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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Franck, Bonnier; Hélène, Blasco; Clément, Wasselet; Guillaume, Brachet; +6 Authors

    Infrared spectroscopy is a reliable, rapid and cost effective characterisation technique, delivering a molecular finger print of the sample. It is expected that its sensitivity would enable detection of small chemical variations in biological samples associated with disease. ATR-IR is particularly suitable for liquid sample analysis and, although air drying is commonly performed before data collection, just a drop of human serum is enough for screening and early diagnosis. However, the dynamic range of constituent biochemical concentrations in the serum composition remains a limiting factor to the reliability of the technique. Using glucose as a model spike in human serum, it has been demonstrated in the present study that fractionating the serum prior to spectroscopic analysis can considerably improve the precision and accuracy of quantitative models based on the partial least squares regression algorithm. By depleting the abundant high molecular weight proteins, which otherwise dominate the spectral signatures collected, the ability to monitor changes in the concentrations of the low molecular weight constituents is enhanced. The Root Mean Square Error for the Validation set (RMSEV) has been improved by a factor of 5 following human serum processing with an average relative error in the predictive values below 1% being achieved. Moreover, the approach is easily transferable to different bodily fluids, which would support the development of more efficient and suitable clinical protocols for exploration of vibrational spectroscopy based ex vivo diagnostic tools.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ The Analyst; CORE (R...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Arrow@TU Dublin
    Article . 2017
    Data sources: Arrow@TU Dublin
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Arrow@TU Dublin
    Article . 2016
    License: CC BY NC SA
    Data sources: Arrow@TU Dublin
    The Analyst
    Article . 2017
    Hal-Diderot
    Article . 2017
    Data sources: Hal-Diderot
    The Analyst
    Article . 2017 . Peer-reviewed
    Data sources: Crossref
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; +331 Authors

    Measurements of the second Fourier harmonic coefficient (v2) of the azimuthal distributions of prompt and nonprompt D0 mesons produced in pp and pPb collisions are presented. Nonprompt D0 mesons come from beauty hadron decays. The data samples are collected by the CMS experiment at nucleon-nucleon center-of-mass energies of 13 and 8.16 TeV, respectively. In high multiplicity pp collisions, v2 signals for prompt charm hadrons are reported for the first time, and are found to be comparable to those for light-flavor hadron species over a transverse momentum (pT) range of 2–6 GeV. Compared at similar event multiplicities, the prompt D0 meson v2 values in pp and pPb collisions are similar in magnitude. The v2 values for open beauty hadrons are extracted for the first time via nonprompt D0 mesons in pPb collisions. For pT in the range of 2–5 GeV, the results suggest that v2 for nonprompt D0 mesons is smaller than that for prompt D0 mesons. These new measurements indicate a positive charm hadron v2 in pp collisions and suggest a mass dependence in v2 between charm and beauty hadrons in the pPb system. These results provide insights into the origin of heavy-flavor quark collectivity in small systems. Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 752730, and 765710 (European Union); CERN; the Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2015-0509 and the Programa Severo Ochoa del Principado de Asturias. CMS Collaboration: et al. Funded by SCOAP3. Peer reviewed

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    Research Collection
    Article . 2021
    License: CC BY
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    Zurich Open Repository and Archive
    Other literature type . 2021
    License: CC BY
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    KITopen
    Article . 2021
    License: CC BY
    Data sources: KITopen
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    Physics Letters B
    Article . 2021
    Data sources: DOAJ-Articles
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    https://doi.org/10.5445/ir/100...
    Article . 2021
    License: CC BY
    Data sources: Datacite
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    DI-fusion
    Article . 2020 . Peer-reviewed
    Data sources: DI-fusion
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    CERN Document Server
    Other literature type . 2020
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    DOAJ
    Article . 2021
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    https://doi.org/10.5167/uzh-21...
    Other literature type . 2021
    Data sources: Datacite
    ETH Zürich Research Collection
    Article . 2021
    License: CC BY
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    https://doi.org/10.48550/arxiv...
    Article . 2020
    License: CC BY
    Data sources: Datacite
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  • Authors: Souayed, Rima Tfaily; Gaïti, Dominique; Pujolle, Guy; Yu, Wai; +1 Authors

    This paper reports on the performance of distributed haptic virtual environment (DHVE) applications deployed over policy-based IP networks. Our previous work reported that a best effort service in IP networks is inadequate for satisfying the quality of service (QoS) requirements of such applications. The current work tries to find out whether applying differentiated services (DiffServ) satisfies DHVE QoS requirements or at least improves them. This work also determines which policies should be applied on the network. A set of experiments was conducted over a network connecting two departments of the Queen's University of Belfast. The results are presented in this paper and compared with our previous work results.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Graignic, Pascal; Vosgien, Thomas; Jankovic, Marija; Tuloup, Vincent; +2 Authors

    Abstract The multi-disciplinary nature of complex system, such as aero engines, requires a data structure that considers the behavioural interactions within the system. This paper focuses on the management of simulations models and data, with respect to complex system structure. It is proposed to use model based system engineering (MBSE) methodology to support modelling activities and improve the integration of simulation activities in the design process. Current studies on MBSE address the issue of representing and integrating design models with diverse analysis/simulation/behavioural models. However, some limitations can be identified, especially regarding the federation of system presentation for addressing the overall behavioural aspects of the product (multi-physic, local and global behaviours) and thus considering the several system levels. Our proposal is to provide a software framework based on a data model that manages complex system structure. This data model structures behavioural information considering three major interactions: • Interactions between components simulation models, • Interactions considering multi-level behaviours (e.g. use of components simulation for a module simulation) and • Interactions between domain behaviours (e.g. Thermal impact on mechanical). A demonstration of this software framework is proposed, based on the set-up of a mechanical simulation of an aero engine using CATIA/SIMULIA V6.

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    Hal-Diderot
    Conference object . 2013
    Data sources: Hal-Diderot
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: S. Dobson; S. Denazis; A. Fernandez; D. Gaiti; +6 Authors

    International audience; Autonomic communications seek to improve the ability of network and services to cope with unpredicted change, including changes in topology, load, task, the physical and logical characteristics of the networks that can be accessed, and so forth. Broad-ranging autonomic solutions require designers to account for a range of end-to-end issues affecting programming models, network and contextual modeling and reasoning, decentralised algorithms, trust acquisition and maintenance---issues whose solutions may draw on approaches and results from a surprisingly broad range of disciplines. We survey the current state of autonomic communications research and identify significant emerging trends and techniques.

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    Hal-Diderot
    Article . 2006
    Data sources: Hal-Diderot
    ACM Transactions on Autonomous and Adaptive Systems
    Article . 2006 . Peer-reviewed
    Data sources: Crossref
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    Authors: Collaboration, Euclid; Bisigello, L; Conselice, C J; Baes, M; +196 Authors

    Next generation telescopes, like Euclid, Rubin/LSST, and Roman, will open new windows on the Universe, allowing us to infer physical properties for tens of millions of galaxies. Machine learning methods are increasingly becoming the most efficient tools to handle this enormous amount of data, because they are often faster and more accurate than traditional methods. We investigate how well redshifts, stellar masses, and star-formation rates (SFR) can be measured with deep learning algorithms for observed galaxies within data mimicking the Euclid and Rubin/LSST surveys. We find that Deep Learning Neural Networks and Convolutional Neutral Networks (CNN), which are dependent on the parameter space of the training sample, perform well in measuring the properties of these galaxies and have a better accuracy than methods based on spectral energy distribution fitting. CNNs allow the processing of multi-band magnitudes together with $H_{\scriptscriptstyle\rm E}$-band images. We find that the estimates of stellar masses improve with the use of an image, but those of redshift and SFR do not. Our best results are deriving i) the redshift within a normalised error of less than 0.15 for 99.9$\%$ of the galaxies with S/N>3 in the $H_{\scriptscriptstyle\rm E}$-band; ii) the stellar mass within a factor of two ($\sim0.3 \rm dex$) for 99.5$\%$ of the considered galaxies; iii) the SFR within a factor of two ($\sim0.3 \rm dex$) for $\sim$70$\%$ of the sample. We discuss the implications of our work for application to surveys as well as how measurements of these galaxy parameters can be improved with deep learning. accepted for publication in MNRAS, 21 pages, 22 figures, 6 tables

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    https://doi.org/10.48550/arxiv...
    Article . 2022
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    Authors: Bousquet, J.; Jorgensen, C.; Dauzat, M.; Cesario, A.; +62 Authors

    International audience; Chronic diseases are diseases of long duration and slow progression. Major NCDs (cardiovascular diseases, cancer, chronic respiratory diseases, diabetes, rheumatologic diseases and mental health) represent the predominant health problem of the Century. The prevention and control of NCDs are the priority of the World Health Organization 2008 Action Plan, the United Nations 2010 Resolution and the European Union 2010 Council. The novel trend for the management of NCDs is evolving towards integrative, holistic approaches. NCDs are intertwined with ageing. The European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) has prioritised NCDs. To tackle them in their totality in order to reduce their burden and societal impact, it is proposed that NCDs should be considered as a single expression of disease with different risk factors and entities. An innovative integrated health system built around systems medicine and strategic partnerships is proposed to combat NCDs. It includes (i) understanding the social, economic, environmental, genetic determinants, as well as the molecular and cellular mechanisms underlying NCDs; (ii) primary care and practice-based interprofessional collaboration; (iii) carefully phenotyped patients; (iv) development of unbiased and accurate biomarkers for comorbidities, severity and follow up of patients; (v) socio-economic science; (vi) development of guidelines; (vii) training; and (viii) policy decisions. The results could be applicable to all countries and adapted to local needs, economy and health systems. This paper reviews the complexity of NCDs intertwined with ageing. It gives an overview of the problem and proposes two practical examples of systems medicine (MeDALL) applied to allergy and to NCD co-morbidities (MACVIA-LR, Reference Site of the European Innovation Partnership on Active and Healthy Ageing).

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    Current Pharmaceutical Design
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    Article . 2014
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    Article . 2014
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    Current Pharmaceutical Design
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    LUMC Scholarly Publications; NARCIS
    Other literature type . Article . 2014
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  • Authors: Davesne, Anne-Lise; Bourbigot, Serge; Jimenez, Maude; Samyn, Fabienne; +3 Authors

    Il est connu que le rayonnement infrarouge durant un incendie contribue majoritairement aux transferts de chaleur. C'est pourquoi des revêtements pouvant réfléchir les rayons infrarouge sont prometteur pour la protection passive contre le feu des matériaux, puisqu'ils seraient théoriquement capable d'empêcher complètement le transfert de chaleur radiatif au substrat. Cette approche pourrait être utilisée pour retarder la dégradation et l'embrasement des polymères en limitant les transferts de chaleur avec l'environnement. Les métaux sont des candidats pertinents puisqu'ils sont des réflecteurs presque parfait dans la gamme des longueurs d'onde infrarouge du spectre électromagnétique. Cependant, ils se corrodent et perdent leurs propriétés optiques s'ils sont soumis à des hautes températures. De plus, déposer une couche métallique sur un substrat sensible thermiquement et isolant n'est pas simple. La pulvérisation cathodique magnétron pulsée de cibles métalliques pures permets de déposer des métaux sur des substrats tout en maintenant leur température relativement basse. Elle permet aussi de déposer une couche de diélectrique qui pourrait protéger le métal sans impacter ses propriétés de réflexion des infrarouges. Cette technique a été utilisée pour revêtir des plaques de polypropylene (PP) et de polyamide 6 (PA6) avec une fine couche de Aluminium/alumina. La performance de ces systèmes a été évaluée par un cône calorimètre à perte de masse (flux de chaleur externe de 50 kW/m²) avec un thermocouple pour mesurer l'évolution de la température au dos de l'échantillon. Avec des épaisseur inférieure à 1µm, es résultats impressionnants ont été obtenus. Le temps d'ignition a été considérablement amélioré, et la montée en température en face arrière de l'échantillon a été quantitativement ralentie. Par exmple, dans le cas du PA6, l'ignition a été retardée de plus d'une heure (80s pour le polymère seul), et la température au dos de l'échantillon a été maintenue en dessous de 320°C pour le même temps (5min pour le polymère seul). De plus, un effet de synergie a été visé en combinant les revêtements infrarouge avec des mécanismes de retard au feu en masse. Infrared radiation during a fire is known to be the main contributor to heat transfer. Therefore, coatings that can reflect infrared rays are promising for passive fire protection of materials, as they would theoretically be able to completely hinder radiative heat transfers to the substrate. This approach could be effectively used to delay the degradation and burning of polymers by limiting the heat transfers with the environment. Metals are relevant candidates since they are near perfect reflectors in the infrared range of the electromagnetic spectrum. However, they corrode and lose their properties once put under high temperatures. Moreover, coating a metallic layer on a thermally sensitive and isolating substrate is not straight-forward. Pulsed DC magnetron sputtering of pure metallic targets allows to deposit metals on substrates while maintaining their temperature relatively low. It also enables the deposition of a dielectric layer, which could effectively protect the metal without impacting its infrared reflection property. This technique was used to coat polypropylene and polyamide 6 (PA6) plates with a thin aluminum/alumina bilayer. The performance of these systems was evaluated using cone calorimetry (external heat flux of 50kW/m²) with a thermocouple to monitor the temperature at the back of the sample. With thicknesses less than 1 µm, impressive results were obtained. Time to ignition has been considerably improved, and the increase in temperature at the backside of the sample was significantly slowed down. For example, in the case of PA6, ignition was delayed to more than an hour (80s for the uncoated polymer) and the temperature at the back of the sample was kept under 320°C for the same amount of time (whereas it was reached under 5 min for the bare material). Additionally, a synergistic effect was targeted by combining the infrared coating designed with bulk fire retardant systems.

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    Authors: Khaled Guerraiche; Latifa Dekhici; Eric Chatelet; Abdelkader Zeblah;

    International audience; The design of energy systems is very important in order to reduce operating costs and guarantee the reliability of a system. This paper proposes a new algorithm to solve the design problem of optimal multi-objective redundancy of series-parallel power systems. The chosen algorithm is based on the hybridization of two metaheuristics, which are the bat algorithm (BA) and the generalized evolutionary walk algorithm (GEWA), also called BAG (bat algorithm with generalized flight). The approach is combined with the Ushakov method, the universal moment generating function (UMGF), to evaluate the reliability of the multi-state series-parallel system. The multi-objective design aims to minimize the design cost, and to maximize the reliability and the performance of the electric power generation system from solar and gas generators by taking into account the reliability indices. Power subsystem devices are labeled according to their reliabilities, costs and performances. Reliability hangs on an operational system, and implies likewise satisfying customer demand, so it depends on the amassed batch curve. Two different design allocation problems, commonly found in power systems planning, are solved to show the performance of the algorithm. The first is a bi-objective formulation that corresponds to the minimization of system investment cost and maximization of system availability. In the second, the multi-objective formulation seeks to maximize system availability, minimize system investment cost, and maximize the capacity of the system.

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    Energies
    Article . 2021
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    Article . 2021
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    Authors: Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; +218 Authors

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NSFC (China)National Natural Science Foundation of China (NSFC); COLCIENCIAS (Colombia)Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias; MSES (Croatia); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER (Estonia); ERC IUT (Estonia)Estonian Research Council; PUT (Estonia); ERDF (Estonia)European Union (EU); Academy of Finland (Finland)Academy of Finland; MEC (Finland); HIP (Finland); CEA (France)French Atomic Energy Commission; CNRS/IN2P3 (France)Centre National de la Recherche Scientifique (CNRS); BMBF (Germany)Federal Ministry of Education & Research (BMBF); DFG (Germany)German Research Foundation (DFG); HGF (Germany); GSRT (Greece)Greek Ministry of Development-GSRT; NKFIA (Hungary); DAE (India)Department of Atomic Energy (DAE); DST (India)Department of Science & Technology (India); IPM (Iran); SFI (Ireland)Science Foundation Ireland; INFN (Italy)Istituto Nazionale di Fisica Nucleare (INFN); MSIP (Republic of Korea); NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE (Malaysia); UM (Malaysia); BUAP (Mexico); CINVESTAV (Mexico); CONACYT (Mexico)Consejo Nacional de Ciencia y Tecnologia (CONACyT); LNS (Mexico); SEP (Mexico); UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE (Poland); NSC (Poland); FCT (Portugal)Portuguese Foundation for Science and Technology; JINR (Dubna); MON (Russia); RosAtom (Russia); RAS (Russia)Russian Academy of Sciences; RFBR (Russia)Russian Foundation for Basic Research (RFBR); NRC KI (Russia); MESTD (Serbia); SEIDI (Spain); CPAN (Spain); PCTI (Spain); FEDER (Spain)European Union (EU); MOSTR (Sri Lanka); MST (Taipei); ThEPCenter (Thailand); IPST (Thailand); STAR (Thailand); NSTDA (Thailand); TUBITAK (Turkey)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK); TAEK (Turkey)Ministry of Energy & Natural Resources - Turkey; NASU (Ukraine); STFC (United Kingdom)Science & Technology Facilities Council (STFC); DOE (USA)United States Department of Energy (DOE); NSF (USA)National Science Foundation (NSF) MOS (Montenegro); CEA and CNRS/IN2P3 (France); We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC and the CMS detector provided by the following funding agencies: BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER, ERC IUT, PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); NKFIA (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS, RFBR, and NRC KI (Russia); MESTD (Serbia); SEIDI, CPAN, PCTI, and FEDER (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter, IPST, STAR, and NSTDA (Thailand); TUBITAK and TAEK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (USA). Ultrarelativistic heavy ion collisions recreate in the laboratory the thermodynamical conditions prevailing in the early universe up to 10(-6) sec, thereby allowing the study of the quark-gluon plasma (QGP), a state of quantum chromodynamics (QCD) matter with deconfined partons. The top quark, the heaviest elementary particle known, is accessible in nucleus-nucleus collisions at the CERN LHC, and constitutes a novel probe of the QGP. Here, we report the first evidence for the production of top quarks in nucleus-nucleus collisions, using lead-lead collision data at a nucleon-nucleon center-of-mass energy of 5.02 TeV recorded by the CMS experiment. Two methods are used to measure the cross section for top quark pair production (sigma(t (t) over bar)) via the selection of charged leptons (electrons or muons) and bottom quarks. One method relies on the leptonic information alone, and the second one exploits, in addition, the presence of bottom quarks. The measured cross sections, sigma(t (t) over bar) = 2.54(-0.74)(+0.84) and 2.03(-0.64)(+0.71) mu b, respectively, are compatible with expectations from scaled proton-proton data and QCD predictions. PubMed: 33315428

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    DI-fusion
    Article . 2020 . Peer-reviewed
    Data sources: DI-fusion
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    CERN Document Server
    Other literature type . 2020
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    Zurich Open Repository and Archive
    Other literature type . 2020
    License: CC BY
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    CERN Document Server
    Other literature type . 2019
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    DSpace@IZTECH
    Article . 2020
    Data sources: DSpace@IZTECH
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    https://doi.org/10.5445/ir/100...
    Article . 2020
    License: CC BY
    Data sources: Datacite
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    Aperta - TÜBİTAK Açık Arşivi
    Other literature type . 2020
    License: CC BY
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    https://doi.org/10.5167/uzh-19...
    Other literature type . 2020
    Data sources: Datacite
    Hal-Diderot
    Article . 2020
    Data sources: Hal-Diderot
    https://doi.org/10.48550/arxiv...
    Article . 2020
    License: CC BY
    Data sources: Datacite
    ETH Zürich Research Collection
    Article . 2020
    License: CC BY
    Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Franck, Bonnier; Hélène, Blasco; Clément, Wasselet; Guillaume, Brachet; +6 Authors

    Infrared spectroscopy is a reliable, rapid and cost effective characterisation technique, delivering a molecular finger print of the sample. It is expected that its sensitivity would enable detection of small chemical variations in biological samples associated with disease. ATR-IR is particularly suitable for liquid sample analysis and, although air drying is commonly performed before data collection, just a drop of human serum is enough for screening and early diagnosis. However, the dynamic range of constituent biochemical concentrations in the serum composition remains a limiting factor to the reliability of the technique. Using glucose as a model spike in human serum, it has been demonstrated in the present study that fractionating the serum prior to spectroscopic analysis can considerably improve the precision and accuracy of quantitative models based on the partial least squares regression algorithm. By depleting the abundant high molecular weight proteins, which otherwise dominate the spectral signatures collected, the ability to monitor changes in the concentrations of the low molecular weight constituents is enhanced. The Root Mean Square Error for the Validation set (RMSEV) has been improved by a factor of 5 following human serum processing with an average relative error in the predictive values below 1% being achieved. Moreover, the approach is easily transferable to different bodily fluids, which would support the development of more efficient and suitable clinical protocols for exploration of vibrational spectroscopy based ex vivo diagnostic tools.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ The Analyst; CORE (R...arrow_drop_down
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    Arrow@TU Dublin
    Article . 2017
    Data sources: Arrow@TU Dublin
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    Arrow@TU Dublin
    Article . 2016
    License: CC BY NC SA
    Data sources: Arrow@TU Dublin
    The Analyst
    Article . 2017
    Hal-Diderot
    Article . 2017
    Data sources: Hal-Diderot
    The Analyst
    Article . 2017 . Peer-reviewed
    Data sources: Crossref
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; +331 Authors

    Measurements of the second Fourier harmonic coefficient (v2) of the azimuthal distributions of prompt and nonprompt D0 mesons produced in pp and pPb collisions are presented. Nonprompt D0 mesons come from beauty hadron decays. The data samples are collected by the CMS experiment at nucleon-nucleon center-of-mass energies of 13 and 8.16 TeV, respectively. In high multiplicity pp collisions, v2 signals for prompt charm hadrons are reported for the first time, and are found to be comparable to those for light-flavor hadron species over a transverse momentum (pT) range of 2–6 GeV. Compared at similar event multiplicities, the prompt D0 meson v2 values in pp and pPb collisions are similar in magnitude. The v2 values for open beauty hadrons are extracted for the first time via nonprompt D0 mesons in pPb collisions. For pT in the range of 2–5 GeV, the results suggest that v2 for nonprompt D0 mesons is smaller than that for prompt D0 mesons. These new measurements indicate a positive charm hadron v2 in pp collisions and suggest a mass dependence in v2 between charm and beauty hadrons in the pPb system. These results provide insights into the origin of heavy-flavor quark collectivity in small systems. Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 752730, and 765710 (European Union); CERN; the Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2015-0509 and the Programa Severo Ochoa del Principado de Asturias. CMS Collaboration: et al. Funded by SCOAP3. Peer reviewed

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    Research Collection
    Article . 2021
    License: CC BY
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    Zurich Open Repository and Archive
    Other literature type . 2021
    License: CC BY
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    KITopen
    Article . 2021
    License: CC BY
    Data sources: KITopen
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    Physics Letters B
    Article . 2021
    Data sources: DOAJ-Articles
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    https://doi.org/10.5445/ir/100...
    Article . 2021
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    Data sources: Datacite
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    DI-fusion
    Article . 2020 . Peer-reviewed
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    CERN Document Server
    Other literature type . 2020
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    DOAJ
    Article . 2021
    Data sources: DOAJ
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    https://doi.org/10.5167/uzh-21...
    Other literature type . 2021
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    ETH Zürich Research Collection
    Article . 2021
    License: CC BY
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    https://doi.org/10.48550/arxiv...
    Article . 2020
    License: CC BY
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  • Authors: Souayed, Rima Tfaily; Gaïti, Dominique; Pujolle, Guy; Yu, Wai; +1 Authors

    This paper reports on the performance of distributed haptic virtual environment (DHVE) applications deployed over policy-based IP networks. Our previous work reported that a best effort service in IP networks is inadequate for satisfying the quality of service (QoS) requirements of such applications. The current work tries to find out whether applying differentiated services (DiffServ) satisfies DHVE QoS requirements or at least improves them. This work also determines which policies should be applied on the network. A set of experiments was conducted over a network connecting two departments of the Queen's University of Belfast. The results are presented in this paper and compared with our previous work results.

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    Authors: Graignic, Pascal; Vosgien, Thomas; Jankovic, Marija; Tuloup, Vincent; +2 Authors

    Abstract The multi-disciplinary nature of complex system, such as aero engines, requires a data structure that considers the behavioural interactions within the system. This paper focuses on the management of simulations models and data, with respect to complex system structure. It is proposed to use model based system engineering (MBSE) methodology to support modelling activities and improve the integration of simulation activities in the design process. Current studies on MBSE address the issue of representing and integrating design models with diverse analysis/simulation/behavioural models. However, some limitations can be identified, especially regarding the federation of system presentation for addressing the overall behavioural aspects of the product (multi-physic, local and global behaviours) and thus considering the several system levels. Our proposal is to provide a software framework based on a data model that manages complex system structure. This data model structures behavioural information considering three major interactions: • Interactions between components simulation models, • Interactions considering multi-level behaviours (e.g. use of components simulation for a module simulation) and • Interactions between domain behaviours (e.g. Thermal impact on mechanical). A demonstration of this software framework is proposed, based on the set-up of a mechanical simulation of an aero engine using CATIA/SIMULIA V6.

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    Hal-Diderot
    Conference object . 2013
    Data sources: Hal-Diderot
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: S. Dobson; S. Denazis; A. Fernandez; D. Gaiti; +6 Authors

    International audience; Autonomic communications seek to improve the ability of network and services to cope with unpredicted change, including changes in topology, load, task, the physical and logical characteristics of the networks that can be accessed, and so forth. Broad-ranging autonomic solutions require designers to account for a range of end-to-end issues affecting programming models, network and contextual modeling and reasoning, decentralised algorithms, trust acquisition and maintenance---issues whose solutions may draw on approaches and results from a surprisingly broad range of disciplines. We survey the current state of autonomic communications research and identify significant emerging trends and techniques.

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    Hal-Diderot
    Article . 2006
    Data sources: Hal-Diderot
    ACM Transactions on Autonomous and Adaptive Systems
    Article . 2006 . Peer-reviewed
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Collaboration, Euclid; Bisigello, L; Conselice, C J; Baes, M; +196 Authors

    Next generation telescopes, like Euclid, Rubin/LSST, and Roman, will open new windows on the Universe, allowing us to infer physical properties for tens of millions of galaxies. Machine learning methods are increasingly becoming the most efficient tools to handle this enormous amount of data, because they are often faster and more accurate than traditional methods. We investigate how well redshifts, stellar masses, and star-formation rates (SFR) can be measured with deep learning algorithms for observed galaxies within data mimicking the Euclid and Rubin/LSST surveys. We find that Deep Learning Neural Networks and Convolutional Neutral Networks (CNN), which are dependent on the parameter space of the training sample, perform well in measuring the properties of these galaxies and have a better accuracy than methods based on spectral energy distribution fitting. CNNs allow the processing of multi-band magnitudes together with $H_{\scriptscriptstyle\rm E}$-band images. We find that the estimates of stellar masses improve with the use of an image, but those of redshift and SFR do not. Our best results are deriving i) the redshift within a normalised error of less than 0.15 for 99.9$\%$ of the galaxies with S/N>3 in the $H_{\scriptscriptstyle\rm E}$-band; ii) the stellar mass within a factor of two ($\sim0.3 \rm dex$) for 99.5$\%$ of the considered galaxies; iii) the SFR within a factor of two ($\sim0.3 \rm dex$) for $\sim$70$\%$ of the sample. We discuss the implications of our work for application to surveys as well as how measurements of these galaxy parameters can be improved with deep learning. accepted for publication in MNRAS, 21 pages, 22 figures, 6 tables

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    https://doi.org/10.48550/arxiv...
    Article . 2022
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Bousquet, J.; Jorgensen, C.; Dauzat, M.; Cesario, A.; +62 Authors

    International audience; Chronic diseases are diseases of long duration and slow progression. Major NCDs (cardiovascular diseases, cancer, chronic respiratory diseases, diabetes, rheumatologic diseases and mental health) represent the predominant health problem of the Century. The prevention and control of NCDs are the priority of the World Health Organization 2008 Action Plan, the United Nations 2010 Resolution and the European Union 2010 Council. The novel trend for the management of NCDs is evolving towards integrative, holistic approaches. NCDs are intertwined with ageing. The European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) has prioritised NCDs. To tackle them in their totality in order to reduce their burden and societal impact, it is proposed that NCDs should be considered as a single expression of disease with different risk factors and entities. An innovative integrated health system built around systems medicine and strategic partnerships is proposed to combat NCDs. It includes (i) understanding the social, economic, environmental, genetic determinants, as well as the molecular and cellular mechanisms underlying NCDs; (ii) primary care and practice-based interprofessional collaboration; (iii) carefully phenotyped patients; (iv) development of unbiased and accurate biomarkers for comorbidities, severity and follow up of patients; (v) socio-economic science; (vi) development of guidelines; (vii) training; and (viii) policy decisions. The results could be applicable to all countries and adapted to local needs, economy and health systems. This paper reviews the complexity of NCDs intertwined with ageing. It gives an overview of the problem and proposes two practical examples of systems medicine (MeDALL) applied to allergy and to NCD co-morbidities (MACVIA-LR, Reference Site of the European Innovation Partnership on Active and Healthy Ageing).

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    Current Pharmaceutical Design
    Article
    License: CC BY ND SA
    Data sources: UnpayWall
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    Ktisis
    Article . 2014
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    Article . 2014
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    Current Pharmaceutical Design
    Article . 2014 . Peer-reviewed
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    Article . 2014
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    LUMC Scholarly Publications; NARCIS
    Other literature type . Article . 2014
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  • Authors: Davesne, Anne-Lise; Bourbigot, Serge; Jimenez, Maude; Samyn, Fabienne; +3 Authors

    Il est connu que le rayonnement infrarouge durant un incendie contribue majoritairement aux transferts de chaleur. C'est pourquoi des revêtements pouvant réfléchir les rayons infrarouge sont prometteur pour la protection passive contre le feu des matériaux, puisqu'ils seraient théoriquement capable d'empêcher complètement le transfert de chaleur radiatif au substrat. Cette approche pourrait être utilisée pour retarder la dégradation et l'embrasement des polymères en limitant les transferts de chaleur avec l'environnement. Les métaux sont des candidats pertinents puisqu'ils sont des réflecteurs presque parfait dans la gamme des longueurs d'onde infrarouge du spectre électromagnétique. Cependant, ils se corrodent et perdent leurs propriétés optiques s'ils sont soumis à des hautes températures. De plus, déposer une couche métallique sur un substrat sensible thermiquement et isolant n'est pas simple. La pulvérisation cathodique magnétron pulsée de cibles métalliques pures permets de déposer des métaux sur des substrats tout en maintenant leur température relativement basse. Elle permet aussi de déposer une couche de diélectrique qui pourrait protéger le métal sans impacter ses propriétés de réflexion des infrarouges. Cette technique a été utilisée pour revêtir des plaques de polypropylene (PP) et de polyamide 6 (PA6) avec une fine couche de Aluminium/alumina. La performance de ces systèmes a été évaluée par un cône calorimètre à perte de masse (flux de chaleur externe de 50 kW/m²) avec un thermocouple pour mesurer l'évolution de la température au dos de l'échantillon. Avec des épaisseur inférieure à 1µm, es résultats impressionnants ont été obtenus. Le temps d'ignition a été considérablement amélioré, et la montée en température en face arrière de l'échantillon a été quantitativement ralentie. Par exmple, dans le cas du PA6, l'ignition a été retardée de plus d'une heure (80s pour le polymère seul), et la température au dos de l'échantillon a été maintenue en dessous de 320°C pour le même temps (5min pour le polymère seul). De plus, un effet de synergie a été visé en combinant les revêtements infrarouge avec des mécanismes de retard au feu en masse. Infrared radiation during a fire is known to be the main contributor to heat transfer. Therefore, coatings that can reflect infrared rays are promising for passive fire protection of materials, as they would theoretically be able to completely hinder radiative heat transfers to the substrate. This approach could be effectively used to delay the degradation and burning of polymers by limiting the heat transfers with the environment. Metals are relevant candidates since they are near perfect reflectors in the infrared range of the electromagnetic spectrum. However, they corrode and lose their properties once put under high temperatures. Moreover, coating a metallic layer on a thermally sensitive and isolating substrate is not straight-forward. Pulsed DC magnetron sputtering of pure metallic targets allows to deposit metals on substrates while maintaining their temperature relatively low. It also enables the deposition of a dielectric layer, which could effectively protect the metal without impacting its infrared reflection property. This technique was used to coat polypropylene and polyamide 6 (PA6) plates with a thin aluminum/alumina bilayer. The performance of these systems was evaluated using cone calorimetry (external heat flux of 50kW/m²) with a thermocouple to monitor the temperature at the back of the sample. With thicknesses less than 1 µm, impressive results were obtained. Time to ignition has been considerably improved, and the increase in temperature at the backside of the sample was significantly slowed down. For example, in the case of PA6, ignition was delayed to more than an hour (80s for the uncoated polymer) and the temperature at the back of the sample was kept under 320°C for the same amount of time (whereas it was reached under 5 min for the bare material). Additionally, a synergistic effect was targeted by combining the infrared coating designed with bulk fire retardant systems.

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    Authors: Khaled Guerraiche; Latifa Dekhici; Eric Chatelet; Abdelkader Zeblah;

    International audience; The design of energy systems is very important in order to reduce operating costs and guarantee the reliability of a system. This paper proposes a new algorithm to solve the design problem of optimal multi-objective redundancy of series-parallel power systems. The chosen algorithm is based on the hybridization of two metaheuristics, which are the bat algorithm (BA) and the generalized evolutionary walk algorithm (GEWA), also called BAG (bat algorithm with generalized flight). The approach is combined with the Ushakov method, the universal moment generating function (UMGF), to evaluate the reliability of the multi-state series-parallel system. The multi-objective design aims to minimize the design cost, and to maximize the reliability and the performance of the electric power generation system from solar and gas generators by taking into account the reliability indices. Power subsystem devices are labeled according to their reliabilities, costs and performances. Reliability hangs on an operational system, and implies likewise satisfying customer demand, so it depends on the amassed batch curve. Two different design allocation problems, commonly found in power systems planning, are solved to show the performance of the algorithm. The first is a bi-objective formulation that corresponds to the minimization of system investment cost and maximization of system availability. In the second, the multi-objective formulation seeks to maximize system availability, minimize system investment cost, and maximize the capacity of the system.

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    Authors: Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; +218 Authors

    Martinez Ruiz del Arbol, Pablo/0000-0002-7737-5121; Lotfy Abdelfattah Ahmad, Ahmad/0000-0003-4681-0079; Arneodo, Michele/0000-0002-7790-7132; Redondo, Ignacio/0000-0003-3737-4121; Shchutska, Lesya/0000-0003-0700-5448; Collard, Caroline/0000-0002-5230-8387; Consuegra Rodriguez, Sandra/0000-0002-1383-1837; Sosa Ricardo, Rafael Eduardo/0000-0002-2240-6699; Belforte, Stefano/0000-0001-8443-4460; Abbiendi, Giovanni/0000-0003-4499-7562; Jafari, Abideh/0000-0001-7327-1870; Mitra, Soureek/0000-0002-3060-2278; Ghosh, Saranya/0000-0001-6717-0803; Tavolaro, Vittorio Raoul/0000-0003-2518-7521; Meridiani, Paolo/0000-0002-8480-2259; Saka, Halil/0000-0001-7616-2573; Fernandez Perez Tomei, Thiago Rafael/0000-0002-1809-5226; d'Enterria, David/0000-0002-5754-4303; Costa, Salvatore/0000-0001-9919-0569; Ecklund, Karl/0000-0002-6976-4637; Fernandez Ramos, Juan Pablo/0000-0002-0122-313X; Litov, Leandar/0000-0002-8511-6883; Watson, Ian/0000-0003-2141-3413; Botta, Cristina/0000-0002-8072-795X; Bloom, Kenneth/0000-0002-4272-8900; Delaere, Christophe/0000-0001-8707-6021; Mousa, Jehad/0000-0002-2978-2718; Ruiz Jimeno, Alberto/0000-0002-3639-0368; Galli Mercadante, Pedro/0000-0001-8333-4302; Waltenberger, Wolfgang/0000-0002-6215-7228; Androsov, Konstantin/0000-0003-2694-6542; Calligaris, Luigi/0000-0002-9951-9448; Tully, Christopher/0000-0001-6771-2174; David, Pieter/0000-0001-9260-9371; Lange, Clemens/0000-0002-3632-3157; Taylor, Lucas/0000-0002-6584-2538; Wu, Zhenbin/0000-0003-2165-9501; Kyberd, Paul/0000-0002-7353-7090; Piperov, Stefan/0000-0002-9266-7819; Konecki, Marcin/0000-0001-9482-4841; Caputo, Claudio/0000-0001-7522-4808; Levchuk, Leonid/0000-0001-5889-7410; Sharma, Ram Krishna/0000-0003-1181-1426; Joshi, Yagya/0000-0002-0651-1878; Snoeys, Walter/0000-0003-3541-9066; Li, Qiang/0000-0002-8290-0517; FORD, WILLIAM/0000-0001-8703-6943; Tholen, Heiner/0000-0002-2299-2421; Dragicevic, Marko/0000-0003-1967-6783; Martelli, Arabella/0000-0003-3530-2255; Cepeda, Maria/0000-0002-6076-4083; Faccioli, Pietro/0000-0003-1849-6692; Gandrajula, Reddy Pratap/0000-0001-9053-3182; Viliani, Lorenzo/0000-0002-1909-6343; Feld, Lutz/0000-0001-9813-8646; lee, jason/0000-0002-2153-1519; Ruiz, Jose/0000-0002-3306-0363; Bhandari, Rohan/0000-0001-5888-955X; Frankenthal, Andre/0000-0002-2583-5982; Palencia Cortezon, Jose Enrique/0000-0001-8264-0287; Hamel de Monchenault, Gautier/0000-0002-3872-3592; Sciacca, Crisostomo/0000-0002-8412-4072; Kasemann, Matthias/0000-0002-0429-2448; Novaes, Sergio/0000-0003-0471-8549; Landsberg, Greg/0000-0002-4184-9380; Mora Herrera, Maria Clemencia/0000-0003-3915-3170; Bravo, Cameron/0000-0003-1102-8247; Bartok, Marton/0000-0002-4440-2701; Lucchini, Marco Toliman/0000-0002-7497-7450; Pfeiffer, Andreas/0000-0001-5328-448X; Kothekar, Kunal/0000-0001-5102-4326; Padula, Sandra S./0000-0003-3071-0559; Pantaleo, Felice/0000-0003-3266-4357; Vilela Pereira, Antonio/0000-0003-3177-4626; Wardle, Nicholas/0000-0003-1344-3356; Chapon, Emilien/0000-0001-6968-9828; Monaco, Vincenzo/0000-0002-3617-2432; Buchanan, James/0000-0001-8207-5556; Khvedelidze, Arsen/0000-0002-5953-0140; Schonenberger, Myriam/0000-0002-6508-5776; Heindl, Maximilian/0000-0002-2831-463X; Haller, Johannes/0000-0001-9347-7657; Lezki, Samet/0000-0002-6909-774X; Benato, Lisa/0000-0001-5135-7489; Ptochos, Fotios/0000-0002-3432-3452; Ebrahimi, Aliakbar/0000-0003-4472-867X; Harb, Ali/0000-0001-5750-3889; Conway, John/0000-0003-2719-5779; Zenz, Seth/0000-0002-9720-1794; Dogra, Sunil/0000-0002-0812-0758; Steggemann, Jan/0000-0003-4420-5510; Usai, Emanuele/0000-0001-9323-2107; Lethuillier, Morgan/0000-0001-6185-2045; Attia Mahmoud, Mohammed/0000-0001-8692-5458; Malik, Sudhir/0000-0002-6356-2655; Giacomelli, Paolo/0000-0002-6368-7220; Poudyal, Nabin/0000-0003-4278-3464; Zanetti, Marco/0000-0003-4281-4582; Azzi, Patrizia/0000-0002-3129-828X; Tinoco Mendes, Andre David/0000-0001-5854-7699; Hurtado Anampa, Kenyi/0000-0002-9779-3566; Rolandi, Luigi (Gigi)/0000-0002-0635-274X; Zuolo, Davide/0000-0003-3072-1020; CHANG, PAO-TI/0000-0003-4064-388X; Van Onsem, Gerrit/0000-0002-1664-2337; Klein, Daniel/0000-0001-9143-5162; Zucchetta, Alberto/0000-0003-0380-1172; Dharmaraatna, Welathantri/0000-0002-6366-837X; Cadamuro, Luca/0000-0001-8789-610X; Paulini, Manfred/0000-0002-6714-5787; Popov, Andrey/0000-0002-1207-0984; Giammanco, Andrea/0000-0001-9640-8294; Moraes, Arthur/0000-0002-5157-5686; Belloni, Alberto/0000-0002-1727-656X; Everaerts, Pieter/0000-0003-3848-324X; Rabbertz, Klaus/0000-0001-7040-9846; Vami, Tamas Almos/0000-0002-0959-9211; Smith, Wesley/0000-0003-3195-0909; Ligabue, Franco/0000-0002-1549-7107; Lawhorn, Jay/0000-0002-8597-9259; Bols, Emil Sorensen/0000-0002-8564-8732; Schulte, Jan-Frederik/0000-0003-4421-680X; Yazgan, Efe/0000-0001-5732-7950; Murillo Quijada, Javier Alberto/0000-0003-4933-2092; Kim, Tae Jeong/0000-0001-8336-2434; Rizzi, Andrea/0000-0002-4543-2718; Keaveney, James/0000-0003-0766-5307; Fernandez Menendez, Javier/0000-0002-5213-3708; Hall, Geoffrey/0000-0002-6299-8385; Verweij, Marta/0000-0002-1504-3420; Sanchez-Hernandez, Alberto/0000-0001-9548-0358; Fernandez Bedoya, Cristina/0000-0001-8057-9152; Leonardo, Nuno/0000-0002-9746-4594; Belyaev, Alexander/0000-0002-1733-4408; Lange, Johannes/0000-0001-7513-6330; Raidal, Martti/0000-0001-7040-9491; Fiorendi, Sara/0000-0003-3273-9419; Myronenko, Volodymyr/0000-0002-3984-4732; Golf, Frank/0000-0003-3567-9351; Heath, Helen/0000-0001-6576-9740; Blekman, Freya/0000-0002-7366-7098; Goldstein, Joel/0000-0003-1591-6014; Chauhan, Shubhanshu/0000-0002-6544-5794; Manca, Elisabetta/0000-0001-8946-655X; Hernandez Calama, Jose Maria/0000-0001-6436-7547; Massironi, Andrea/0000-0002-0782-0883; Sharma, Varun/0000-0003-1287-1471; Heikkila, Jaana/0000-0002-0538-1469; Wang, Dayong/0000-0002-9013-1199; Rossi, Biagio/0000-0002-0807-8772; Krikler, Benjamin/0000-0001-9712-0030; Zhang, Zhicai/0000-0002-1630-0986; De Guio, Federico/0000-0001-5927-8865; CUFFIANI, Marco/0000-0003-2510-5039; Moon, Chang-Seong/0000-0001-8229-7829; Tapper, Alexander/0000-0003-4543-864X; Shah, Aashaq/0000-0002-6157-2016; Alves, Gilvan/0000-0002-8369-1446; Gonzalez Caballero, Isidro/0000-0002-8087-3199; D'Hondt, Jorgen/0000-0002-9598-6241; Spagnolo, Paolo/0000-0001-7962-5203; Polikarpov, Sergey/0000-0001-6839-928X; ASILAR, Ece/0000-0001-5680-599X; Nguyen, Thong Q./0000-0003-3954-5131; Wilson, Graham/0000-0003-0917-4763; Gerosa, Raffaele/0000-0001-8359-3734; Canelli, Florencia/0000-0001-6361-2117; Vischia, Pietro/0000-0002-7088-8557; Trevisani, Nicolo/0000-0002-5223-9342; Zghiche, Amina/0000-0002-1178-1450; Gonzalez Lopez, Oscar/0000-0002-4532-6464; Vartak, Adish/0000-0003-1507-1365; Rappoccio, Salvatore/0000-0002-5449-2560; Dominguez, Aaron/0000-0002-7420-5493; Backhaus, Malte/0000-0002-5888-2304; Ramirez Garcia, Mateo/0000-0002-4564-3822; Shevchenko, Rostyslav/0000-0002-3236-4090; Mitselmakher, Guenakh/0000-0001-5745-3658; Pieri, Marco/0000-0003-3303-6301; Cassese, Antonio/0000-0003-3010-4516; Blumenfeld, Barry/0000-0003-1150-1735; Ricci-Tam, Francesca/0000-0001-9750-7702; Tonelli, Guido Emilio/0000-0003-2606-9156; Brigljevic, Vuko/0000-0001-5847-0062; Petrucciani, Giovanni/0000-0003-0889-4726; Bortignon, Pierluigi/0000-0002-5360-1454; Gershtein, Yuri/0000-0002-4871-5449; Duarte, Javier Mauricio/0000-0002-5076-7096; Goy Lopez, Silvia/0000-0001-6508-5090; Benitez, Jose Feliciano/0000-0002-2633-6712; Mnich, Joachim/0000-0001-7242-8426; Palladino, Vito/0000-0002-9786-9620; Csanad, Mate/0000-0002-3154-6925; Habibullah, Redwan/0000-0002-3161-8300; Garcia, Francisco/0000-0002-4023-7964; Soares, Mara/0000-0001-9676-6059; Bernardes, Cesar Augusto/0000-0001-5790-9563; Dewanjee, Ram Krishna/0000-0001-6645-6244; Schwandt, Joern/0000-0002-0052-597X; Tavernier, Stefaan/0000-0002-6792-9522; Sagir, Sinan/0000-0002-2614-5860; Starling, Elizabeth/0000-0002-4399-7213; Mundim, Luiz/0000-0001-9964-7805; Tosi, Nicolo/0000-0002-0474-0247; Ulrich, Ralf/0000-0002-2535-402X; Kole, Gouranga/0000-0002-3285-1497; Robert, Schoefbeck/0000-0002-2332-8784; YOON, INSEOK/0000-0002-3491-8026; Naimuddin, Md/0000-0003-4542-386X; Reis, Thomas/0000-0003-3703-6624; Vormwald, Benedikt/0000-0003-2607-7287; 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Garutti, Erika/0000-0003-0634-5539; Haddad, Yacine/0000-0003-4916-7752; Bodek, Arie/0000-0003-0409-0341; Grohsjean, Alexander/0000-0003-0748-8494; Tosi, Silvano/0000-0002-7275-9193; Staiano, Amedeo/0000-0003-1803-624X; Govoni, Pietro/0000-0002-0227-1301; Amendola, Chiara/0000-0002-4359-836X; ALCARAZ MAESTRE, JUAN/0000-0003-0914-7474; Alverson, George/0000-0001-6651-1178 BMBWF (Austria); FWF (Austria)Austrian Science Fund (FWF); FNRS (Belgium)Fonds de la Recherche Scientifique - FNRS; FWO (Belgium)FWO; CNPq (Brazil)National Council for Scientific and Technological Development (CNPq); CAPES (Brazil)CAPES; FAPERJ (Brazil)Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro (FAPERJ); FAPERGS (Brazil)Foundation for Research Support of the State of Rio Grande do Sul (FAPERGS); FAPESP (Brazil)Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP); MES (Bulgaria); CERN; CAS (China)Chinese Academy of Sciences; MoST (China)Ministry of Science and Technology, China; NSFC (China)National Natural Science Foundation of China (NSFC); COLCIENCIAS (Colombia)Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias; MSES (Croatia); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER (Estonia); ERC IUT (Estonia)Estonian Research Council; PUT (Estonia); ERDF (Estonia)European Union (EU); Academy of Finland (Finland)Academy of Finland; MEC (Finland); HIP (Finland); CEA (France)French Atomic Energy Commission; CNRS/IN2P3 (France)Centre National de la Recherche Scientifique (CNRS); BMBF (Germany)Federal Ministry of Education & Research (BMBF); DFG (Germany)German Research Foundation (DFG); HGF (Germany); GSRT (Greece)Greek Ministry of Development-GSRT; NKFIA (Hungary); DAE (India)Department of Atomic Energy (DAE); DST (India)Department of Science & Technology (India); IPM (Iran); SFI (Ireland)Science Foundation Ireland; INFN (Italy)Istituto Nazionale di Fisica Nucleare (INFN); MSIP (Republic of Korea); NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE (Malaysia); UM (Malaysia); BUAP (Mexico); CINVESTAV (Mexico); CONACYT (Mexico)Consejo Nacional de Ciencia y Tecnologia (CONACyT); LNS (Mexico); SEP (Mexico); UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE (Poland); NSC (Poland); FCT (Portugal)Portuguese Foundation for Science and Technology; JINR (Dubna); MON (Russia); RosAtom (Russia); RAS (Russia)Russian Academy of Sciences; RFBR (Russia)Russian Foundation for Basic Research (RFBR); NRC KI (Russia); MESTD (Serbia); SEIDI (Spain); CPAN (Spain); PCTI (Spain); FEDER (Spain)European Union (EU); MOSTR (Sri Lanka); MST (Taipei); ThEPCenter (Thailand); IPST (Thailand); STAR (Thailand); NSTDA (Thailand); TUBITAK (Turkey)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK); TAEK (Turkey)Ministry of Energy & Natural Resources - Turkey; NASU (Ukraine); STFC (United Kingdom)Science & Technology Facilities Council (STFC); DOE (USA)United States Department of Energy (DOE); NSF (USA)National Science Foundation (NSF) MOS (Montenegro); CEA and CNRS/IN2P3 (France); We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC and the CMS detector provided by the following funding agencies: BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER, ERC IUT, PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); NKFIA (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS, RFBR, and NRC KI (Russia); MESTD (Serbia); SEIDI, CPAN, PCTI, and FEDER (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter, IPST, STAR, and NSTDA (Thailand); TUBITAK and TAEK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (USA). Ultrarelativistic heavy ion collisions recreate in the laboratory the thermodynamical conditions prevailing in the early universe up to 10(-6) sec, thereby allowing the study of the quark-gluon plasma (QGP), a state of quantum chromodynamics (QCD) matter with deconfined partons. The top quark, the heaviest elementary particle known, is accessible in nucleus-nucleus collisions at the CERN LHC, and constitutes a novel probe of the QGP. Here, we report the first evidence for the production of top quarks in nucleus-nucleus collisions, using lead-lead collision data at a nucleon-nucleon center-of-mass energy of 5.02 TeV recorded by the CMS experiment. Two methods are used to measure the cross section for top quark pair production (sigma(t (t) over bar)) via the selection of charged leptons (electrons or muons) and bottom quarks. One method relies on the leptonic information alone, and the second one exploits, in addition, the presence of bottom quarks. The measured cross sections, sigma(t (t) over bar) = 2.54(-0.74)(+0.84) and 2.03(-0.64)(+0.71) mu b, respectively, are compatible with expectations from scaled proton-proton data and QCD predictions. PubMed: 33315428

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    https://doi.org/10.5167/uzh-19...
    Other literature type . 2020
    Data sources: Datacite
    Hal-Diderot
    Article . 2020
    Data sources: Hal-Diderot
    https://doi.org/10.48550/arxiv...
    Article . 2020
    License: CC BY
    Data sources: Datacite
    ETH Zürich Research Collection
    Article . 2020
    License: CC BY
    Data sources: Datacite
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