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Erratum to: Search for dark matter produced in association with a leptonically decaying Z boson in proton–proton collisions at s = 13 Te

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The European Physical Journal C 2021年第4期81卷 1-16页

作者： A. M. Sirunyan A. Tumasyan W. Adam T. Bergauer M. Dragicevic J. Erö A. Escalante Del Valle R. Frühwirth M. Jeitler N. Krammer L. Lechner D. Liko T. Madlener I. Mikulec F. M. Pitters N. Rad J. Schieck R. Schöfbeck M. Spanring S. Templ W. Waltenberger C.-E. Wulz M. Zarucki V. Chekhovsky A. Litomin V. Makarenko J. Suarez Gonzalez M. R. Darwish E. A. De Wolf D. Di Croce X. Janssen T. Kello A. Lelek M. Pieters H. Rejeb Sfar H. Van Haevermaet P. Van Mechelen S. Van Putte N. Van Remortel F. Blekman E. S. Bols S. S. Chhibra J. D’Hondt J. De Clercq D. Lontkovskyi S. Lowette I. Marchesini S. Moortgat A. Morton Q. Python S. Tavernier W. Van Doninck P. Van Mulders D. Beghin B. Bilin B. Clerbaux G. De Lentdecker B. Dorney L. Favart A. Grebenyuk A. K. Kalsi I. Makarenko L. Moureaux L. Pétré A. Popov N. Postiau E. Starling L. Thomas C. Vander Velde P. Vanlaer D. Vannerom L. Wezenbeek T. Cornelis D. Dobur M. Gruchala I. Khvastunov M. Niedziela C. Roskas K. Skovpen M. Tytgat W. Verbeke B. Vermassen M. Vit G. Bruno F. Bury C. Caputo P. David C. Delaere M. Delcourt I. S. Donertas A. Giammanco V. Lemaitre K. Mondal J. Prisciandaro A. Taliercio M. Teklishyn P. Vischia S. Wuyckens J. Zobec G. A. Alves C. Hensel A. Moraes W. L. Aldá Júnior E. Belchior Batista Das Chagas H. BRANDAO MALBOUISSON W. Carvalho J. Chinellato E. Coelho E. M. Da Costa G. G. Da Silveira D. De Jesus Damiao S. Fonseca De Souza J. Martins D. Matos Figueiredo M. Medina Jaime C. Mora Herrera L. Mundim H. Nogima P. Rebello Teles L. J. Sanchez Rosas A. Santoro S. M. Silva Do Amaral A. Sznajder M. Thiel F. Torres Da Silva De Araujo A. Vilela Pereira C. A. Bernardes L. Calligaris T. R. Fernandez Perez Tomei E. M. Gregores D. S. Lemos P. G. Mercadante S. F. Novaes Sandra S. Padula A. Aleksandrov G. Antchev I. Atanasov R. Hadjiiska P. Iaydjiev M. Misheva M. Rodozov M. Shopova G. Sultanov M. Bonchev A. Dimitrov T. Ivanov L. Litov B. Pavlov P. Petkov A. Petrov W. Fang Q. Guo H. Wang L. Yuan M. Ahmad Z. Hu Y. Wang E. Chapon G. M. Chen H. S. Chen M. Chen A. Kapoor D. Leggat H. Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Vienna Austria Vienna University of Technology Vienna Austria Institute for Nuclear Problems Minsk Belarus Universiteit Antwerpen Antwerpen Belgium Department of Basic and Applied Sciences Faculty of Engineering Arab Academy for Science Technology and Maritime Transport Alexandria Egypt Université Libre de Bruxelles Bruxelles Belgium Vrije Universiteit Brussel Brussel Belgium Ghent University Ghent Belgium IRFU CEA Université Paris-Saclay Gif-sur-Yvette France Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual de Campinas Campinas Brazil Federal University of Rio Grande do Sul Porto Alegre Brazil UFMS Nova Andradina Brazil Universidade Federal de Pelotas Pelotas Brazil Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Beihang University Beijing China Department of Physics Tsinghua University Beijing China Institute of High Energy Physics Beijing China University of Chinese Academy of Sciences Beijing China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Sun Yat-Sen University Guangzhou China Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) - Fudan University Shanghai China Zhejiang University Hangzhou China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia Institute for Theoretical and Experimental Physics named by A.I. Alikhanov of NRC ‘K

A Correction to this paper has been published: https://***/10.1140/epjc/s10052-020-08739-5

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Fuzzy signature approach to clarification of subjectivity in assessment of metacognitive skills transfer

Fuzzy signature approach to clarification of subjectivity in...

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IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)

作者： Issarapong Khuankrue Chanen Mankong Yasuhiro Tsujimura Electronics Information and Media Engineering Major Nippon Institute of Technology Saitama Japan School of Architecture and Design King Mongkut's University of Technology Thonburi Bangkok Thailand Department of Computer and Information Engineering Nippon Institute of Technology Saitama Japan

Transfer of metacognitive skill can be assessed by experts with the high degree of subjectivity. The gap between the instructor's “process” and the learners' “counter-process” must be identified in order to correct and improve misconception and ineffectual transfer. Fuzzy Signature Approach help to clarify that there are two stages of assessments: value representation and numerical representation. In terms of numerical representation, we propose a method to solve the problem the practical assessment problems, especially the subjectivity, multi-dimensional criteria, and incomplete data, depending on the different context in each student. This paper also attempts to define the linguistic criteria, which suitable for theoretical framework of metacognitive transfer. The input variables will be scored by human opinion, as the subjectivity. In terms of fuzzy inference, the weighted generalized mean is employed to operate the aggregation functions. In this model, certain theoretical criteria become weighting factors when the act of assessment in classroom regard the criteria as the factor. Adjustment of the human discrepancy is probably normal but must be realized. The pattern of learning may not emerge from the order of the competences but a proportional weight of the driving factors.

关键词： Reflection Education Object recognition Pragmatics Mathematical model Input variables Fuzzy sets

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Smart community load matching using stochastic demand modeling and historical production data 16

Smart community load matching using stochastic demand modeli...

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16th International Conference on Environment and Electrical Engineering, EEEIC 2016

作者： Palacios-Garcia, Emilio J. Moreno-Munoz, Antonio Santiago, Isabel Moreno-Garcia, Isabel M. Milanes-Montero, Maria I. Department of Computer Architecture Electronics and Electronic Technology University of Cordoba Cordoba Spain University of Extremadura Badajoz Spain

ISBN: (纸本)9781509023196

The current upward trend of the residential energy demand and the high penetration of new renewable resources have changed the conception of the electrical grid. The centralized distribution scheme is currently moving forward to a distributed layout where the paradigm of Smart Energy Communities has emerged, meaning a set of households that share a Microgrid, have tied renewable production and can be either connected or disconnected from the main grid. In this context, due to the reduced dispatchability of the renewable generation, the planning of the installed PV power as well as the storage capacity is the cornerstone in order to achieve a high degree of both self-generation and self-consumption. However, the lack of detailed hourly or sub-hourly data makes it difficult. Therefore, this paper aims to present a high-resolution simulation method for evaluating the PV power and storage capacity requirements for a Smart Community based on a stochastic demand model and real PV production data, so the interplay between consumption and generation can be better understood. © 2016 IEEE.

关键词： Solar power generation

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Evidence for X(3872) in Pb-Pb Collisions and Studies of its Prompt Production at sNN=5.02 TeV

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Physical Review Letters 2022年第3期128卷 032001-032001页

作者： A. M. Sirunyan A. Tumasyan W. Adam F. Ambrogi T. Bergauer M. Dragicevic J. Erö A. Escalante Del Valle M. Flechl R. Frühwirth M. Jeitler N. Krammer I. Krätschmer D. Liko T. Madlener I. Mikulec N. Rad J. Schieck R. Schöfbeck M. Spanring W. Waltenberger C.-E. Wulz M. Zarucki V. Drugakov V. Mossolov J. Suarez Gonzalez M. R. Darwish E. A. De Wolf D. Di Croce X. Janssen T. Kello A. Lelek M. Pieters H. Rejeb Sfar H. Van Haevermaet P. Van Mechelen S. Van Putte N. Van Remortel F. Blekman E. S. Bols S. S. Chhibra J. D’Hondt J. De Clercq D. Lontkovskyi S. Lowette I. Marchesini S. Moortgat Q. Python S. Tavernier W. Van Doninck P. Van Mulders D. Beghin B. Bilin B. Clerbaux G. De Lentdecker H. Delannoy B. Dorney L. Favart A. Grebenyuk A. K. Kalsi L. Moureaux A. Popov N. Postiau E. Starling L. Thomas C. Vander Velde P. Vanlaer D. Vannerom T. Cornelis D. Dobur I. Khvastunov M. Niedziela C. Roskas K. Skovpen M. Tytgat W. Verbeke B. Vermassen M. Vit G. Bruno C. Caputo P. David C. Delaere M. Delcourt A. Giammanco V. Lemaitre J. Prisciandaro A. Saggio P. Vischia J. Zobec G. A. Alves G. Correia Silva C. Hensel A. Moraes E. Belchior Batista Das Chagas W. Carvalho J. Chinellato E. Coelho E. M. Da Costa G. G. Da Silveira D. De Jesus Damiao C. De Oliveira Martins S. Fonseca De Souza H. Malbouisson J. Martins D. Matos Figueiredo M. Medina Jaime M. Melo De Almeida C. Mora Herrera L. Mundim H. Nogima W. L. Prado Da Silva P. Rebello Teles L. J. Sanchez Rosas A. Santoro A. Sznajder M. Thiel E. J. Tonelli Manganote F. Torres Da Silva De Araujo A. Vilela Pereira C. A. Bernardes L. Calligaris T. R. Fernandez Perez Tomei E. M. Gregores D. S. Lemos P. G. Mercadante S. F. Novaes Sandra S. Padula A. Aleksandrov G. Antchev R. Hadjiiska P. Iaydjiev M. Misheva M. Rodozov M. Shopova G. Sultanov M. Bonchev A. Dimitrov T. Ivanov L. Litov B. Pavlov P. Petkov A. Petrov W. Fang X. Gao L. Yuan M. Ahmad Z. Hu Y. Wang G. M. Chen H. S. Chen M. Chen C. H. Jiang D. Leggat H. Liao Z. Liu A. Spiezia J. Tao E. Yazgan H. Zhang S. Zhang J. Zhao A. Agapitos Y. Ban G. Ch Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Wien Austria Institute for Nuclear Problems Minsk Belarus Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium Ghent University Ghent Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual Paulista São Paulo Brazil Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Beihang University Beijing China National Centre for Physics Quaid-I-Azam University Islamabad Pakistan Department of Physics Tsinghua University Beijing China University of Virginia Charlottesville Virginia USA Institute of High Energy Physics Beijing China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China The University of Kansas Lawrence Kansas USA Zhejiang University Hangzhou China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of Cyprus Nicosia Cyprus Charles University Prague Czech Republic Escuela Politecnica Nacional Quito Ecuador Universidad San Francisco de Quito Quito Ecuador Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High Energy Physics Cairo Egypt National Institute of Chemical Physics and Biophysics Tallinn Estonia Department of Physics University of Helsinki Helsinki Finland Helsinki Institute of Physics Helsinki Finland Lappeenranta University of Technology Lappeenranta Finland IRFU CEA Un

The first evidence for X(3872) production in relativistic heavy ion collisions is reported. The X(3872) production is studied in lead-lead (Pb-Pb) collisions at a center-of-mass energy of sNN=5.02 TeV per nucleon pair, using the decay chain X(3872)→J/ψπ+π−→μ+μ−π+π−. The data were recorded with the CMS detector in 2018 and correspond to an integrated luminosity of 1.7 nb−1. The measurement is performed in the rapidity and transverse momentum ranges |y|<1.6 and 15

关键词： Particle & resonance production Quark-gluon plasma Relativistic heavy-ion collisions Hadron colliders

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Inclusive nonresonant multilepton probes of new phenomena at s=13 TeV

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Physical Review D 2022年第11期105卷 112007-112007页

作者： A. Tumasyan W. Adam J. W. Andrejkovic T. Bergauer S. Chatterjee K. Damanakis M. Dragicevic A. Escalante Del Valle R. Frühwirth M. Jeitler N. Krammer L. Lechner D. Liko I. Mikulec P. Paulitsch F. M. Pitters J. Schieck R. Schöfbeck D. Schwarz S. Templ W. Waltenberger C.-E. Wulz V. Chekhovsky A. Litomin V. Makarenko M. R. Darwish E. A. De Wolf T. Janssen T. Kello A. Lelek H. Rejeb Sfar P. Van Mechelen S. Van Putte N. Van Remortel F. Blekman E. S. Bols J. D’Hondt M. Delcourt H. El Faham S. Lowette S. Moortgat A. Morton D. Müller A. R. Sahasransu S. Tavernier W. Van Doninck D. Vannerom D. Beghin B. Bilin B. Clerbaux G. De Lentdecker L. Favart A. K. Kalsi K. Lee M. Mahdavikhorrami I. Makarenko L. Moureaux S. Paredes L. Pétré A. Popov N. Postiau E. Starling L. Thomas M. Vanden Bemden C. Vander Velde P. Vanlaer T. Cornelis D. Dobur J. Knolle L. Lambrecht G. Mestdach M. Niedziela C. Rendón C. Roskas A. Samalan K. Skovpen M. Tytgat B. Vermassen L. Wezenbeek A. Benecke A. Bethani G. Bruno F. Bury C. Caputo P. David C. Delaere I. S. Donertas A. Giammanco K. Jaffel Sa. Jain V. Lemaitre K. Mondal J. Prisciandaro A. Taliercio M. Teklishyn T. T. Tran P. Vischia S. Wertz G. A. Alves C. Hensel A. Moraes P. Rebello Teles W. L. Aldá Júnior M. Alves Gallo Pereira M. Barroso Ferreira Filho H. Brandao Malbouisson W. Carvalho J. Chinellato E. M. Da Costa G. G. Da Silveira D. De Jesus Damiao V. Dos Santos Sousa S. Fonseca De Souza C. Mora Herrera K. Mota Amarilo L. Mundim H. Nogima A. Santoro S. M. Silva Do Amaral A. Sznajder M. Thiel F. Torres Da Silva De Araujo A. Vilela Pereira C. A. Bernardes L. Calligaris T. R. Fernandez Perez Tomei E. M. Gregores D. S. Lemos P. G. Mercadante S. F. Novaes Sandra S. Padula A. Aleksandrov G. Antchev R. Hadjiiska P. Iaydjiev M. Misheva M. Rodozov M. Shopova G. Sultanov A. Dimitrov T. Ivanov L. Litov B. Pavlov P. Petkov A. Petrov T. Cheng T. Javaid M. Mittal L. Yuan M. Ahmad G. Bauer C. Dozen Z. Hu J. Martins Y. Wang K. Yi E. Chapon G. M. Chen H. S. Chen M. Chen F. Iemmi A. Kapoor D. Leggat H. Liao Z.-A Yerevan Physics Institute Yerevan Armenia. Institut für Hochenergiephysik Vienna Austria. Institute for Nuclear Problems Minsk Belarus. Universiteit Antwerpen Antwerpen Belgium. Vrije Universiteit Brussel Brussel Belgium. Université Libre de Bruxelles Bruxelles Belgium. Korea University Seoul Korea. Ghent University Ghent Belgium. Université Catholique de Louvain Louvain-la-Neuve Belgium. Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil. Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil. Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil. Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria. University of Sofia Sofia Bulgaria. Beihang University Beijing China. Department of Physics Tsinghua University Beijing China. Institute of High Energy Physics Beijing China. Massachusetts Institute of Technology Cambridge Massachusetts USA. State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China. Sun Yat-Sen University Guangzhou China. Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE)—Fudan University Shanghai China. Rice University Houston Texas USA. Zhejiang University Hangzhou China Zhejiang China. Universidad de Los Andes Bogota Colombia. Universidad de Antioquia Medellin Colombia. University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia. University of Split Faculty of Science Split Croatia. Institute Rudjer Boskovic Zagreb Croatia. University of Cyprus Nicosia Cyprus. Charles University Prague Czech Republic. Escuela Politecnica Nacional Quito Ecuador. Universidad San Francisco de Quito Quito Ecuador. Academy of Scientific Research and Technology of the Arab Republic of Egypt. Egyptian Network of High Energy Physics Cairo Egypt. Center for High Energy Physics (CHEP-FU) Fayoum University El-Fayoum Egypt. National Insti

An inclusive search for nonresonant signatures of beyond the standard model (SM) phenomena in events with three or more charged leptons, including hadronically decaying τ leptons, is presented. The analysis is based on a data sample corresponding to an integrated luminosity of 138 fb−1 of proton-proton collisions at s=13 TeV, collected by the CMS experiment at the LHC in 2016–2018. Events are categorized based on the lepton and b-tagged jet multiplicities and various kinematic variables. Three scenarios of physics beyond the SM are probed, and signal-specific boosted decision trees are used for enhancing sensitivity. No significant deviations from the background expectations are observed. Lower limits are set at 95% confidence level on the mass of type-III seesaw heavy fermions in the range 845–1065 GeV for various decay branching fraction combinations to SM leptons. Doublet and singlet vectorlike τ lepton extensions of the SM are excluded for masses below 1045 GeV and in the mass range 125–150 GeV, respectively. Scalar leptoquarks decaying exclusively to a top quark and a lepton are excluded below 1.12–1.42 TeV, depending on the lepton flavor. For the type-III seesaw as well as the vectorlike doublet model, these constraints are the most stringent to date. For the vectorlike singlet model, these are the first constraints from the LHC experiments. Detailed results are also presented to facilitate alternative theoretical interpretations.

关键词： Hypothetical fermions Leptoquarks Tau leptons Hadron colliders

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Server consolidation for Internet applications in virtualized data centers

Server consolidation for Internet applications in virtualize...

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24th High Performance Computing Symposium, HPC 2016, Part of the 2016 Spring Simulation Multi-Conference, SpringSim 2016

作者： Wang, Bo Song, Ying Sun, Yuzhong Liu, Jun Department of Computer Science and Technology Xi'an Jiaotong University Xi'an710049 China SKL Computer Architecture ICT CAS Beijing100190 China SPKLSTN Lab Department of Computer Science and Technology Xi'an Jiaotong University Xi'an710049 China

ISBN: (纸本)9781510824256

Server consolidation based on virtualization technology simplifies system administration and improves energy efficiency by improving resource utilizations and reducing the physical machine (PM) number in contemporary service-oriented data centers. The elasticity of Internet applications changes the consolidation technologies from addressing virtual machines (VMs) to PMs mapping schemes which must know the VMs statuses, i.e. the number of VMs and the profiling data of each VM, into providing the application-to-VM-to-PM mapping. In this paper, we study on the consolidation of multiple Internet applications, minimizing the number of PMs with required performance. We first model the consolidation providing the application-to-VM-to-PM mapping to minimize the number of PMs as an integer linear programming problem, and then present a heuristic algorithm to solve the problem in polynomial time. Extensive experimental results show that our heuristic algorithm consumes less than 4.3% more resources than the optimal amounts with few overheads. Existing consolidation technologies using the input of the VM statuses output by our heuristic algorithm consume 1.06% more PMs. © 2016 Society for Modeling & Simulation International (SCS).

关键词： Elasticity

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A novel approach to security enhancement of chaotic DSSS systems 6

A novel approach to security enhancement of chaotic DSSS sys...

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6th IEEE International Conference on Communications and Electronics, IEEE ICCE 2016

作者： Quyen, Nguyen Xuan Nguyen, Chuyen T. Barlet-Ros, Pere Dojen, Reiner School of Electronics and Telecommunications Hanoi University of Science and Technology Viet Nam Department of Computer Architecture UPC BarcelonaTech Spain Department of Electronic and Computer Engineering University of Limerick Ireland

ISBN: (纸本)9781509019311

In this paper, we propose a novel approach to the enhancement of physical layer security for chaotic direct-sequence spread-spectrum (DSSS) communication systems. The main idea behind our proposal is to vary the symbol period according to the behavior of the chaotic spreading sequence. As a result, the symbol period and the spreading sequence vary chaotically at the same time. This simultaneous variation aims at protecting DSSS-based communication systems from the blind estimation attacks in the detection of the symbol period. Discrete-Time models for spreading and despreading schemes are presented and analyzed. Multiple access performance of the proposed technique in the presence of additional white Gaussian noise (AWGN) is determined by computer simulations. The increase in security at the physical layer is also evaluated by numerical results. Obtained results show that our proposed technique can protect the system against attacks based on the detection of the symbol period, even if the intruder has full information on the used chaotic sequence. © 2016 IEEE.

关键词： Gaussian noise (electronic)

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Searches for neutrinos in the direction of radio-bright blazars with the ANTARES telescope

arXiv

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arXiv 2023年

作者： Albert, A. Alves, S. André, M. Ardid, M. Ardid, S. Aubert, J.-J. Aublin, J. Baret, B. Basa, S. Becherini, Y. Belhorma, B. Bendahman, M. Benfenati, F. Bertin, V. Biagi, S. Bissinger, M. Boumaaza, J. Bouta, M. Bouwhuis, M.C. Branzaş, H. Bruijn, R. Brunner, J. Busto, J. Caiffi, B. Calvo, D. Campion, S. Capone, A. Caramete, L. Carenini, F. Carr, J. Carretero, V. Celli, S. Cerisy, L. Chabab, M. Moursli, R. Cherkaoui El Chiarusi, T. Circella, M. Coelho, J.A.B. Coleiro, A. Coniglione, R. Coyle, P. Creusot, A. Cruz, A.S.M. Díaz, A.F. De Martino, B. Distefano, C. Di Palma, I. Domi, A. Donzaud, C. Dornic, D. Drouhin, D. Eberl, T. van Eeden, T. van Eijk, D. Hedri, S. El Khayati, N. El Enzenhöfer, A. Fermani, P. Ferrara, G. Filippini, F. Fusco, L. Gagliardini, S. García, J. Oliver, C. Gatius Gay, P. Geißelbrecht, N. Glotin, H. Gozzini, R. Ruiz, R. Gracia Graf, K. Guidi, C. Haegel, L. Hallmann, S. van Haren, H. Heijboer, A.J. Hello, Y. Hernández-Rey, J.J. Hößl, J. Hofestädt, J. Huang, F. Illuminati, G. James, C.W. Jisse-Jung, B. de Jong, M. de Jong, P. Kadler, M. Kalekin, O. Katz, U. Kouchner, A. Kreykenbohm, I. Kulikovskiy, V. Lahmann, R. Lamoureux, M. Lazo, A. Lefèvre, D. Leonora, E. Levi, G. Le Stum, S. Lopez-Coto, D. Loucatos, S. Maderer, L. Manczak, J. Marcelin, M. Margiotta, A. Marinelli, A. Martínez-Mora, J.A. Migliozzi, P. Moussa, A. Muller, R. Navas, S. Nezri, E. Fearraigh, B.Ó. Oukacha, E. Paun, A. Pavalaş, G.E. Pena-Martínez, S. Perrin-Terrin, M. Pestel, V. Piattelli, P. Poirè, C. Popa, V. Pradier, T. Randazzo, N. Real, D. Reck, S. Riccobene, G. Romanov, A. Sánchez-Losa, A. Saina, A. Greus, F. Salesa Samtleben, D.F.E. Sanguineti, M. Sapienza, P. Schnabel, J. Schumann, J. Schüssler, F. Seneca, J. Spurio, M. Stolarczyk, Th. Taiuti, M. Tayalati, Y. Tingay, S.J. Vallage, B. Vannoye, G. Van Elewyck, V. Viola, S. Vivolo, D. Wilms, J. Zavatarelli, S. Zegarelli, A. Zornoza, J.D. Zúniga, J. Kovalev, Y.A. Kovalev, Y.Y. Plavin, A.V. Pushkarev, A.B. Troitsky, S.V. Hovatta, T. Kiehlmann, S. Liodakis, I. Pavlidou, V. Readhead, A Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France Université de Haute Alsace MulhouseF-68100 France c/ Catedrático José Beltrán Paterna Valencia2 E-46980 Spain Technical University of Catalonia Laboratory of Applied Bioacoustics Rambla Exposició Vilanova i la Geltrú Barcelona08800 Spain Universitat Politècnica de València C/ Paranimf 1 Gandia46730 Spain Aix Marseille Univ CNRS IN2P3 CPPM Marseille France Universite Paris Cite CNRS Astroparticule et Cosmologie ParisF-75013 France Aix Marseille Univ CNRS CNES LAM Marseille France National Center for Energy Sciences and Nuclear Techniques B.P.1382 R. P. Rabat10001 Morocco Universit Mohammed V in Rabat Facult of Sciences 4 av Ibn Battouta B P 1014 R P 10000 Morocco INFN Sezione di Bologna Viale Berti-Pichat 6/2 Bologna40127 Italy Dipartimento di Fisica e Astronomia dell’Università di Bologna Viale Berti-Pichat 6/2 Bologna40127 Italy Via S. Sofia 62 Catania95123 Italy Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Centre for Astroparticle Physics Erwin-Rommel-Str. 1 Erlangen91058 Germany University Mohammed I Laboratory of Physics of Matter and Radiations B.P.717 Oujda6000 Morocco Nikhef Science Park Amsterdam Netherlands Institute of Space Science Magurele BucharestRO-077125 Romania Universiteit van Amsterdam Instituut voor Hoge-Energie Fysica Science Park 105 Amsterdam1098 XG Netherlands INFN - Sezione di Genova Via Dodecaneso 33 Genova16146 Italy INFN - Sezione di Roma P.le Aldo Moro 2 Roma00185 Italy Dipartimento di Fisica dell’Università La Sapienza P.le Aldo Moro 2 Roma00185 Italy LPHEA Faculty of Science - Semlali Cadi Ayyad University MarrakechP.O.B. 2390 Morocco INFN - Sezione di Bari Via E. Orabona 4 Bari70126 Italy International Centre for Radio Astronomy Research - Curtin University BentleyWA6102 Australia Department of Computer Architecture and Technology CITIC University of Granada Granada18071 Spain Université

Active galaxies, especially blazars, are among the most promising neutrino source candidates. To date, ANTARES searches for these objects considered GeV-TeV γ-ray bright blazars. Here, a statistically complete radio-bright blazar sample is used as the target for searches of origins of neutrinos collected by the ANTARES neutrino telescope over 13 years of operation. The hypothesis of a neutrino-blazar directional correlation is tested by pair counting and by a complementary likelihood-based approach. The resulting post-trial p-value is 3.0% (2.2σ in the two-sided convention), possibly indicating a correlation. Additionally, a time-dependent analysis is performed to search for temporal clustering of neutrino candidates as a mean of detecting neutrino flares in blazars. None of the investigated sources alone reaches a significant flare detection level. However, the presence of 18 sources with a pre-trial significance above 3σ indicates a p = 1.4% (2.5σ in the two-sided convention) detection of a time-variable neutrino flux. An a posteriori investigation reveals an intriguing temporal coincidence of neutrino, radio, and γ-ray flares of the J0242+1101 blazar at a p = 0.5% (2.9σ in the two-sided convention) level. Altogether, the results presented here suggest a possible connection of neutrino candidates detected by the ANTARES telescope with radio-bright blazars. Copyright © 2023, The Authors. All rights reserved.

关键词： Telescopes

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Xylem Vessels Segmentation Through a Deep Learning Approach: a First Look

Xylem Vessels Segmentation Through a Deep Learning Approach:...

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International Work Conference on Bio-inspired Intelligence (IWOBI)

作者： Angel Garcia-Pedrero Ana García-Cervigón Cristina Caetano Saúl Calderón-Ramírez Jose M. Olano Consuelo Gonzalo-Martín Mario Lillo-Saavedra Miguel García-Hidalgo EiFAB-iUFOR. Campus Duques de Soria. Universidad de Valladolid Soria Spain Departamento de Biología Universidad de Cádiz Puerto Real Spain Instituto Tecnológico de Costa Rica. PAttern Recognition and MAchine Learning Group Cartago Costa Rica Department of Computer Architecture and Technology Universidad Politécnica de Madrid Madrid Spain Faculty of Agricultural Engineering University of Concepción Chillán Chile

Xylem is a vascular tissue that conveys water and dissolved minerals from the roots to the rest of the plant and also provides physical support. The most important cells present in xylem are called vessels. These cells are arranged to form long pipes that carry water through the tree. The identification, counting and subsequent characterization of xylem vessels is essential for monitoring tree health and its relationship with climatic conditions. Although automatic and semi-automatic image processing tools are available to analyze the structure of xylem at the cellular level, they usually require the supervision of an expert to obtain optimal segmentation, making it a highly time-consuming process. To overcome this limitation, a Convolutional Neural Network model was used to process digital images of 23 branch sections in order to segment the xylem vessels. The obtained results were compared with other two classical methods, Otsu's thresholding method, and an active contour method known as Chan-Vese segmentation algorithm. The obtained results show the potential of convolutional neural networks to overcome aspects such as non-homogeneous illumination of images, where conventional methods tend to obtain unsatisfactory results.

关键词： Image segmentation Vegetation Convolution Electronic mail Machine learning Tools Convolutional neural networks

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Corrigendum to ‘Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling’ [Urban Climate 28 (2019) 100459]

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Urban Climate 2019年 30卷

作者： Jason Ching Dan Aliaga Gerald Mills Valery Masson Linda See Marina Neophytou Ariane Middel Alexander Baklanov Chao Ren Ed Ng Jimmy Fung Michael Wong Yuan Huang Alberto Martilli Oscar Brousse Iain Stewart Xiaowei Zhang Aly Shehata Dev Niyogi Institute for the EnvironmentUNC at Chapel HillNC United States Department of Computer Sciences Purdue UW Lafayette IN United States School of Geography University College of Dublin Dublin Ireland Meteo France Toulouse France IIASA Laxemburg Austria Civil and Environmental Engineering U of Cyprus Nicosia Cyprus Arizona State U Tempe AZ United States World Meteorology Office Geneva Switzerland Hong Kong U Hong Kong Department of Architecture CUHK Hong Kong Hong Kong Science and Technology U Hong Kong Department of Architecture SW Jiatong U Chengdu China CIEMAT Madrid ES Spain Dept Earth Environmental Science KU Leuven Leuven Belgium University of Toronto Canada Department of Computer Sciences Purdue U W. Lafayette IN United States DEAPS Purdue U. West Lafayette Indiana United States

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