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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

BMC NEUROscience 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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ICTNET at Federated Web Search Track 2014 23

ICTNET at Federated Web Search Track 2014

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23rd Text REtrieval Conference, TREC 2014

作者： Guan, Feng Zhang, Shuiyuan Liu, Chunmei Yu, Xiaoming Liu, Yue Cheng, Xueqi Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China Key Laboratory of Web Data Science and Technology CAS China University of Chinese Academy of Sciences Beijing100190 China

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ICTNET at Microblog Track in TREC 2014 23

ICTNET at Microblog Track in TREC 2014

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23rd Text REtrieval Conference, TREC 2014

作者： Cui, Guoxin Shi, Fabin Liu, Xiaolei Hao, Xiaobo Xu, Xueke Liu, Yue Cheng, Xueqi Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China Key Laboratory of Web Data Science and Technology CAS 100190 China University of Chinese Academy of Sciences Beijing100190 China

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ICTNET at Context Suggestion Track TREC 2014 23

ICTNET at Context Suggestion Track TREC 2014

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23rd Text REtrieval Conference, TREC 2014

作者： Lu, Zihao Qiu, Zhijie Chang, Liang Liu, Bingyang Wu, Dayong Liu, Yue Cheng, Xueqi Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China Key Laboratory of Web Data Science and Technology CAS 100190 China University of Chinese Academy of Sciences Beijing100190 China

This year we did not use ClueWeb12 or ClueWeb12-B,while we solve this issue based on data we crawled from ***, we use external structured resource –Google Place API[1] to find all of the possible candidate places in the distance of 5 hours' drive. Secondly, we use Yandex[2] to find a description of each place because we get URL of the corresponding place. Then, we classifythe descriptions of all places. Finally, we ranked the pages based on users’ preferences. © 2014 23rd Text REtrieval Conference, TREC 2014 - Proceedings. All rights reserved.

关键词： Digital storage

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ICTNET at Session Track TREC2014 23

ICTNET at Session Track TREC2014

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23rd Text REtrieval Conference, TREC 2014

作者： Xue, Yuanhai Cui, Guoxin Yu, Xiaoming Liu, Yue Cheng, Xueqi Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China Key Laboratory of Web Data Science and Technology CAS 100190 China University of Chinese Academy of Sciences Beijing100190 China

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ICTNET at Web Track TREC2014 23

ICTNET at Web Track TREC2014

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23rd Text REtrieval Conference, TREC 2014

作者： Xue, Yuanhai Yu, Xiaoming Guan, Feng Li, Xipeng Du, Man Liu, Yue Cheng, Xueqi Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China Key Laboratory of Web Data Science and Technology CAS 100190 China University of Chinese Academy of Sciences Beijing100190 China

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OpenKN: An open knowledge computational engine for network big data

OpenKN: An open knowledge computational engine for network b...

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International Conference on Advances in Social network Analysis and Mining, ASONAM

作者： Yantao Jia Yuanzhuo Wang Xueqi Cheng Xiaolong Jin Jiafeng Guo CAS Key Laboratory of Network Data Science and Technology Chinese Academy of Sciences Beijing P. R. China

With the coming of the era of big data, it is most urgent to establish the knowledge computational engine for the purpose of discovering implicit and valuable knowledge from the huge, rapidly dynamic, and complex network data. In this paper, we first survey the mainstream knowledge computational engines from four aspects and point out their deficiency. To cover these shortages, we propose the open knowledge network (OpenKN), which is a self-adaptive and evolutionable knowledge computational engine for network big data. To the best of our knowledge, this is the first work of designing the end-to-end and holistic knowledge processing pipeline in regard with the network big data. Moreover, to capture the evolutionable computing capability of OpenKN, we present the evolutionable knowledge network for knowledge representation. A case study demonstrates the effectiveness of the evolutionable computing of OpenKN.

关键词： Knowledge based systems Knowledge engineering Big data Engines Syntactics Semantics data mining

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Social evolutionary games

Social evolutionary games

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International Conference on Game Theory for networks, GameNets

作者： Jianye Yu Yuanzhuo Wang Xiao!ong Jin Xueqi Cheng CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China

In this paper, we introduce a framework of social evolutionary games (SEG) for investigating the evolution of social networks. In a SEG, a coevolutionary mechanism is adopted by agents who aim to improve his short-term utility and long-term reputation. Two examples are presented to demonstrate SEG, prisoner's dilemma game for pairwise interaction and public goods game for group interaction. Numerical simulations are performed on the two examples with different parameter settings, and the results indicates that SEG can be used as a metaphor for investigating the evolution of social networks in some scenarios.

关键词： Microscopy

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THE PROPERTIES OF GRB 120923A AT A SPECTROSCOPIC REDSHIFT OF z ≈ 7.8

arXiv

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arXiv 2017年

作者： Tanvir, N.R. Laskar, T. Levan, A.J. Perley, D.A. Zabl, J. Fynbo, J.P.U. Rhoads, J. Cenko, S.B. Greiner, J. Wiersema, K. Hjorth, J. Cucchiara, A. Berger, E. Bremer, M.N. Cano, Z. Cobb, B.E. Covino, S. D’Elia, V. Fong, W. Fruchter, A.S. Goldoni, P. Hammer, F. Heintz, K.E. Jakobsson, P. Kann, D.A. Kaper, L. Klose, S. Knust, F. Krühler, T. Malesani, D. Misra, K. Nicuesa Guelbenzu, A. Pugliese, G. Sánchez-Ramírez, R. Schulze, S. Stanway, E.R. de Ugarte Postigo, A. Watson, D. Wijers, R.A.M.J. Xu, D. Department of Physics and Astronomy University of Leicester University Road LeicesterLE1 7RH United Kingdom National Radio Astronomy Observatory 520 Edgemont Road CharlottesvilleVA22903 United States Department of Astronomy University of California 501 Campbell Hall BerkeleyCA94720-3411 United States Department of Physics University of Warwick CoventryCV4 7AL United Kingdom Astrophysics Research Institute Liverpool John Moores University IC2 Liverpool Science Park 146 Brownlow Hill LiverpoolL3 5RF United Kingdom Dark Cosmology Centre Niels Bohr Institute Copenhagen University Juliane Maries Vej 30 Copenhagen Ø2100 Denmark School of Earth and Space Exploration Arizona State University TempeAZ85287 United States Astrophysics Science Division NASA Goddard Space Flight Center 8800 Greenbelt Road GreenbeltMD20771 United States Joint Space-Science Institute University of Maryland College ParkMD20742 United States Max-Planck-Institut für Extraterrestrische Physik Giessenbachstrasse GarchingD-85748 Germany Excellence Cluster Universe Technische Universität München Boltzmannstrasse 2 GarchingD-85748 Germany University of the Virgin Islands #2 John Brewers Bay St ThomasVI00802 United States Harvard-Smithsonian Center for Astrophysics 60 Garden Street CambridgeMA02138 United States H.H. Wills Physics Laboratory University of Bristol Tyndall Avenue BristolBS8 1TL United Kingdom Glorieta de la Astronomía s/n GranadaE-18008 Spain Department of Physics The George Washington University WashingtonDC20052 United States I-23807 Italy INAF-Osservatorio Astronomico di Roma Via Frascati 33 Monteporzio CatoneI-00040 Italy ASI-Science Data Centre Via del Politecnico snc RomeI-00133 Italy Steward Observatory University of Arizona 933 N. Cherry Avenue TucsonAZ85721 United States Space Telescope Science Institute 3700 San Martin Drive BaltimoreMD21218 United States APC Astroparticule et Cosmologie Universite Paris Diderot CNRS/IN2P3

Gamma-ray bursts (GRBs) are powerful probes of early stars and galaxies, during and potentially even before the era of reionization. Although the number of GRBs identified at z & 6 remains small, they provide a unique window on typical star-forming galaxies at that time, and thus are complementary to deep field observations. We report the identification of the optical drop-out afterglow of Swift GRB 120923A in near-infrared Gemini-North imaging, and derive a redshift of z = 7.84+0−0..0612 from VLT/X-shooter spectroscopy. At this redshift the peak 15-150 keV luminosity of the burst was 3.2 × 1052 erg s−1, and in fact the burst was close to the Swift/BAT detection threshold. The X-ray and near-infrared afterglow were also faint, and in this sense it was a rather typical long-duration GRB in terms of rest-frame luminosity. We present ground- and space-based follow-up observations spanning from X-ray to radio, and find that a standard external shock model with a constant-density circumburst environment with density, n ≈ 4×10−2 cm−3 gives a good fit to the data. The near-infrared light curve exhibits a sharp break at t ≈ 3.4 days in the observer frame, which if interpreted as being due to a jet corresponds to an opening angle of θjet ≈ 5 degrees. The beaming corrected γ-ray energy is then Eγ ≈ 2 × 1050 erg, while the beaming-corrected kinetic energy is lower, EK ≈ 1049 erg, suggesting that GRB 120923A was a comparatively low kinetic energy event. We discuss the implications of this event for our understanding of the high-redshift population of GRBs and their identification. Copyright © 2017, The Authors. All rights reserved.

关键词： Stars

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accretion in strong field gravity with eXTP

arXiv

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arXiv 2018年

作者： de Rosa, Alessandra Uttley, Phil Gou, Lijun Liu, Yuan Bambi, Cosimo Barret, Didier Belloni, Tomaso Berti, Emanuele Bianchi, Stefano Caiazzo, Ilaria casella, Piergiorgio Feroci, Marco Ferrari, Valeria Gualtieri, Leonardo Heyl, Jeremy Ingram, Adam Karas, Vladimir Lu, Fangjun Luo, Bin Matt, Giorgio Motta, Sara Neilsen, Joseph Pani, Paolo Santangelo, Andrea Shu, Xinwen Wang, Junfeng Wang, Jian-Min Xue, Yongquan Xu, Yupeng Yuan, Weimin Yuan, Yefei Zhang, Shuang-Nan Zhang, Shu Agudo, Ivan Amati, Lorenzo Andersson, Nils Baglio, Cristina Bakala, Pavel Baykal, Altan Bhattacharyya, Sudip Bombaci, Ignazio Bucciantini, Niccoló Capitanio, Fiamma Ciolfi, Riccardo Cui, Wei K. D’Ammando, Filippo Dauser, Thomas Santo, Melania Del de Marco, Barbara Salvo, Tiziana Di Done, Chris Dovčiak, Michal Fabian, Andrew C. Falanga, Maurizio Gambino, Angelo Francesco Gendre, Bruce Grinberg, Victoria Heger, Alexander Homan, Jeroen Iaria, Rosario Jiang, Jiachen Jin, Chichuan Koerding, Elmar Linares, Manu Liu, Zhu Maccarone, Thomas J. Malzac, Julien Manousakis, Antonios Marin, Frédéric Marinucci, Andrea Mehdipour, Missagh Méndez, Mariano Migliari, Simone Miller, Cole Miniutti, Giovanni Nardini, Emanuele O’Brien, Paul T. Osborne, Julian P. Petrucci, Pierre Olivier Possenti, Andrea Riggio, Alessandro Rodriguez, Jerome Sanna, Andrea Shao, Lijing Sobolewska, Malgosia Sramkova, Eva Stevens, Abigail L. Stiele, Holger Stratta, Giulia Stuchlik, Zdenek Svoboda, Jiri Tamburini, Fabrizio Tauris, Thomas M. Tombesi, Francesco Torok, Gabriel Urbanec, Martin Vincent, Frederic Wu, Qingwen Yuan, Feng in’t Zand, Jean J.M. Zdziarski, Andrzej A. Zhou, Xinlin INAF – Istituto di Astrofisica e Planetologie Spaziali Via Fosso del Cavaliere Rome00133 Italy Anton Pannekoek Institute for Astronomy University of Amsterdam Science Park 904 Amsterdam1098 XH Netherlands National Astronomical Observatories Chinese Academy of Sciences Beijing100012 China Institute of High Energy Physics Chinese Academy of Science PO Box 918-3 Beijing100049 China Center for Field Theory and Particle Physics Department of Physics Fudan University 220 Handan Road Shanghai200433 China IRAP Université de Toulouse CNRS UPS CNES Toulouse France INAF – Osservatorio Astronomico di Brera via E. Bianchi 46 Merate23807 Italy Department of Physics and Astronomy University of Mississippi UniversityMS38677 United States Dipartimento di Matematica e Fisica Universitá degli studi Roma Tre Via della Vasca Navale 84 Rome00146 Italy University of British Columbia VancouverBCV6T 1Z1 Canada INAF – Osservatorio Astronomico di Roma Via Frascati 33 Monte Porzio Catone00040 Italy INFN – Roma 2 c/o Dipartimento di Fisica II Universitá di Roma "Tor Vergata" Via della Ricerca Scientifica 1 RomaI-00133 Italy Dipartimento di Fisica Universitá degli Studi di Roma "La Sapienza" Sezione INFN Roma1 Piazzale A. Moro 5 Rome00185 Italy Department of Physics University of Oxford Clarendon Laboratory Parks Road OxfordOX1 3PU United Kingdom Astronomical Institute Academy of Sciences Bovcní II 1401 Prague14131 Czech Republic School of Astronomy and Space Science Nanjing University Nanjing210093 China MIT Kavli Institute for Astrophysics and Space Research 77 Massachusetts Ave CambridgeMA02139 United States Department of Physics Anhui Normal University Wuhu Anhui241000 China Department of Astronomy Institute of Theoretical Physics and Astrophysics Xiamen University Xiamen361005 China CAS Key Laboratory for Research in Galaxies and Cosmology Department of Astronomy University of Science and Technology of China Hefei230026 China Glorieta de l

In this paper we describe the potential of the enhanced X-ray Timing and Polarimetry (eXTP) mission for studies related to accretion flows in the strong field gravity regime around both stellar-mass and supermassive black-holes. eXTP has the unique capability of using advanced "spectral-timing-polarimetry" techniques to analyze the rapid variations with three orthogonal diagnostics of the flow and its geometry, yielding unprecedented insight into the inner accreting regions, the effects of strong field gravity on the material within them and the powerful outflows which are driven by the accretion process. Copyright © 2018, The Authors. All rights reserved.

关键词： Polarimeters

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