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2nd International Conference on Advances in Physical sciences and Materials 2021, ICAPSM 2021

作者： van On, Vo Dang, Nguyen Hai Group of Computational Physics and Simulation of Advanced Materials Institute of Applied Technology Thu Dau Mot University Viet Nam Department of Physics Basic Science Faculty Nam Can Tho University Can Tho city Viet Nam

In this paper, we present the cosmic inflation scenario in some viable models of the f(R) modified gravity of polynomial- exponential form. Results show that the magnitude of the parameter ß in these viable models is at the order of 5.67 *10-76 and the time of inflation is, at the order of 4.6 *10-35 s. © Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.

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Cosmic inflation in some viable modified models of f(R) gravity of polynomial-exponential form

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Journal of Physics: Conference Series 2021年第1期2070卷

作者： Vo Van On Nguyen Hai Dang Group of Computational Physics and Simulation of Advanced Materials – Institute of Applied Technology – Thu Dau Mot University Department of Physics Basic Science Faculty Nam Can Tho University Can Tho city Vietnam

In this paper, we present the cosmic inflation scenario in some viable models of the f(R) modified gravity of polynomial-exponential form. Results show that the magnitude of the parameter β in these viable models is at the order of 5.67x10–76 and the time of inflation is at the order of 4.6 x 10–35 s.

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROscience 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROscience 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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

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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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Physical clearing mechanisms in power industry

Physical clearing mechanisms in power industry

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IEEE PES Power Systems Conference and Exposition, PSCE

作者： K. Atkins C.M. Homan A. Marathe Basic and Applied Simulation Science Group Los Alamos National Laboratory Los Alamos NM USA Department of Computer Science Rochester Institute of Technology Rochester NY USA Modeling Algorithms and Informatics Group Los Alamos National Laboratory Los Alamos NM USA

This paper studies the performance of several different physical clearing mechanisms in the electricity market. The study is done using the simulation tool, Marketecture, developed at the Los Alamos National Laboratory. Two cities, Portland and Chicago, are used for simulating the physical clearing algorithms. The algorithms were chosen according to their ability to serve as a proxy for some of the well known policies. Our results show that, based on the economic measures chosen, both cities perform very similarly under the different physical clearing mechanisms.

关键词： Power industry Contracts Laboratories Computational modeling Power generation economics ISO Cities and towns Energy consumption Computational complexity Computer industry

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Transportation Networks: Dynamics and simulation

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AIP Conference Proceedings 2002年第1期622卷 251-264页

作者： Stephen G. Eubank Basic and Applied Simulation Science Group D‐2 MS‐M997 LANL Los Alamos NM 87545

Analyzing the behavior of socio‐technical systems ‐ large urban populations interacting under constraints imposed by technical infrastructure ‐ poses many interesting problems. We describe why simulation is an appropriate experimental method for studying these systems, drawing examples from the development and implementation of the Transportation Analysis and simulation System (TRANSIMS). TRANSIMS is an urban planning tool that combines census data and household surveys with a description of the transportation network to produce estimates of human mobilty. It iteratively evaluates hundreds of thousands of coupled non‐linear models to produce a solution to a million‐person game.

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Analyzing the short-term fairness of IEEE 802.11 in wireless multi-hop radio networks

Analyzing the short-term fairness of IEEE 802.11 in wireless...

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International Symposium on Modeling, Analysis and simulation of Computer and Telecommunication Systems (MASCOTS)

作者： C.L. Barrett M.V. Marathe D.C. Engelhart A. Sivasubramaniam Los Alamos National Laboratory Los Alamos NM USA Graduate research student in the Basic and Applied Simulation Science Group Los Alamos National Laboratory Pennsylvania State University Intel Research Laboratories University Park PA USA

We extensively analyze the short (and long) term fairness performance of wireless ad hoc networks. Recently the fairness of the MAC layer of such systems has been studied. The primary goal of our study is to investigate how multi-hop routing in an ad hoc network affects the fairness of the MAC layer. We demonstrate that higher-level protocols must also be considered when studying fairness. We analyze the behavior of a network using DSR (dynamic source routing) and DSDV as ad hoc routing protocols. The MAC layer used is IEEE 802.11. The study is carried out for a wide range of independent parameters. These include: (i) network topology; (ii) the number of connections and their spatial location; (iii) the injection rate and burstiness of individual connections. We also study the correlation between fairness and reception ratio.

关键词： Intelligent networks Spread spectrum communication Radio networks Routing protocols Telecommunication traffic Transceivers Network topology Throughput Media Access Protocol Packet radio networks

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