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Small P values may not yield robust findings:an example using REST-meta-PD

Science Bulletin 2021年第21期66卷 2148-2152,M0003页

作者： Xi-Ze Jia Na Zhao Hao-Ming Dong Jia-Wei Sun Marek Barton Roxana Burciu Nicolas Carrière Antonio Cerasa Bo-Yu Chen Jun Chen Stephen Coombes Luc Defebvre Christine Delmaire Kathy Dujardin Fabrizio Esposito Guo-Guang Fan Federica Di Nardo Yi-Xuan Feng Brett W.Fling Saurabh Garg Moran Gilat Martin Gorges Shu-Leong Ho Fay BHorak Xiao Hu Xiao-Fei Hu Biao Huang Pei-Yu Huang Ze-Juan Jia Christina Jones Jan Kassubek Lenka Krajcovicova Ajay Kurani Jing Li Qing Li Ai-Ping Liu Bo Liu Hu Liu Wei-Guo Liu Renaud Lopes Yu-Ting Lou Wei Luo Tara Madhyastha Ni-Ni Mao Grainne McAlonan Martin J.McKeown Shirley Pang Andrea Quattrone Irena Rektorova Alessia Sarica Hui-Fang Shang James M.Shine Priyank Shukla Tomas Slavicek Xiao-Peng Song Gioacchino Tedeschi Alessandro Tessitore David Vaillancourt Jian Wang Jue Wang Z.Jane Wang Lu-Qing Wei Xia Wu Xiao-Jun Xu Lei Yan Jing Yang Wan-Qun Yang Nai-Lin Yao De-Long Zhang Jiu-Quan Zhang Min-Ming Zhang Yan-Ling Zhang Cai-Hong Zhou Chao-Gan Yan Xi-Nian Zuo Mark Hallett Tao Wu Yu-Feng Zang Center for Cognition and Brain Disorders the Affiliated HospitalHangzhou Normal UniversityHangzhou 310015China Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou 311121China National Basic Science Data Center Beijing 100190China State Key Laboratory of Cognitive Neuroscience and Learning&McGovern Institute for Brain Research Beijing Normal UniversityBeijing 100875China School of Information and Electronics Technology Jiamusi UniversityJiamusi 154007China Neuroscience Program Central European Institute of TechnologyCEITECMasaryk UniversityBrno 62500Czech Republic Department of Applied Physiology and Kinesiology University of FloridaGainesville FL 32611USA Univ.Lille InsermCHU LilleU1172-LilNCog-Lille Neuroscience&CognitionLille F-59000France The Institute for Biomedical Research and Innovation National Research CouncilMangone CS 87050Italy Department of Radiology The First Affiliated Hospital of China Medical UniversityShenyang 110001China Department of Radiology Guangdong Provincial Hospital of Chinese MedicineGuangzhou 510120China Department of Medicine Surgery and DentistryScuola Medica SalernitanaUniversity of SalernoFiscianoSA 132-84084Italy Department of Advanced Medical and Surgery Sciences University of Campania“Luigi Vanvitelli”Caserta 81100Italy Eye Center of the 2nd Affiliated Hospital Medical College of Zhejiang UniversityHangzhou 310020China Zhejiang Provincial Key Lab of Ophthalmology Hangzhou 310020China Department of Health and Exercise Science Colorado State UniversityFort Collins CO 80523USA Pacific Parkinson’s Research Centre University of British ColumbiaVancouver BC V6E 2M6Canada Department of Medicine(Neurology)University of British Columbia Vancouver BC V6T 1B7Canada Brain and Mind Center The University of SydneySydney NSW 2006Australia Department of Neurology Ulm UniversityUlm 89081Germany Division of Neurology Department of MedicineQueen Mary HospitalUniversity of Hong KongHong Kong 999077China Department of

Thousands of resting state functional magnetic resonance imaging(RS-f MRI)articles have been published on brain *** precise localization of abnormal brain activity,a voxel-level comparison is *** of the large number of voxels in the brain,multiple comparison correction(MCC)must be performed to reduce false positive rates,and a smaller P value(usually including either liberal or stringent MCC)is widely recommended[1].

关键词：帕金森病 precise correction

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DeePMD-kit v2: A software package for Deep Potential models

arXiv

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arXiv 2023年

作者： Zeng, Jinzhe Zhang, Duo Lu, Denghui Mo, Pinghui Li, Zeyu Chen, Yixiao Rynik, Marián Huang, Li'ang Li, Ziyao Shi, Shaochen Wang, Yingze Ye, Haotian Tuo, Ping Yang, Jiabin Ding, Ye Li, Yifan Tisi, Davide Zeng, Qiyu Bao, Han Xia, Yu Huang, Jiameng Muraoka, Koki Wang, Yibo Chang, Junhan Yuan, Fengbo Bore, Sigbjørn Løland Cai, Chun Lin, Yinnian Wang, Bo Xu, Jiayan Zhu, Jia-Xin Luo, Chenxing Zhang, Yuzhi Goodall, Rhys E.A. Liang, Wenshuo Singh, Anurag Kumar Yao, Sikai Zhang, Jingchao Wentzcovitch, Renata Han, Jiequn Liu, Jie Jia, Weile York, Darrin M. Weinan, E. Car, Roberto Zhang, Linfeng Wang, Han Laboratory for Biomolecular Simulation Research Institute for Quantitative Biomedicine Department of Chemistry and Chemical Biology Rutgers University PiscatawayNJ08854 United States AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China HEDPS CAPT College of Engineering Peking University Beijing100871 China College of Electrical and Information Engineering Hunan University Changsha China Yuanpei College Peking University Beijing100871 China Program in Applied and Computational Mathematics Princeton University PrincetonNJ08540 United States Department of Experimental Physics Comenius University Mlynská Dolina F2 Bratislava842 48 Slovakia Center for Quantum Information Institute for Interdisciplinary Information Sciences Tsinghua University Beijing100084 China Center for Data Science Peking University Beijing100871 China ByteDance Research Zhonghang Plaza No. 43 North 3rd Ring West Road Haidian District Beijing China College of Chemistry and Molecular Engineering Peking University Beijing100871 China Baidu Inc. Beijing China Key Laboratory of Structural Biology of Zhejiang Province School of Life Sciences Westlake University Zhejiang Hangzhou China Westlake AI Therapeutics Lab Westlake Laboratory of Life Sciences and Biomedicine Zhejiang Hangzhou China Department of Chemistry Princeton University PrincetonNJ08544 United States SISSA Scuola Internazionale Superiore di Studi Avanzati Trieste34136 Italy Laboratory of Computational Science and Modeling Institute of Materials École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Department of Physics National University of Defense Technology Hunan Changsha410073 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China School of Electronics Engineerin

DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials (MLP) known as Deep Potential (DP) models. This package, which was released in 2017, has been widely used in the fields of physics, chemistry, biology, and material science for studying atomistic systems. The current version of DeePMD-kit offers numerous advanced features such as DeepPot-SE, attention-based and hybrid descriptors, the ability to fit tensile properties, type embedding, model deviation, Deep Potential - Range Correction (DPRc), Deep Potential Long Range (DPLR), GPU support for customized operators, model compression, non-von Neumann molecular dynamics (NVNMD), and improved usability, including documentation, compiled binary packages, graphical user interfaces (GUI), and application programming interfaces (API). This article presents an overview of the current major version of the DeePMD-kit package, highlighting its features and technical details. Additionally, the article benchmarks the accuracy and efficiency of different models and discusses ongoing developments. © 2023, CC BY-NC-ND.

关键词： Molecular dynamics

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Author Correction: Maximizing carbon sequestration potential in Chinese forests through optimal management

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Nature communications 2024年第1期15卷 4020页

作者： Zhen Yu Shirong Liu Haikui Li Jingjing Liang Weiguo Liu Shilong Piao Hanqin Tian Guoyi Zhou Chaoqun Lu Weibin You Pengsen Sun Yanli Dong Stephen Sitch Evgenios Agathokleous Key Laboratory of Ecosystem Carbon Source and Sink China Meteorological Administration (ECSS-CMA) School of Ecology and Applied Meteorology Nanjing University of Information Science and Technology Nanjing 210044 China. zyu@***. Key Laboratory of Forest Ecology and Environment China's National Forestry and Grassland Administration Ecology and Nature Conservation Institute Chinese Academy of Forestry 100091 Beijing China. zyu@***. Key Laboratory of Forest Ecology and Environment China's National Forestry and Grassland Administration Ecology and Nature Conservation Institute Chinese Academy of Forestry 100091 Beijing China. liusr@***. Key Laboratory of Forest Management and Growth Modelling China's National Forestry and Grassland Administration Research Institute of Forest Resource Information Techniques Chinese Academy of Forestry 100091 Beijing China. Forest Advanced Computing and Artificial Intelligence Laboratory (FACAI) Department of Forestry and Natural Resources Purdue University West Lafayette IN 47907 USA. College of Forestry Northwest agriculture and Forestry University Yangling 712100 China. Sino-French Institute for Earth System Science College of Urban and Environmental Sciences Peking University 100871 Beijing China. Schiller Institute for Integrated Science and Society Department of Earth and Environmental Sciences Boston College Chestnut Hill Massachusetts MA 02467 USA. Key Laboratory of Ecosystem Carbon Source and Sink China Meteorological Administration (ECSS-CMA) School of Ecology and Applied Meteorology Nanjing University of Information Science and Technology Nanjing 210044 China. Department of Ecology Evolution and Organismal Biology Iowa State University Ames IA 50011 USA. College of Forestry Fujian Agriculture and Forestry University Fuzhou 350002 China. Key Laboratory of Forest Ecology and Environment China's National Forestry and Grassland Administration Ecology and Nature Conservation Institute Chinese Academy of Forestry 10

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On the Road to 6G: Visions, Requirements, key Technologies and Testbeds

arXiv

引用

arXiv 2023年

作者： Wang, Cheng-Xiang You, Xiaohu Gao, Xiqi Zhu, Xiuming Li, Zixin Zhang, Chuan Wang, Haiming Huang, Yongming Chen, Yunfei Haas, Harald Thompson, John S. Larsson, Erik G. Di Renzo, Marco Tong, Wen Zhu, Peiying Shen, Xuemin Poor, H. Vincent Hanzo, Lajos The National Mobile Communications Research Laboratory School of Information Science and Engineering Southeast University Nanjing210096 China The Purple Mountain Laboratories Nanjing211111 China The School of Information Science and Engineering The State Key Laboratory of Millimeter Waves Southeast University Nanjing210096 China The Pervasive Communication Research Center Purple Mountain Laboratories Nanjing211111 China The School of Engineering The University of Warwick CoventryCV4 7AL United Kingdom The LiFi Research and Development Center Department of Electronic and Electrical Engineering University of Strathclyde GlasgowG1 1XQ United Kingdom The Institute for Digital Communications School of Engineering University of Edinburgh EdinburghEH9 3JL United Kingdom Linköping University Linköping581 83 Sweden Université Paris-Saclay CNRS CentraleSupélec Laboratoire des Signaux et Systèmes 3 Rue Joliot-Curie Gif-sur-Yvette91192 France The Wireless Advanced System and Competency Centre HUAWEI Technologies Co. Ltd. OttawaONK2K 3J1 Canada HUAWEI Technologies Canada Co. Ltd. OttawaONK2K 3J1 Canada The Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States The School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

Fifth generation (5G) mobile communication systems have entered the stage of commercial development, providing users with new services and improved user experiences as well as offering a host of novel opportunities to various industries. However, 5G still faces many challenges. To address these challenges, international industrial, academic, and standards organizations have commenced research on sixth generation (6G) wireless communication systems. A series of white papers and survey papers have been published, which aim to define 6G in terms of requirements, application scenarios, key technologies, etc. Although ITU-R has been working on the 6G vision and it is expected to reach a consensus on what 6G will be by mid-2023, the related global discussions are still wide open and the existing literature has identified numerous open issues. This paper first provides a comprehensive portrayal of the 6G vision, technical requirements, and application scenarios, covering the current common understanding of 6G. Then, a critical appraisal of the 6G network architecture and key technologies is presented. Furthermore, existing testbeds and advanced 6G verification platforms are detailed for the first time. In addition, future research directions and open challenges are identified for stimulating the on-going global debate. Finally, lessons learned to date concerning 6G networks are discussed. © 2023, CC BY.

关键词： Network architecture

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Author Correction: Ultra-efficient frequency comb generation in AlGaAs-on-insulator microresonators

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Nature communications 2021年第1期12卷 1803页

作者： Lin Chang Weiqiang Xie Haowen Shu Qi-Fan Yang Boqiang Shen Andreas Boes Jon D Peters Warren Jin Chao Xiang Songtao Liu Gregory Moille Su-Peng Yu Xingjun Wang Kartik Srinivasan Scott B Papp Kerry Vahala John E Bowers Department of Electrical and Computer Engineering University of California Santa Barbara CA 93106 USA. Department of Electrical and Computer Engineering University of California Santa Barbara CA 93106 USA. weiqiangxie@ucsb.edu. State Key Laboratory of Advanced Optical Communications System and Networks Peking University Beijing 100871 China. T. J. Watson Laboratory of Applied Physics California Institute of Technology Pasadena CA 91125 USA. School of Engineering RMIT University Melbourne VIC 3000 Australia. Microsystems and Nanotechnology Division National Institute of Standards and Technology Gaithersburg MD 20899 USA. Time and Frequency Division National Institute of Standards and Technology Boulder CO 80305 USA. Department of Electrical and Computer Engineering University of California Santa Barbara CA 93106 USA. bowers@ece.ucsb.edu.

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Enterotypes in the landscape of gut microbial community composition (vol 3, pg 8, 2017)

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NATURE MICROBIOLOGY 2018年第3期3卷 388-388页

作者： Costea, Paul I. Hildebrand, Falk Arumugam, Manimozhiyan Backhed, Fredrik Blaser, Martin J. Bushman, Frederic D. de Vos, Willem M. Ehrlich, S. Dusko Fraser, Claire M. Hattori, Masahira Huttenhower, Curtis Jeffery, Ian B. Knights, Dan Lewis, James D. Ley, Ruth E. Ochman, Howard O'Toole, Paul W. Quince, Christopher Relman, David A. Shanahan, Fergus Sunagawa, Shinichi Wang, Jun Weinstock, George M. Wu, Gary D. Zeller, Georg Zhao, Liping Raes, Jeroen Knight, Rob Bork, Peer European Molecular Biology Laboratory Heidelberg Germany. VIB Center for Microbiology VIB Belgium. Laboratory of Microbiology Vrije Universiteit Brussel Brussels Belgium. The Novo Nordisk Foundation Center for Basic Metabolic Research Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark. Wallenberg Laboratory Department of Molecular and Clinical Medicine Institute of Medicine Sahlgrenska Academy University of Gothenburg Gothenburg Sweden. Novo Nordisk Foundation Center for Basic Metabolic Research Section for Metabolic Receptology and Enteroendocrinology Faculty of Health Sciences University of Copenhagen Copenhagen Denmark. New York University Langone Medical Center New York NY USA. Department of Microbiology Perelman School of Medicine at the University of Pennsylvania Philadelphia PA USA. RPU Immunobiology Department of Bacteriology & Immunology University of Helsinki Helsinki Finland. Laboratory of Microbiology Wageningen University Wageningen The Netherlands. Metagenopolis Institut National de la Recherche Agronomique Jouy en Josas France. King's College London Centre for Host-Microbiome Interactions Dental Institute Central Office Guy's Hospital London UK. Institute for Genome Sciences at the University of Maryland School of Medicine Baltimore MD USA. Graduate School of Advanced Science and Engineering Waseda University Tokyo Japan. Department of Biostatistics Harvard School of Public Health Boston MA USA. APC Microbiome Institute University College Cork Cork Ireland. Biotechnology Institute University of Minnesota Saint Paul MN USA. Department of Computer Science and Engineering University of Minnesota Minneapolis MN USA. Center for Clinical Epidemiology and Biostatistics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. MPI Department of Microbiome Science Tübingen Germany. Department of Integrative Biology University of Texas Austin TX USA. Warwick Medical School University

Population stratification is a useful approach for a better understanding of complex biological problems in human health and wellbeing. The proposal that such stratification applies to the human gut microbiome, in the form of distinct community composition types termed enterotypes, has been met with both excitement and controversy. In view of accumulated data and re-analyses since the original work, we revisit the concept of enterotypes, discuss different methods of dividing up the landscape of possible microbiome configurations, and put these concepts into functional, ecological and medical contexts. As enterotypes are of use in describing the gut microbial community landscape and may become relevant in clinical practice, we aim to reconcile differing views and encourage a balanced application of the concept.

关键词： Community composition landscapes

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The enhanced X-ray Timing and Polarimetry mission- eXTP

arXiv

引用

arXiv 2018年

作者： Zhang, Shuang-Nan Santangelo, Andrea Feroci, Marco Xu, Yupeng Lu, Fangjun Chen, Yong Feng, Hua Zhang, Shu Brandt, Søren Hernanz, Margarita Baldini, Luca Bozzo, Enrico Campana, Riccardo de Rosa, Alessandra Dong, Yongwei Evangelista, Yuri Karas, Vladimir Meidinger, Norbert Meuris, Aline Nandra, Kirpal Pan, Teng Pareschi, Giovanni Orleanski, Piotr Huang, Qiushi Schanne, Stephane Sironi, Giorgia Spiga, Daniele Svoboda, Jiri Tagliaferri, Gianpiero Tenzer, Christoph Vacchi, Andrea Zane, Silvia Walton, Dave Wang, Zhanshan Winter, Berend Wu, Xin in’t Zand, Jean J.M. Ahangarianabhari, Mahdi Ambrosi, Giovanni Ambrosino, Filippo Barbera, Marco Basso, Stefano Bayer, Jörg Bellazzini, Ronaldo Bellutti, Pierluigi Bertucci, Bruna Bertuccio, Giuseppe Borghi, Giacomo Cao, Xuelei Cadoux, Franck Campana, Riccardo Ceraudo, Francesco Chen, Tianxiang Chen, Yupeng Chevenez, Jerome Civitani, Marta Cui, Wei Cui, Weiwei Dauser, Thomas Monte, Ettore Del Cosimo, Sergio Di Diebold, Sebastian Doroshenko, Victor Dovciak, Michal Du, Yuanyuan Ducci, Lorenzo Fan, Qingmei Favre, Yannick Fuschino, Fabio Gálvez, José Luis Gao, Min Ge, Mingyu Gevin, Olivier Grassi, Marco Gu, Quanying Gu, Yudong Han, Dawei Hong, Bin Hu, Wei Ji, Long Jia, Shumei Jiang, Weichun Kennedy, Thomas Kreykenbohm, Ingo Kuvvetli, Irfan Labanti, Claudio Latronico, Luca Li, Gang Li, Maoshun Li, Xian Li, Wei Li, Zhengwei Limousin, Olivier Liu, Hongwei Liu, Xiaojing Lu, Bo Luo, Tao Macera, Daniele Malcovati, Piero Martindale, Adrian Michalska, Malgorzata Meng, Bin Minuti, Massimo Morbidini, Alfredo Muleri, Fabio Paltani, Stephane Perinati, Emanuele Picciotto, Antonino Piemonte, Claudio Qu, Jinlu Rachevski, Alexandre Rashevskaya, Irina Rodriguez, Jerome Schanz, Thomas Shen, Zhengxiang Sheng, Lizhi Song, Jiangbo Song, Liming Sgro, Carmelo Sun, Liang Tan, Ying Uttley, Phil Wang, Bo Wang, Dianlong Wang, Guofeng Wang, Juan Wang, Langping Wang, Yusa Watts, Anna L. Wen, Xiangyang Wilms, Jörn Xiong, Shaolin Yang, Jiawei Yang, Sheng Yang, Yanji Yu, Nian Zhang, Wenda Zampa, Gianluigi Zampa, Ni Key Laboratory for Particle Astrophysics Institute of High Energy Physics Beijing100049 China Institut für Astronomie und Astrophysik Eberhard Karls Universität Tübingen72076 Germany INAF – Istituto di Astrofisica e Planetologia Spaziali Via Fosso del Cavaliere 100 RomaI-00133 Italy INFN – Roma Tor Vergata Via della Ricerca Scientifica 1 RomaI-00133 Italy Department of Engineering Physics Center for Astrophysics Tsinghua University Beijing100084 China Department of Astronomy University of Geneva chemin d’Ecogia 16 Versoix1290 Switzerland Department of Nuclear and Particle Physics University of Geneva CH-1211 Switzerland Astronomical Institute Czech Academy of Sciences Prague14100 Czech Republic Anton Pannekoek Institute for Astronomy University of Amsterdam Science Park 904 Amsterdam1098 XH Netherlands CEA Paris-Saclay IRFU Gif sur YvetteF-91191 France SRON Netherlands Institute for Space Research Sorbonnelaan 2 Utrecht3584 CA Netherlands 08193 Spain Barcelona08034 Spain Mullard Space Science Laboratory University College London Holmbury St Mary Dorking SurreyRH56NT United Kingdom Department of Physics and Astronomy University of Leicester LeicesterLE17RH United Kingdom Max Planck Institute for Extraterrestrial Physics Giessenbachstr. 1 Garching85748 Germany Center for Precision Engineering Harbin Institute of Technology Harbin150001 China State key laboratory of advanced welding and joining Harbin Institute of Technology Harbin150006 China School of Chemistry and Chemical Engineering Harbin Institute of Technology Harbin150001 China State Key Laboratory of Transient Optics and Photonics Xi’an Institute of Optics and Precision Mechanics CAS Xi’an710119 China Beijing Institute of Spacecraft System Engineering CAST Beijing10094 China Key Laboratory of Advanced Material Microstructure of Education Ministry of China Institute of Precision Optical Engineering School of Physics Science and Engineering Tongji University Shanghai20

In this paper we present the enhanced X-ray Timing and Polarimetry mission. eXTP is a space science mission designed to study fundamental physics under extreme conditions of density, gravity and magnetism. The mission aims at determining the equation of state of matter at supra-nuclear density, measuring effects of QED, and understanding the dynamics of matter in strong-field gravity. In addition to investigating fundamental physics, eXTP will be a very powerful observatory for astrophysics that will provide observations of unprecedented quality on a variety of galactic and extragalactic objects. In particular, its wide field monitoring capabilities will be highly instrumental to detect the electro-magnetic counterparts of gravitational wave sources. The paper provides a detailed description of: 1) The technological and technical aspects, and the expected performance of the instruments of the scientific payload;2) The elements and functions of the mission, from the spacecraft to the ground segment. Copyright © 2018, The Authors. All rights reserved.

关键词： Timing circuits

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Author Correction: Site selection of desert solar farms based on heterogeneous sand flux

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npj Climate and Atmospheric Science 2024年第1期7卷 1页

作者： Guoshuai Li Tao Che Ying Zhang Chunlin Huang Rui Jin Wenjun Tang Xin Li Lihai Tan Bao Yang Guangcai Feng Fredrik Charpentier Ljungqvist Yayong Luo Heqiang Du Hui Zhao Ning Huang Heihe Remote Sensing Experimental Research Station Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou China National Tibetan Plateau Data Center State Key Laboratory of Tibetan Plateau Earth System Environment and Resources Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing China Dunhuang Gobi Desert Research Station Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou China School of Geography and Ocean Science Nanjing University Nanjing China School of Geosciences and Info-physics Central South University Changsha China Department of History Stockholm University Stockholm Sweden Bolin Centre for Climate Research Stockholm University Stockholm Sweden Swedish Collegium for Advanced Study Uppsala Sweden Naiman Desertification Research Station Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou China Key Laboratory of Desert and Desertification Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou China Department of Mechanics College of Civil Engineering and Mechanics Lanzhou University Lanzhou China

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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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The Blood Compatibility Challenge

SSRN

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SSRN 2019年

作者： Jaffer, Iqbal H. Weitz, Jeffrey I. Brash, John L. Horbett, Thomas A. Latour, Robert A. Tengvall, Pentti Gorbet, Maud Sperling, Claudia Maitz, Manfred F. Siedlecki, Christopher A. Werner, Carsten Sefton, Michael V. Maitz, Manfred F. Martins, M. Cristina L Grabow, Niels Matschegewski, Claudia Huang, Nan Chaikof, Elliot L. Barbosa, Mário A. Werner, Carsten Thrombosis and Atherosclerosis Research Institute McMaster University 237 Barton Street East HamiltonONL8L 2X2 Canada McMaster University HamiltonON Canada University of Washington SeattleWA United States Clemson University ClemsonSC United States Gothenburg University Gothenburg Sweden Department of System Design Engineering University of Waterloo WaterlooON Canada Institute Biofunctional Polymer Materials Max Bergmann Center of Biomaterials Leibniz-Institut für Polymerforschung Dresden e.V. Dresden Germany Department of Surgery The Pennsylvania State University College of Medicine Hershey PA17033 United States Department of Bioengineering The Pennsylvania State University College of Medicine Hershey PA17033 United States University of Toronto Institute Biofunctional Polymer Materials Max Bergmann Center of Biomaterials Leibniz-Institut für Polymerforschung Dresden e.V. Dresden Germany i3S Instituto de Investigacao e Inovacao em Saude INEB Instituto de Engenharia Bionedica Rua Alfredo Allen 208 Porto4200-135 Portugal ICBAS Instituto de Ciencias Bioedicas Abel Salazar Universidade do Porto Porto Portugal Institut für Biomedizinische Technik Universitätsmedizin Rostock Friedrich-Barnewitz-Str. 4 Rostock18119 Germany Key Laboratory of Advanced Technology for Materials of Education Ministry School of Materials Science and Engineering Southwest Jiaotong University Chengdu610031 China Beth Israel Deaconess Medical Center Harvard Medical School 330 Brookline Avenue BostonMA02115 United States Wyss Institute for Biologically Inspired Engineering Harvard University 3 Blackfan Circle BostonMA02115 United States Harvard-MIT Division of Health Sciences and Technology 77 Massachusetts Avenue CambridgeMA02139 United States

Despite >50 years of study, there are no materials that are considered truly nonthrombogenic. Some materials minimize protein adsorption or cell adhesion while others actively inhibit thrombin generation through heparinization. Nonetheless the problem of biomaterial associated thrombogenicity remains. While once an active area of research, the problem has not only not been solved, it has also been largely abandoned. It is considered too hard or efforts attack only one particular aspect of the problem or more broadly new ideas and approaches have not been brought to bear. This frustration has led to a series of review papers where we summarize the features of broad agreement and provide commentary on those aspects of the problem that were subject to dispute. These are (see also Figure 1): 1. Blood-contacting medical devices: The scope of the problem;2. Protein adsorption phenomena governing blood reactivity;3. Material associated activation of blood cascades and cells;4. Surface modification for hemocompatible materials: passive and active approaches to guide blood-material interactions. We were inspired by the structure of the >1500 year old book of Jewish laws, called the Talmud, in which commentaries are layered on commentaries to interpret and reinterpret a biblical law. It takes the form of a record of discussions pertaining to Jewish law, ethics, philosophy, customs and history. Here we began with what we believed to be a generally accepted truth regarding thrombogenicity and then added our thoughts and commentaries regarding with respect to aspects that were not as scientifically firm as the opening "truth." We hope that future investigators will update these reviews as new scholarship resolves the uncertainties of today. © 2019, The Authors. All rights reserved.

关键词： Cell adhesion

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