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arXiv 2019年

作者： Morgan, Robert Bechtol, Keith Kessler, R. Sako, M. Herner, K. Doctor, Z. Scolnic, D. Sevilla-Noarbe, I. Franckowiak, A. Neilson, K.N. Kowalski, M. Palmese, A. Swann, E. Thomas, B.P. Vivas, A.K. Drlica-Wagner, A. Garcia, A. Brout, D. Paz-Chinchón, F. Neilsen, E. Diehl, H.T. Soares-Santos, M. Abbott, T.M.C. Avila, S. Bertin, E. Brooks, D. Buckley-Geer, E. Carnero Rosell, A. Carrasco Kind, M. Carretero, J. Cawthon, R. Costanzi, M. De Vicente, J. Desai, S. Doel, P. Flaugher, B. Fosalba, P. Frieman, J. García-Bellido, J. Gaztanaga, E. Gerdes, D.W. Gruen, D. Gruendl, R.A. Gschwend, J. Gutierrez, G. Hollowood, D.L. Honscheid, K. James, D.J. Kuropatkin, N. Lima, M. Maia, M.A.G. Marshall, J.L. Menanteau, F. Miller, C.J. Miquel, R. Plazas, A.A. Sanchez, E. Scarpine, V. Schubnell, M. Serrano, S. Smith, M. Sobreira, F. Suchyta, E. Swanson, M.E.C. Tarle, G. Vikram, V. Walker, A.R. Weller, J. Physics Department University of Wisconsin-Madison 1150 University Avenue MadisonWI53706 United States Large Synoptic Survey Telescope Corporation Data Science Fellowship Program United States Large Synoptic Survey Telescope 933 North Cherry Avenue TucsonAZ85721 United States Department of Astronomy and Astrophysics University of Chicago ChicagoIL60637 United States Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States Fermi National Accelerator Laboratory P. O. Box 500 BataviaIL60510 United States Madrid Spain Deutsches Elektronen Synchrotron DESY Zeuthen D-15738 Germany Department of Physics Drexel University 3141 Chestnut St PhiladelphiaPA19104 United States Institute of Physics Humboldt-Universität zu Berlin Newtonstr. 15 Berlin12489 Germany Deutsches Elektronen-Synchrotron Zeuthen D-15735 Germany Institute of Cosmology and Gravitation University of Portsmouth PortsmouthPO1 3FX United Kingdom Cerro Tololo Inter-American Observatory National Optical Astronomy Observatory Casilla 603 La Serena Chile Brandeis University Physics Department 415 South Street WalthamMA02453 United States National Center for Supercomputing Applications 1205 West Clark St. UrbanaIL61801 United States Instituto de Fisica Teorica UAM CSIC Universidad Autonoma de Madrid Madrid28049 Spain CNRS UMR 7095 Institut d’Astrophysique de Paris ParisF-75014 France Sorbonne Universités UPMC Univ Paris 06 UMR 7095 Institut d’Astrophysique de Paris ParisF-75014 France Department of Physics & Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom Laboratório Interinstitucional de e-Astronomia - LIneA Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil Department of Astronomy University of Illinois at Urbana-Champaign 1002 W. Green Street UrbanaIL61801 United States The Barcelona Insti

In this work, we investigate the likelihood of association between realtime, TeV-PeV energy neutrino alerts from IceCube and optical counterparts in the form of core-collapse supernovae (CC SNe). The optical follow-up of IceCube alerts requires two main instrumental capabilities: (1) deep imaging, since 73% of neutrinos would come from CC SNe at redshifts z > 0.3, and (2) a large field of view (FoV), since typical IceCube muon neutrino pointing accuracy is on the order of ∼ 1 deg. With Blanco/DECam (gri to 24th magnitude and 2.2 deg diameter FoV), we performed a triggered optical follow-up observation of two IceCube alerts, IC170922A and IC171106A on ∼ 6 nights during the ∼ 3 weeks following each alert. For the IC170922A (IC171106A) follow-up observations, we expect that 12.1% (9.5%) of coincident CC SNe at z 0.3 are detectable, and that on average, 0.23 (0.07) unassociated SNe in the neutrino 90% containment regions also pass our selection criteria. We find two candidate CC SNe that are temporally coincident with the neutrino alerts in the FoV, but none in the 90% containment regions, which is statistically consistent with expected rates of background CC SNe for these observations. If CC SNe are the dominant source of TeV-PeV neutrinos, we would expect an excess of coincident CC SNe to be detectable at the 3σ confidence level using DECam observations similar to those of this work for ∼ 60 (∼ 200) neutrino alerts with (without) redshift information for all candidates. Copyright © 2019, The Authors. All rights reserved.

关键词： Neutrons

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Author Correction: Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease risk

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Nature genetics 2020年第3期52卷 354页

作者： Iris E Jansen Jeanne E Savage Kyoko Watanabe Julien Bryois Dylan M Williams Stacy Steinberg Julia Sealock Ida K Karlsson Sara Hägg Lavinia Athanasiu Nicola Voyle Petroula Proitsi Aree Witoelar Sven Stringer Dag Aarsland Ina S Almdahl Fred Andersen Sverre Bergh Francesco Bettella Sigurbjorn Bjornsson Anne Brækhus Geir Bråthen Christiaan de Leeuw Rahul S Desikan Srdjan Djurovic Logan Dumitrescu Tormod Fladby Timothy J Hohman Palmi V Jonsson Steven J Kiddle Arvid Rongve Ingvild Saltvedt Sigrid B Sando Geir Selbæk Maryam Shoai Nathan G Skene Jon Snaedal Eystein Stordal Ingun D Ulstein Yunpeng Wang Linda R White John Hardy Jens Hjerling-Leffler Patrick F Sullivan Wiesje M van der Flier Richard Dobson Lea K Davis Hreinn Stefansson Kari Stefansson Nancy L Pedersen Stephan Ripke Ole A Andreassen Danielle Posthuma Department of Complex Trait Genetics Center for Neurogenomics and Cognitive Research Amsterdam Neuroscience VU University Amsterdam the Netherlands. Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam the Netherlands. Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden. deCODE Genetics/ Amgen Reykjavik Iceland. Interdisciplinary Graduate Program Vanderbilt University Nashville TN USA. Institute of Gerontology and Aging Research Network-Jönköping (ARN-J) School of Health and Welfare Jönköping University Jönköping Sweden. NORMENT K.G. Jebsen Centre for Psychosis Research Institute of Clinical Medicine University of Oslo Oslo Norway. Division of Mental Health and Addiction Oslo University Hospital Oslo Norway. Institute of Psychiatry Psychology and Neuroscience King's College London London UK. Institute of Clinical Medicine University of Oslo Oslo Norway. Center for Age-Related Diseases Stavanger University Hospital Stavanger Norway. Department of Neurology Akershus University Hospital Lørenskog Norway. AHUS Campus University of Oslo Oslo Norway. Department of Psychiatry of Old Age Oslo University Hospital Oslo Norway. Department of Community Medicine University of Tromsø Tromsø Norway. Norwegian National Advisory Unit on Ageing and Health Vestfold Hospital Trust Tønsberg Norway. Centre for Old Age Psychiatry Research Innlandet Hospital Trust Ottestad Norway. Department of Geriatric Medicine Landspitali University Hospital Reykjavik Iceland. Geriatric Department Oslo University Hospital Oslo Norway. Department of Neuromedicine and Movement Science Norwegian University of Science and Technology Trondheim Norway. Department of Neurology St Olav's Hospital Trondheim University Hospital Trondheim Norway. Neuroradiology Section Department of Radiology and Biomedical Imaging University of California San Francisco CA USA. Department

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

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Nature genetics 2019年第7期51卷 1191-1192页

作者： Valérie Turcot Yingchang Lu Heather M Highland Claudia Schurmann Anne E Justice Rebecca S Fine Jonathan P Bradfield Tõnu Esko Ayush Giri Mariaelisa Graff Xiuqing Guo Audrey E Hendricks Tugce Karaderi Adelheid Lempradl Adam E Locke Anubha Mahajan Eirini Marouli Suthesh Sivapalaratnam Kristin L Young Tamuno Alfred Mary F Feitosa Nicholas G D Masca Alisa K Manning Carolina Medina-Gomez Poorva Mudgal Maggie C Y Ng Alex P Reiner Sailaja Vedantam Sara M Willems Thomas W Winkler Gonçalo Abecasis Katja K Aben Dewan S Alam Sameer E Alharthi Matthew Allison Philippe Amouyel Folkert W Asselbergs Paul L Auer Beverley Balkau Lia E Bang Inês Barroso Lisa Bastarache Marianne Benn Sven Bergmann Lawrence F Bielak Matthias Blüher Michael Boehnke Heiner Boeing Eric Boerwinkle Carsten A Böger Jette Bork-Jensen Michiel L Bots Erwin P Bottinger Donald W Bowden Ivan Brandslund Gerome Breen Murray H Brilliant Linda Broer Marco Brumat Amber A Burt Adam S Butterworth Peter T Campbell Stefania Cappellani David J Carey Eulalia Catamo Mark J Caulfield John C Chambers Daniel I Chasman Yii-Der I Chen Rajiv Chowdhury Cramer Christensen Audrey Y Chu Massimiliano Cocca Francis S Collins James P Cook Janie Corley Jordi Corominas Galbany Amanda J Cox David S Crosslin Gabriel Cuellar-Partida Angela D'Eustacchio John Danesh Gail Davies Paul I W Bakker Mark C H Groot Renée Mutsert Ian J Deary George Dedoussis Ellen W Demerath Martin Heijer Anneke I Hollander Hester M Ruijter Joe G Dennis Josh C Denny Emanuele Di Angelantonio Fotios Drenos Mengmeng Du Marie-Pierre Dubé Alison M Dunning Douglas F Easton Todd L Edwards David Ellinghaus Patrick T Ellinor Paul Elliott Evangelos Evangelou Aliki-Eleni Farmaki I Sadaf Farooqi Jessica D Faul Sascha Fauser Shuang Feng Ele Ferrannini Jean Ferrieres Jose C Florez Ian Ford Myriam Fornage Oscar H Franco Andre Franke Paul W Franks Nele Friedrich Ruth Frikke-Schmidt Tessel E Galesloot Wei Gan Ilaria Gandin Paolo Gasparini Jane Gibson Vilmantas Giedraitis Anette P Gjesing Penny Gordon-Larsen Mathias Gorski Hans-Jörgen Montreal Heart Institute Université de Montréal Montreal Quebec Canada. Division of Epidemiology Department of Medicine Vanderbilt-Ingram Cancer Center Vanderbilt Epidemiology Center Vanderbilt University School of Medicine Nashville TN USA. Charles Bronfman Institute for Personalized Medicine Icahn School of Medicine at Mount Sinai New York NY USA. Genetics of Obesity and Related Metabolic Traits Program Icahn School of Medicine at Mount Sinai New York NY USA. Department of Epidemiology University of North Carolina Chapel Hill NC USA. Human Genetics Center University of Texas School of Public Health University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences University of Texas Health Science Center at Houston Houston TX USA. Broad Institute of MIT and Harvard Cambridge MA USA. Department of Genetics Harvard Medical School Boston MA USA. Division of Endocrinology and Center for Basic and Translational Obesity Research Boston Children's Hospital Boston MA USA. Center for Applied Genomics Division of Human Genetics Children's Hospital of Philadelphia Philadelphia PA USA. Quantinuum Research LLC San Diego CA USA. Estonian Genome Center University of Tartu Tartu Estonia. Division of Epidemiology Department of Medicine Institute for Medicine and Public Health Vanderbilt Genetics Institute Vanderbilt University Nashville TN USA. Institute for Translational Genomics and Population Sciences LABioMed at Harbor-UCLA Medical Center Torrance CA USA. Wellcome Trust Sanger Institute Hinxton UK. Department of Mathematical and Statistical Sciences University of Colorado Denver CO USA. Wellcome Trust Centre for Human Genetics University of Oxford Oxford UK. Department of Biological Sciences Faculty of Arts and Sciences Eastern Mediterranean University Famagusta Cyprus. Max Planck Institute of Immunobiology and Epigenetics Freiburg Germany. Department of Biostatistics and Center for Statistical Genetics University of M

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

关键词： Genome-wide association studies Obesity

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相关性和一致性:这对相仿概念和测量方法的回顾与阐明（英文）

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上海精神医学 2016年第2期28卷 115-120页

作者： Liu JY Tang W Chen GQ Lu Y Feng CY Tu XM Department of Biostatistics and Computational Biology University of Rochester Rochester NY USA Department of Biostatistics & Bioinformatics School of Public Health and Tropical Medicine Tulane University New Orleans LA USA VA Cooperative Studies Program Palo Alto Coordinating Center VA Palo Alto Health Care System Palo Alto CA USA Department of Biomedical Data Science Stanford University Stanford CA USA

一致性(agreement)和相关性(correlation)是两个广泛使用的概念,用来评估变量之间的关联。虽然二者相似且相关,但是它们代表关联完全不同的概念。评估变量之间的一致性假设变量测量的是相同的结构,而在变量测量完全不同的结构时也可以... 详细信息

一致性(agreement)和相关性(correlation)是两个广泛使用的概念,用来评估变量之间的关联。虽然二者相似且相关,但是它们代表关联完全不同的概念。评估变量之间的一致性假设变量测量的是相同的结构,而在变量测量完全不同的结构时也可以评估它们之间的相关性。这种概念上的差异就要求使用不同的统计方法,并且当评估一致性或相关性时,统计方法根据数据的分布和研究者的兴趣可能会有所不同。例如,Pearson相关性,作为评估连续变量之间相关性的一种普遍测量方法,只有用于符合线性关系的变量时才能提供有用的信息;当用于不符合线性关系的变量时就无法提供准确信息甚至会产生误导。同样地,内部相关性,作为一种评估连续变量之间一致性的常用方法,如果一致性不好的实质正好是研究兴趣所在,那么该测量就不能为研究者提供充分的信息。本报告回顾了一致性和相关性的概念,并讨论了几种常用方法在应用中的差异。

关键词：积差相关性内部一致性 Kendall's tau 非线性相关 Pearson's相关性 Spearman's rho

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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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p值之争（英文）

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上海精神医学 2015年第6期27卷 381-385页

作者： Lu Y Belitskaya-Levy I VA (Veterans Affairs) Cooperative Studies Program Palo Alto Coordinating Center VA Palo Alto Health Care System Department of Biomedical Data Science Stanford University

概述:p值是生物医学研究中使用最广泛的统计学概念。最近,学界关于p值的效用以及p值的滥用与已发表的医学研究无法重复性较差之间可能存在的关联性有一些争论。在本文中,我们以通俗易懂的方法介绍p值,并且解释它的随机性和局限性。然而... 详细信息

概述:p值是生物医学研究中使用最广泛的统计学概念。最近,学界关于p值的效用以及p值的滥用与已发表的医学研究无法重复性较差之间可能存在的关联性有一些争论。在本文中,我们以通俗易懂的方法介绍p值,并且解释它的随机性和局限性。然而,目前提出其它能替代p值的概念也有同样的局限。我们得出了如下的结论:对于检验临床试验的中的零假设(null hypothesis)和替代假设(alternative hypothesis)来说,使用p值是一种有效的方法。然而,仅仅利用从某单一统计检验所得出的p值来判断研究项目的科学价值则是一种对p值的滥用;为得到可信的临床研究结果,我们需要将利用P值得到的推断检验的结果与次要结果以及其它数据进行整合。对于在研究中阐释统计结果而言,了解p值的多样性和局限性是至关重要的。

关键词： p值统计推断假设检验统计显著性科学可重复性

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Corrigendum to "Dissecting the genetic heterogeneity of gastric cancer"

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EBioMedicine 2023年 94卷 104709页

作者： Timo Hess Carlo Maj Jan Gehlen Oleg Borisov Stephan L Haas Ines Gockel Michael Vieth Guillaume Piessen Hakan Alakus Yogesh Vashist Carina Pereira Michael Knapp Vitalia Schüller Alexander Quaas Heike I Grabsch Jessica Trautmann Ewa Malecka-Wojciesko Anna Mokrowiecka Jan Speller Andreas Mayr Julia Schröder Axel M Hillmer Dominik Heider Florian Lordick Ángeles Pérez-Aísa Rafael Campo Jesús Espinel Fernando Geijo Concha Thomson Luis Bujanda Federico Sopeña Ángel Lanas María Pellisé Claudia Pauligk Thorsten Oliver Goetze Carolin Zelck Julian Reingruber Emadeldin Hassanin Peter Elbe Sandra Alsabeah Mats Lindblad Magnus Nilsson Nicole Kreuser René Thieme Francesca Tavano Roberta Pastorino Dario Arzani Roberto Persiani Jin-On Jung Henrik Nienhüser Katja Ott Ralf R Schumann Oliver Kumpf Susen Burock Volker Arndt Anna Jakubowska Małgorzta Ławniczak Victor Moreno Vicente Martín Manolis Kogevinas Marina Pollán Justyna Dąbrowska Antonio Salas Olivier Cussenot Anne Boland-Auge Delphine Daian Jean-Francois Deleuze Erika Salvi Maris Teder-Laving Gianluca Tomasello Margherita Ratti Chiara Senti Valli De Re Agostino Steffan Arnulf H Hölscher Katharina Messerle Christiane Josephine Bruns Armands Sīviņš Inga Bogdanova Jurgita Skieceviciene Justina Arstikyte Markus Moehler Hauke Lang Peter P Grimminger Martin Kruschewski Nikolaos Vassos Claus Schildberg Philipp Lingohr Karsten Ridwelski Hans Lippert Nadine Fricker Peter Krawitz Per Hoffmann Markus M Nöthen Lothar Veits Jakob R Izbicki Adrianna Mostowska Federico Martinón-Torres Daniele Cusi Rolf Adolfsson Geraldine Cancel-Tassin Aksana Höblinger Ernst Rodermann Monika Ludwig Gisela Keller Andres Metspalu Hermann Brenner Joerg Heller Markus Neef Michael Schepke Franz Ludwig Dumoulin Lutz Hamann Renato Cannizzaro Michele Ghidini Dominik Plaßmann Michael Geppert Peter Malfertheiner Olivier Glehen Tomasz Skoczylas Marek Majewski Jan Lubiński Orazio Palmieri Stefania Boccia Anna Latiano Nuria Aragones Thomas Schmidt Mário Dinis-Ribeiro Rui Medeiros Salah-Eddin Al-Batran Mārcis Leja Juozas Institute of Human Genetics University of Marburg Marburg Germany Institute of Human Genetics University of Bonn School of Medicine & University Hospital Bonn Bonn Germany. Institute for Genomic Statistics and Bioinformatics Medical Faculty University of Bonn Bonn Germany. Institute of Human Genetics University of Marburg Marburg Germany. Department of Upper GI Diseases Karolinska University Hospital and Unit of Gastroenterology and Rheumatology Karolinska Institutet Stockholm Sweden. Department of Visceral Transplant Thoracic and Vascular Surgery University Hospital Leipzig Leipzig Germany. Institute for Pathology Friedrich-Alexander-University Erlangen-Nuernberg Klinikum Bayreuth Bayreuth Germany. Department of Digestive and Oncological Surgery Claude Huriez Hospital CHU Lille Lille France. Department of General Visceral Cancer and Transplant Surgery University of Cologne Cologne Germany. Department of General Visceral and Thoracic Surgery University Medical Center Hamburg-Eppendorf University of Hamburg Hamburg Germany Centre for Surgical Oncology Medias Klinikum Burghausen Burghausen Germany. Molecular Oncology and Viral Pathology Group IPO Porto Research Center (CI-IPOP) Portuguese Institute of Oncology of Porto (IPO Porto) 4200-072 Porto Portugal Porto Comprehensive Cancer Center & RISE @ CI-IPO University of Porto 4200-450 Porto Portugal. Institute of Medical Biometrics Informatics and Epidemiology (IMBIE) Medical Faculty University of Bonn Bonn Germany. Institute of Pathology University Hospital Cologne Medical Faculty University of Cologne Germany. Department of Pathology GROW School for Oncology and Developmental Biology Maastricht University Medical Center Maastricht the Netherlands Pathology and Data Analytics Leeds Institute of Medical Research at St James's University of Leeds Leeds United Kingdom. Department of Digestive Tract Diseases Medical University of Lodz Lodz Poland. Department of Mathematics and Computer Science Unive

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A data Mining Analysis of Asthma Risk Factors

A Data Mining Analysis of Asthma Risk Factors

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International Conference on Applied Computing and Information Technology/International Conference on Computational science and Intelligence (ACIT-CSI)

作者： Alma Pochini Ben M. Williams Hasanboy M. Isomitdinov Gongzhu Hu Departments of Finance Law & Departments of Mathematics Data Mining Graduate Certificate Program Department of Economics Department of Computer Science Central Michigan University Michigan USA

Asthma is a chronic inflammatory disease of the airways. Although causes of asthma may directly related to environment factors such as dust mites, pollens, cold air, etc.,we would like to find out if demographic, social and behavior factors also play a role. In this paper, we present a study of the behavioral rick factors in relation to people getting asthma. This study applies data mining techniques to the 2013 Behavioral Risk Factor Surveillance System (BRFSS) dataset of over 490,000 observations with 336 variables. The results reveal some relationships between some of these variables and asthma that may help asthma prevention.

关键词： Logistics Diseases data mining Neural networks Regression tree analysis

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Automated, high throughput exploration of process–structure–property relationships using the MapReduce paradigm

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Materials Discovery 2015年 1卷 21-28页

作者： Wodo, Olga Zola, Jaroslaw Sarath Pokuri, Balaji Sesha Du, Pengfei Ganapathysubramanian, Baskar University at Buffalo Materials Design and Innovation Department Buffalo United States University at Buffalo Mechanical and Aerospace Engineering Department Buffalo United States University at Buffalo Computational and Data-Enabled Science and Engineering Program Buffalo United States University at Buffalo Computer Science and Engineering Department Buffalo United States University at Buffalo Biomedical Informatics Department Buffalo United States Iowa State University Mechanical Engineering Department Ames United States Iowa State University Electrical and Computer Engineering Department Ames United States

The microstructure of a material intimately affects the performance of a device made from this material. The microstructure, in turn, is affected by the processing pathway used to fabricate the device. This forms the process–structure–property triangle that is central to material science. There has been increasing interest to comprehensively understand and subsequently exploit process–structure–property (PSP) relationships to design processing pathways that result in tailored microstructures exhibiting optimal properties. However, unraveling process–structure–property relationships usually requires systematic and tedious combinatorial search of process and system variables to identify the microstructures that are produced. This is further complicated by the necessity to interrogate the properties of the huge set of corresponding microstructures. Motivated by this challenge, we focus on developing a generic methodology to establish and explore PSP pathways. We leverage recent advances in high performance computing (HPC) and high throughput computing (HTC) with the premise that a domain expert should be able to focus on domain specific PSP problems while the highly specialized HPC/HTC knowledge needed to approach such problems should be hidden from the domain expert. Our hypothesis is that PSP exploration can be naturally formulated in terms of a standard paradigm in cloud computing, namely the MapReduce programming model. We show how reformulating PSP exploration into a MapReduce workflow enables us to take advantage of advances in cloud computing while requiring minimal specialized knowledge of HPC. We illustrate this generic approach by exploring PSP relationships relevant to organic photovoltaics. We focus on identifying microstructural traits that correlate with specific properties of the photovoltaic process: exciton generation, exciton dissociation and charge generation. We integrate a graph-based microstructure characterization tool, and a microstructure-aware

关键词： Drift diffusion model High throughput analysis MapReduce paradigm Organic solar cells Process–structure–processing Thermal annealing

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Publisher Correction: Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability

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Nature communications 2021年第1期12卷 995页

作者： Vasiliki Lagou Reedik Mägi Jouke- Jan Hottenga Harald Grallert John R B Perry Nabila Bouatia-Naji Letizia Marullo Denis Rybin Rick Jansen Josine L Min Antigone S Dimas Anna Ulrich Liudmila Zudina Jesper R Gådin Longda Jiang Alessia Faggian Amélie Bonnefond Joao Fadista Maria G Stathopoulou Aaron Isaacs Sara M Willems Pau Navarro Toshiko Tanaka Anne U Jackson May E Montasser Jeff R O'Connell Lawrence F Bielak Rebecca J Webster Richa Saxena Jeanette M Stafford Beate St Pourcain Nicholas J Timpson Perttu Salo So-Youn Shin Najaf Amin Albert V Smith Guo Li Niek Verweij Anuj Goel Ian Ford Paul C D Johnson Toby Johnson Karen Kapur Gudmar Thorleifsson Rona J Strawbridge Laura J Rasmussen-Torvik Tõnu Esko Evelin Mihailov Tove Fall Ross M Fraser Anubha Mahajan Stavroula Kanoni Vilmantas Giedraitis Marcus E Kleber Günther Silbernagel Julia Meyer Martina Müller-Nurasyid Andrea Ganna Antti-Pekka Sarin Loic Yengo Dmitry Shungin Jian'an Luan Momoko Horikoshi Ping An Serena Sanna Yvonne Boettcher N William Rayner Ilja M Nolte Tatijana Zemunik Erik van Iperen Peter Kovacs Nicholas D Hastie Sarah H Wild Stela McLachlan Susan Campbell Ozren Polasek Olga Carlson Josephine Egan Wieland Kiess Gonneke Willemsen Johanna Kuusisto Markku Laakso Maria Dimitriou Andrew A Hicks Rainer Rauramaa Stefania Bandinelli Barbara Thorand Yongmei Liu Iva Miljkovic Lars Lind Alex Doney Markus Perola Aroon Hingorani Mika Kivimaki Meena Kumari Amanda J Bennett Christopher J Groves Christian Herder Heikki A Koistinen Leena Kinnunen Ulf de Faire Stephan J L Bakker Matti Uusitupa Colin N A Palmer J Wouter Jukema Naveed Sattar Anneli Pouta Harold Snieder Eric Boerwinkle James S Pankow Patrik K Magnusson Ulrika Krus Chiara Scapoli Eco J C N de Geus Matthias Blüher Bruce H R Wolffenbuttel Michael A Province Goncalo R Abecasis James B Meigs G Kees Hovingh Jaana Lindström James F Wilson Alan F Wright George V Dedoussis Stefan R Bornstein Peter E H Schwarz Anke Tönjes Bernhard R Winkelmann Bernhard O Boehm Winfried März Andres Metspalu Jackie F Price Panos Delouk Wellcome Centre for Human Genetics University of Oxford Oxford UK. Department of Microbiology and Immunology Laboratory of Adaptive Immunity KU Leuven Leuven Belgium. VIB-KU Leuven Center for Brain and Disease Research Leuven Belgium. Estonian Genome Centre Institute of Genomics University of Tartu Tartu Estonia. Department of Biological Psychology Vrije Universiteit Amsterdam The Netherlands. Amsterdam Public Health Research Institute VU University medical center Amsterdam The Netherlands. Research Unit of Molecular Epidemiology Institute of Epidemiology Helmholtz Zentrum München Research Center for Environmental Health Neuherberg Germany. German Center for Diabetes Research (DZD München-Neuherberg Germany. MRC Epidemiology Unit University of Cambridge School of Clinical Medicine Cambridge UK. University of Lille Nord de France Lille France. CNRS UMR8199 Institut Pasteur de Lille Lille France. INSERM U970 Paris Cardiovascular Research Center PARCC 75006 Paris France. Department of Life Sciences and Biotechnology University of Ferrara Ferrara Italy. Boston University Data Coordinating Center Boston MA USA. Department of Psychiatry VU University Medical Center Amsterdam The Netherlands. MRC Integrative Epidemiology Unit University of Bristol Bristol UK. Bristol Medical School University of Bristol Bristol UK. Institute for Bioinnovation Biomedical Sciences Research Center Al. Fleming Vari Greece. Department of Medicine Imperial College London London UK. Cardiovascular Medicine Unit Center for Molecular Medicine Department of Medicine Karolinska Institutet Stockholm Karolinska University Hospital Solna Sweden. Institute for Molecular Bioscience The University of Queensland Brisbane QLD 4072 Australia. Department of Epidemiology Research Statens Serum Institut Copenhagen Denmark. Université de Lorraine IGE-PCV F-54000 Nancy France. Genetic Epidemiology Unit Department of Epidemiology Erasmus Medical Center Rotterdam the Netherlands. CAR

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