检索结果-内蒙古大学图书馆

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

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

来源：评论

学校读者我要写书评

暂无评论

Exchanging large data object in multi-agent systems

引用

AIP Conference Proceedings 2016年第1期1761卷

作者： Wathiq Laftah Al-Yaseen Zulaiha Ali Othman Mohd Zakree Ahmad Nazri 1Data Mining and Optimization Research Group (DMO) Centre for Artificial Intelligence Technology (CAIT) School of Computer Science Faculty of Information Science and Technology Universiti Kebangsaan Malaysia (UKM) 43600 Bandar Baru Bangi Malaysia 2Al-Furat Al-Awsat Technical University Iraq

One of the Business Intelligent solutions that is currently in use is the Multi-Agent System (MAS). Communication is one of the most important elements in MAS, especially for exchanging large low level data between distributed agents (physically). The Agent Communication Language in JADE has been offered as a secure method for sending data, whereby the data is defined as an object. However, the object cannot be used to send data to another agent in a different location. Therefore, the aim of this paper was to propose a method for the exchange of large low level data as an object by creating a proxy agent known as a Delivery Agent, which temporarily imitates the Receiver Agent. The results showed that the proposed method is able to send large-sized data. The experiments were conducted using 16 datasets ranging from 100,000 to 7 million instances. However, for the proposed method, the RAM and the CPU machine had to be slightly increased for the Receiver Agent, but the latency time was not significantly different compared to the use of the Java Socket method (non-agent and less secure). With such results, it was concluded that the proposed method can be used to securely send large data between agents.

关键词：

来源：评论

学校读者我要写书评

暂无评论

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

引用

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：

来源：评论

学校读者我要写书评

暂无评论

Erratum: 'Searches for Continuous Gravitational Waves from Nine Young Supernova Remnants' (2015, ApJ, 813, 39)

引用

The Astrophysical Journal 2021年第2期918卷

作者： J. Aasi B. P. Abbott R. Abbott T. Abbott M. R. Abernathy F. Acernese K. Ackley C. Adams T. Adams P. Addesso R. X. Adhikari V. Adya C. Affeldt M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar A. Ain P. Ajith A. Alemic B. Allen A. Allocca D. Amariutei S. B. Anderson W. G. Anderson K. Arai M. C. Araya C. Arceneaux J. S. Areeda S. Ast S. M. Aston P. Astone P. Aufmuth C. Aulbert B. E. Aylott S. Babak P. T. Baker F. Baldaccini G. Ballardin S. W. Ballmer J. C. Barayoga M. Barbet S. Barclay B. C. Barish D. Barker F. Barone B. Barr L. Barsotti M. Barsuglia J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti J. C. Batch Th. S. Bauer C. Baune V. Bavigadda B. Behnke M. Bejger C. Belczynski A. S. Bell C. Bell M. Benacquista J. Bergman G. Bergmann C. P. L. Berry D. Bersanetti A. Bertolini J. Betzwieser S. Bhagwat R. Bhandare I. A. Bilenko G. Billingsley J. Birch S. Biscans M. Bitossi C. Biwer M. A. Bizouard J. K. Blackburn L. Blackburn C. D. Blair D. Blair S. Bloemen O. Bock T. P. Bodiya M. Boer G. Bogaert P. Bojtos C. Bond F. Bondu L. Bonelli R. Bonnand R. Bork M. Born V. Boschi Sukanta Bose C. Bradaschia P. R. Brady V. B. Braginsky M. Branchesi J. E. Brau T. Briant D. O. Bridges A. Brillet M. Brinkmann V. Brisson A. F. Brooks D. A. Brown D. D. Brown N. M. Brown S. Buchman A. Buikema T. Bulik H. J. Bulten A. Buonanno D. Buskulic C. Buy L. Cadonati G. Cagnoli J. Calderón Bustillo E. Calloni J. B. Camp K. C. Cannon J. Cao C. D. Capano F. Carbognani S. Caride S. Caudill M. Cavaglià F. Cavalier R. Cavalieri G. Cella C. Cepeda E. Cesarini R. Chakraborty T. Chalermsongsak S. J. Chamberlin S. Chao P. Charlton E. Chassande-Mottin Y. Chen A. Chincarini A. Chiummo H. S. Cho M. Cho J. H. Chow N. Christensen Q. Chu S. Chua S. Chung G. Ciani F. Clara J. A. Clark F. Cleva E. Coccia P.-F. Cohadon A. Colla C. Collette M. Colombini L. Cominsky M. Constancio A. Conte D. Cook T. R. Corbitt N. Cornish A. Corsi C. A. Costa M. W. Coughlin J.-P. Coulon S. Countryman P. Couvares D. M. Coward M. J. Cowart D. C. Coyne R. Coyne K. Craig J. D. E. Crei LIGO California Institute of Technology Pasadena CA 91125 USA Louisiana State University Baton Rouge LA 70803 USA Università di Salerno Fisciano I-84084 Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte Sant'Angelo I-80126 Napoli Italy University of Florida Gainesville FL 32611 USA LIGO Livingston Observatory Livingston LA 70754 USA Cardiff University Cardiff CF24 3AA UK Laboratoire d'Annecy-le-Vieux de Physique des Particules (LAPP) Université de Savoie CNRS/IN2P3 F-74941 Annecy-le-Vieux France University of Sannio at Benevento I-82100 Benevento Italy and INFN Sezione di Napoli I-80100 Napoli Italy Experimental Group Albert-Einstein-Institut Max-Planck-Institut für Gravitationsphysik D-30167 Hannover Germany Nikhef Science Park 1098 XG Amsterdam The Netherlands LIGO Massachusetts Institute of Technology Cambridge MA 02139 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos SP Brazil Inter-University Centre for Astronomy and Astrophysics Pune 411007 India International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bangalore 560012 India Syracuse University Syracuse NY 13244 USA Data Analysis Group Albert-Einstein-Institut Max-Planck-Institut für Gravitationsphysik D-30167 Hannover Germany University of Wisconsin-Milwaukee Milwaukee WI 53201 USA Università di Siena I-53100 Siena Italy INFN Sezione di Pisa I-56127 Pisa Italy The University of Mississippi University MS 38677 USA California State University Fullerton Fullerton CA 92831 USA Leibniz Universität Hannover D-30167 Hannover Germany INFN Sezione di Roma I-00185 Roma Italy University of Birmingham Birmingham B15 2TT UK Albert-Einstein-Institut Max-Planck-Institut für Gravitationsphysik D-14476 Golm Germany Montana State University Bozeman MT 59717 USA Università di Perugia I-06123 Perugia Italy INFN Sezione di Perugia I-06123 Perugia Italy European Gravitational Observatory (EGO) I-56021 Cascina Pis

来源：评论

学校读者我要写书评

暂无评论

3D garment segmentation based on semi-supervised learning method

引用

Journal of Fiber Bioengineering and Informatics 2015年第4期8卷 657-665页

作者： Huang, Mian Liu, Li Liu, Ruomei Fu, Xiaodong Liu, Lijun Yunnan Provincial Key Laboratory of Computer Technology Application Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China National Engineering Research Center of Digital Life State-Province Joint Laboratory of Digital Home Interactive Applications School of Data and Computer Science Sun Yat-sen University Guangzhou China

In this paper, we propose a semi-supervised learning method to simultaneous segmentation and labeling of parts in 3D garments. The key idea in this work is to analyze 3D garments using semi-supervised learning method which can label parts in various 3D garments. We first develop an objective function based on Conditional Random Field (CRF) model to learn the prior knowledge of garment components from a set of training examples. Then, we exploit an effective training method that utilizes JointBoost classifiers based on the co-analysis for garments. And we modify the JointBoost to automatically cluster the segmented components without requiring manual parameter tuning. The purpose of our method is to relieve the manual segmentation and labeling of components in 3D garment collections. Finally, the experimental results show the performance of our proposed method is effective. © 2015 Binary information Press & Textile Bioengineering and Informatics Society December 2015.

关键词： Random processes

来源：评论

学校读者我要写书评

暂无评论

A survey of major techniques of clothing in vision

引用

Journal of Fiber Bioengineering and Informatics 2015年第4期8卷 725-732页

作者： Huang, Dongyan Liu, Li Fu, Xiaodong Liu, Lijun Huang, Qingsong Yunnan Provincial Key Laboratory of Computer Technology Application Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China National Engineering Research Center of Digital Life State-Province Joint Laboratory of Digital Home Interactive Applications School of Data and Computer Science Sun Yat-sen University Guangzhou China

Clothing in vision plays an important role in many applications of digital clothing, virtual fitting, fashion design and manufacturing. The research of clothing in vision is full of technical challenges, such as background detection and features extraction. In this paper, we introduce the latest remarkable works of clothing in vision area, including clothing segmentation, clothing recognition and clothing retrieval. There are many remarkable advances on the basis of the predecessors' achievements in the three fields. Firstly, we provide an overview of the techniques for clothing segmentation and clothing recognition. Then, we introduce and analyze the representative works on clothing retrieval. Finally, we forecast broader application prospect and future research work of clothing in vision. © 2015 Binary information Press & Textile Bioengineering and Informatics Society December 2015.

关键词： Textiles

来源：评论

学校读者我要写书评

暂无评论

The Gaia-ESO Survey: The N/O abundance ratio in the milky way

arXiv

引用

arXiv 2018年

作者： Magrini, L. Vincenzo, F. Randich, S. Pancino, E. Casali, G. Tautvaišiene, G. Drazdauskas, A. Mikolaitis, S. Minkeviciute, R. Stonkute, E. Chorniy, Y. Bagdonas, V. Kordopatis, G. Friel, E. Roccatagliata, V. Jiménez-Esteban, F.M. Gilmore, G. Vallenari, A. Bensby, T. Bragaglia, A. Korn, A.J. Lanzafame, A.C. Smiljanic, R. Bayo, A. Casey, A.R. Costado, M.T. Franciosini, E. Hourihane, A. Jofre Lewis, J. Monaco, L. Morbidelli, L. Sacco, G. Worley, C. INAF-Osservatorio Astrofisico di Arcetri Largo E. Fermi 5 FirenzeI-50125 Italy Centre for Astrophysics Research University of Hertfordshire College Lane HatfieldAL109AB United Kingdom Space Science Data Center Agenzia Spaziale Italiana Via del Politecnico SNC Roma00133 Italy Dipartimento di Fisica e Astronomia Universita Degli Studi di Firenze Via Sansone 1 Sesto FiorentinoI-50019 Italy Institute of Theoretical Physics and Astronomy Vilnius University Sauletekio av. 3 Vilnius10257 Lithuania Universite Cote d'Azur Observatoire de la Cote d'Azur CNRS Laboratoire Lagrange France Department of Astronomy Indiana University BloomingtonIN United States ESAC Campus Camino Bajo del Castillo s/n Villanueva de la Canada MadridE-28692 Spain Institute of Astronomy University of Cambridge Madingley Road CB30HA United Kingdom INAF Osservatorio Astronomico di Padova Vicolo dell'sservatorio 5 Padova35122 Italy Lund Observatory Department of Astronomy and Theoretical Physics Box 43 LundSE-22100 Sweden INAF Osservatorio Astronomico di Bologna via Gobetti 93/3 Bologna40129 Italy Department of Physics and Astronomy Uppsala University Box 516 UppsalaSE-75120 Sweden Dipartimento di Fisica e Astronomia Sezione Astrofisica Universita di Catania via S. Sofia 78 Catania95123 Italy Nicolaus Copernicus Astronomical Center Polish Academy of Sciences ul. Bartycka 18 Warsaw00-716 Poland Instituto de Fisica y Astronomiia Universidad de Valparaiiso Chile Nucleo Milenio Formacion Planetaria-NPF Universidad de Valparaiso Av. Gran Bretana 1111 Valparaiso Chile Monash Centre for Astrophysics School of Physics & Astronomy Monash University ClaytonVIC3800 Australia Monash Faculty of Information Technology Monash University ClaytonVIC3800 Australia Departamento de Didactica Universidad de Cadiz Puerto Real Cadiz11519 Nucleo de Astronomia Facultad de Ingenieria Universidad Diego Portales Av. Ejercito 441 Santiago Chile Departamento de Ciencias Fisicas Un

Context. The abundance ratio N/O is a useful tool to study the interplay of galactic processes, e.g. star formation efficiency, time-scale of infall and outflow loading factor Aims. We aim to trace log(N/O) versus [Fe/H] in the Milky Way and to compare it with a set of chemical evolution models to understand the role of infall, outflow and star formation efficiency in the building-up of the Galactic disc. *** use the abundances from idr2-3, idr4, idr5 data releases of the Gaia-ESO Survey both for Galactic field and open cluster *** determine membership and average composition of open clusters and we separate thin and thick disc field *** consider the effect of mixing in the abundance of N in giant stars. We compute a grid of chemical evolution models, suited to reproduce the main features of our Galaxy, exploring the effects of the star formation efficiency, the infall time-scale and the differential outflow. Results. With our samples, we map the metallicity range-0.6≤[Fe/H]≤0.3 with a corresponding-1.2≤logN/O≤-0.2, where the secondary production of N dominates. Thanks to the wide range of Galactocentric distances covered by our samples, we can distinguish the behaviour of log(N/O) in different parts of the Galaxy. Conclusions. Our spatially resolved results allow us to distinguish differences in the evolution of N/O with Galactocentric radius. Comparing the data with our models, we can characterise the radial regions of our Galaxy. A shorter infall time-scale is needed in the inner regions, while the outer regions need a longer infall time-scale, coupled with a higher star formation efficiency. We compare our results with nebular abundances obtained in MaNGA galaxies, finding in our Galaxy a much wider range of log(N/O) than in integrated observations of external galaxies of similar stellar mass, but similar to the ranges found in studies of individual H ii regions. Copyright © 2018, The Authors. All rights reserved.

关键词： Galaxies

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

Cover Picture: Brownmillerite-type Ca2FeCoO5as a Practicable Oxygen Evolution Reaction Catalyst (ChemSusChem 14/2017)

引用

ChemSusChem 2017年第14期10卷 2840-2840页

作者： Dr. Etsushi Tsuji Dr. Teruki Motohashi Hiroyuki Noda Dr. Damian Kowalski Dr. Yoshitaka Aoki Dr. Hajime Tanida Junji Niikura Dr. Yukinori Koyama Dr. Masahiro Mori Dr. Hajime Arai Dr. Tsutomu Ioroi Dr. Naoko Fujiwara Dr. Yoshiharu Uchimoto Dr. Zempachi Ogumi Dr. Hiroki Habazaki Division of Applied Chemistry Faculty of Engineering Hokkaido University Sapporo 060-8628 Japan Department of Chemistry and Biotechnology Tottori University Tottori 680-8550 Japan Department of Materials and Life Chemistry Kanagawa University Yokohama 221-8686 Japan Graduate School of Chemical Sciences and Engineering Hokkaido University Sapporo 060-8628 Japan Office of Society-Academia Collaboration for Innovation Kyoto University Kyoto 611-0011 Japan Present address: Battery Analysis Laboratory Device Analysis Department NISSAN ARC LTD. Kanagawa 237-0061 Japan Present address: Research and Services Division of Materials Data and Integrated System (MaDIS) Center for Materials Research by Information Integration (CMI2) National Institute for Materials Science (NIMS) Ibaraki 305-0047 Japan Present address: Materials Science Research Group Research Institute of Electrochemical Energy Department of Energy and Environment National Institute of Advanced Industrial Science and Technology (AIST) Osaka 563-8577 Japan Present address: School of Materials and Chemical Technology Tokyo Institute of Technology Yokohama 226-8502 Japan National Institute of Advanced Industrial Science and Technology Osaka 563-8577 Japan Graduate School of Human and Environmental Studies Kyoto University Kyoto 606-8501 Japan

来源：评论

学校读者我要写书评

暂无评论

Smart Root Search (SRS): A New Search Algorithm to Investigate Combinatorial Problems

Smart Root Search (SRS): A New Search Algorithm to Investiga...

引用

International Conference on Computational Intelligence, Modelling and Simulation (CSSIM)

作者： Narjes Khatoon Naseri Elankovan Sundararajan Masri Ayob Amin Jula Universiti Kebangsaan Malaysia Bangi Selangor MY Faculty of Information Science and Technology Universiti Kebangsaan Malaysia UKM Bangi Selangor Malaysia Data Mining and Optimization Research Group (DMO) Universiti Kebangsaan Malaysia UKM Bangi Selangor Malaysia

ISBN: (纸本)9781467380843

In recent years researchers have tried to apply Stochastic Algorithms for solving Optimization problems. Some of these algorithms like Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Artificial Immune Systems (AIS) are more known because of their significant abilities in finding optimal solutions of the problems comparing to others. Although these algorithms show many advantages in solving optimization problems, they face some drawbacks affect on their performance. Local optima issues and lack of local search capability are two obvious weaknesses that each of the algorithms confronts at least one. To cope these challenges, in this study, plants' root growth intelligences will be inspired in proposing a novel nature-inspired optimization algorithm called Smart Root Search (SRS). The SRS simulates the extracted intelligent behaviors of plant roots in finding nutrition and water in soil. The proposed algorithm will provide embedded exploitation mechanisms besides quick and effective exploring features for escaping of the trap of local optima, and uses problem-space division. Using partitioned problem search space not only enhances ability of the algorithm to avoid of local optima, but makes it a scalable and flexible method in performing balanced search activities. The algorithm will further demonstrate its high-performance search ability in confronting high-dimensional search-space problems.

关键词： Search problems Optimization Algorithm design and analysis Heuristic algorithms Classification algorithms Hair Soil

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：