检索结果-内蒙古大学图书馆

Corrigendum to “PlantMirnaT: miRNA and mRNA integrated analysis fully utilizing characteristics of plant sequencing data” [Methods 83 (2015) 80–87]

引用

Methods 2016年 92卷 94-94页

作者： S. Rhee H. Chae S. Kim Department of Computer Science and Engineering Seoul National University Seoul Republic of Korea School of Informatics and Computing Computer Science Department Indiana University Bloomington IN USA Bioinformatics Institute Seoul National University Seoul Republic of Korea Interdisciplinary Program in Bioinformatics Seoul National University Seoul Republic of Korea

来源：评论

学校读者我要写书评

暂无评论

Author Correction: Identification of genetic effects underlying type 2 diabetes in South Asian and European populations

Communications biology

引用

Communications biology 2022年第1期5卷 441页

作者： Marie Loh Weihua Zhang Hong Kiat Ng Katharina Schmid Amel Lamri Lin Tong Meraj Ahmad Jung-Jin Lee Maggie C Y Ng Lauren E Petty Cassandra N Spracklen Fumihiko Takeuchi Md Tariqul Islam Farzana Jasmine Anuradhani Kasturiratne Muhammad Kibriya Karen L Mohlke Guillaume Paré Gauri Prasad Mohammad Shahriar Miao Ling Chee H Janaka de Silva James C Engert Hertzel C Gerstein K Radha Mani Charumathi Sabanayagam Marijana Vujkovic Ananda R Wickremasinghe Tien Yin Wong Chittaranjan S Yajnik Salim Yusuf Habibul Ahsan Dwaipayan Bharadwaj Sonia S Anand Jennifer E Below Michael Boehnke Donald W Bowden Giriraj R Chandak Ching-Yu Cheng Norihiro Kato Anubha Mahajan Xueling Sim Mark I McCarthy Andrew P Morris Jaspal S Kooner Danish Saleheen John C Chambers Lee Kong Chian School of Medicine Nanyang Technological University Singapore 308232 Singapore. Department of Epidemiology and Biostatistics Imperial College London London W2 1PG UK. Department of Cardiology Ealing Hospital London North West Healthcare NHS Trust Middlesex UB1 3HW UK. Institute of Computational Biology Deutsches Forschungszentrum für Gesundheit und Umwelt Helmholtz Zentrum München 85764 Neuherberg Germany. Department of Informatics Technical University of Munich 85748 Garching bei München Neuherberg Germany. Department of Medicine McMaster University Hamilton ON Canada. Population Health Research Institute Hamilton Health Sciences and McMaster University Hamilton ON Canada. The University of Chicago Biological Sciences Division Public Health Sciences 5841 South Maryland Avenue MC2000 Chicago IL 60637 USA. Genomic Research on Complex diseases CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB) Hyderabad India. Translational Medicine and Human Genetics Department of Medicine University of Pennsylvania Philadelphia Pennsylvania USA. Department of Medicine Mayo Hospital Lahore Pakistan. Center for Genomics and Personalized Medicine Research Center for Diabetes Research Wake Forest School of Medicine Winston-Salem NC 37215 USA. Vanderbilt Genetics Institute Division of Genetic Medicine Vanderbilt University Medical Center Nashville TN 37232 USA. Human Genetics Center School of Public Health The University of Texas Health Science Center at Houston Houston TX 77030 USA. Department of Genetics University of North Carolina at Chapel Hill Chapel Hill NC 27599 USA. Department of Biostatistics and Epidemiology University of Massachusetts Amherst MA 01003 USA. Department of Gene Diagnostics and Therapeutics Research Institute National Center for Global Health and Medicine Tokyo Japan. U Chicago Research Bangladesh House#4 Road#2b Sector#4 Uttara Dhaka 1230 Bangladesh. Department of Public Health Faculty of Medicine

来源：评论

学校读者我要写书评

暂无评论

Author Correction: The European Reference Genome Atlas: piloting a decentralised approach to equitable biodiversity genomics

npj biodiversity

引用

npj biodiversity 2024年第1期3卷 31页

作者： Ann M Mc Cartney Giulio Formenti Alice Mouton Diego De Panis Luísa S Marins Henrique G Leitão Genevieve Diedericks Joseph Kirangwa Marco Morselli Judit Salces-Ortiz Nuria Escudero Alessio Iannucci Chiara Natali Hannes Svardal Rosa Fernández Tim De Pooter Geert Joris Mojca Strazisar Jonathan M D Wood Katie E Herron Ole Seehausen Phillip C Watts Felix Shaw Robert P Davey Alice Minotto José M Fernández Astrid Böhne Carla Alegria Tyler Alioto Paulo C Alves Isabel R Amorim Jean-Marc Aury Niclas Backstrom Petr Baldrian Laima Baltrunaite Endre Barta Bertrand BedHom Caroline Belser Johannes Bergsten Laurie Bertrand Helena Bilandija Mahesh Binzer-Panchal Iliana Bista Mark Blaxter Paulo A V Borges Guilherme Borges Dias Mirte Bosse Tom Brown Rémy Bruggmann Elena Buena-Atienza Josephine Burgin Elena Buzan Alessia Cariani Nicolas Casadei Matteo Chiara Sergio Chozas Fedor Čiampor Angelica Crottini Corinne Cruaud Fernando Cruz Love Dalen Alessio De Biase Javier Del Campo Teo Delic Alice B Dennis Martijn F L Derks Maria Angela Diroma Mihajla Djan Simone Duprat Klara Eleftheriadi Philine G D Feulner Jean-François Flot Giobbe Forni Bruno Fosso Pascal Fournier Christine Fournier-Chambrillon Toni Gabaldon Shilpa Garg Carmela Gissi Luca Giupponi Jessica Gomez-Garrido Josefa González Miguel L Grilo Björn Grüning Thomas Guerin Nadege Guiglielmoni Marta Gut Marcel P Haesler Christoph Hahn Balint Halpern Peter W Harrison Julia Heintz Maris Hindrikson Jacob Höglund Kerstin Howe Graham M Hughes Benjamin Istace Mark J Cock Franc Janžekovič Zophonias O Jonsson Sagane Joye-Dind Janne J Koskimäki Boris Krystufek Justyna Kubacka Heiner Kuhl Szilvia Kusza Karine Labadie Meri Lähteenaro Henrik Lantz Anton Lavrinienko Lucas Leclère Ricardo Jorge Lopes Ole Madsen Ghislaine Magdelenat Giulia Magoga Tereza Manousaki Tapio Mappes Joao Pedro Marques Gemma I Martinez Redondo Florian Maumus Shane A McCarthy Hendrik-Jan Megens Jose Melo-Ferreira Sofia L Mendes Matteo Montagna Joao Moreno Mai-Britt Mosbech Mónica Moura Zuzana Musilova Eugene Myers Will J N Genomics Institute University of California Santa Cruz CA USA. anmmccar@ucsc.edu. The Vertebrate Genome Laboratory The Rockefeller University New York NY USA. Department of Biology University of Florence Sesto Fiorentino Italy. InBios-Conservation Genetics Laboratory University of Liege Liege Belgium. Leibniz Institut für Zoo und Wildtierforschung Berlin Germany. Berlin Center for Genomics in Biodiversity Research Berlin Germany. Department of Biology University of Antwerp Antwerp Belgium. Institute of Zoology University of Cologne Cologne Germany. Department of Chemistry Life Sciences and Environmental Sustainability University of Parma Parma Italy. Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra) Barcelona Spain. Naturalis Biodiversity Center Leiden The Netherlands. Neuromics Support Facility VIB Center for Molecular Neurology VIB Antwerp Belgium. Neuromics Support Facility Department of Biomedical Sciences University of Antwerp Antwerp Belgium. Tree of Life Wellcome Sanger Institute Hinxton Cambridge UK. School of Biology and Environmental Science University College Dublin Belfield Ireland. Aquatic Ecology & Evolution Institute of Ecology & Evolution University of Bern Bern Switzerland. Department of Fish Ecology & Evolution Eawag Kastanienbaum Switzerland. Department of Biological and Environmental Science University of Jyvaskyla Jyvaskyla Finland. The Earlham Institute Norwich Research Park Norwich UK. Digital Science London UK. Barcelona Supercomputing Center Spanish National Bioinformatics Institute ELIXIR Spain Getafe Spain. Leibniz Institute for the Analysis of Biodiversity Change Museum Koenig Bonn Bonn Germany. CE3C-Centre for Ecology Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute Faculdade de Ciências Universidade de Lisboa Campo Grande Lisboa Portugal. Centro Nacional de Análisis Genómico (CNAG) Barcelona Spain. Universitat de Barcelona (UB) Barcelona Spain. CIBIO C

来源：评论

学校读者我要写书评

暂无评论

IMUNES: Design and implementation temperature and heartbeat sensors in measuring vital sign through watch 4

IMUNES: Design and implementation temperature and heartbeat ...

引用

2014 4th IEEE International Conference on System engineering and Technology, ICSET 2014

作者： Salawasna, Tresna Aglis Priyana, Yoga Setijadi, Ary Electrical Engineering Program School of Electrical Engineering and Informatics Bandung Institute of Technology Ganeca Street No. 10th Bandung40132 Indonesia

ISBN: (纸本)9781479971893

Development of technology will always increasing and end up with many task are able to do something with a simpler way. That way, usually, will be came up with potentially of light illness and continuously accumulate became a big serious one. This systems aim to be constant remainder for user's condition of temperature and heartbeat, so that, the user's temperature and heartbeat will always monitored anytime and anywhere by this device. Temperature measurement is aquiring by infrared sensors which put on forehand and get temperature measurement error data less than 5% comparing to measurement by conventional medical thermometer. whereas heartbeat measurement is aquiring by a couple of infrared and phototransystor and some analog circuit for conditioning electrical signal. The result of heartbeat measurement has an error less than 8% comparing to measurement using pulseoximeter. The two measurement data will be added to watch systems as extra function, so that the measurement activities will not interrupt the user's activity. Next, the measurement data will be synchronized with cloud eHealth server through mediator devices which has android platform, the interconnection between watch and cell phone is complete by bluetooth protocol. © 2014 IEEE.

关键词： Temperature measurement

来源：评论

学校读者我要写书评

暂无评论

Metadata Correction: Importance-Performance Analysis of Personal Health Records in Taiwan: A Web-Based Survey

引用

Journal of medical Internet research 2017年第6期19卷 e209页

作者： Hsiao-Hsien Rau Yi-Syuan Wu Chi-Ming Chu Fu-Chung Wang Min-Huei Hsu Chi-Wen Chang Kang-Hua Chen Yen-Liang Lee Senyeong Kao Yu-Lung Chiu Hsyien-Chia Wen Anis Fuad Chien-Yeh Hsu Hung-Wen Chiu Graduate Institute of Biomedical Informatics Taipei Medical University Taipei Taiwan. Administration Department Healthconn Corp Taipei Taiwan. Institute of Medical Informatics Department of Computer Science of Information Engineering National Cheng Kung University Tainan Taiwan. School Of Public Health National Defense Medical Center Taiepi Taiwan. National Health Insurance Administration Ministry of Health and Welfare Taiepi Taiwan. School of Nursing College of Medicine Chang Gung University Linkou Taiwan. Division of Endocrinology Department of Pediatrics Linkou Chang Gung Memorial Hospital Linkou Taiwan. Internet of Things Laboratory Chunghwa Telecom Laboratories TaoYuen Taiwan. School of Health Care Administration Taipei Medical University Taipei Taiwan. Department of Biostatistics Epidemiology and Population Health Faculty of Medicine Universitas Gadjah Mada Yogyakarta Indonesia. Department of Information Management National Taipei University of Nursing and Health Sciences Taipei Taiwan. Master Program in Global Health and Development Taipei Medical University Taipei Taiwan.

[This corrects the article DOI: .].

关键词：

来源：评论

学校读者我要写书评

暂无评论

Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals (vol 52, pg 1314, 2020)

引用

NATURE GENETICS 2021年第5期53卷 762-762页

作者： Surendran, Praveen Feofanova, Elena V. Lahrouchi, Najim Ntalla, Ioanna Karthikeyan, Savita Cook, James Chen, Lingyan Mifsud, Borbala Yao, Chen Kraja, Aldi T. Cartwright, James H. Hellwege, Jacklyn N. Giri, Ayush Tragante, Vinicius Thorleifsson, Gudmar Liu, Dajiang J. Prins, Bram P. Stewart, Isobel D. Cabrera, Claudia P. Eales, James M. Akbarov, Artur Auer, Paul L. Bielak, Lawrence F. Bis, Joshua C. Braithwaite, Vickie S. Brody, Jennifer A. Daw, E. Warwick Warren, Helen R. Drenos, Fotios Nielsen, Sune Fallgaard Faul, Jessica D. Fauman, Eric B. Fava, Cristiano Ferreira, Teresa Foley, Christopher N. Franceschini, Nora Gao, He Giannakopoulou, Olga Giulianini, Franco Gudbjartsson, Daniel F. Guo, Xiuqing Harris, Sarah E. Havulinna, Aki S. Helgadottir, Anna Huffman, Jennifer E. Hwang, Shih-Jen Kanoni, Stavroula Kontto, Jukka Larson, Martin G. Li-Gao, Ruifang Lindstrom, Jaana Lotta, Luca A. Lu, Yingchang Luan, Jian'an Mahajan, Anubha Malerba, Giovanni Masca, Nicholas G. D. Mei, Hao Menni, Cristina Mook-Kanamori, Dennis O. Mosen-Ansorena, David Muller-Nurasyid, Martina Pare, Guillaume Paul, Dirk S. Perola, Markus Poveda, Alaitz Rauramaa, Rainer Richard, Melissa Richardson, Tom G. Sepulveda, Nuno Sim, Xueling Smith, Albert V. Smith, Jennifer A. Staley, James R. Stanakova, Alena Sulem, Patrick Theriault, Sebastien Thorsteinsdottir, Unnur Trompet, Stella Varga, Tibor V. Velez Edwards, Digna R. Veronesi, Giovanni Weiss, Stefan Willems, Sara M. Yao, Jie Young, Robin Yu, Bing Zhang, Weihua Zhao, Jing-Hua Zhao, Wei Zhao, Wei Evangelou, Evangelos Aeschbacher, Stefanie Asllanaj, Eralda Blankenberg, Stefan Bonnycastle, Lori L. Bork-Jensen, Jette Brandslund, Ivan Braund, Peter S. Burgess, Stephen Cho, Kelly Christensen, Cramer Connell, John de Mutsert, Renee Dominiczak, Anna F. Dorr, Marcus Eiriksdottir, Gudny Farmaki, Aliki-Eleni Gaziano, J. Michael Grarup, Niels Grove, Megan L. Hallmans, Goran Hansen, Torben Have, Christian T. Heiss, Gerardo Jorgensen, Marit E. Jousilahti, Pekka Kajantie, Eero Kamat, Mihir Karajamaki, AnneMari Kar British Heart Foundation Cardiovascular Epidemiology Unit Department of Public Health and Primary Care University of Cambridge Cambridge UK British Heart Foundation Centre of Research Excellence University of Cambridge Cambridge UK Health Data Research UK Cambridge Wellcome Genome Campus and University of Cambridge Cambridge UK Rutherford Fund Fellow Department of Public Health and Primary Care University of Cambridge Cambridge UK MRC Biostatistics Unit University of Cambridge Cambridge UK National Institute for Health Research Cambridge Biomedical Research Centre University of Cambridge and Cambridge University Hospitals Cambridge UK MRC Integrative Epidemiology Unit (IEU) Population Health Sciences Bristol Medical School University of Bristol Bristol UK Robertson Centre for Biostatistics University of Glasgow Glasgow UK MRC Epidemiology Unit University of Cambridge School of Clinical Medicine Cambridge UK Department of Immunology and Inflammation Imperial College London London UK Centre for Non-communicable Disease Research (CNCR) Dhaka Bangladesh National Institute for Health Research (NIHR) Blood and Transplant Research Unit (BTRU) in Donor Health and Genomics at the University of Cambridge Cambridge UK Department of Human Genetics Wellcome Sanger Institute Wellcome Genome Campus Hinxton Cambridge UK Department of Biostatistics and Epidemiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Center for Non-Communicable Diseases Karachi Pakistan Department of Genetics Novo Nordisk Research Centre Oxford Oxford UK Human Genetics Center Department of Epidemiology Human Genetics and Environmental Sciences School of Public Health University of Texas Health Science Center at Houston Houston TX USA Human Genome Sequencing Center Baylor College of Medicine Houston TX USA Program in Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA Cardiovascular Research Center Center for Genomic Medicine

来源：评论

学校读者我要写书评

暂无评论

Bioinformatics strategies for identifying regions of epigenetic deregulation associated with aberrant transcript splicing and RNA-editing 6

Bioinformatics strategies for identifying regions of epigene...

引用

6th International Conference on Bioinformatics Models, Methods and Algorithms, BIOinformatics 2015

作者： Champion, Mia D. Hlady, Ryan A. Yan, Huihuang Evans, Jared Nie, Jeff Lee, Jeong-Heon Bogenberger, James Nandakumar, Kannabiran Davila, Jaime Moore, Raymond Nair, Asha O'Brien, Daniel Zhu, Yuan-Xiao Kortum, K. Martin Ordog, Tamas Zhang, Zhiguo Joseph, Richard W. Stewart, A. Keith Kocher, Jean-Pierre Jonasch, Eric Robertson, Keith D. Tibes, Raoul Ho, Thai H. Division of Biomedical Statistics and Informatics Mayo Clinic ScottsdaleAZ United States Department of Molecular Pharmacology and Experimental Therapeutics Mayo Clinic RochesterMN United States Division of Biomedical Statistics and Informatics Mayo Clinic RochesterMN United States Translational Program Center for Individualized Medicine Mayo Clinic RochesterMN United States Division of Hematology and Oncology Mayo Clinic ScottsdaleAZ United States Department of Physiology and Biomedical Engineering Mayo Clinic RochesterMN United States Department of Biochemistry and Molecular Biology Mayo Clinic RochesterMN United States Division of Hematology and Oncology Mayo Clinic JacksonvilleFL United States Department of Genitourinary Medical Oncology University of Texas MD Anderson Cancer Center HoustonTX United States

ISBN: (纸本)9789897580703

Epigenetic modifications are associated with the regulation of co/post-transcriptional processing and differential transcript isoforms are known to be important during cancer progression. It remains unclear how disruptions of chromatin-based modifications contribute to tumorigenesis and how this knowledge can be leveraged to develop more potent treatment strategies that target specific isoforms or other products of the co/post-transcriptional regulation pathway. Rapid developments in all areas of next-generation sequencing (DNA, RNA-seq, ChIP-seq, Methyl-CpG, etc.) have provided new opportunities to develop novel integration and data-mining approaches, and also allows for exciting hypothesis driven bioinformatics and computational studies. Here, we present a program that we developed and summarize the results of applying our methods to analyze datasets from patient matched tumor or normal (T/N) paired samples, as well as cell lines that were either sensitive or resistant (S/R) to treatment with an anti-cancer drug, 5-Azacytidine (http://***/projects/chiprnaseqpro/). We discuss additional options for user-defined approaches and general guidelines for simultaneously analyzing and annotating epigenetic and RNA-seq datasets in order to identify and rank significant regions of epigenetic deregulation associated with aberrant splicing and RNA-editing.

关键词： RNA

来源：评论

学校读者我要写书评

暂无评论

Using Bipartite Graphs for 3D Cardiac Model Retrieval

Using Bipartite Graphs for 3D Cardiac Model Retrieval

引用

Annual IEEE Symposium on Computer-Based Medical Systems

作者： Leila C.C. Bergamasco Hellyan Oliveira Helton Bíscaro Harry Wechsler Fátima L.S. Nunes Polytechnic School - Graduate Program in Electrical Engineering University of Sao Paulo São Paulo SP Brasil Laboratory of Health Informatics Applications University of Sao Paulo São Paulo SP Brasil Department of Computer Science George Mason University Fairfax VA USA

Three-dimensional models have been used to aid medical diagnoses, using images generated by modalities like Magnetic Resonance Imaging. They can provide a more complete vision of objects since their depth is taken into account. Content-based Image Retrieval (CBIR) has also been used to aid the diagnosis. One important step in Three-dimensional CBIR (Model Retrieva) systems is the comparison between two models by using a set of features extracted and stored in a database. In this paper we present a novel method to compare two models, using the Bipartite graphs technique, with the aim to improve the retrieval precision. This technique retrieves 3D medical models of the left ventricle in order to aid the diagnosis of Congestive Heart Failure. Results showed that the novel method improved the precision by 10% when compared to the Similarity Function of Euclidean and Manhattan distance. These results confirmed that bipartite graph techniques can be used to improve the accuracy of Model Retrieval systems.

关键词： Solid modeling Three-dimensional displays Computational modeling Medical diagnostic imaging Feature extraction Bipartite graph

来源：评论

学校读者我要写书评

暂无评论

An ubiquitous service-oriented architecture for urban sensing

An ubiquitous service-oriented architecture for urban sensin...

引用

Workshop on Collaborative Agents, Research and Development, CARE 2014 and Workshop on Agents, Virtual Societies and Analytics, AVSA 2014 Held as Part of 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014

作者： Rolim, Carlos O Rossetto, Anubis G Leithardt, Valderi R.Q. Borges, Guilherme A Dos Santos, Tatiana F.M Souza, Adriano M Geyer, Cl Á Udio F.R Institute of Informatics Federal University of Rio Grande do Sul Brazil Brazil Postgraduate Program in Production Engineering Federal University of Santa Maria Brazil

ISBN: (纸本)9783662462409

In the transformation from traditional to smart cities, there is an increasing trend around the world towards intelligent dynamic infrastructures that provide citizens with new services that can improve their quality of life and fulfill the criteria of energy efficiency and sustainability. In the light of this, an important challenge is how to enable citizens and cities to promote the sensing of data with regard to a number of different factors. This paper outlines the early stages of our research which is concerned with an ubiquitous service-oriented architecture for urban sensing called UrboSenti. The proposed approach differs from other sensing plat-forms since it provides a set of services to collect data from several sources and assists in the development of new sensing applications. In addition, our model encompasses all the sensing activities, ranging from the collection of data to the generation of reports about events in the city. © Springer-Verlag Berlin Heidelberg 2015.

关键词： Smart city

来源：评论

学校读者我要写书评

暂无评论

Performance Evaluation of Hypervisors for HPC Applications

Performance Evaluation of Hypervisors for HPC Applications

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： David Beserra Felipe Oliveira Jean Araujo Felipe Fernandes Alberto Araújo Patrícia Endo Paulo Maciel Edward David Moreno Graduate Program in Computer Science University of Sergipe Aracaju Brazil Academic Unit of Garanhuns Federal Rural University of Pernambuco Garanhuns Brazil Informatics Center Federal University of Pernambuco Recife Brazil Graduate in Systems and Computing Military Institute of Engineering Rio de Janeiro Brazil University of Pernambuco Caruaru Brazil

ISBN: (纸本)9781479986989

High Performance Computing (HPC) aggregates computing power in order to solve large and complex problems in different knowledge areas. Nowadays, HPC users can utilize virtualized infrastructures as a low-cost alternative to deploy their applications. However, virtualization brings some challenges for HPC, specially in regard to overhead caused by hyper visors. In this work, our main goal is to analyze the performance of two hyper visors (KVM and Virtual Box) under HPC activities, considering full virtualization, and Para virtualization approaches. We used the HPC Challenge Benchmark (HPCC) to evaluate processor, RAM, inter-process communication and network communication performance. Our results show KVM in Para virtualization mode has a similar performance of a native cluster.

关键词： Virtualization Virtual machine monitors Bandwidth Benchmark testing Random access memory Performance evaluation Kernel

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：