检索结果-内蒙古大学图书馆

Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 765, 2017)

引用

NATURE GENETICS 2018年第5期50卷 765-766页

作者： Turcot, Valerie Lu, Yingchang Highland, Heather M. Schurmann, Claudia Justice, Anne E. Fine, Rebecca S. Bradfield, Jonathan P. Esko, Tonu Giri, Ayush Graff, Mariaelisa Guo, Xiuqing Hendricks, Audrey E. Karaderi, Tugce Lempradl, Adelheid Locke, Adam E. Mahajan, Anubha Marouli, Eirini Sivapalaratnam, Suthesh Young, Kristin L. Alfred, Tamuno Feitosa, Mary F. Masca, Nicholas G. D. Manning, Alisa K. Medina-Gomez, Carolina Mudgal, Poorva Ng, Maggie C. Y. Reiner, Alex P. Vedantam, Sailaja Willems, Sara M. Winkler, Thomas W. Abecasis, Goncalo Aben, Katja K. Alam, Dewan S. Alharthi, Sameer E. Allison, Matthew Amouyel, Philippe Asselbergs, Folkert W. Auer, Paul L. Balkau, Beverley Bang, Lia E. Barroso, Ines Bastarache, Lisa Benn, Marianne Bergmann, Sven Bielak, Lawrence F. Bluher, Matthias Boehnke, Michael Boeing, Heiner Boerwinkle, Eric Boger, Carsten A. Bork-Jensen, Jette Bots, Michiel L. Bottinger, Erwin P. Bowden, Donald W. Brandslund, Ivan Breen, Gerome Brilliant, Murray H. Broer, Linda Brumat, Marco Burt, Amber A. Butterworth, Adam S. Campbell, Peter T. Cappellani, Stefania Carey, David J. Catamo, Eulalia Caulfield, Mark J. Chambers, John C. Chasman, Daniel I. Chen, Yii-Der I. Chowdhury, Rajiv Christensen, Cramer Chu, Audrey Y. Cocca, Massimiliano Collins, Francis S. Cook, James P. Corley, Janie Galbany, Jordi Corominas Cox, Amanda J. Crosslin, David S. Cuellar-Partida, Gabriel D'Eustacchio, Angela Danesh, John Davies, Gail Bakker, Paul I. W. Groot, Mark C. H. Mutsert, Renee Deary, Ian J. Dedoussis, George Demerath, Ellen W. Heijer, Martin Hollander, Anneke I. Ruijter, Hester M. Dennis, Joe G. Denny, Josh C. Angelantonio, Emanuele Drenos, Fotios Du, Mengmeng Dube, Marie-Pierre Dunning, Alison M. Easton, Douglas F. Edwards, Todd L. Ellinghaus, David Ellinor, Patrick T. Elliott, Paul Evangelou, Evangelos Farmaki, Aliki-Eleni Farooqi, I. Sadaf Faul, Jessica D. Fauser, Sascha Feng, Shuang Ferrannini, Ele Ferrieres, Jean Florez, Jose C. Ford, Ian Fornage, Myriam Franco, Oscar H. Franke, Andre Franks, Paul W. Friedrich, Ne 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

Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (***35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity.

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

Preface

引用

Annals of data science 2015年第1期2卷 1-3页

作者： Shi, Yong Tian, Yingjie Research Center on Fictitious Economy & Data Science Chinese Academy of Sciences Beijing China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing China College of Information Science and Technology University of Nebraska at Omaha Omaha USA

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 2018年第5期50卷 766-767页

In the version of this article originally published, one of the two authors with the name Wei Zhao was omitted from the author list and the affiliations for both authors were assigned to the single Wei Zhao in the author list. In addition, the ORCID for Wei Zhao (Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA) was incorrectly assigned to author Wei Zhou. The errors have been corrected in the HTML and PDF versions of the article.

关键词：

来源：评论

学校读者我要写书评

暂无评论

应用数据填充缓解稀疏问题实现个性化推荐

应用数据填充缓解稀疏问题实现个性化推荐

引用

第18届全国信息存储技术学术会议

作者： Xia Jian-xun 夏建勋 Wu Fei 吴非 Xie Chang-sheng 谢长生湖北工程学院计算机与信息科学学院湖北孝感 432000 School of Computer Science and Technology Huazhong University of Science and Technology Hubei Wuhan 430074 武汉国家光电实验室湖北武汉 430074 Key Laboratory of Data Storage Systems Ministry of Education of China Hubei Wuhan 430074 School of Computer Science and Technology Huazhong University of Science and Technology Hubei Wuhan 430074 信息存储系统教育部重点实验室湖北武汉 430074 华中科技大学计算机科学与技术学院湖北武汉 430074 Wuhan National Laboratory for Optoelectronics Hubei Wuhan 430074 School of Computer and Information Science Hubei Engineering University Hubei Xiaogan 432000

协同过滤是到目前为止最成功和应用最广泛的推荐技术，然而，由于用户-项目矩阵极端稀疏导致推荐不精确.针对该问题，本文提出了三种数据填充方法和两种推荐策略.对评分矩阵中未评分数据的三种数据填充方法是：(1)采用行和列数据的加权... 详细信息

协同过滤是到目前为止最成功和应用最广泛的推荐技术，然而，由于用户-项目矩阵极端稀疏导致推荐不精确.针对该问题，本文提出了三种数据填充方法和两种推荐策略.对评分矩阵中未评分数据的三种数据填充方法是：(1)采用行和列数据的加权平均值填充；(2)采用行和列数据的众数的平均值填充；(3)采用行和列数据的中位数的平均值填充.一种推荐策略是直接用填充数据作为预测评分进行推荐；另一种推荐策略是将填充数据后的评分矩阵作为伪评分矩阵应用Pearson相关相似性进行协同过滤推荐.采用GroupLens数据集进行的实验结果表明：上述几种推荐策略均可有效地缓解评分数据稀疏性问题，提高推荐精确度.从平均的预测精确度来看，直接采用三种填充数据作为预测评分进行推荐比传统的基于Pearson相关相似性的协同过滤推荐算法分别提高了3.76％、6.46％和7.63％.；而将填充数据后的评分矩阵作为伪评分矩阵应用Pearson相关相似性进行协同过滤推荐则比传统的基于Pearson相关相似性的协同过滤推荐算法分别提高了6.57％、6.52％和7.60％.

关键词：个性化推荐系统协同过滤数据填充推荐策略

来源：评论

学校读者我要写书评

暂无评论

Forecast of groundwater flowrate in tunnel by integrated approach

Forecast of groundwater flowrate in tunnel by integrated app...

引用

2011 GeoHunan International Conference - Tunnel Management, Emerging Technologies, and Innovation

作者： Yong, Feng Qiang, Sun Lei, Fan School of CiVil Engineering Henan University of Technology Lianhua Street Zhengzhou Henan 450001 China School of Resource and Earth Science China Uiversity of Mining and Technology Sanhuan Southern Road Xuzhou Jiangsu 221116 China Key Laboratory of Geotechnical Mechanics Engineering of Water Resources Ministry Yangtze River Scientific Research Institute Huangpu big-street Wuhan Hubei 430010 China

ISBN: (纸本)9780784476321

When a tunnel comes through a deep beried tunnel in rocks abounding with groundwater, the most important problem is to compute the flowrate of groundwater. The key to compute the flowrate is to choose the right calculation method according to the regional hydro-geological characteristics. Based on the hydro-geological characteristics of the Dashuijing Tunnel, this paper chose three different geological dynamic methods to calculate the groundwater flowrate. The calculation result show that when the permeability reduces, the groundwater flowrate by Railway code formula and Fuluominlang method reduces in the form of index, the groundwater flowrate also reduces with an near-linear decrease by the non-uniform section two-dimensional flow formula. By considering about the non-uniform of the rock stratum in study area, we divided the area into several pieces. According to the three different methods, we forecast the groundwater flowrate in the Dashuijing tunnel by considering about the Railway code formula and the non-uniform section two-dimensional flow formula. © 2011 ASCE.

关键词： Groundwater

来源：评论

学校读者我要写书评

暂无评论

MIND: A black-box energy consumption model for disk arrays

MIND: A black-box energy consumption model for disk arrays

引用

International Green Computing Conference

作者： Zhuo Liu Jian Zhou Weikuan Yu Fei Wu Xiao Qin Changsheng Xie Key Laboratory of Data Storage Systems Ministry of Education Wuhan National Laboratory for Optoelectronics School of Computer Science and Technology Huazhong University of Science and Technology Wuhan Hubei China Department of Computer Science & Software Engineering Aubum University AL USA

Energy consumption is becoming a growing concern in data centers. Many energy-conservation techniques have been proposed to address this problem. However, an integrated method is still needed to evaluate energy efficiency of storage systems and various power conservation techniques. Extensive measurements of different workloads on storage systems are often very time-consuming and require expensive equipments. We have analyzed changing characteristics such as power and performance of stand-alone disks and RAID arrays, and then defined MIND as a black box power model for RAID arrays. MIND is devised to quantitatively measure the power consumption of redundant disk arrays running different workloads in a variety of execution modes. In MIND, we define five modes (idle, standby, and several types of access) and four actions, to precisely characterize power states and changes of RAID arrays. In addition, we develop corresponding metrics for each mode and action, and then integrate the model and a measurement algorithm into a popular trace tool - blktrace. With these features, we are able to run different IO traces on large-scale storage systems with power conservation techniques. Accurate energy consumption and performance statistics are then collected to evaluate energy efficiency of storage system designs and power conservation techniques. Our experiments running both synthetic and real-world workloads on enterprise RAID arrays show that MIND can estimate power consumptions of disk arrays with an error rate less than 2%.

关键词： Power measurement Benchmark testing Throughput

来源：评论

学校读者我要写书评

暂无评论

Cache blocks: An efficient scheme for solid state drives without DRAM cache

Cache blocks: An efficient scheme for solid state drives wit...

引用

IEEE International Conference on Networking, Architecture and Storage

作者： Wu, Fei Chen, Xiang Wan, Jiguang Key Laboratory of Data Storage System School of Computer Science and Technology Huazhong University of Science and Technology Wuhan Hubei 430074 China Division of Data Storage System Wuhan National Laboratory for Optoelectronics China

ISBN: (纸本)9780769541341

Most solid state drives use DRAM for device's cache, the volatile memory provides the I/O Caching ability, and maintains the drives' mapping table (indicates the correspondence between physical unit and logical unit). However, when the drives' power shut down unexpected, the volatile DRAM memory may lose the caching data, which did not have time to write to the drives' storage media, so the dirty data generated. This paper proposes an efficient management scheme for low cost Solid State Drives, with low cost ASIC controller chip, only has internal SRAM memory, and no external DRAM. We use a kind of Cache Blocks: when write requests come, write in these areas first, and write in the sequentially physical place, and the limited internal SRAM for the mapping tables maintaining and data transferring. We propose some efficient methods: 1)using flash memory as cache, 2) page mapping for cache blocks regions, block mapping for data blocks regions, 3) binding two planes operation, 4) using the idle internal plane SRAM as data buffer to improve the I/O performance, without DRAM. So we avoid the dirty data when the power loses unexpected. And this scheme is energy-efficient and low cost. We test the scheme on our own SSD test board, with the pool SRAM size, the I/O performances do not decrease two much, and the random write even better about 20%, compare to the SSD with DRAM. The experiment also shows, this scheme cuts about 21% energy than the DRAM architecture. And it may be adapted in consumer electronics area. © 2010 IEEE.

关键词： Dynamic random access storage

来源：评论

学校读者我要写书评

暂无评论

Cache Blocks: An Efficient Scheme for Solid State Drives without DRAM Cache

Cache Blocks: An Efficient Scheme for Solid State Drives wit...

引用

International Conference on Networking, Architecture, and Storage (NAS)

作者： Fei Wu Xiang Chen Jiguang Wan Key Laboratory of Data Storage System School of Computer Science and Technology Division of Data Storage System Wuhan National Laboratory of Optoelectronics Huazhong University of Science and Technology Wuhan Hubei China

关键词： Random access memory Microprogramming Flash memory Solids Arrays Capacitance Accidents

来源：评论

学校读者我要写书评

暂无评论

A Low Cost and Inner-round Pipelined Design of ECB-AES-256 Crypto Engine for Solid State Disk

A Low Cost and Inner-round Pipelined Design of ECB-AES-256 C...

引用

International Conference on Networking, Architecture, and Storage (NAS)

作者： Fei Wu Liang Wang Jiguang Wan Key Laboratory of Data Storage System School of Computer Science and Technology Division of Data Storage System Wuhan National Laboratory of Optoelectronics Huazhong University of Science and Technology Wuhan Hubei China

Solid-State Disks (SSD) are widely used in government and security departments owing to its faster speed of data access, more durability, more shock and drop, no noise, lower power consumption, lighter weight compared with Magnetic disk. As a result, the demand of security for storing data has been generated. The Advanced Encryption Standard (AES) is today's key data encryption standard for protecting data, but the implementation of high-speed AES encryption engine needs to consume a large number of hardware resources. This paper presents a low-cost and inner-round pipelined ECB-256-AES encryption engine. Through sharing the resources between the AES encryption module and the AES decryption module and using the look-up table for the SubBytes and InvSubBytes operations, the logic resources have been largely reduced; by using loop rolling and inner-round pipelined techniques, a high throughput of encryption and decryption operations is achieved. A 1.986Gbits/s throughput and 232.748MHz clock frequency are achieved using 614 slices of the Xilinx xc6slx45-3fgg484. The simulation results show that the AES crypto design is able to meet the read and write speed of SATA 1.0 interface.

关键词： Encryption Engines Table lookup Random access memory Registers Pipelines

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：