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Publisher Correction: Personalized early detection and prevention of breast cancer: ENVISION consensus statement

Nature reviews. Clinical oncology 2020年第11期17卷 716页

作者： Nora Pashayan Antonis C Antoniou Urska Ivanus Laura J Esserman Douglas F Easton David French Gaby Sroczynski Per Hall Jack Cuzick D Gareth Evans Jacques Simard Montserrat Garcia-Closas Rita Schmutzler Odette Wegwarth Paul Pharoah Sowmiya Moorthie Sandrine De Montgolfier Camille Baron Zdenko Herceg Clare Turnbull Corinne Balleyguier Paolo Giorgi Rossi Jelle Wesseling David Ritchie Marc Tischkowitz Mireille Broeders Dan Reisel Andres Metspalu Thomas Callender Harry de Koning Peter Devilee Suzette Delaloge Marjanka K Schmidt Martin Widschwendter Department of Applied Health Research Institute of Epidemiology and Healthcare University College London London UK. Department of Public Health and Primary Care University of Cambridge Cambridge UK. Epidemiology and Cancer Registry Institute of Oncology Ljubljana Ljubljana Slovenia. Carol Franc Buck Breast Care Center University of California San Francisco CA USA. Division of Psychology & Mental Health School of Health Sciences University of Manchester Manchester UK. Department of Public Health Health Services Research and Health Technology Assessment Institute of Public Health Medical Decision Making and Health Technology Assessment UMIT-University for Health Sciences Medical Informatics and Technology Hall in Tirol Austria. Division of Health Technology Assessment Oncotyrol - Center for Personalized Cancer Medicine Innsbruck Austria. Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden. Department of Oncology Södersjukhuset Stockholm Sweden. Wolfson Institute of Preventive Medicine Barts and The London Centre for Cancer Prevention Queen Mary University of London London UK. Division of Evolution and Genomic Sciences University of Manchester Manchester UK. Genomics Center CHU de Québec - Université Laval Research Center Québec Canada. Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA. Center of Family Breast and Ovarian Cancer University Hospital Cologne Cologne Germany. Max Planck Institute for Human Development Center for Adaptive Rationality Harding Center for Risk Literacy Berlin Germany. Department of Oncology University of Cambridge Cambridge UK. PHG Foundation Cambridge UK. IRIS Institute for Interdisciplinary Research on Social Issues Paris France. Unicancer Paris France. Epigenetic Group International Agency for Research on Cancer (IARC) WHO Lyon France. Division of Genetics and Epidemiology Institute of Cancer Research London UK. Department Medical Imaging

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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Intelligent robotic applied to social development assistant teaching system of autistic children

Intelligent robotic applied to social development assistant ...

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International Symposium on Next-Generation Electronics (ISNE)

作者： Yu-Tzu Wang Yu-Wei Wang Hsien-Ming Wang Department of Electronic Engineering of Chung Yuan Christian University Department of Technology Application and Human Resource Development of National Taiwan Normal University Taoyuan City Taiwan

ISBN: (纸本)9781509024407

The system is provided with humanized user interface and the function of facial recognition, which was completed through the cooperation with the department of Special Education. In order to design and produce Jacky, this system (Figure 3), by ourselves, we actually found out the situation and needs of children with special education. The main function of Jacky (intelligent robot) is to track the face of subject target and then rating how much the subject pay attention to class. we had already finished the commissioning of the system on 9 subject respectively belong to 4 elementary schools, and this research had won the first place of Bio-Medical Electronics Education Consortium 2016 competition. Hope that this research would provide positive effects to autistic children, and help special education teachers on teaching further.

关键词： Robot sensing systems Education Face Face recognition Servomotors Autism

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The Impact of Childhood Deprivation on Employees’ Capacity to Perform at Work and Organizational Well‐Being

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Performance Improvement 2017年第6期56卷

作者： Szufang Chuang Department of Human Resource Development & Performance Technologies Room 302‐J College of Technology Indiana State University 650 Cherry St. Terre Haute IN 47809

This article raises awareness and offers a conceptual framework for the effects of childhood deprivation on adult employees’ performance, as well as organizational and societal well‐being. It provides a comprehensive set of physiological and psychological development‐related variables on childhood deprivation with propositions and practical implication. By examining the nature and causes of childhood deprivation, emotional limitations associated with adult workers’ disruptive attitude, behavior, and performance can be better interpreted and improved.

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

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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 Michigan Ann Arbor

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： Genome-wide association studies Obesity

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Designing health information skills eLearning interventions for health sciences students in Tanzania: Application of information problem-solving (IPS) model

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Annals of Global Health 2016年第3期82卷 587-588页

作者： H. Haruna X. Hu Department of Human Resource for Health Development Ministry of Health and Social Welfare Dar Es Salaam Tanzania Division of Information & Technology Studies Faculty of Education the University of Hong Kong Hong Kong

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Author Correction: Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic

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Nature communications 2020年第1期11卷 6292页

作者： Zhu Liu Philippe Ciais Zhu Deng Ruixue Lei Steven J Davis Sha Feng Bo Zheng Duo Cui Xinyu Dou Biqing Zhu Rui Guo Piyu Ke Taochun Sun Chenxi Lu Pan He Yuan Wang Xu Yue Yilong Wang Yadong Lei Hao Zhou Zhaonan Cai Yuhui Wu Runtao Guo Tingxuan Han Jinjun Xue Olivier Boucher Eulalie Boucher Frédéric Chevallier Katsumasa Tanaka Yiming Wei Haiwang Zhong Chongqing Kang Ning Zhang Bin Chen Fengming Xi Miaomiao Liu François-Marie Bréon Yonglong Lu Qiang Zhang Dabo Guan Peng Gong Daniel M Kammen Kebin He Hans Joachim Schellnhuber Department of Earth System Science Tsinghua University Beijing China. zhuliu@***. Laboratoire des Sciences du Climat et de l'Environnement LSCE CEA CNRS UVSQ Centre d'Etudes Orme de Merisiers Gif-sur-Yvette France. Department of Earth System Science Tsinghua University Beijing China. Department of Meteorology and Atmospheric Science The Pennsylvania State University University Park PA USA. Department of Earth System Science University of California Irvine 3232Croul Hall Irvine CA USA. Division of Geological and Planetary Sciences California Institute of Technology Pasadena CA USA. Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA. Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science and Technology Nanjing China. Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China. Climate Change Research Center Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China. Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China. School of Environment Tsinghua University Beijing China. School of Mathematical School Tsinghua University Beijing China. Department of Mathematical Sciences Tsinghua University Beijing China. Center of Hubei Cooperative Innovation for Emissions Trading System Wuhan China. Faculty of Management and Economics Kunming University of Science and Technology 13 Kunming China. Economic Research Centre of Nagoya University Furo-cho Chikusa-ku Nagoya Japan. Institut Pierre-Simon Laplace Sorbonne Université/CNRS Paris France. Université Paris Dauphine Place du Maréchal de Lattre de Tassigny 75016 Paris France.

A Correction to this paper has been published: https://***/10.1038/s41467-020-20254-5.

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Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits (vol 50, pg 1412, 2018)

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NATURE GENETICS 2018年第12期50卷 1755-1755页

作者： Evangelou, Evangelos Warren, Helen R. Mosen-Ansorena, David Mifsud, Borbala Pazoki, Raha Gao, He Ntritsos, Georgios Dimou, Niki Cabrera, Claudia P. Karaman, Ibrahim Fu Liang Ng Evangelou, Marina Witkowska, Katarzyna Tzanis, Evan Hellwege, Jacklyn N. Giri, Ayush Edwards, Digna R. Velez Sun, Yan V. Cho, Kelly Gaziano, J. Michael Wilson, Peter W. F. Tsao, Philip S. Kovesdy, Csaba P. Esko, Tonu Magi, Reedik Milani, Lili Almgren, Peter Boutin, Thibaud Debette, Stephanie Ding, Jun Giulianini, Franco Holliday, Elizabeth G. Jackson, Anne U. Li-Gao, Ruifang Lin, Wei-Yu Luan, Jian'an Mangino, Massimo Oldmeadow, Christopher Prins, Bram Peter Qian, Yong Sargurupremraj, Muralidharan Shah, Nabi Surendran, Praveen Theriault, Sebastien Verweij, Niek Willems, Sara M. Zhao, Jing-Hua Amouyel, Philippe Connell, John de Mutsert, Renee Doney, Alex S. F. Farrall, Martin Menni, Cristina Morris, Andrew D. Noordam, Raymond Pare, Guillaume Poulter, Neil R. Shields, Denis C. Stanton, Alice Thom, Simon Abecasis, Goncalo Amin, Najaf Arking, Dan E. Ayers, Kristin L. Barbieri, Caterina M. Batini, Chiara Bis, Joshua C. Blake, Tineka Bochud, Murielle Boehnke, Michael Boerwinkle, Eric Boomsma, Dorret I. Bottinger, Erwin P. Braund, Peter S. Brumat, Marco Campbell, Archie Campbell, Harry Chakravarti, Aravinda Chambers, John C. Chauhan, Ganesh Ciullo, Marina Cocca, Massimiliano Collins, Francis Cordell, Heather J. Davies, Gail de Borst, Martin H. de Geus, Eco J. Deary, Ian J. Deelen, Joris Del Greco, Fabiola M. Demirkale, Cumhur Yusuf Dorr, Marcus Ehret, Georg B. Elosua, Roberto Enroth, Stefan Erzurumluoglu, A. Mesut Ferreira, Teresa Franberg, Mattias Franco, Oscar H. Gandin, Ilaria Gasparini, Paolo Giedraitis, Vilmantas Gieger, Christian Girotto, Giorgia Goel, Anuj Gow, Alan J. Gudnason, Vilmundur Guo, Xiuqing Gyllensten, Ulf Hamsten, Anders Harris, Tamara B. Harris, Sarah E. Hartman, Catharina A. Havulinna, Aki S. Hicks, Andrew A. Hofer, Edith Hofman, Albert Hottenga, Jouke-Jan Huffman, Jennifer E. Hwang, Shih-Jen Ingelsson, Erik James, Alan Jansen Department of Epidemiology and Biostatistics Imperial College London London UK Department of Hygiene and Epidemiology University of Ioannina Medical School Ioannina Greece William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK National Institute for Health Research Barts Cardiovascular Biomedical Research Center Queen Mary University of London London UK MRC-PHE Centre for Environment and Health Imperial College London London UK Department of Mathematics Imperial College London London UK Division of Epidemiology Department of Medicine Institute for Medicine and Public Health Vanderbilt Genetics Institute Vanderbilt University Medical Center Tennessee Valley Healthcare System (626)/Vanderbilt University Nashville TN USA Vanderbilt Genetics Institute Vanderbilt Epidemiology Center Department of Obstetrics and Gynecology Vanderbilt University Medical Center Tennessee Valley Health Systems VA Nashville TN USA Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA Department of Biomedical Informatics Emory University School of Medicine Atlanta GA USA Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) VA Boston Healthcare System Boston MA USA Division of Aging Department of Medicine Brigham and Women’s Hospital Department of Medicine Harvard Medical School Boston MA USA Atlanta VAMC and Emory Clinical Cardiovascular Research Institute Atlanta GA USA VA Palo Alto Health Care System Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA Nephrology Section Memphis VA Medical Center and University of Tennessee Health Science Center Memphis TN USA Estonian Genome Center University of Tartu Tartu Estonia Program in Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA Department Clinical Sciences Malmö Lund University Malmö Sweden MRC Human Genetics Un

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

关键词： Cardiovascular diseases Genome informatics Genome-wide association studies

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Arsenic occurrence in groundwater sources of Lake Victoria basin in Tanzania 6th

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6th International Congress on Arsenic in the Environment, AS 2016

作者： Ijumulana, J. Mtalo, F. Bhattacharya, P. Bundschuh, J. KTH-International Groundwater Arsenic Research Group Department of Sustainable Development Environmental Science and Technology KTH Royal Institute of Technology Stockholm Sweden Department of Water Resource Engineering University of Dar es Salaam Dar es Salaam Tanzania United Republic of International Center for Applied Climate Science University of Southern Queensland ToowoombaQLD Australia Faculty of Health Engineering and Sciences University of Southern Queensland ToowoombaQLD Australia

ISBN: (纸本)9781138029415

Increasing naturally occurring toxic substances are becoming threat to many safer groundwater sources worldwide. Their detection, scale of occurrence and removal procedures requires sophisticated tools. This study employs geostatistical methods to study the extent of arsenic occurrence over Lake Victoria basin in Tanzania. Water samples are randomly taken at village level from available drinking water source, tested at water quality laboratory to quantify levels of As concentrations. The study further uses fuzzy logics to identify areas with no, low, moderate and high As concentrations based on the World Health Organization (WHO) guidelines and Tanzania Bureau of Standards (TBS) standards of 0.01 mg/L and 0.05 mg/L As respectively. The result of this study is vital to understanding severity of As contamination and prediction of potential human health effects dwelling within these regions. © 2016 Taylor & Francis Group, London.

关键词： Arsenic

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Occurrence of arsenic in groundwater, soil and sediments in Tanzania 6th

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6th International Congress on Arsenic in the Environment, AS 2016

作者： Ligate, F.J. Ijumulana, J. Mtalo, F. Bhattacharya, P. Bundschuh, J. KTH-International Groundwater Arsenic Research Group Department of Sustainable Development Environmental Science and Technology KTH Royal Institute of Technology Stockholm Sweden Department of Water Resource Engineering University of Dar es Salaam Dar es Salaam Tanzania United Republic of International Center for Applied Climate Science University of Southern Queensland ToowoombaQLD Australia Faculty of Health Engineering and Sciences University of Southern Queensland ToowoombaQLD Australia

ISBN: (纸本)9781138029415

Tanzania is among the sub-Sahara African countries where most of the rural populations use ground water for drinking and other household activities. The presence of elevated concentrations of arsenic in some parts of Tanzania is possibly related to both geogenic and anthropogenic sources. From its origin in the bed-rock, inorganic As enters into soil where its concentration depends on the parent rock, climate, forms of As, redox conditions of the soils as well as anthropogenic activities. The interactions of water with rocks and sediments together with environmental deposition have resulted into high concentration in groundwater. Microbial activities in soil and sediments may produce the methylated form of As which are volatile in nature and can re-enter the atmosphere and ultimately be re converted back to inorganic forms. Exposure to elevated concentration of arsenic causes arsenicosis. Further investigations are needed in order to come up with a comprehensive report concerning the occurrence and distribution of As in Tanzania. © 2016 Taylor & Francis Group, London.

关键词： Arsenic

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Birla milks its employees for the creamiest leaders of the future: Internal talent has a vital role in company development

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human resource Management International Digest 2015年第2期23卷 9-11页

作者： Rana, Geeta Goel, Alok Kumar Department of Management Roorkee Institute of Technology Roorkee India CSIR Human Resource Development Center Ghaziabad India

Purpose This paper aims to describe how Birla creates a strong pipeline of people who are ready to lead the organization in the future. Design/methodology/approach It explains the origins of the group’s global-manufacturing leadership program (GMLP), the form it takes and the results it has achieved. Findings It reveals that the program aims to shape the manufacturing leaders of tomorrow through exposing them to world-class technologies and processes, state-of-the-art research and continuous learning and development opportunities. Practical implications It reveals that of the five GMLP candidates recruited in 2011, three have become independent unit heads, one in China and two in India. Social implications It outlines the company belief that retaining and developing the skills of its existing workforce is at least as important as importing new talent when faced with increasing competition and growing pressure to cut costs in its main markets. Originality/value It demonstrates that the program is designed to ensure that each participant is able to understand and anticipate customer needs, influence colleagues without too openly expressing authority and develop and communicate the company’s long-term vision.

关键词： Leadership development Manufacturing Multinationals

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