Institution
Shanghai Jiao Tong University
Education•Shanghai, Shanghai, China•
About: Shanghai Jiao Tong University is a education organization based out in Shanghai, Shanghai, China. It is known for research contribution in the topics: Population & Cancer. The organization has 157524 authors who have published 184620 publications receiving 3451038 citations. The organization is also known as: Shanghai Communications University & Shanghai Jiaotong University.
Topics: Population, Cancer, Computer science, Microstructure, Medicine
Papers published on a yearly basis
Papers
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TL;DR: In this article, the nonlinear bending of simply supported, functionally graded nanocomposite plates reinforced by single-walled carbon nanotubes (SWCNTs) subjected to a transverse uniform or sinusoidal load in thermal environments is investigated.
958 citations
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Hospital General Universitario Gregorio Marañón1, South London and Maudsley NHS Foundation Trust2, King's College London3, Seconda Università degli Studi di Napoli4, University of Copenhagen5, Pontifical Catholic University of Chile6, University of South Florida7, Royal College of Surgeons in Ireland8, Charité9, Hofstra University10, RMIT University11, Yale University12, University of Birmingham13, University of Hong Kong14, University of Paris15, University College London16, Nanyang Technological University17, Columbia University18, University of Antioquia19, Katholieke Universiteit Leuven20, Shanghai Jiao Tong University21, Keio University22, University of Barcelona23, University of Brescia24
TL;DR: The interconnectedness of the world made society vulnerable to this infection, but it also provides the infrastructure to address previous system failings by disseminating good practices that can result in sustained, efficient, and equitable delivery of mental health-care delivery.
958 citations
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TL;DR: In this paper, the authors aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry.
Abstract: To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.
954 citations
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TL;DR: In this article, a review incorporating existing literature to understand the overall sorption behavior of heavy metals on biochar adsorbents is presented, and mathematical models are used to evaluate the efficiency of biochar at removing heavy metals.
Abstract: As a low-cost adsorbent, biochar can be used as a low-cost adsorbent for wastewater treatment, particularly with respect to treating heavy metals in wastewater. A number of studies have demonstrated effective removal of heavy metals from aqueous solutions by biochar and, in some cases, proven the superiority of biochars to activated carbons. Among several factors affecting the sorption ability of biochars, feedstock materials play a significant role. This review incorporates existing literature to understand the overall sorption behavior of heavy metals on biochar adsorbents. Depending on the biochar type, heavy metal can be removed by different mechanisms such as complexation, physical sorption, precipitation and electrostatic interactions. Mathematical sorption models can be used to understand the efficiency of biochar at removing heavy metals, and promote the application of biochar technology in water treatment.
951 citations
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TL;DR: In this paper, three psychological antecedents (psychological safety, felt obligation for constructive change, and organization-based self-esteem) uniquely, differentially, and interactively predict supervisory reports of promotive and prohibitive "voice" behavior.
Abstract: The present study demonstrates how three psychological antecedents (psychological safety, felt obligation for constructive change, and organization-based self-esteem) uniquely, differentially, and interactively predict supervisory reports of promotive and prohibitive “voice” behavior. Using a two-wave panel design, we collected data from a sample of 239 employees to examine the hypothesized relationships. Our results showed that felt obligation was most strongly related to subsequent promotive voice; psychological safety was most strongly related to subsequent prohibitive voice; and organization-based self-esteem was reciprocally related to promotive voice. Further, although felt obligation strengthened the positive effect of psychological safety on both forms of voice, organization-based self-esteem weakened this effect for promotive voice. Theoretical and practical implications are discussed.
944 citations
Authors
Showing all 158621 results
Name | H-index | Papers | Citations |
---|---|---|---|
Meir J. Stampfer | 277 | 1414 | 283776 |
Richard A. Flavell | 231 | 1328 | 205119 |
Jie Zhang | 178 | 4857 | 221720 |
Yang Yang | 171 | 2644 | 153049 |
Lei Jiang | 170 | 2244 | 135205 |
Gang Chen | 167 | 3372 | 149819 |
Thomas S. Huang | 146 | 1299 | 101564 |
Barbara J. Sahakian | 145 | 612 | 69190 |
Jean-Laurent Casanova | 144 | 842 | 76173 |
Kuo-Chen Chou | 143 | 487 | 57711 |
Weihong Tan | 140 | 892 | 67151 |
Xin Wu | 139 | 1865 | 109083 |
David Y. Graham | 138 | 1047 | 80886 |
Bin Liu | 138 | 2181 | 87085 |
Jun Chen | 136 | 1856 | 77368 |