Institution
University of Minnesota
Education•Minneapolis, Minnesota, United States•
About: University of Minnesota is a education organization based out in Minneapolis, Minnesota, United States. It is known for research contribution in the topics: Population & Transplantation. The organization has 117432 authors who have published 257986 publications receiving 11944239 citations. The organization is also known as: University of Minnesota, Twin Cities & University of Minnesota-Twin Cities.
Topics: Population, Transplantation, Poison control, Health care, Cancer
Papers published on a yearly basis
Papers
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TL;DR: This final part discusses fault diagnosis methods that are based on historic process knowledge that need to be addressed for the successful design and implementation of practical intelligent supervisory control systems for the process industries.
1,902 citations
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TL;DR: Lower rates of CHD events among women in the hormone group in the final years of HERS did not persist during additional years of follow-up, and hormone therapy did not reduce risk of cardiovascular events in women with CHD.
Abstract: 1.22); HERS II, 1.00 (95% CI, 0.77-1.29); and overall, 0.99 (0.84-1.17). The overall RHs were similar after adjustment for potential confounders and differential use of statins between treatment groups (RH, 0.97; 95% CI, 0.82-1.14), and in analyses restricted to women who were adherent to randomized treatment assignment (RH, 0.96; 95% CI, 0.77-1.19). Conclusions Lower rates of CHD events among women in the hormone group in the final years of HERS did not persist during additional years of follow-up. After 6.8 years, hormone therapy did not reduce risk of cardiovascular events in women with CHD. Postmenopausal hormone therapy should not be used to reduce risk for CHD events in women with CHD.
1,902 citations
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Andrew P. Morris1, Benjamin F. Voight2, Benjamin F. Voight3, Tanya M. Teslovich4 +229 more•Institutions (53)
TL;DR: This article conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent, and identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association.
Abstract: To extend understanding of the genetic architecture and molecular basis of type 2 diabetes (T2D), we conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent. We identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association. Genome-wide analyses of these data are consistent with a long tail of additional common variant loci explaining much of the variation in susceptibility to T2D. Exploration of the enlarged set of susceptibility loci implicates several processes, including CREBBP-related transcription, adipocytokine signaling and cell cycle regulation, in diabetes pathogenesis.
1,899 citations
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University of Maryland, College Park1, Queen's University2, Cornell University3, University of Minnesota4, Nanyang Technological University5, McKinsey & Company6, Koç University7, Jacobs University Bremen8, University of Minho9, The Chinese University of Hong Kong10, Indian Institute of Management Ahmedabad11, Pontifical Catholic University of Peru12, University of Valencia13, Johannes Kepler University of Linz14, Victoria University of Wellington15, Hungarian Academy of Sciences16, National and Kapodistrian University of Athens17, La Trobe University18, University of Melbourne19, Sungkyunkwan University20, ESSEC Business School21, University of San Diego22, Katholieke Universiteit Leuven23, University of Patras24, Human Sciences Research Council25, ODESSA26, University of Tartu27, Norwegian School of Economics28, University of Koblenz and Landau29, University of Sussex30, University of Sindh31, Gakushuin University32, University of Groningen33, University of Tokyo34
TL;DR: The differences across cultures in the enforcement of conformity may reflect their specific histories and advances knowledge that can foster cross-cultural understanding in a world of increasing global interdependence and has implications for modeling cultural change.
Abstract: With data from 33 nations, we illustrate the differences between cultures that are tight (have many strong norms and a low tolerance of deviant behavior) versus loose (have weak social norms and a high tolerance of deviant behavior). Tightness-looseness is part of a complex, loosely integrated multilevel system that comprises distal ecological and historical threats (e.g., high population density, resource scarcity, a history of territorial conflict, and disease and environmental threats), broad versus narrow socialization in societal institutions (e.g., autocracy, media regulations), the strength of everyday recurring situations, and micro-level psychological affordances (e.g., prevention self-guides, high regulatory strength, need for structure). This research advances knowledge that can foster cross-cultural understanding in a world of increasing global interdependence and has implications for modeling cultural change.
1,895 citations
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TL;DR: In this article, an enthalpy formulation based fixed grid methodology is developed for the numerical solution of convection-diffusion controlled mushy region phase-change problems, where the basic feature of the proposed method lies in the representation of the latent heat of evolution, and of the flow in the solid-liquid mushy zone, by suitably chosen sources.
1,892 citations
Authors
Showing all 118112 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
David J. Hunter | 213 | 1836 | 207050 |
David Miller | 203 | 2573 | 204840 |
Mark I. McCarthy | 200 | 1028 | 187898 |
Dennis W. Dickson | 191 | 1243 | 148488 |
David H. Weinberg | 183 | 700 | 171424 |
Eric Boerwinkle | 183 | 1321 | 170971 |
John C. Morris | 183 | 1441 | 168413 |
Aaron R. Folsom | 181 | 1118 | 134044 |
H. S. Chen | 179 | 2401 | 178529 |
Jie Zhang | 178 | 4857 | 221720 |
Jasvinder A. Singh | 176 | 2382 | 223370 |
Feng Zhang | 172 | 1278 | 181865 |
Gang Chen | 167 | 3372 | 149819 |
Hongfang Liu | 166 | 2356 | 156290 |