Institution
Utrecht University
Education•Utrecht, Utrecht, Netherlands•
About: Utrecht University is a education organization based out in Utrecht, Utrecht, Netherlands. It is known for research contribution in the topics: Population & Context (language use). The organization has 58176 authors who have published 139351 publications receiving 6214282 citations. The organization is also known as: UU & Universiteit Utrecht.
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TL;DR: The relation between three dimensional Chern-Simons gauge theories and two dimensional sigma models involves a certain natural map from H4(BG,Z) to H3(G,Z), where Z2 graded chiral algebras (or chiral superalgesas) in two dimensions are related to topological spin theories.
Abstract: We show that three dimensional Chern-Simons gauge theories with a compact gauge groupG (not necessarily connected or simply connected) can be classified by the integer cohomology groupH4(BG,Z). In a similar way, possible Wess-Zumino interactions of such a groupG are classified byH3(G,Z). The relation between three dimensional Chern-Simons gauge theory and two dimensional sigma models involves a certain natural map fromH4(BG,Z) toH3(G,Z). We generalize this correspondence to topological “spin” theories, which are defined on three manifolds with spin structure, and are related to what might be calledZ2 graded chiral algebras (or chiral superalgebras) in two dimensions. Finally we discuss in some detail the formulation of these topological gauge theories for the special case of a finite group, establishing links with two dimensional (holomorphic) orbifold models.
1,103 citations
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University of Michigan1, Clark University2, Scripps Institution of Oceanography3, Trent University4, University of Colorado Boulder5, University of Bristol6, University of Alaska Fairbanks7, Cooperative Institute for Research in Environmental Sciences8, Centre national de la recherche scientifique9, Uppsala University10, Institute of Arctic and Alpine Research11, University of Innsbruck12, Utrecht University13, University of Zurich14, Dresden University of Technology15, University of Alberta16, University of Oslo17
TL;DR: It is found that glaciers in the Arctic, Canada, Alaska, coastal Greenland, the southern Andes, and high-mountain Asia contribute approximately as much melt water as the ice sheets themselves: 260 billion tons per year between 2003 and 2009, accounting for about 30% of the observed sea-level rise during that period.
Abstract: Glaciers distinct from the Greenland and Antarctic Ice Sheets are losing large amounts of water to the world's oceans. However, estimates of their contribution to sea level rise disagree. We provide a consensus estimate by standardizing existing, and creating new, mass-budget estimates from satellite gravimetry and altimetry and from local glaciological records. In many regions, local measurements are more negative than satellite-based estimates. All regions lost mass during 2003-2009, with the largest losses from Arctic Canada, Alaska, coastal Greenland, the southern Andes, and high-mountain Asia, but there was little loss from glaciers in Antarctica. Over this period, the global mass budget was -259 ± 28 gigatons per year, equivalent to the combined loss from both ice sheets and accounting for 29 ± 13% of the observed sea level rise.
1,102 citations
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Broad Institute1, Harvard University2, University of Chicago3, Duke University4, Lawrence Berkeley National Laboratory5, Massachusetts Institute of Technology6, Ontario Institute for Cancer Research7, University of Florida8, University of Liège9, Memorial Sloan Kettering Cancer Center10, Utrecht University11, University of Cambridge12, National Institutes of Health13, University of California, Berkeley14, Cold Spring Harbor Laboratory15, University of Connecticut16, Washington University in St. Louis17, Affymetrix18, Indiana University19, University of California, Santa Cruz20, Rutgers University21, University of California, San Diego22, Fred Hutchinson Cancer Research Center23
TL;DR: The Drosophila Encyclopedia of DNA Elements (modENCODE) project as mentioned in this paper has been used to map transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines.
Abstract: To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation.
1,102 citations
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University of Sheffield1, Southampton General Hospital2, Garvan Institute of Medical Research3, Radiation Effects Research Foundation4, Keil5, McGill University6, Geneva College7, Fred Hutchinson Cancer Research Center8, University of Gothenburg9, Mayo Clinic10, Erasmus University Rotterdam11, University of Melbourne12, University of Manchester13, University of York14, Utrecht University15, University of Cincinnati Academic Health Center16, University of Tokyo17
TL;DR: BMD and clinical risk factors predict hip and other osteoporotic fractures with higher specificity and sensitivity than either alone and provide the basis for the integrated use of validated Clinical risk factors in men and women to aid in fracture risk prediction.
Abstract: BMD and clinical risk factors predict hip and other osteoporotic fractures. The combination of clinical risk factors and BMD provide higher specificity and sensitivity than either alone. To develop a risk assessment tool based on clinical risk factors (CRFs) with and without BMD. Nine population-based studies were studied in which BMD and CRFs were documented at baseline. Poisson regression models were developed for hip fracture and other osteoporotic fractures, with and without hip BMD. Fracture risk was expressed as gradient of risk (GR, risk ratio/SD change in risk score). CRFs alone predicted hip fracture with a GR of 2.1/SD at the age of 50 years and decreased with age. The use of BMD alone provided a higher GR (3.7/SD), and was improved further with the combined use of CRFs and BMD (4.2/SD). For other osteoporotic fractures, the GRs were lower than for hip fracture. The GR with CRFs alone was 1.4/SD at the age of 50 years, similar to that provided by BMD (GR = 1.4/SD) and was not markedly increased by the combination (GR = 1.4/SD). The performance characteristics of clinical risk factors with and without BMD were validated in eleven independent population-based cohorts. The models developed provide the basis for the integrated use of validated clinical risk factors in men and women to aid in fracture risk prediction.
1,102 citations
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TL;DR: The various applications of neural networks in image processing are categorised into a novel two-dimensional taxonomy for image processing algorithms and their specific conditions are discussed in detail.
1,100 citations
Authors
Showing all 58756 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ronald C. Kessler | 274 | 1332 | 328983 |
Albert Hofman | 267 | 2530 | 321405 |
Douglas G. Altman | 253 | 1001 | 680344 |
Hans Clevers | 199 | 793 | 169673 |
Craig B. Thompson | 195 | 557 | 173172 |
Patrick W. Serruys | 186 | 2427 | 173210 |
Ruedi Aebersold | 182 | 879 | 141881 |
Dennis S. Charney | 179 | 802 | 122408 |
Kenneth S. Kendler | 177 | 1327 | 142251 |
Jean Louis Vincent | 161 | 1667 | 163721 |
Vilmundur Gudnason | 159 | 837 | 123802 |
Monique M.B. Breteler | 159 | 546 | 93762 |
Lex M. Bouter | 158 | 767 | 103034 |
Elio Riboli | 158 | 1136 | 110499 |
Roy F. Baumeister | 157 | 650 | 132987 |