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Institution

Utrecht University

EducationUtrecht, 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.


Papers
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Journal ArticleDOI
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

Journal ArticleDOI
17 May 2013-Science
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

Journal ArticleDOI
Sushmita Roy1, Jason Ernst1, Peter V. Kharchenko2, Pouya Kheradpour1, Nicolas Nègre3, Matthew L. Eaton4, Jane M. Landolin5, Christopher A. Bristow1, Lijia Ma3, Michael F. Lin1, Stefan Washietl6, Bradley I. Arshinoff7, Ferhat Ay8, Patrick E. Meyer9, Nicolas Robine10, Nicole L. Washington5, Luisa Di Stefano2, Eugene Berezikov11, Christopher D. Brown3, Rogerio Candeias6, Joseph W. Carlson5, Adrian Carr12, Irwin Jungreis1, Daniel Marbach1, Rachel Sealfon1, Michael Y. Tolstorukov2, Sebastian Will6, Artyom A. Alekseyenko2, Carlo G. Artieri13, Benjamin W. Booth5, Angela N. Brooks14, Qi Dai10, Carrie A. Davis15, Michael O. Duff16, X. Feng, Andrey A. Gorchakov2, Tingting Gu17, Jorja G. Henikoff10, Philipp Kapranov18, Renhua Li13, Heather K. MacAlpine4, John H. Malone13, Aki Minoda5, Jared T. Nordman6, Katsutomo Okamura10, Marc D. Perry7, Sara K. Powell4, Nicole C. Riddle17, Akiko Sakai2, Anastasia Samsonova2, Jeremy E. Sandler5, Yuri B. Schwartz2, Noa Sher6, Rebecca Spokony3, David Sturgill13, Marijke J. van Baren17, Kenneth H. Wan5, Li Yang16, Charles Yu5, Elise A. Feingold13, Peter J. Good13, Mark S. Guyer13, Rebecca F. Lowdon13, Kami Ahmad2, Justen Andrews19, Bonnie Berger1, Steven E. Brenner14, Michael R. Brent17, Lucy Cherbas19, Sarah C. R. Elgin17, Thomas R. Gingeras18, Robert L. Grossman3, Roger A. Hoskins5, Thomas C. Kaufman19, W. J. Kent20, Mitzi I. Kuroda2, Terry L. Orr-Weaver6, Norbert Perrimon2, Vincenzo Pirrotta21, James W. Posakony22, Bing Ren22, Steven Russell12, Peter Cherbas19, Brenton R. Graveley16, Suzanna E. Lewis5, Gos Micklem12, Brian Oliver13, Peter J. Park2, Susan E. Celniker5, Steven Henikoff23, Gary H. Karpen14, Eric C. Lai10, David M. MacAlpine4, Lincoln Stein7, Kevin P. White3, Manolis Kellis1 
24 Dec 2010-Science
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

Journal ArticleDOI
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

Journal ArticleDOI
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

NameH-indexPapersCitations
Ronald C. Kessler2741332328983
Albert Hofman2672530321405
Douglas G. Altman2531001680344
Hans Clevers199793169673
Craig B. Thompson195557173172
Patrick W. Serruys1862427173210
Ruedi Aebersold182879141881
Dennis S. Charney179802122408
Kenneth S. Kendler1771327142251
Jean Louis Vincent1611667163721
Vilmundur Gudnason159837123802
Monique M.B. Breteler15954693762
Lex M. Bouter158767103034
Elio Riboli1581136110499
Roy F. Baumeister157650132987
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023429
20221,014
20218,993
20208,578
20197,862
20187,020