Institution
University of Würzburg
Education•Wurzburg, Bayern, Germany•
About: University of Würzburg is a education organization based out in Wurzburg, Bayern, Germany. It is known for research contribution in the topics: Population & CAS Registry Number. The organization has 31437 authors who have published 62203 publications receiving 2337033 citations. The organization is also known as: Julius-Maximilians-Universität Würzburg & Würzburg University.
Topics: Population, CAS Registry Number, Immune system, Gene, T cell
Papers published on a yearly basis
Papers
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TL;DR: PTCLs can be diagnosed reliably by experienced hematopathologists, but immunophenotyping is absolutely necessary, and an increased ability to distinguish T-lymphocyte subsets is needed in order to better subclassify the P TCLs for therapeutic and prognostic purposes.
418 citations
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University of Cambridge1, Monash University2, Centre national de la recherche scientifique3, University of Bonn4, Harish-Chandra Research Institute5, University of Paris6, University of Turin7, Center for Theoretical Studies, University of Miami8, KEK9, University of Barcelona10, Spanish National Research Council11, University of Montpellier12, Stanford University13, CERN14, University of Edinburgh15, Fermilab16, ETH Zurich17, University of Southampton18, University of Zaragoza19, University of Würzburg20, Moscow State University21, Durham University22, Sapienza University of Rome23, Paul Scherrer Institute24
TL;DR: Extensions of the conventions of the first SLHA are proposed to include various generalisations: the minimal supersymmetric standard model with violation of CP, R-parity, and flavour, as well as the simplest next-to-minimal model.
418 citations
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TL;DR: It is estimated that the breast cancer lifetime risks for the5% of BRCA1 carriers at lowest risk are 28%–50% compared to 81%–100% for the 5% at highest risk, and the ovarian cancer lifetime risk is 63% or higher, based on the known cancer risk-modifying loci.
Abstract: BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7 x 10(-8), HR = 1.14, 95% CI: 1.09-1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4 x 10(-8), HR = 1.27, 95% CI: 1.17-1.38) and 4q32.3 (rs4691139, P = 3.4 x 10(-8), HR = 1.20, 95% CI: 1.17-1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2 x 10(-4)). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%-50% compared to 81%-100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers.
417 citations
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TL;DR: The ATLAS trigger system as discussed by the authors selects events by rapidly identifying signatures of muon, electron, photon, tau lepton, jet, and B meson candidates, as well as using global event signatures, such as missing transverse energy.
Abstract: Proton-proton collisions at root s = 7 TeV and heavy ion collisions at root(NN)-N-s = 2.76 TeV were produced by the LHC and recorded using the ATLAS experiment's trigger system in 2010. The LHC is designed with a maximum bunch crossing rate of 40 MHz and the ATLAS trigger system is designed to record approximately 200 of these per second. The trigger system selects events by rapidly identifying signatures of muon, electron, photon, tau lepton, jet, and B meson candidates, as well as using global event signatures, such as missing transverse energy. An overview of the ATLAS trigger system, the evolution of the system during 2010 and the performance of the trigger system components and selections based on the 2010 collision data are shown. A brief outline of plans for the trigger system in 2011 is presented.
417 citations
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TL;DR: The relative contributions of explicitly measured attitudes and general restraint standards are investigated as two distinct, but complementing constructs that are dependent on control resources.
Abstract: Recent theories in social psychology suggest that explicitly measured attitudes are particularly valuable for the prediction of deliberate, controlled behaviour. In contrast, implicitly measured attitudes are assumed to be more important for the prediction of less controlled, more impulsive behaviour. Yet, conclusive evidence for the differential predictive validity of both measures is scarce. We hypothesized that limitations of different control resources would lead to functionally equivalent effects. In Study 1, cognitive capacity moderated the predictive validity of both explicit and implicit attitude measures in a choice task. Self-regulatory resources led to similar patterns for eating (Study 2) and drinking behaviour (Study 3). In addition to the predictive validity of implicit and explicit attitude measures, in Study 3 we more closely investigated the relative contributions of explicitly measured attitudes and general restraint standards as two distinct, but complementing constructs that are dependent on control resources.
417 citations
Authors
Showing all 31653 results
Name | H-index | Papers | Citations |
---|---|---|---|
Peer Bork | 206 | 697 | 245427 |
Cyrus Cooper | 204 | 1869 | 206782 |
D. M. Strom | 176 | 3167 | 194314 |
George P. Chrousos | 169 | 1612 | 120752 |
David A. Bennett | 167 | 1142 | 109844 |
Marc W. Kirschner | 162 | 457 | 102145 |
Josef M. Penninger | 154 | 700 | 107295 |
William A. Catterall | 154 | 536 | 83561 |
Rui Zhang | 151 | 2625 | 107917 |
Niels Birbaumer | 142 | 835 | 77853 |
Kim Nasmyth | 142 | 294 | 59231 |
James J. Gross | 139 | 529 | 100206 |
Michael Schmitt | 134 | 2007 | 114667 |
Jean-Luc Brédas | 134 | 1026 | 85803 |
Alexander Schmidt | 134 | 1185 | 83879 |