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Institution

University of Würzburg

EducationWurzburg, 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.


Papers
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Journal ArticleDOI
TL;DR: The findings imply that ineffective response inhibition may render people vulnerable to excessive or impulsive behavior in general, but that the manifestation of the manifestation is determined by domain-specific preferences or needs.
Abstract: Objective: Previous research showed a strong relation between response inhibition, overeating and overweight. It was shown that people with ineffective response inhibition are more susceptible to the temptations of palatable food, eat more and are more often overweight or obese. In addition the results of several studies suggest that what needs to be inhibited may be an affect-driven motivation for food. In the present longitudinal study, we therefore investigated the interplay of response inhibition and implicit preferences for snack foods in predicting weight gain. Design: In a sample of predominantly normal weight undergraduate female students, implicit preference for food, response inhibition, and body mass index (BMI) were measured. After 1 year, BMI was measured again. Main Outcome Measures: Weight gain of the participants over a 1-year period. Results and Conclusions: The results strongly confirmed our expectations: participants with strong implicit preferences for snack foods and low inhibitory capacity gained the most weight. These findings imply that ineffective response inhibition may render people vulnerable to excessive or impulsive behavior in general, but that the manifestation thereof is determined by domain-specific preferences or needs.

362 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, Jalal Abdallah3, Ovsat Abdinov4  +2812 moreInstitutions (207)
TL;DR: In this paper, an independent b-tagging algorithm based on the reconstruction of muons inside jets as well as the b tagging algorithm used in the online trigger are also presented.
Abstract: The identification of jets containing b hadrons is important for the physics programme of the ATLAS experiment at the Large Hadron Collider. Several algorithms to identify jets containing b hadrons are described, ranging from those based on the reconstruction of an inclusive secondary vertex or the presence of tracks with large impact parameters to combined tagging algorithms making use of multi-variate discriminants. An independent b-tagging algorithm based on the reconstruction of muons inside jets as well as the b-tagging algorithm used in the online trigger are also presented. The b-jet tagging efficiency, the c-jet tagging efficiency and the mistag rate for light flavour jets in data have been measured with a number of complementary methods. The calibration results are presented as scale factors defined as the ratio of the efficiency (or mistag rate) in data to that in simulation. In the case of b jets, where more than one calibration method exists, the results from the various analyses have been combined taking into account the statistical correlation as well as the correlation of the sources of systematic uncertainty.

362 citations

Journal ArticleDOI
01 Jun 2004-Genetics
TL;DR: A collection of P-element insertions that have considerable utility for generating custom chromosomal aberrations in Drosophila melanogaster are described and their end points mapped, with base-pair resolution, to the genome sequence.
Abstract: We describe a collection of P-element insertions that have considerable utility for generating custom chromosomal aberrations in Drosophila melanogaster. We have mobilized a pair of engineered P elements, p[RS3] and p[RS5], to collect 3243 lines unambiguously mapped to the Drosophila genome sequence. The collection contains, on average, an element every 35 kb. We demonstrate the utility of the collection for generating custom chromosomal deletions that have their end points mapped, with base-pair resolution, to the genome sequence. The collection was generated in an isogenic strain, thus affording a uniform background for screens where sensitivity to genetic background is high. The entire collection, along with a computational and genetic toolbox for designing and generating custom deletions, is publicly available. Using the collection it is theoretically possible to generate >12,000 deletions between 1 bp and 1 Mb in size by simple eye color selection. In addition, a further 37,000 deletions, selectable by molecular screening, may be generated. We are now using the collection to generate a second-generation deficiency kit that is precisely mapped to the genome sequence.

361 citations

Journal ArticleDOI
TL;DR: It is demonstrated that mice devoid of Pmp22 are retarded in the onset of myelination and develop abundant sausage–like hypermyelination structures (tomacula) at a young age followed by severe demyelination, axonal loss and functional impairment.
Abstract: Peripheral myelin protein PMP22 has been suggested to have a role in peripheral nerve myelination and cell proliferation. Defects at the PMP22 locus are associated with peripheral neuropathies such as Charcot-Marie-Tooth disease type 1A. We now demonstrate that mice devoid of Pmp22 are retarded in the onset of myelination and develop abundant sausage-like hypermyelination structures (tomacula) at a young age followed by severe demyelination, axonal loss and functional impairment. Mice carrying one functional copy of Pmp22 are less affected but they also exhibit focal tomacula comparable to the morphological features in hereditary neuropathy with liability to pressure palsies (HNPP). We conclude that Pmp22 is required for the correct development of peripheral nerves, the maintenance of axons and the determination of myelin thickness and stability.

361 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, Jalal Abdallah3, S. Abdel Khalek4  +2871 moreInstitutions (167)
TL;DR: In this article, the authors presented the electron and photon energy calibration achieved with the ATLAS detector using about 25 fb(-1) of LHC proton-proton collision data taken at center-of-mass energies of root s = 7 and 8 TeV.
Abstract: This paper presents the electron and photon energy calibration achieved with the ATLAS detector using about 25 fb(-1) of LHC proton-proton collision data taken at centre-of-mass energies of root s = 7 and 8 TeV. The reconstruction of electron and photon energies is optimised using multivariate algorithms. The response of the calorimeter layers is equalised in data and simulation, and the longitudinal profile of the electromagnetic showers is exploited to estimate the passive material in front of the calorimeter and reoptimise the detector simulation. After all corrections, the Z resonance is used to set the absolute energy scale. For electrons from Z decays, the achieved calibration is typically accurate to 0.05% in most of the detector acceptance, rising to 0.2% in regions with large amounts of passive material. The remaining inaccuracy is less than 0.2-1% for electrons with a transverse energy of 10 GeV, and is on average 0.3% for photons. The detector resolution is determined with a relative inaccuracy of less than 10% for electrons and photons up to 60 GeV transverse energy, rising to 40% for transverse energies above 500 GeV.

361 citations


Authors

Showing all 31653 results

NameH-indexPapersCitations
Peer Bork206697245427
Cyrus Cooper2041869206782
D. M. Strom1763167194314
George P. Chrousos1691612120752
David A. Bennett1671142109844
Marc W. Kirschner162457102145
Josef M. Penninger154700107295
William A. Catterall15453683561
Rui Zhang1512625107917
Niels Birbaumer14283577853
Kim Nasmyth14229459231
James J. Gross139529100206
Michael Schmitt1342007114667
Jean-Luc Brédas134102685803
Alexander Schmidt134118583879
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023111
2022398
20212,960
20202,899
20192,714
20182,447