0000000000329957

AUTHOR

J. Gu

showing 4 related works from this author

Examining the generalizability of research findings from archival data

2022

This research project benefitted from Ministry of Education (Singapore) Tier 1 Grant R-313-000-131-115 (to A. Delios), National Science Foundation of China Grants 72002158 (to H.T.) and 71810107002 (to H.T.), grants from the Knut and Alice Wallenberg Foundation (to A. Dreber) and the Marianne and Marcus Wallenberg Foundation (through a Wallenberg Scholar grant; to A. Dreber), Austrian Science Fund (FWF) Grant SFB F63 (to A. Dreber), grants from the Jan Wallander and Tom Hedelius Foundation (Svenska Handelsbankens Forskningsstiftelser; to A. Dreber), and an Research & Development (R&D) research grant from Institut Européen d'Administration des Affaires (INSEAD) (to E.L.U.). Dmitrii Dubrov, o…

research reliabilityMultidisciplinaryZA4050 Electronic information resourcesDASVDP::Matematikk og Naturvitenskap: 400M-PSI/06 - PSICOLOGIA DEL LAVORO E DELLE ORGANIZZAZIONIarchival data; context sensitivity; generalizability; reproducibility; research reliabilityResearch reliability generalizability archival data reproducibility context sensitivity:Ciências Sociais::Economia e Gestão [Domínio/Área Científica]archival dataZA4050Inequality cohesion and modernizationM-PSI/03 - PSICOMETRIAVDP::Medisinske Fag: 700Ongelijkheid cohesie en moderniseringcontext sensitivitygeneralizabilityreproducibilityWork Health and Performance
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Search forBs0→μ+μ−andB0→μ+μ−Decays with CDF II

2011

A search has been performed for B{sub s}{sup 0} {yields} {mu}{sup +}{mu}{sup -} and B{sup 0} {yields} {mu}{sup +}{mu}{sup -} decays using 7 fb{sup -1} of integrated luminosity collected by the CDF II detector at the Fermilab Tevatron collider. The observed number of B{sup 0} candidates is consistent with background-only expectations and yields an upper limit on the branching fraction of {Beta}(B{sup 0} {yields} {mu}{sup +}{mu}{sup -}) < 6.0 x 10{sup -9} at 95% confidence level. We observe an excess of B{sub s}{sup 0} candidates. The probability that the background processes alone could produce such an excess or larger is 0.27%. The probability that the combination of background and the expe…

Flight directionNuclear and High Energy PhysicsParticle physicsMesonTevatronGeneral Physics and Astronomy01 natural sciences7. Clean energyLuminosityStandard Modellaw.inventionNuclear physicsParticle decaychemistry.chemical_compoundlawTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY0103 physical sciencesInvariant massLimit (mathematics)FermilabCollider010306 general physicsPhysicsMuon010308 nuclear & particles physicsBranching fractionSupersymmetryD0 experimentIMesCrystallographychemistryDecay lengthHigh Energy Physics::ExperimentLeptonPhysical Review Letters
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Measurement of thett¯production cross section inpp¯collisions ats=1.96  TeVusing soft electronb-tagging

2010

The authors present a measurement of the t{bar t} production cross section using events with one charged lepton and jets from p{bar p} collisions at a center-of-mass energy of 1.96 TeV. A b-tagging algorithm based on the probability of displaced tracks coming from the event interaction vertex is applied to identify b quarks from top decay. Using 318 pb{sup -1} of data collected with the CDF II detector, they measure the t{bar t} production cross section in events with at least one restrictive (tight) b-tagged jet and obtain 8.9{sub -1.0}{sup +1.0}(stat.){sub -1.0}{sup +1.1}(syst.) pb. The cross section value assumes a top quark mass of m{sub t} is presented in the paper. This result is cons…

Top quarkCollider physicsHadronTevatronGeneral Physics and AstronomyElementary particleKinematicsElectronJet (particle physics)01 natural sciences7. Clean energyParticle identificationlaw.inventionlawInvariant massFermilabNuclear ExperimentQuantum chromodynamicsPhysicsLarge Hadron ColliderLuminosity (scattering theory)Supersymmetryb-taggingHadronizationTransverse planeProduction (computer science)Collider Detector at FermilabQuarkSemileptonic decayNuclear and High Energy PhysicsParticle physicsBar (music)Astrophysics::High Energy Astrophysical PhenomenaBottom quarkMeasure (mathematics)Standard ModelNuclear physicsCross section (physics)Particle decay0103 physical sciencesCollider010306 general physicsCompact Muon SolenoidMuonBranching fraction010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyMultiplicity (mathematics)FermionVertex (geometry)Pair productionHigh Energy Physics::ExperimentEnergy (signal processing)Bar (unit)LeptonPhysical Review D
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Pan-cancer analysis of whole genomes

2020

Publisher's version (útgefin grein)

Maletert promoter mutationsCancer development and immune defence Radboud Institute for Molecular Life Sciences [Radboudumc 2]DNA Mutational AnalysisNormal tissuesystematic analysisGermlineTranscriptome0302 clinical medicineAetiologyCàncerCellular SenescenceCancer0303 health sciencesdna-damageMassive parallel sequencingPan cancerREARRANGEMENTSHigh-Throughput Nucleotide SequencingGenomicsSciences bio-médicales et agricolesTelomereCOMPREHENSIVE3. Good healthTERT PROMOTER MUTATIONSsignatures030220 oncology & carcinogenesisScience & Technology - Other TopicsErfðarannsóknirHuman:Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC]EvolutionRNA SplicingGenomicsArticleEvolution MolecularStructural variationRC025403 medical and health sciencesSDG 3 - Good Health and Well-beingGeneticgenomicsSYSTEMATIC ANALYSISGeneticsGenomics--Databases.HumansGenetic TestingMolecular BiologySIGNATURESWhole genome sequencing1000 MultidisciplinaryChromothripsisScience & TechnologyRC0254 Neoplasms. Tumors. Oncology (including Cancer)Information DisseminationResearchInstitutes_Networks_Beacons/mcrcPreventionBiology and Life SciencesMolecularOncogenesCloud Computingmedicine.diseaseGenòmicaCompute cloudsMutation570 Life sciences; biologyCOMPREHENSIVE CHARACTERIZATIONGenèticaWhole Genome Sequencing--methodsBackground informationDNA Mutational Analysis ; Evolution ; Genetic / genetics ; Genome ; Genomics ; Germ-Line Mutation / genetics ; High-Throughput Nucleotide Sequencing ; Human / genetics ; Humans ; ICGC/TCGA Pan-Cancer Analysis of Whole Genomes ConsortiumMedizinGenomeWhole-genomeGenome mappingNeoplasms2.1 Biological and endogenous factorsPromoter Regions GeneticCàncer -- Aspectes genèticsTelomeraseGeneticsWomen's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17]MultidisciplinaryChromothripsisGenomeManchester Cancer Research Centregenomics cancer profiling3rd-DAS10124 Institute of Molecular Life SciencesWomen's cancers Radboud Institute for Health Sciences [Radboudumc 17]Multidisciplinary SciencesParallel sequencingICGC/TCGA Pan-Cancer Analysis of Whole Genomes ConsortiumFemaleprofilingMedical GeneticsEngineering sciences. TechnologyBiotechnologyGeneral Science & TechnologyThe Cancer Genome Atlas610 Medicine & healthComputational biologyQH426 GeneticsBiologyConsortium of the International Cancer Genome ConsortiumPromoter RegionsGermline mutationPan-cancer analysisKrabbameinsrannsóknirmedicinecancerddc:610QH426Germ-Line MutationMedicinsk genetikKrabbamein030304 developmental biologyCell ProliferationLANDSCAPEGenome Humancomprehensive characterizationPan-cancer analysis of whole genomesPoint mutationHuman GenomeCancerReproducibility of ResultsSOMATIC MUTATIONSEVOLUTIONCancer sequencing Chromothripsis telomereDNA-DAMAGEMutagenesisPATTERNS3111 BiomedicineCHARACTERIZATION
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