Search results for "Cross-section"

showing 10 items of 2665 documents

"Table 27" of "Comprehensive measurements of $t$-channel single top-quark production cross sections at $\sqrt{s} = 7$ TeV with the ATLAS detector"

2021

Detailed list of the contribution of each source of uncertainty to the total relative uncertainty on the measured $\dfrac{1}{\sigma}\dfrac{\mathrm{d}\sigma}{\mathrm{d}|y(\bar t)|}$ distribution given in percent for each bin. The list includes only those uncertainties that contribute with more than $1\%$. Sign switches within one uncertainty are denoted with $\mp$ and $\pm$. The following uncertainties contribute to the total uncertainty with less than $1\%$ to each bin content $:$ JES detector, JES statistical, JES physics modeling, JES mixed detector and modeling, JES close-by jets, JES pileup, JES flavor composition, JES flavor response, b-JES, jet energy resolution, jet-vertex fraction, …

P P --> TOPBAR XInclusiveSingle differential cross-sectionProton-Proton ScatteringRapidity DependenceTop7000.0High Energy Physics::Experiment1/SIG*DSIG/DYRAP
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"Table 23" of "Comprehensive measurements of $t$-channel single top-quark production cross sections at $\sqrt{s} = 7$ TeV with the ATLAS detector"

2021

Detailed list of the contribution of each source of uncertainty to the total relative uncertainty on the measured $\dfrac{\mathrm{d}\sigma}{\mathrm{d}|y(\bar t)|}$ distribution given in percent for each bin. The list includes only those uncertainties that contribute with more than $1\%$. The following uncertainties contribute to the total uncertainty with less than $1\%$ to each bin content$:$ JES detector, JES statistical, JES physics modeling, JES mixed detector and modeling, JES close-by jets, JES pileup, JES flavor composition, JES flavor response, $b-$JES, jet-vertex fraction, $b/\bar{b}$ acceptance, mistag efficiency, $E_{\mathrm{T}}^{\mathrm{miss}}$ modeling, $W+$ jets shape variatio…

P P --> TOPBAR XInclusiveSingle differential cross-sectionProton-Proton ScatteringRapidity DependenceTop7000.0High Energy Physics::ExperimentDSIG/DYRAP
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"Table 25" of "Comprehensive measurements of $t$-channel single top-quark production cross sections at $\sqrt{s} = 7$ TeV with the ATLAS detector"

2021

Detailed list of the contribution of each source of uncertainty to the total relative uncertainty on the measured $\dfrac{1}{\sigma}\dfrac{\mathrm{d}\sigma}{\mathrm{d}p_{\mathrm{T}}(\bar t)}$ distribution given in percent for each bin. The list includes only those uncertainties that contribute with more than $1\%$. Sign switches within one uncertainty are denoted with $\mp$ and $\pm$. The following uncertainties contribute to the total uncertainty with less than $1\%$ to each bin content$:$ JES detector, JES statistical, JES physics modeling, JES mixed detector and modeling, JES close-by jets, JES pileup, JES flavor composition, JES flavor response, $b-$JES, jet-vertex fraction, $b/\bar{b}$…

P P --> TOPBAR XInclusiveSingle differential cross-sectionProton-Proton ScatteringTransverse momentum dependence1/SIG*DSIG/DPTTop7000.0High Energy Physics::Experiment
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"Table 21" of "Comprehensive measurements of $t$-channel single top-quark production cross sections at $\sqrt{s} = 7$ TeV with the ATLAS detector"

2021

Detailed list of the contribution of each source of uncertainty to the total relative uncertainty on the measured $\dfrac{\mathrm{d}\sigma}{\mathrm{d}p_{\mathrm{T}}(\bar t)}$ distribution given in percent for each bin. The list includes only those uncertainties that contribute with more than $1\%$. The following uncertainties contribute to the total uncertainty with less than $1\%$ to each bin content$:$ JES detector, JES statistical, JES physics modeling, JES mixed detector and modeling, JES close-by jets, JES pileup, JES flavor composition, JES flavor response, $b-$JES, jet-vertex fraction, mistag efficiency, $b/\bar{b}$ acceptance, $E_{\mathrm{T}}^{\mathrm{miss}}$ modeling, $W+$ jets sha…

P P --> TOPBAR XInclusiveSingle differential cross-sectionProton-Proton ScatteringTransverse momentum dependenceTop7000.0High Energy Physics::ExperimentDSIG/DPT
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"Table 33" of "Comprehensive measurements of $t$-channel single top-quark production cross sections at $\sqrt{s} = 7$ TeV with the ATLAS detector"

2021

Statistical correlation matrices for the normalized differential cross section as a function of $p_{\mathrm{T}}(\bar t)$.

P P --> TOPBAR XInclusivegenetic structuresProton-Proton ScatteringCORR1/SIG*DSIG/DPTTopDifferential cross-section7000.0Transverse momentum
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"Table 35" of "Comprehensive measurements of $t$-channel single top-quark production cross sections at $\sqrt{s} = 7$ TeV with the ATLAS detector"

2021

Statistical correlation matrices for the normalized differential cross section as a function of $|y(\bar t)|$.

P P --> TOPBAR XInclusivegenetic structuresProton-Proton ScatteringCORRTopDifferential cross-sectionRapidity7000.01/SIG*DSIG/DYRAP
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Disposition-Content Congruency in Adolescents’ Alcohol-Related Social Media (Self-) Effects: The Role of the Five-Factor Model

2019

Objective: Accumulating evidence indicates that social networking sites play an increasingly important role in young people’s drinking behavior. The present study adds to this research by assessing the conditionality of the relationships between exposure to and self-sharing of alcohol-related content on social media and adolescents’ drinking behavior. Specifically, the moderating role of the five-factor model of personality is determined. Method: A cross-sectional survey study was conducted among 866 mid-adolescents (Msubsample = 14.85 years, SD = 0.71, 57.5% girls). Polynomial regression analysis with response surface modeling was used to test the interactions. Results: Exposure, but not s…

PERSONALITYHealth (social science)REFERENCESCross-sectional studymedia_common.quotation_subjectSocializationSocial SciencesPOLYNOMIAL REGRESSIONSOCIALIZATIONCONSUMPTIONDispositionVIOLENT MEDIAToxicologyINDIVIDUAL-DIFFERENCESDevelopmental psychologyNETWORKING SITESAGGRESSIVENESSPsychiatry and Mental healthDRINKINGPersonalitySocial mediaBig Five personality traitsPsychologyContent (Freudian dream analysis)media_commonJournal of Studies on Alcohol and Drugs
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An international perspective on hospitalized patients with viral community-acquired pneumonia

2019

Background Who should be tested for viruses in patients with community acquired pneumonia (CAP), prevalence and risk factors for viral CAP are still debated. We evaluated the frequency of viral testing, virus prevalence, risk factors and treatment coverage with oseltamivir in patients admitted for CAP. Methods Secondary analysis of GLIMP, an international, multicenter, point-prevalence study of hospitalized adults with CAP. Testing frequency, prevalence of viral CAP and treatment with oseltamivir were assessed among patients who underwent a viral swab. Univariate and multivariate analysis was used to evaluate risk factors. Results 553 (14.9%) patients with CAP underwent nasal swab. Viral CA…

PNEUMONIAMaleMultivariate analysisInternationalityPCV13 pneumococcal conjugate vaccineDatabases FactualHospitalized patientsmedicine.medical_treatmentvirusesCAD coronary artery diseaseTesting030204 cardiovascular system & hematologyMRSA methicillin resistant Staphylococcus aureusPneumònia adquirida a la comunitatRT-PCR reverse transcriptase polymerase chain reactionchemistry.chemical_compound0302 clinical medicineCommunity-acquired pneumoniaTaverne80 and overCommunity-Acquired InfectionViral030212 general & internal medicineProspective StudiesAged 80 and overRIDT rapid influenza diagnostic testCAP community-acquired pneumoniaRSV Respiratory Syncytial virusMiddle AgedICU intensive care unitCommunity-Acquired InfectionsHospitalizationNasal SwabInfectious diseasesFemaleViral swabHumanOseltamivirmedicine.medical_specialtyLogistic ModelCommunity-acquired pneumoniaViral pneumoniaCommunity acquired pneumonia; Influenza; Oseltamivir; Testing; Viral pneumonia; Viral swab; Aged; Aged 80 and over; Antiviral Agents; Community-Acquired Infections; Cross-Sectional Studies; Databases Factual; Female; Hospitalization; Humans; Influenza Human; Internationality; Logistic Models; Male; Medication Adherence; Middle Aged; Oseltamivir; Pneumonia Viral; Prospective StudiesPneumonia ViralAdmissionSettore MED/10 - Malattie Dell'Apparato RespiratorioInfluenzavirusAntiviral AgentsVirusArticleMedication AdherenceHMPV human MetapneumovirusDatabases03 medical and health sciencesLRTI lower respiratory tract infectionOseltamivirInternal medicineInfluenza HumanInternal MedicinemedicineInfluenza virusesHumansHIV Human Immunodeficiency virusPPSV23 pneumococcal polysaccharide vaccineIn patientFactualAgedMechanical ventilationAntiviral AgentCross-Sectional Studiebusiness.industryFEV1 forced expiratory volume in one secondGLIMP global initiative for methicillin-resistant Staphylococcus aureus pneumoniaESBL extended-spectrum beta-lactamasesPneumoniamedicine.diseaseInfluenzaCommunity acquired pneumoniaCI confidence intervalOR odds ratioCross-Sectional StudiesLogistic ModelschemistryCOPD chronic obstructive pulmonary diseasebusinessCommunity acquired pneumonia ; Influenza ; Oseltamivir ; Testing ; Viral pneumonia ; Viral swab
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Frequency-specific network activity predicts bradykinesia severity in Parkinson’s disease

2021

Highlights • Parallel subnetworks are affected in bradykinesia. • The primary motor and the premotor cortex are common nodes with task-specificity. • Beta activity decreases, gamma activity increases with improvement of bradykinesia. • Subthalamic stimulation reduces beta, increases gamma power in ipsilateral cortex. • Subnetworks act with frequency-specific oscillations.

PPC posterior parietal cortexBradykinesiaParkinson's diseaseDeep brain stimulationCognitive Neurosciencemedicine.medical_treatmentComputer applications to medicine. Medical informaticsR858-859.7FT finger tappingHypokinesiaElectromyographyElectroencephalographyPS pronation-supinationGamma oscillationPremotor cortexCER cerebellumSubthalamic NucleusDeep brain stimulationmedicineHumansRadiology Nuclear Medicine and imagingRC346-429SMA supplementary motor cortexM1 primary motor cortexResting state fMRImedicine.diagnostic_testbusiness.industryRegular ArticleBeta oscillationmedicine.diseasehumanitiesnervous system diseasesParkinson diseaseHG hand graspingSubthalamic nucleusCross-Sectional Studiesmedicine.anatomical_structurePMC premotor cortexNeurologyDLPFC dorsolateral prefrontal cortexFinger tappingStrEM structural equation modellingNeurology. Diseases of the nervous systemNeurology (clinical)businessNeuroscienceSTN subthalamic nucleusNeuroImage: Clinical
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Support for families of patients dying with dementia: A qualitative analysis of bereaved family members' experiences and suggestions

2014

AbstractObjective:To explore and document the needs of family caregivers of patients dying with dementia and to identify how healthcare professionals can adequately support them.Method:We employed a cross-sectional survey containing open-ended questions that were analyzed using qualitative methods.Results:Receiving information about the diagnosis and disease trajectory of dementia is essential for the caregiving families of people dying with the disease. However, at present the communication of information offered by professionals is not experienced as satisfying. Further aspects that require improvement concern issues related to time constraints, as well as practical and emotional support …

Palliative careBereaved familyDiseaseQualitative analysisNursingSurveys and QuestionnairesHumansMedicineDementiaQualitative ResearchGeneral NursingTerminal Carebusiness.industryFamily caregiversCommunicationProfessional supportGeneral Medicinemedicine.diseasePsychiatry and Mental healthClinical PsychologyCross-Sectional StudiesCaregiversDementiabusinessBereavementQualitative researchPalliative and Supportive Care
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