Search results for " dependence"

showing 10 items of 2018 documents

"Table 5" of "Measurement of the production cross section for W-bosons in association with jets in pp collisions at sqrt(s) = 7 TeV with the ATLAS de…

2011

The cross section times branching ratio for W+jets in the electron channel as a function of the leading jet PT.

Electron productionAstrophysics::High Energy Astrophysical Phenomena7000.0Jet ProductionP P --> W- JETS XP P --> W+ JETS XInclusiveSingle Differential Cross Section2611940326119403Proton-Proton ScatteringHigh Energy Physics::ExperimentDSIG/DPTTransverse Momentum DependenceW Production
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Chromatographic retention–activity relationships for prediction of the toxicity pH-dependence of phenols

2007

Abstract An investigation of the use of the chromatographic retention (log  k ) as an in vitro approach for modeling the pH-dependence of the toxicity to Guppy of phenols is developed. A data set of 19 phenols with available experimental toxicity–pH data was used. The importance of the mechanism of toxic action (MOA) of phenols was studied. log  k data at three pH values were used for the phenols classification and two groups or ‘MODEs’ were identified. For one ‘MODE’ a quantitative retention–activity relationship (QRAR) model was calculated. Finally, the model was used to assess the toxicity to Guppy of phenols at different pH values. The results of this investigation suggest that chromato…

Environmental EngineeringHealth Toxicology and MutagenesisQuantitative Structure-Activity RelationshipModels BiologicalLethal Dose 50chemistry.chemical_compoundPhenolsPh dependenceAnimalsEnvironmental ChemistryOrganic chemistryEcotoxicologyPhenolsChromatographyPoeciliaChromatographyChemistryPublic Health Environmental and Occupational HealthGeneral MedicineGeneral ChemistryHydrogen-Ion ConcentrationPollutionToxicityPh rangeFish <Actinopterygii>ForecastingChemosphere
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Block Bootstrap Methods and the Choice of Stocks for the Long Run

2011

Financial advisors commonly recommend that the investment horizon should be rather long in order to benefit from the "time diversification". In this case, in order to choose the optimal portfolio, it is necessary to estimate the risk and reward of several alternative portfolios over a long-run given a sample of observations over a short-run. Two interrelated obstacles in these estimations are lack of sufficient data and the uncertainty in the nature of the return generating process. To overcome these obstacles researchers rely heavily on block bootstrap methods. In this paper we demonstrate that the estimates provided by a block bootstrap method are generally biased and we propose two metho…

Estimation theoryStatisticsDiversification (finance)EconometricsEconomicsPortfolioTime seriesSerial dependenceBias reductionSSRN Electronic Journal
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Observation of e + e − → ηψ(2S) at center-of-mass energies from 4.236 to 4.600 GeV

2021

Journal of high energy physics 2021(10), 177 (2021). doi:10.1007/JHEP10(2021)177

ExoticsNuclear and High Energy Physicsmeasured [channel cross section]e+-e− ExperimentsQuarkoniumannihilation [electron positron]QC770-798electron positron: annihilationetaParticle and resonance productionMeasure (mathematics)530Standard deviationNONuclear physicsSubatomär fysikCross section (physics)e+-e��� Experimentsenergy dependence: measured [cross section]Astronomi astrofysik och kosmologiNuclear and particle physics. Atomic energy. RadioactivitySubatomic PhysicsAstronomy Astrophysics and Cosmologyddc:530e+-e− Experiments Exotics Particle and resonance production Quarkoniumpsi(3685)PhysicsBESe(+)-e(-) ExperimentsDetectorstatistical [error]electron positron --> eta psi(3685)e +-e − Experimentselectron positron: colliding beamsBeijing Stor4.236-4.600 GeV-cmsCollisionerror: statisticalYield (chemistry)e-e Experimentselectron positron --&gt; eta psi(3685)colliding beams [electron positron]High Energy Physics::ExperimentCenter of masscross section: energy dependence: measuredchannel cross section: measuredStorage ringexperimental results
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Bayesian inference for the extremal dependence

2016

A simple approach for modeling multivariate extremes is to consider the vector of component-wise maxima and their max-stable distributions. The extremal dependence can be inferred by estimating the angular measure or, alternatively, the Pickands dependence function. We propose a nonparametric Bayesian model that allows, in the bivariate case, the simultaneous estimation of both functional representations through the use of polynomials in the Bernstein form. The constraints required to provide a valid extremal dependence are addressed in a straightforward manner, by placing a prior on the coefficients of the Bernstein polynomials which gives probability one to the set of valid functions. The…

FOS: Computer and information sciencesStatistics and ProbabilityInferenceBernstein polynomialsBivariate analysisBayesian inference01 natural sciencesMethodology (stat.ME)Bayesian nonparametrics010104 statistics & probabilitysymbols.namesakeGeneralised extreme value distribution0502 economics and business62G07Applied mathematics62G05Degree of a polynomial0101 mathematicsStatistics - Methodology050205 econometrics MathematicsAngular measureMax-stable distributionGENERALISED EXTREME VALUE DISTRIBUTION EXTREMAL DEPENDENCE ANGULAR MEASURE MAX-STABLE DISTRIBUTION BERNSTEIN POLYNOMIALS BAYESIAN NONPARAMETRICS TRANS-DIMENSIONAL MCMC EXCHANGE RATEExchange rates05 social sciencesNonparametric statisticsMarkov chain Monte CarloBernstein polynomialGENERALISED EXTREME VALUE DISTRIBUTION; EXTREMAL DEPENDENCE; ANGULAR MEASURE; MAX-STABLE DISTRIBUTION; BERNSTEIN POLYNOMIALS; BAYESIAN NONPARAMETRICS; TRANS-DIMENSIONAL MCMC; EXCHANGE RATETrans-dimensional MCMCEXCHANGE RATEsymbolsStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaMaximaExtremal dependence62G32Electronic Journal of Statistics
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Features of the Energy Spectrum of Cosmic Rays above 2.5×10$^{18}$ eV Using the Pierre Auger Observatory

2020

We report a measurement of the energy spectrum of cosmic rays above $2.5{\times} 10^{18}$ eV based on $215,030$ events. New results are presented: at about $1.3{\times} 10^{19}$ eV, the spectral index changes from $2.51 \pm 0.03 \textrm{ (stat.)} \pm 0.05 \textrm{ (sys.)}$ to $3.05 \pm 0.05 \textrm{ (stat.)}\pm 0.10\textrm{ (sys.)}$, evolving to $5.1\pm0.3\textrm{ (stat.)} \pm 0.1\textrm{ (sys.)}$ beyond $5{\times} 10^{19}$ eV, while no significant dependence of spectral features on the declination is seen in the accessible range. These features of the spectrum can be reproduced in models with energy-dependent mass composition. The energy density in cosmic rays above $5{\times} 10^{18}$ eV …

FOS: Physical sciencespower spectrumGravitation and Astrophysics7. Clean energy01 natural sciences530energy dependencemass spectrumcosmic ray; astroparticle detectors; cosmic ray spectracosmic ray spectraastroparticle detectors5/30103 physical sciencesddc:530energy: densityUHE Cosmic Rays010303 astronomy & astrophysicscosmic rayHigh Energy Astrophysical Phenomena (astro-ph.HE)Ultra-high energy cosmic rays energy spectrum astrophysical implications Cherenkov detectorscosmic radiation: energy spectrum010308 nuclear & particles physicsPhysicsAugerobservatoryEnergy SpectrumspectralAstrophysics - High Energy Astrophysical Phenomena[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]energy spectrum [cosmic radiation]density [energy]
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A field induced ferromagnetic-like transition below 2.8 K in Li2CuO2: An experimental and theoretical study

1998

The low temperature magnetic properties of the Li2CuO2 compound have been investigated by means of superconducting quantum interference device magnetometry. We find in addition to an antiferromagnetic phase below 9.5 K a ferromagnetic-like steep rise of the magnetization around 2.8 K. The observed low temperature behavior is discussed by considering second and fourth order magnetocrystalline effective anisotropy coefficients, in addition to the exchange couplings reported in the literature. Work at the Institut de Ciencia dels Materials was supported by the Spanish Comisión Interministerial de Ciencia y Technología Grant No. CICYT MAT 96-1037.

Field (physics)MagnetometerExchange InteractionsGeneral Physics and AstronomyExchange Interactions (Electron)Magnetizationlaw.inventionMagnetizationMagnetisationAntiferromagnetism:FÍSICA [UNESCO]lawPhase (matter)Magnetic propertiesFerromagnetic MaterialsCopper OxidesLi2CuO2AntiferromagnetismAntiferromagnetic MaterialsLithium OxidesAnisotropyCondensed matter physicsTemperature Range 0000-0013 KChemistryTemperature DependenceUNESCO::FÍSICALithium Compounds ; Ferromagnetic-Antiferromagnetic Transitions ; Ferromagnetic Materials ; Antiferromagnetic Materials ; Magnetisation ; Magnetic Anisotropy ; Exchange Interactions (Electron) ; Lithium Oxides ; Copper Oxides ; Magnetization ; Exchange Interactions ; Antiferromagnetism ; Ferromagnetism ; Temperature Dependence ; Temperature Range 0000-0013 KMagnetic AnisotropyMagnetic anisotropyFerromagnetismLithium CompoundsFerromagnetismFerromagnetic-Antiferromagnetic TransitionsJournal of Applied Physics
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A matter of perspective : the cognitive style Field Independence - dependence, and why it matters

2016

Psykologi Herman Witkin aloitti vuonna 1948 kognitiivista ajattelutapaa tutkivan suuntauksen, jossa ihmiset jaettiin kahteen ryhmään: kenttäriippuvaisiin ja kenttäriippumattomiin. Kenttäriippumattomuutta ja -riippuvaisuutta on tutkittu aina 2010 luvulle saakka. Kansainvälisiä tutkimustuloksia löytyy aiheeseen liittyen runsaastikin, mutta Suomessa aihetta ei ole juurikaan tutkittu soveltavan kielitieteen näkökulmasta. Tutkimukset kenttäriippuvaisuudesta ja -riippumattomuudesta antavat viitteitä siihen, että tällä kognitiivisen ajattelun mallilla saattaa olla suurikin vaikutus oppilaiden oppimismenestykseen. Kenttäriippumattomat oppilaat ovat aiempien tutkimusten mukaan itsenäisempiä, havaits…

Field Independence - DependencekenttäriippuvuusGood Language LearnerField DependenceLanguage LearningLanguage AptitudeCognitive Style
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MBU characterization of NAND-Flash memories under heavy-ion irradiation

2011

The angular dependence of the MBU-Cross-Section of two 8-Gbit-SLC-NAND-Flash and the orientation of the MBU-pattern has been measured.

Flash (photography)Materials sciencebusiness.industryElectrical engineeringNAND gateOptoelectronicsAngular dependencebusinessHeavy ion irradiationCharacterization (materials science)2011 12th European Conference on Radiation and Its Effects on Components and Systems
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Determination of dynamic properties of flax fibres reinforced laminate using vibration measurements

2017

International audience; Experimental and numerical methods to identify the linear viscoelastic properties of flax fibre reinforced polymer (FFRP) composite are presented in this study. The method relies on the evolution of storage modulus and loss factor as observed through the frequency response. Free-free symmetrically guided beams were excited in the dynamic range of 10 Hz to 4 kHz with a swept sine excitation focused around their first modes. A fractional derivative Zener model has been identified to predict the complex moduli. A modified ply constitutive law has been then implemented in a classical laminates theory calculation (CLT) routine. Overall, the Zener model fitted the experime…

Frequency responseMaterials sciencePolymers and PlasticsLoss factor[ SPI.MAT ] Engineering Sciences [physics]/MaterialsConstitutive equation02 engineering and technology010402 general chemistry01 natural sciencesDampingVibrationViscoelasticity[SPI.MAT]Engineering Sciences [physics]/Materials[PHYS.MECA.MEMA]Physics [physics]/Mechanics [physics]/Mechanics of materials [physics.class-ph]Frequency dependence[SPI]Engineering Sciences [physics][ PHYS.MECA.MSMECA ] Physics [physics]/Mechanics [physics]/Materials and structures in mechanics [physics.class-ph]Composite materialComputingMilieux_MISCELLANEOUSComposites[PHYS.MECA.VIBR]Physics [physics]/Mechanics [physics]/Vibrations [physics.class-ph]Damping Loss FactorOrganic ChemistryViscoelasticityDynamic mechanical analysisEpoxy[PHYS.MECA.MSMECA]Physics [physics]/Mechanics [physics]/Materials and structures in mechanics [physics.class-ph]021001 nanoscience & nanotechnologyFlax fibre0104 chemical sciencesVibrationComposite-Materials[ PHYS.MECA.VIBR ] Physics [physics]/Mechanics [physics]/Vibrations [physics.class-ph][ PHYS.MECA.MEMA ] Physics [physics]/Mechanics [physics]/Mechanics of materials [physics.class-ph]visual_artvisual_art.visual_art_mediumGlassStandard linear solid model0210 nano-technologyModel
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