Search results for "Matematikk"

showing 10 items of 707 documents

Facilitators and inhibitors of organic food buying behavior

2021

Abstract Consumption patterns across the globe indicate consumers’ rising interest in purchasing organic food due to increasing personal-health consciousness. However, research on organic food shows a low translation of this interest into stated preferences for purchasing organic food. Limited academic research has explored this puzzling buying behavior of consumers, particularly in developed economies such as Japan. Our study addresses this gap by examining the factors that facilitate or inhibit Japanese consumers’ buying behavior toward organic food. We use the Stimulus-Organism-Response framework, Innovation Resistance Theory, and Dual-Factor Theory to examine these factors by analyzing …

0303 health sciencesNutrition and Dietetics030309 nutrition & dietetics:Samfunnsvitenskap: 200 [VDP]media_common.quotation_subjectNutritional contentdigestive oral and skin physiology04 agricultural and veterinary sciencesHealth consciousness040401 food sciencePurchasing03 medical and health sciences0404 agricultural biotechnologyFacilitatorVDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470ConsciousnessMarketingPsychologyWelfareFood Sciencemedia_commonFood Quality and Preference
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Intensified forestry as a climate mitigation measure alters surface water quality in low intensity managed forests

2020

Climate change has led to a focus on forest management techniques to increase carbon (C) sequestration as a mitigation measure. Fertilisation and increased removal of biomass have been proposed. But these and other forest practices may have undesirable effects on surface water quality. In naturally acid-sensitive areas such as much of Fennoscandia a concern is acidification due to acid deposition in combination with forest practices that increase the removal of base cations and leaching of nitrate (NO3). Here we apply the biogeochemical model MAGIC to the coniferous-forested catchment at Birkenes, southernmost Norway, to simulate the effects of forest fertilisation and harvest on soil and s…

040101 forestry010504 meteorology & atmospheric sciencesForest managementBiomassClimate changeForestry04 agricultural and veterinary sciences01 natural sciencesEnvironmental protectionSurface water qualityVDP::Matematikk og Naturvitenskap: 400::Basale biofag: 4700401 agriculture forestry and fisheriesEnvironmental sciencesense organsWater qualityskin and connective tissue diseasesIntensity (heat transfer)0105 earth and related environmental sciences
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Evidence for the production of three massive vector bosons with the ATLAS detector

2019

A search for the production of three massive vector bosons in proton–proton collisions is performed using data at TeV recorded with the ATLAS detector at the Large Hadron Collider in the years 2015–2017, corresponding to an integrated luminosity of 79.8 fb−1. Events with two same-sign leptons ℓ (electrons or muons) and at least two reconstructed jets are selected to search for . Events with three leptons without any same-flavour opposite-sign lepton pairs are used to search for , while events with three leptons and at least one same-flavour opposite-sign lepton pair and one or more reconstructed jets are used to search for . Finally, events with four leptons are analysed to search for and .…

13000 GeV-cmsLarge hadron collider((n)jet dilepton) [final state]W: leptonic decay01 natural sciences7. Clean energySubatomär fysikvector boson: multiple productionElectroweak interactionscattering [p p]ATLAS LHC jets leptonsBoson((n)jet 3lepton) [final state]Collisionsmultiple production [W]Nuclear Experiment((n)jet 4lepton) [final state]Large Hadron ColliderPhysicsElectroweak interactionParticle physicslcsh:QC1-999:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]muon: pair production(3lepton) [final state]CERN LHC CollProduction (computer science)colliding beams [p p]p p: scatteringCiências Naturais::Ciências FísicasLHC ATLAS High Energy PhysicsHIGH ENERGY PHYSICSProduction (computer science)same signddc:530pair production [electron]010306 general physicsW: hadronic decayScience & Technology010308 nuclear & particles physicsfinal state: ((n)jet dilepton)Z0: associated productionExperimental High Energy PhysicsW bosonp p: colliding beamslcsh:PhysicsPhysics::Instrumentation and DetectorsAtlas detectormeasured [channel cross section]High Energy Physics - Experiment//purl.org/becyt/ford/1 [https]electron: pair productionW: pair productionHigh Energy Physics - Experiment (hep-ex)final state: ((n)jet 3lepton)Subatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]associated production [Z0]BosonPhysicsproton–proton collisionsSettore FIS/01 - Fisica SperimentaleATLASfinal state: (3lepton)pair production [W]LHCchannel cross section: measuredParticle Physics - ExperimentjetsNuclear and High Energy PhysicsParticle physics530 PhysicsAtlas detector:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesmultiple production [vector boson]Computer Science::Digital Librariesvector boson: massive0103 physical sciencespair production [muon]hadronic decay [W]hep-exHigh Energy Physics::Phenomenology:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]Físicafinal state: (4lepton)(4lepton) [final state]//purl.org/becyt/ford/1.3 [https]leptonic decay [Z0]final state: ((n)jet 4lepton)W: multiple productionleptonic decay [W]Z0: leptonic decayPhysics::Accelerator PhysicsSpace scienceHigh Energy Physics::Experimentmassive [vector boson]Hadron-hadron collisionsexperimental results
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Constraints on off-shell Higgs boson production and the Higgs boson total width in ZZ → 4ℓ and ZZ → 2ℓ2ν final states with the ATLAS detector

2018

A measurement of off-shell Higgs boson production in the and decay channels, where ℓ stands for either an electron or a muon, is performed using data from proton–proton collisions at a centre-of-mass energy of TeV. The data were collected by the ATLAS experiment in 2015 and 2016 at the Large Hadron Collider, and they correspond to an integrated luminosity of . An observed (expected) upper limit on the off-shell Higgs signal strength, defined as the event yield normalised to the Standard Model prediction, of 3.8 (3.4) is obtained at 95% confidence level (CL). Assuming the ratio of the Higgs boson couplings to the Standard Model predictions is independent of the momentum transfer of the Higgs…

13000 GeV-cmsoff-shell [Higgs particle]Electronwidth [Higgs particle]01 natural sciences7. Clean energySubatomär fysikHiggs particle: hadroproductionscattering [p p]Z0: pair productionCollisionsпротон-протонные столкновенияQCupper limit [width]Large Hadron Colliderlcsh:QC1-999:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]pair production [Z0]muon: pair productionCERN LHC Collgluon gluon: fusionHiggs bosonХиггса бозонS126Wcolliding beams [p p]p p: scatteringmass spectrum: (4lepton)Ciências Naturais::Ciências Físicaspair production [neutrino]HIGH ENERGY PHYSICSSEARCHddc:530pair production [electron]010306 general physicsParticle PhysicsParticle Physics LHC ATLASMuonHiggs particle: couplingScience & TechnologyATLAS detector010308 nuclear & particles physics(4lepton) [mass spectrum]HIGGSExperimental High Energy PhysicsPARTON DISTRIBUTIONS; SEARCH; PARTICLE; DECAY; MASSATLAS детекторp p: colliding beamslcsh:PhysicsHiggs particle: widthБольшой адронный коллайдерfusion [gluon gluon]Higgs particle: decaydilepton: mass spectrumAtlas detectorCiencias FísicasS126SZZmass spectrum [dilepton]High Energy Physics - Experiment//purl.org/becyt/ford/1 [https]electron: pair productionSignal strengthwidth: upper limitSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Physicsproton–proton collisionsneutrino: pair productionATLAS experimentMomentum transferSettore FIS/01 - Fisica Sperimentaledecay [Higgs particle]ATLASLHCPARTICLEParticle Physics - ExperimentCIENCIAS NATURALES Y EXACTASjetsParticle physicsNuclear and High Energy Physicscoupling [Higgs particle]530 PhysicsHiggs boson:Ciências Físicas [Ciências Naturais]MASSFísica de Partículas y CamposComputer Science::Digital Libraries0103 physical sciencespair production [muon]Ciencias ExactasHiggs particle: off-shellhep-exHigh Energy Physics::Phenomenology:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]Física//purl.org/becyt/ford/1.3 [https]leptonic decay [Z0]PARTON DISTRIBUTIONSZ0: leptonic decayhadroproduction [Higgs particle]ZZ → 4ℓHigh Energy Physics::ExperimentHadron-hadron collisionsDECAYZ Z → 2ℓ2νexperimental results
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Exposing Empirical Links between COVID-19 Situation Report and Available Data: The Case of Nigeria

2020

Ever since the index case of COVID-19 was announced in Nigeria, the number of confirmed cases has gradually increased to 46,140 (about 4.5% of total confirmed cases in Africa) as the time of writing this article. This seemingly low number of confirmed cases has provoked heated debates among researchers. This cross-sectional study explores the Nigerian COVID-19 report to expose some links between the number of confirmed cases, testing, and some environmental conditions. The findings reveal that there is no state in Nigeria which has up to 12 confirmed cases per 10,000 population. That means, the number of confirmed COVID-19 cases is less than 0.15% of the population of people across each sta…

2019-20 coronavirus outbreakAfrican most populous nationCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Populationlcsh:MedicineNigeria010501 environmental sciences01 natural sciencesArticle03 medical and health sciences0302 clinical medicineenvironmental factors030212 general & internal medicineeducationIndex case0105 earth and related environmental scienceseducation.field_of_studypandemiclcsh:Rcorrelational studyCOVID-19low number of testingVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410GeographyCorrelational studyDemographyDiseases
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Geometric rough paths on infinite dimensional spaces

2022

Similar to ordinary differential equations, rough paths and rough differential equations can be formulated in a Banach space setting. For $\alpha\in (1/3,1/2)$, we give criteria for when we can approximate Banach space-valued weakly geometric $\alpha$-rough paths by signatures of curves of bounded variation, given some tuning of the H\"older parameter. We show that these criteria are satisfied for weakly geometric rough paths on Hilbert spaces. As an application, we obtain Wong-Zakai type result for function space valued martingales using the notion of (unbounded) rough drivers.

22E65 53C17 60H10 60L20 60L50Applied MathematicsProbability (math.PR)Metric Geometry (math.MG)VDP::Mathematics: 410:Matematikk og Naturvitenskap: 400::Matematikk: 410::Topologi/geometri: 415 [VDP]:Matematikk: 410 [VDP]:Mathematics: 410 [VDP]Mathematics - Metric GeometryFOS: MathematicsVDP::Matematikk: 410MatematikkAnalysisMathematics - ProbabilityMathematics
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Fremmede arter i Norge: resultater fra kvantitative økologiske risikovurderinger

2020

1. Due to globalisation, trade and transport, the spread of alien species is increasing dramatically. Some alien species become ecologically harmful by threatening native biota. This can lead to irreversible changes in local biodiversity and ecosystem functioning, and, ultimately, to biotic homogenisation. 2. We risk-assessed all alien plants, animals, fungi and algae, within certain delimitations, that are known to reproduce in Norway. Mainland Norway and the Arctic archipelago of Svalbard plus Jan Mayen were treated as separate assessment areas. Assessments followed the Generic Ecological Impact Assessment of Alien Species (GEIAA) protocol, which uses a fully quantitative set of criteria.…

:Ecology: 488 [VDP]VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488Invasjonsbiologi / Invasion biologyecological impactinvasion potentialgenetic contaminationInvasive speciesevidence‐based managementinvasive speciesevidence-based managementInvasjonsbiologiGenetic contaminationGE1-350ecological effectAlien speciesQH540-549.5VDP::Mathematics and natural scienses: 400::Zoology and botany: 480::Ecology: 488EcologyImpact assessmentEcologyVDP::Økologi: 488Evidence-based managementVDP::Ecology: 488quantitative impact assessmentPeer reviewEnvironmental sciencesGeographydoor‐knocker speciesdoor-knocker species:Økologi: 488 [VDP]Invasion biology
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Particle identification in ALICE: a Bayesian approach

2016

We present a Bayesian approach to particle identification (PID) within the ALICE experiment. The aim is to more effectively combine the particle identification capabilities of its various detectors. After a brief explanation of the adopted methodology and formalism, the performance of the Bayesian PID approach for charged pions, kaons and protons in the central barrel of ALICE is studied. PID is performed via measurements of specific energy loss ($\mathrm{d}E/\mathrm{d}x$) and time-of-flight. PID efficiencies and misidentification probabilities are extracted and compared with Monte Carlo simulations using high-purity samples of identified particles in the decay channels ${\rm K}^0_S \righta…

:Kjerne- og elementærpartikkelfysikk: 431 [VDP]Monte Carlo methodGeneral Physics and AstronomyPID controllerPP01 natural sciencesParticle identificationHigh Energy Physics - ExperimentParticle identificationHigh Energy Physics - Experiment (hep-ex)ALICEHadron-Hadron scattering (experiments)Heavy-ion collisionNuclear and High Energy Physics Hadron-Hadron scattering (experiments) Heavy Ion Experiments Heavy-ion collision Quark gluon plasma Particle identification Bayesianscattering [p p][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Experiment (nucl-ex)Detectors and Experimental TechniquesNuclear ExperimentNuclear ExperimentPhysicsefficiency [particle identification]PB COLLISIONSVDP::Kjerne- og elementærpartikkelfysikk: 431Monte Carlo [numerical calculations]PB COLLISIONS PP PERFORMANCE.:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]PRIRODNE ZNANOSTI. Fizika.Time of flight:Nuclear and elementary particle physics: 431 [VDP]VDP::Nuclear and elementary particle physics: 431performancemomentum spectrum [charged particle]Nuclear and High Energy PhysicsParticle physicsMesoneducationBayesian probabilityFOS: Physical sciencesQuark gluon plasma[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencesBayesianNuclear physicsPhysics and Astronomy (all)PionHeavy Ion Experiments0103 physical sciencesddc:530010306 general physics010308 nuclear & particles physicsBayesian approach:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]ALICE experimentPERFORMANCEparticle identification ; Bayesian approachNATURAL SCIENCES. Physics.PB COLLISIONS; TEV; PP; PERFORMANCEPhysics - Data Analysis Statistics and ProbabilityQuark–gluon plasmaBayesian [statistics]TEVHigh Energy Physics::Experimentparticle identificationData Analysis Statistics and Probability (physics.data-an)
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Multiplicity dependence of the average transverse momentum in pp, p–Pb, and Pb–Pb collisions at the LHC

2013

The average transverse momentum $\langle p_{\rm T}\rangle$ versus the charged-particle multiplicity $N_{\rm ch}$ was measured in p-Pb collisions at a collision energy per nucleon-nucleon pair $\sqrt{s_{\rm NN}}=5.02$ TeV and in pp collisions at collision energies of $\sqrt{s}=0.9$, 2.76, and 7 TeV in the kinematic range $0.15<p_{\rm T}<10.0$ GeV/$c$ and $|\eta|<0.3$ with the ALICE apparatus at the LHC. These data are compared to results in Pb-Pb collisions at $\sqrt{s_{\rm NN}}=2.76$ TeV at similar charged-particle multiplicities. In pp and p-Pb collisions, a strong increase of $\langle p_{\rm T}\rangle$ with $N_{\rm ch}$ is observed, which is much stronger than that measured in Pb-Pb colli…

:Kjerne- og elementærpartikkelfysikk: 431 [VDP]Multiplicity dependencePROTON-PROTON COLLISIONSPb-Pbpp01 natural sciencesSpectral lineHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)ALICEMultiplicity dependence; transverse momentum; pp; p–Pb; and Pb–Pb collisionsPions[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]multiplicityNuclear Experiment (nucl-ex)Nuclear ExperimentNuclear ExperimentALICE experiment; Transverse momentum and particle multiplicity; p-p; p-Pb and Pb-Pb collisionsPhysicsLarge Hadron ColliderPhysicsand Pb–Pb collisionsSpectraCharged particleheavy ion:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]PRIRODNE ZNANOSTI. Fizika.:Nuclear and elementary particle physics: 431 [VDP]CHARGED-PARTICLESRoot-S=0.9Transverse momentum7 TEVParticle Physics - ExperimentParticle physicsNuclear and High Energy Physicsp–PbAstrophysics::High Energy Astrophysical PhenomenaVDP::Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431FOS: Physical sciencestransverse momentum[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]p-pNuclear physicsPion0103 physical sciencesNuclear Physics - ExperimentTransverse momentum and particle multiplicity010306 general physicsLONG-RANGEp-PbVDP::Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431ta114010308 nuclear & particles physicsPROTON-PROTON COLLISIONS; CHARGED-PARTICLES; 7 TEV; ANGULAR-CORRELATIONS; LONG-RANGEHigh Energy Physics::Phenomenology:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]ALICE experimentKaonsMultiplicity (mathematics)Collisionmultiplicity; transverse momentum; pp; p-Pb; Pb-Pb; heavy ion; ALICENATURAL SCIENCES. Physics.ANGULAR-CORRELATIONSHeavy ionHigh Energy Physics::ExperimentPROTON-PROTON COLLISIONS; CHARGED-PARTICLES; 7 TEV; ANGULAR-CORRELATIONS; LONG-RANGE; ROOT-S=0.9; MODEL; SPECTRA; PIONS; KAONSModelp-Pb and Pb-Pb collisions
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Calibration of the photon spectrometer PHOS of the ALICE experiment

2019

Journal of Instrumentation 14(05), P05025 - P05025 (2019). doi:10.1088/1748-0221/14/05/P05025

:Kjerne- og elementærpartikkelfysikk: 431 [VDP]Physics - Instrumentation and DetectorsPhotonProtonelectromagnetic [calorimeter]Detector alignment and calibration methods (lasers sources particle-beams)particlebeams)energy calibration ; calorimeter electromagnetic ; alignment geometrical ; photon spectrometer ; ALICE ; mass resolution ; performancehiukkasfysiikka01 natural sciencesalignment geometrical030218 nuclear medicine & medical imaging0302 clinical medicineALICEDetectors and Experimental TechniquesNuclear ExperimentInstrumentationphoton spectrometerphysics.ins-detMathematical PhysicsPhysicscalorimetersPhysicsDetectorVDP::Kjerne- og elementærpartikkelfysikk: 431Instrumentation and Detectors (physics.ins-det)particle-beams):Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]ddc:Calorimetercalibration [energy]PRIRODNE ZNANOSTI. Fizika.:Nuclear and elementary particle physics: 431 [VDP]VDP::Nuclear and elementary particle physics: 431alignment: geometricalCalorimeters; Detector alignment and calibration methods (lasers sources particlebeams)performancePB-PB COLLISIONSsourcesCOLISÕES DE ÍONS PESADOS RELATIVÍSTICOSspectrometer [photon]MesonInstrumentationenergy calibrationDetector alignment and calibration methods (lasers sources particlebeams)tutkimuslaitteet610FOS: Physical sciences114 Physical sciencesNuclear physics03 medical and health sciencesCalorimeters0103 physical sciencesCalibrationNuclear Physics - Experimentddc:610[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]DETECTORCalorimeterSpectrometer010308 nuclear & particles physics:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]PHOTODIODESphoton: spectrometerCalorimeters; Detector alignment and calibration methods (lasers sources particle-beams)mass resolutioncalorimeter electromagneticenergy: calibrationCalorimeters; Detector alignment and calibration methods (lasers; sources particlebeams); PB-PB COLLISIONS; PHOTODIODES; DETECTORNATURAL SCIENCES. Physics.Detector alignment and calibration methods (laserscalorimeter: electromagneticHigh Energy Physics::Experimentgeometrical [alignment]detector alignment and calibration methods (lasers sources particlebeams)Journal of instrumentation
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