Search results for "PREDICTION"

showing 10 items of 511 documents

Shipping forecasts as examples of controlled languages - A cross-linguistic (NL, FR, GE) and cross-medial analysis (print, radio)

2022

PatternControlled languagesFrame semanticsLanguages for Special Purposes[SHS.LANGUE] Humanities and Social Sciences/LinguisticsWeather PredictionSemantics
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Half-width plots, a simple tool to predict peak shape, reveal column kinetics and characterise chromatographic columns in liquid chromatography: Stat…

2013

Peak profiles in chromatography are characterised by their height, position, width and asymmetry; the two latter depend on the values of the left and right peak half-widths. Simple correlations have been found between the peak half-widths and the retention times. The representation of such correlations has been called half-width plots. For isocratic elution, the plots are parabolic, although often, the parabolas can be approximated to straight-lines. The plots can be obtained with the half-widths/retention time data for a set of solutes experiencing the same kinetics, eluted with a mobile phase at fixed or varying composition. When the analysed solutes experience different resistance to mas…

Peak profiles in chromatography are characterised by their height position width and asymmetry; the two latter depend on the values of the left and right peak half-widths. Simple correlations have been found between the peak half-widths and the retention times. The representation of such correlations has been called half-width plots. For isocratic elution the plots are parabolic although often the parabolas can be approximated to straight-lines. The plots can be obtained with the half-widths/retention time data for a set of solutes experiencing the same kinetics eluted with a mobile phase at fixed or varying composition. When the analysed solutes experience different resistance to mass transfer the plots will be solute dependent and should be obtained with the data for each solute eluted with mobile phases at varying composition. The half-width plots approach is a simple tool that facilitates the prediction of peak shape (width and asymmetry) with optimisation purposes reveal the interaction kinetics of solutes in different columns and characterise chromatographic columns. This work shows half-width plots for different situations in isocratic elution including the use of different flows the effect of temperature the modification of the stationary phase surface by an additive the existence of specific interactions within the column and the comparison of columns. The adaptation to gradient elution is also described. Previous knowledge on half-width plots is structured and analysed to which new results are added.Work (thermodynamics)Column characterisationmedia_common.quotation_subjectKineticsLiquid chromatographyAnalytical chemistryHalf-widthsInteraction kineticsBiochemistryAsymmetryAnalytical ChemistryPeak shapeColumn (typography)Position (vector)Mass transferPhase (matter)media_commonChromatographyElutionChemistryOrganic ChemistryGeneral MedicineModels TheoreticalKineticsPredictionChromatography LiquidJournal of Chromatography A
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Machine-learned selection of psychological questionnaire items relevant to the development of persistent pain after breast cancer surgery

2018

Background: Prevention of persistent pain after breast cancer surgery, via early identification of patients at high risk, is a clinical need. Psychological factors are among the most consistently proposed predictive parameters for the development of persistent pain. However, repeated use of long psychological questionnaires in this context may be exhaustive for a patient and inconvenient in everyday clinical practice. Methods: Supervised machine learning was used to create a short form of questionnaires that would provide the same predictive performance of pain persistence as the full questionnaires in a cohort of 1000 women followed up for 3 yr after breast cancer surgery. Machine-learned …

Persistence (psychology)PREDICTIONINVENTORYAngerpatientsCohort StudiesMachine LearningFEAR-AVOIDANCE MODEL0302 clinical medicine030202 anesthesiologySurveys and Questionnairespsychological questionnairesANXIETYProspective cohort studyMastectomySCALEDepression (differential diagnoses)Pain MeasurementPain PostoperativeDepressionmachine-learningFear-avoidance modelMiddle AgedCohortAnxietyFemaleChronic PainSENSITIVITYmedicine.symptomAdultmedicine.medical_specialtyBreast NeoplasmsContext (language use)behavioral disciplines and activitiesVALIDATIONCHRONIC MUSCULOSKELETAL PAIN03 medical and health sciencesbreast cancerBreast cancerPredictive Value of TestsmedicineHumanspersisting painddc:610Psychiatric Status Rating ScalesACUTE POSTOPERATIVE PAINbusiness.industry3126 Surgery anesthesiology intensive care radiologymedicine.diseaseSurgeryAnesthesiology and Pain MedicinePROSPECTIVE COHORTdata sciencebusiness030217 neurology & neurosurgeryBritish Journal of Anaesthesia
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Analyzing and forecasting the performance of water drive gas reservoirs

2019

Petroleum engineeringPerformance predictionEnvironmental scienceGeneral MedicineAGH Drilling, Oil, Gas
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Neutron-skin effect in direct-photon and charged hadron-production in Pb+Pb collisions at the LHC

2017

A well-established observation in nuclear physics is that in neutron-rich spherical nuclei the distribution of neutrons extends farther than the distribution of protons. In this work, we scrutinize the influence of this so called neutron-skin effect on the centrality dependence of high-$p_{\rm T}$ direct-photon and charged-hadron production. We find that due to the estimated spatial dependence of the nuclear parton distribution functions, it will be demanding to unambiguously expose the neutron-skin effect with direct photons. However, when taking a ratio between the cross sections for negatively and positively charged high-$p_{\rm T}$ hadrons, even centrality-dependent nuclear-PDF effects …

PhotonPhysics and Astronomy (miscellaneous)Nuclear TheoryHadronNuclear TheoryFOS: Physical sciencesATLAS DETECTORParton114 Physical sciences01 natural sciencesCENTRALITYNuclear physicsNuclear Theory (nucl-th)High Energy Physics - Phenomenology (hep-ph)DEPENDENCE0103 physical sciencescharged-hadron productionNeutronROOT-S(NN)=2.76 TEVSpatial dependence010306 general physicsNuclear ExperimentEngineering (miscellaneous)PhysicsLarge Hadron Collider010308 nuclear & particles physicsQCD PREDICTIONSLEAD COLLISIONSObservableneutron-skin effectPPB COLLISIONS3. Good healthHigh Energy Physics - PhenomenologyDistribution functionRegular Article - Theoretical Physicsydinfysiikka
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Predicting ACL Injury Using Machine Learning on Data From an Extensive Screening Test Battery of 880 Female Elite Athletes

2022

Background: Injury risk prediction is an emerging field in which more research is needed to recognize the best practices for accurate injury risk assessment. Important issues related to predictive machine learning need to be considered, for example, to avoid overinterpreting the observed prediction performance. Purpose: To carefully investigate the predictive potential of multiple predictive machine learning methods on a large set of risk factor data for anterior cruciate ligament (ACL) injury; the proposed approach takes into account the effect of chance and random variations in prediction performance. Study Design: Case-control study; Level of evidence, 3. Methods: The authors used 3-dime…

Physical Therapy Sports Therapy and Rehabilitationcross-validationMachine LearningurheiluHumansprediction significanceOrthopedics and Sports MedicinejoukkueurheiluProspective StudiesliikeanalyysisuorituskykyurheiluvammatACL injuryAnterior Cruciate Ligament Injuriesmotion analysispredictive methodsmachine learningkoneoppiminenAthletesCase-Control StudiesAthletic InjuriesennustettavuusFemaleteam sportsloukkaantuminen (fyysinen)urheilijat
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GW190412: Observation of a binary-black-hole coalescence with asymmetric masses

2020

LIGO Scientific Collaboration and Virgo Collaboration: et al.

Physics and Astronomy (miscellaneous)AstronomyGravitational wave detection Gravitational wave sources Gravitational waves Astronomical black holesagn discsAstrophysicsdetector: network01 natural sciencesGeneral Relativity and Quantum CosmologyPhysics Particles & Fieldsstar-clustersgravitational waves black holesgravitational waves; black holesAGN DISCSgravitational waves; black holes; LIGO; Virgoblack holegeneral relativityLIGOgravitational waveQCQBPhysicsSettore FIS/01astro-ph.HEHigh Energy Astrophysical Phenomena (astro-ph.HE)GRAVITATIONAL WAVE-FORMSPROGENITORSCOMPACT BINARIESblack hole: spinPhysicsPERTURBATIONSgravitational wavesPhysical Sciences[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]Gravitational wave detectionAstrophysics - High Energy Astrophysical PhenomenaMETALLICITYmass: asymmetrymetallicitydata analysis methodGeneral relativityMERGERSgr-qcAstrophysics::High Energy Astrophysical PhenomenamultipolePREDICTIONSFOS: Physical sciencesgravitational wavesblack holesGeneral Relativity and Quantum Cosmology (gr-qc)Astronomy & Astrophysicsgravitational radiation: direct detectionGravitational wavesGeneral Relativity and Quantum CosmologyTheory of relativityBinary black holeSettore FIS/05 - Astronomia e AstrofisicaAstronomical black holesbinary: coalescence0103 physical sciencesnumerical methodsddc:530STAR-CLUSTERS010306 general physicsnumerical calculationsSTFCAstrophysiqueGravitational wave sourcesScience & Technologymass: solar010308 nuclear & particles physicsGravitational waveVirgogravitational radiationRCUKblack hole: massMass ratioblack holesLIGOEVOLUTIONgravitational radiation detectorBlack holedetector: sensitivityPhysics and Astronomyblack hole: binaryrelativity theorygravitational radiation: emissionmass ratioMultipole expansion[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Astrophysics and astroparticle physics
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Pseudorapidity Density of Charged Particles inp+PbCollisions atsNN=5.02  TeV

2013

The charged-particle pseudorapidity density measured over four units of pseudorapidity in nonsingle-diffractive p + Pb collisions at a center-of-mass energy per nucleon pair root s(NN) = 5.02 TeV is presented. The average value at midrapidity is measured to be 16.81 +/- 0.71 (syst), which corresponds to 2.14 +/- 0.17 (syst) per participating nucleon, calculated with the Glauber model. This is 16% lower than in nonsingle-diffractive pp collisions interpolated to the same collision energy and 84% higher than in d + Au collisions at root s(NN) = 0.2 TeV. The measured pseudorapidity density in p + Pb collisions is compared to model predictions and provides new constraints on the description of …

PhysicsHigh energyParticle physics010308 nuclear & particles physicsModel predictionGeneral Physics and Astronomy01 natural sciencesCharged particleNuclear physicsPseudorapidity0103 physical sciencesHigh Energy Physics::ExperimentMultiplicity (chemistry)Nuclear Experiment010306 general physicsNucleonGlauberTellurium compoundsPhysical Review Letters
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Cu charge radii reveal a weak sub-shell effect at N=40

2016

Collinear laser spectroscopy on Cu58-75 isotopes was performed at the CERN-ISOLDE radioactive ion beam facility. In this paper we report on the isotope shifts obtained from these measurements. State-of-the-art atomic physics calculations have been undertaken in order to determine the changes in mean-square charge radii δ(r2)A,A′ from the observed isotope shifts. A local minimum is observed in these radii differences at N=40, providing evidence for a weak N=40 sub-shell effect. However, comparison of δ(r2)A,A′ with a droplet model prediction including static deformation deduced from the spectroscopic quadrupole moments, points to the persistence of correlations at N=40.

PhysicsIon beamIsotope010308 nuclear & particles physicsModel predictionShell (structure)Charge (physics)[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]01 natural sciencesPhysique atomique et nucléaire0103 physical sciencesQuadrupolePhysics::Accelerator PhysicsPhysics::Atomic PhysicsPräzisionsexperimente - Abteilung BlaumAtomic physicsDeformation (engineering)010306 general physicsSpectroscopyNuclear Experiment
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Charge Radii of Hyperons

1994

The momentum projected SU(3) Chiral Color Dielectric Model (CCDM) is employed to calculate the charge root mean square radii and charge distributions of hyperons. We compare our result with Skyrme, MIT bag and Cloudy Bag model results. The charge distribution of $\Lambda$ in CCDM is similar to that of Skyrme Model prediction.

PhysicsNuclear and High Energy PhysicsNuclear TheoryModel predictionHigh Energy Physics::PhenomenologyNuclear TheoryHyperonGeneral Physics and AstronomyCharge densityFOS: Physical sciencesAstronomy and AstrophysicsCharge (physics)DielectricMomentumRoot mean squareNuclear Theory (nucl-th)Quantum electrodynamicsChiral color
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