Search results for "Prediction."

showing 10 items of 490 documents

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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Current Evidence, Challenges, and Opportunities of Physiologically Based Pharmacokinetic Models of Atorvastatin for Decision Making

2021

Atorvastatin (ATS) is the gold-standard treatment worldwide for the management of hypercholesterolemia and prevention of cardiovascular diseases associated with dyslipidemia. Physiologically based pharmacokinetic (PBPK) models have been positioned as a valuable tool for the characterization of complex pharmacokinetic (PK) processes and its extrapolation in special sub-groups of the population, leading to regulatory recognition. Several PBPK models of ATS have been published in the recent years, addressing different aspects of the PK properties of ATS. Therefore, the aims of this review are (i) to summarize the physicochemical and pharmacokinetic characteristics involved in the time-course o…

Physiologically based pharmacokinetic modellingModel predictionAtorvastatinPopulationPharmaceutical ScienceReviewTarget populationComputational biologyP-glycoprotein030226 pharmacology & pharmacy03 medical and health sciencesPharmacy and materia medica0302 clinical medicinePharmacokineticsmedicineopen acid formeducationeducation.field_of_studybusiness.industrysolubilityatorvastatinactive metabolitesRS1-441lactonizationDose optimizationMetabolic enzymes030220 oncology & carcinogenesisbusinessmedicine.drugPharmaceutics
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Less Is More: Different Weight of the ATS/IDSA'07 Minor Criteria on Mortality Prediction in Severe Pneumonia (SCAP).

2009

Pneumoniamedicine.medical_specialtybusiness.industryInternal medicinemedicineMortality predictionmedicine.diseasebusinessA47. COMMUNITY ACQUIRED PNEUMONIA AND HEALTHCARE ASSOCIATED PNEUMONIA
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Non-separable local polynomial regression cell-average multiresolution operators. Application to compression of images

2016

Abstract Cell-average multiresolution Harten׳s algorithms have been satisfactorily used to compress data. These schemes are based on two operators: decimation and prediction. The accuracy of the method depends on the prediction operator. In order to design a precise function, local polynomial regression has been used in the last years. This paper is devoted to construct a family of non-separable two-dimensional linear prediction operators approximating the real values with this procedure. Some properties are proved as the order of the scheme and the stability. Some numerical experiments are performed comparing the new methods with the classical linear method.

Polynomial regressionDecimationMathematical optimizationComputer Networks and CommunicationsApplied Mathematics020206 networking & telecommunicationsLinear prediction010103 numerical & computational mathematics02 engineering and technologyFunction (mathematics)01 natural sciencesStability (probability)Separable spaceOperator (computer programming)Control and Systems EngineeringCompression (functional analysis)Signal Processing0202 electrical engineering electronic engineering information engineering0101 mathematicsAlgorithmMathematicsJournal of the Franklin Institute
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