Search results for "PREDICT"

showing 10 items of 2174 documents

QSAR Analysis of Hypoglycemic Agents Using the Topological Indices

2001

The molecular topology model and discriminant analysis have been applied to the prediction of some pharmacological properties of hypoglycemic drugs using multiple regression equations with their statistical parameters. Regression analysis showed that the molecular topology model predicts these properties. The corresponding stability (cross-validation) studies performed on the selected prediction models confirmed the goodness of the fits. The method used for hypoglycemic activity selection was a linear discriminant analysis (LDA). We make use of the pharmacological distribution diagrams (PDDs) as a visualizing technique for the identification and selection of new hypoglycemic agents, and we …

Quantitative structure–activity relationshipbusiness.industryStatistical parameterRegression analysisPattern recognitionGeneral ChemistryMachine learningcomputer.software_genreLinear discriminant analysisStability (probability)Computer Science ApplicationsComputational Theory and MathematicsLinear regressionArtificial intelligencebusinesscomputerPredictive modellingSelection (genetic algorithm)Information SystemsMathematics
researchProduct

First global next-to-leading order determination of diffractive parton distribution functions and their uncertainties within the {\tt xFitter} framew…

2018

We present {\tt GKG18-DPDFs}, a next-to-leading order (NLO) QCD analysis of diffractive parton distribution functions (diffractive PDFs) and their uncertainties. This is the first global set of diffractive PDFs determined within the {\tt xFitter} framework. This analysis is motivated by all available and most up-to-date data on inclusive diffractive deep inelastic scattering (diffractive DIS). Heavy quark contributions are considered within the framework of the Thorne-Roberts (TR) general mass variable flavor number scheme (GM-VFNS). We form a mutually consistent set of diffractive PDFs due to the inclusion of high-precision data from H1/ZEUS combined inclusive diffractive cross sections me…

QuarkParticle physicsPhysics and Astronomy (miscellaneous)parton distribution functionsHERAPREDICTIONSFOS: Physical scienceslcsh:AstrophysicsPartonhiukkasfysiikkaPROTON114 Physical sciences01 natural sciencesZeus (malware)CROSS-SECTIONSHigh Energy Physics - ExperimentDEEP-INELASTIC SCATTERINGHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)deep inelastic scatteringlcsh:QB460-4660103 physical sciencesquantum chromodynamicslcsh:Nuclear and particle physics. Atomic energy. RadioactivityQCD ANALYSIS010306 general physicsEngineering (miscellaneous)PhysicsQuantum chromodynamicsLarge Hadron Collider010308 nuclear & particles physicsHERADeep inelastic scatteringHigh Energy Physics - PhenomenologyDistribution functionTESTSPHOTOPRODUCTIONlcsh:QC770-798LHC
researchProduct

Search for the Associated Production of the Standard-Model Higgs Boson in the All-Hadronic Channel

2009

We report on a search for the standard-model Higgs boson in pp collisions at s=1.96 TeV using an integrated luminosity of 2.0 fb(-1). We look for production of the Higgs boson decaying to a pair of bottom quarks in association with a vector boson V (W or Z) decaying to quarks, resulting in a four-jet final state. Two of the jets are required to have secondary vertices consistent with B-hadron decays. We set the first 95% confidence level upper limit on the VH production cross section with V(-> qq/qq('))H(-> bb) decay for Higgs boson masses of 100-150 GeV/c(2) using data from run II at the Fermilab Tevatron. For m(H)=120 GeV/c(2), we exclude cross sections larger than 38 times the standard-m…

QuarkParticle physicsStandardsFinal stateFermilab TevatronHiggs bosonTevatronFOS: Physical sciencesGeneral Physics and AstronomyElementary particleddc:500.201 natural sciences114 Physical sciencesStandard ModelVector bosonHigh Energy Physics - ExperimentNuclear physicsHigh Energy Physics - Experiment (hep-ex)Particle decayTellurium compounds0103 physical sciencesJetsB-hadron decaysHigh energy physics010306 general physicsBosonsBosonStandard-model Higgs bosonsPhysicsIntegrated luminosityHIGGS BOSONModel predictionCross section010308 nuclear & particles physicsPhysicsHigh Energy Physics::PhenomenologyConfidence levelsUpper limits3. Good healthVector bosonProduction cross sectionBottom quarksSecondary verticesHiggs bosonCDFHigh Energy Physics::Experiment
researchProduct

Inference and prediction in bulk arrival queues and queues with service in stages

1998

This paper deals with the statistical analysis from a Bayesian point of view, of bulk arrival queues where the batch size is considered as a fixed constant. The focus is on prediction of the usual measures of performance of the system in the steady state. The probability generating function of the posterior predictive distribution of the number of customers in the system and the Laplace transform of the posterior predictive distribution of the waiting time in the system are obtained. Numerical inversion of these transforms is considered. Inference and prediction of its equivalent single queue with service in stages is also discussed.

Queueing theoryPosterior predictive distributionLaplace transformManagement of Technology and InnovationModeling and SimulationBayesian probabilityPosterior probabilityFork–join queueBayesian inferenceQueueAlgorithmMathematics
researchProduct

THERP and HEART integrated methodology for human error assessment

2015

Abstract THERP and HEART integrated methodology is proposed to investigate accident scenarios that involve operator errors during high-dose-rate (HDR) treatments. The new approach has been modified on the basis of fuzzy set concept with the aim of prioritizing an exhaustive list of erroneous tasks that can lead to patient radiological overexposures. The results allow for the identification of human errors that are necessary to achieve a better understanding of health hazards in the radiotherapy treatment process, so that it can be properly monitored and appropriately managed.

RadiationComputer scienceProcess (engineering)Medical cyclotronHuman errorFuzzy setTechnique for Human Error Rate PredictionFuzzy logicReliability engineeringIdentification (information)PETRadiotherapy treatmentRadiopharmaceuticalsRadioactive air effluentSettore ING-IND/19 - Impianti Nucleari
researchProduct

The upgraded ISOLDE yield database – A new tool to predict beam intensities

2020

At the CERN-ISOLDE facility a variety of radioactive ion beams are available to users of the facility. The number of extractable isotopes estimated from yield database data exceeds 1000 and is still increasing. Due to high demand and scarcity of available beam time, precise experiment planning is required. The yield database stores information about radioactive beam yields and the combination of target material and ion source needed to extract a certain beam along with their respective operating conditions. It allows to investigate the feasibility of an experiment and the estimation of required beamtime. With the increasing demand for ever more exotic beams, needs arise to extend the functi…

Radioactive ion beamsNuclear and High Energy PhysicsYieldsComputer sciencecomputer.software_genre114 Physical sciences01 natural sciencesISOLDEDatabaseFLUKACERN0103 physical sciencesddc:530Production Yield010306 general physicsInstrumentationLarge Hadron ColliderDatabase010308 nuclear & particles physicsIn-target productionYield predictionCross sectionsYield (chemistry)ABRABLAIONIZATIONRelease efficiencycomputerRadioactive beamBeam (structure)Radioactive beamsNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
researchProduct

Exploring single polarization X-band weather radar potentials for local meteorological and hydrological applications

2015

Summary The aim of this study is to evaluate the potential use of a low-cost single polarization X-band weather radar, verified by a disdrometer and a dense rain gauge network, installed as a supporting tool for hydrological applications and for monitoring the urban area of Palermo (Italy). Moreover, this study focuses on studying the temporal variability of the Z–R relation for Mediterranean areas. The radar device is provided with an automatic operational ground-clutter filter developed by the producer. Attention has been paid to the development of blending procedures between radar measurements and other auxiliary instruments and to their suitability for both meteorological and hydrologic…

Rain gaugeMeteorologyDisdrometerHydrological modellingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaX bandMediterraneanlaw.inventionDisdrometerlawX-band radarEnvironmental scienceSpatial variabilityWeather radarZ–R calibrationRadarPredictabilityWater Science and TechnologyRemote sensingJournal of Hydrology
researchProduct

Understanding Prediction Limits Through Unbiased Branches

2006

The majority of currently available branch predictors base their prediction accuracy on the previous k branch outcomes. Such predictors sustain high prediction accuracy but they do not consider the impact of unbiased branches which are difficult-to-predict. In this paper, we quantify and evaluate the impact of unbiased branches and show that any gain in prediction accuracy is proportional to the frequency of unbiased branches. By using the SPECcpu2000 integer benchmarks we show that there are a significant proportion of unbiased branches which severely impact on prediction accuracy (averaging between 6% and 24% depending on the prediction context used).

Ramification (botany)StatisticsEconometricsContext (language use)Unbiased EstimationBest linear unbiased predictionBranch predictorMathematicsInteger (computer science)
researchProduct

Forecasts on the development of hydrogen refuelling infrastructures in Portugal

2021

In Portugal, the transition to new forms of mobility has begun in recent years, but there are still obstacles to overcome. Currently, hybrid vehicles (PHEVs) are the most widespread and accepted by the community and that is probably due to range anxiety, having in fact the possibility of double charging (both through the thermal engine and the electric battery). Furthermore, it must be considered that in addition to electric vehicles, another valid alternative to mobility in the near future is the hydrogen vehicles one. These appear to be even more sustainable from the point of view of air emissions, but on the other hand the costs for the production of hydrogen are still too high. Then, th…

Range anxietybusiness.industryMarket trendEnvironmental economicsSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciDiscount pointsHydrogen vehicleMarket researchSettore ING-IND/31 - ElettrotecnicaSmart gridFuel cellsProduction (economics)BusinessElectric mobility Forecasting for FCEV Fuel cell vehicles Hydrogen Plug-in hybrid Predictive model Socio-technical transition
researchProduct

2021

ObjectivesTo assess the ability to predict individual unfavourable future status and development in the 20m shuttle run test (20MSRT) during adolescence with machine learning (random forest (RF) classifier).MethodsData from a 2-year observational study (2013‒2015, 12.4±1.3 years, n=633, 50% girls), with 48 baseline characteristics (questionnaires (demographics, physical, psychological, social and lifestyle factors), objective measurements (anthropometrics, fitness characteristics, physical activity, body composition and academic scores)) were used to predict: (Task 1) unfavourable future 20MSRT status (identification of individuals in the lowest 20MSRT tertile after 2 years), and (Task 2) u…

Receiver operating characteristicbusiness.industryPhysical fitnessPsychological interventionPhysical Therapy Sports Therapy and RehabilitationAnthropometryMachine learningcomputer.software_genrePredictive powerOrthopedics and Sports MedicineObservational studyArtificial intelligencebusinessPsychologycomputerShuttle run testSocial statusBMJ Open Sport & Exercise Medicine
researchProduct