Search results for "Regression analysis"

showing 10 items of 807 documents

An AFLP clock for the absolute dating of shallow-time evolutionary history based on the intraspecific divergence of southwestern European alpine plan…

2009

The dating of recent events in the history of organisms needs divergence rates based on molecular fingerprint markers. Here, we used amplified fragment length polymorphisms (AFLPs) of three distantly related alpine plant species co-occurring in the Spanish Sierra Nevada, the Pyrenees and the southwestern Alps/Massif Central to establish divergence rates. Within each of these species (Gentiana alpina, Kernera saxatilis and Silene rupestris), we found that the degree of AFLP divergence (D(N72)) between mountain phylogroups was significantly correlated with their time of divergence (as inferred from palaeoclimatic/palynological data), indicating constant AFLP divergence rates. As these rates d…

DNA PlantAlpine plantPopulationCaryophyllaceaeIntraspecific competitionDivergenceEvolution MolecularSpecies SpecificityGeneticsVicarianceGentianaAmplified Fragment Length Polymorphism AnalysiseducationEcology Evolution Behavior and SystematicsEcosystemPhylogenyeducation.field_of_studybiologyModels GeneticEcologySequence Analysis DNAPlantsbiology.organism_classificationSilene rupestrisEuropeGenetics PopulationMinuartiaBrassicaceaeMutationRegression AnalysisAmplified fragment length polymorphismMolecular ecology
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Machine learning at the interface of structural health monitoring and non-destructive evaluation

2020

While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objective of damage detection and identification in structures, they are distinct in many respects. This paper will discuss the differences and commonalities and consider ultrasonic/guided-wave inspection as a technology at the interface of the two methodologies. It will discuss how data-based/machine learning analysis provides a powerful approach to ultrasonic NDE/SHM in terms of the available algorithms, and more generally, how different techniques can accommodate the very substantial quantities of data that are provided by modern monitoring campaigns. Several machine learning methods will be illu…

Damage detectionComputer scienceTKGeneral MathematicsInterface (computing)General Physics and AstronomyCompressive sensing machine learning non-destructive evaluation structural health monitoring transfer learning ultrasoundMachine learningcomputer.software_genreMachine LearningSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineEngineeringManufacturing and Industrial FacilitiesNon destructiveHumansUltrasonicsFeature databusiness.industryUltrasonic testingGeneral EngineeringBayes TheoremSignal Processing Computer-AssistedArticlesRoboticsData CompressionIdentification (information)Regression AnalysisStructural health monitoringArtificial intelligenceTransfer of learningbusinesscomputerAlgorithmsPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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Integration of high and low resolution NDVI data for monitoring vegetation in Mediterranean environments

1998

Abstract The integration of the useful features of high and low spatial and temporal resolution satellite data is a major issue in remote sensing studies. The current work presents the development and testing of a procedure based on classification and regression analysis techniques for generating an NDVI data set with the spatial resolution of Landsat TM images and the temporal resolution of NOAA AVHRR maximum-value composites. The procedure begins with a classification of the high resolution TM data which yields land use references. These are degraded to low spatial resolution in order to produce abundance images comparable with the AVHRR data. Linear regressions are then applied between t…

Data setMultivariate statisticsFuzzy classificationTemporal resolutionSoil ScienceEnvironmental scienceGeologyRegression analysisComputers in Earth SciencesImage resolutionMultispectral ScannerNormalized Difference Vegetation IndexRemote sensing
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The interaction between social media, knowledge management and service quality: A decision tree analysis

2020

The existing literature fails to identify to which extent the utilization of social media could be relevant for increasing the effectiveness of knowledge management, in respect to overall business operations. In order to shed some light on this area we define three goals. Firstly, we investigate to what extent the different activities of clients on social media (SM), are important to the processes of knowledge management (KM) in companies. Secondly, we examine to what extent KM functions can be relevant in attaining the quality of IT services. Thirdly, we analyze to what extent KM mediates between SM and the quality of IT services, that is, which client activities on SM should be formalised…

Decision AnalysisResearch FacilitiesKnowledge managementResearch Quality AssessmentSocial SciencesSurveysInformation CentersTreesCreativityMathematical and Statistical TechniquesSociologyPsychologyEmpirical evidencemedia_commonMultidisciplinaryknowledge management ; service quality ; social media ; decision treesArchivesQStatistics05 social sciencesRCommerceSocial CommunicationEukaryotaResearch AssessmentPlantsKnowledge ManagementSocial NetworksResearch DesignOrder (business)Physical SciencesMedicineEngineering and TechnologyRegression AnalysisManagement EngineeringNetwork AnalysisResearch ArticleComputer and Information SciencesSciencemedia_common.quotation_subjectDecision treeSample (statistics)Research and Analysis Methods0502 economics and businessHumansSocial mediaQuality (business)Statistical MethodsService qualitySurvey Researchbusiness.industryDecision TreesCognitive PsychologyOrganismsBiology and Life SciencesBusiness operationsCommunicationsCognitive Science050211 marketingBusinessSocial MediaMathematics050203 business & managementNeurosciencePLOS ONE
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Quantification of low levels of amorphous content in sucrose by hyperDSC.

2005

A method was developed for the quantification of low levels of amorphous content in sucrose with hyperDSC. The method was based on the fact that the change of specific heat at the glass transition is linearly proportional to the amorphous content. It was found out that as annealing time increased, the glass transition temperature moved to a higher temperature and the change of specific heat increased. DeltaC(p) for annealed totally amorphous sucrose was 0.761+/-0.012 Jg(-1) degrees C(-1). Synthetic mixtures with various proportions of crystalline and amorphous sucrose were prepared. The following linear regression between DeltaC(p) and amorphous content was obtained: DeltaC(p)=0.0075x - 0.0…

Detection limitSucroseSucroseMaterials scienceSpecific heatCalorimetry Differential ScanningAnnealing (metallurgy)Analytical chemistryPharmaceutical ScienceMineralogyReproducibility of ResultsAmorphous solidGrindingchemistry.chemical_compoundchemistryRegression AnalysisThermodynamicsTransition TemperatureGlass transitionCrystallizationInternational journal of pharmaceutics
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Multicommutation as an environmentally friendly analytical tool in the hydride generation atomic fluorescence determination of tellurium in milk.

2003

The aim of this study is to show the advantages of the emerging multicommutation methodology based on the use of solenoid valves for Te determination in milk by hydride generation atomic fluorescence spectrometry (HG-AFS). The delivery of a series of alternating sequential insertions of small volumes of samples and reagents gives rise to new hydrodynamic processes and exciting analytical potentials by controlling the time of flow through the on/off-switched solenoid valves. This drastically reduces the reagent consumption by a factor of 4 and the generation of effluents (590 mL h(-1) instead of 750 mL h(-1) generated by the continuous-mode measurement) and also provides an improvement in th…

Detection limitTime FactorsHydrideSpectrophotometry AtomicAnalytical chemistrychemistry.chemical_elementSolenoidBiochemistryAtomic fluorescence spectrometryEnvironmentally friendlyAnalytical ChemistrySonicationMilkchemistryReagentCalibrationCalibrationAnimalsRegression AnalysisTelluriumTelluriumMicrowavesHydrogenAnalytical and bioanalytical chemistry
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Regression Wavelet Analysis for Lossless Coding of Remote-Sensing Data

2016

A novel wavelet-based scheme to increase coefficient independence in hyperspectral images is introduced for lossless coding. The proposed regression wavelet analysis (RWA) uses multivariate regression to exploit the relationships among wavelet-transformed components. It builds on our previous nonlinear schemes that estimate each coefficient from neighbor coefficients. Specifically, RWA performs a pyramidal estimation in the wavelet domain, thus reducing the statistical relations in the residuals and the energy of the representation compared to existing wavelet-based schemes. We propose three regression models to address the issues concerning estimation accuracy, component scalability, and c…

Discrete wavelet transformComputational complexity theorybusiness.industry0211 other engineering and technologiesHyperspectral imagingPattern recognitionRegression analysis02 engineering and technologyWavelet packet decompositionWaveletPrincipal component analysis0202 electrical engineering electronic engineering information engineeringGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingArtificial intelligenceElectrical and Electronic Engineeringbusiness021101 geological & geomatics engineeringRemote sensingMathematicsCoding (social sciences)IEEE Transactions on Geoscience and Remote Sensing
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Exploring Neighborhood Influences on Small-Area Variations in Intimate Partner Violence Risk: A Bayesian Random-Effects Modeling Approach

2014

This paper uses spatial data of cases of intimate partner violence against women (IPVAW) to examine neighborhood-level influences on small-area variations in IPVAW risk in a police district of the city of Valencia (Spain). To analyze area variations in IPVAW risk and its association with neighborhood-level explanatory variables we use a Bayesian spatial random-effects modeling approach, as well as disease mapping methods to represent risk probabilities in each area. Analyses show that IPVAW cases are more likely in areas of high immigrant concentration, high public disorder and crime, and high physical disorder. Results also show a spatial component indicating remaining variability attribut…

Domestic ViolenceHealth Toxicology and Mutagenesisintimate partner violencelcsh:MedicinePoison controlEmigrants and ImmigrantsRisk AssessmentArticleBayes' theoremsocial environmentResidence CharacteristicsBayesian spatial modelingEconometricsHumansWomenCitiesSpatial analysisPhysical disorderlcsh:RPublic Health Environmental and Occupational HealthRegression analysisBayes TheoremdisorderModels TheoreticalRandom effects modelBayesian spatial modeling; crime; disorder; immigration; intimate partner violence; neighborhoods; social environment; social disorganizationGeographySpainDomestic violenceRegression AnalysisneighborhoodsFemalesocial disorganizationCrimeRisk assessmentSocial psychologyimmigrationInternational Journal of Environmental Research and Public Health
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Mindfulness, inattention and performance in a driving simulator

2015

The following study will explore the link between mindfulness, driver inattention and a number of driving performance variables that were tested using the SIMUVEG driving simulator. 67 subjects between the ages of 19 and 27 completed the mindful attention awareness scale, attention-related driving errors scale and attention-related cognitive errors scale questionnaires, and were evaluated in two driving performance measures: time to line-crossing and mean speed. The results did not show a correlation between driving performance and mindfulness measures; they did show low but significant correlations with driver inattention measures. A regression analysis suggested that the specific measure …

Driving-SimulatorMindfulness//purl.org/becyt/ford/5 [https]Mechanical EngineeringApplied psychologyDriving simulatorPoison controlHuman factors and ergonomicsTransportationCognitionRegression analysisPsicologíaCIENCIAS SOCIALESInattentionScale (social sciences)DistractionPsychologyLawMindfulnessSimulation//purl.org/becyt/ford/5.1 [https]General Environmental ScienceDriving
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Interaction risk with proton pump inhibitors in general practice: significant disagreement between different drug-related information sources.

2006

Aims To compare information on drug–drug interactions (DDIs) reported on two standard drug-related information sources (Summary of Product Characteristics and Drugdex system by Micromedex), by assessing the prevalence and predictors of potential DDI with proton pump inhibitors (PPIs) in general practice. Methods From the ‘Caserta-1’ Local Health-Service database, 156 general practitioners (GPs) were recruited. From more than 180 000 individuals registered on their lists, we selected patients receiving co-prescription of PPI and medications at interaction risk, according to the Italian Summary of Product Characteristics (SPC) of PPI and Drugdex information, during the year 2003. Thereafter, …

DrugAdultMalemedicine.medical_specialtyAdolescentmedia_common.quotation_subjectPharmacology toxicologyToxicologyDrugdexDrug PrescriptionsInternal medicineEpidemiologymedicineHumansPharmacology (medical)Drug InteractionsSummary of Product CharacteristicsRisk factorMedical prescriptiondrug information sourcesSummary of Product Characteristicsmedia_commonAgedgeneral practicePharmacologyAged 80 and overObserver VariationDrug pairbusiness.industryPharmacoepidemiologydrug information sources Drugdex drug–drug interaction general practice proton pump inhibitors Summary of Product CharacteristicsRegression analysisProton Pump InhibitorsDrug interactionMiddle Ageddrug information sources; Drugdex; drug-drug interaction; general practice; proton pump inhibitors; Summary of Product CharacteristicsSpontaneous reportingFamily medicineDrug Information ServicesInformation sourceFemalebusinessFamily Practicedrug-drug interactionBritish journal of clinical pharmacology
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