Search results for "time factor"

showing 10 items of 3219 documents

Effects of elevated hydrogen peroxide 'strip' bleaching on surface and subsurface enamel including subsurface histomorphology, micro-chemical composi…

2007

Abstract Objectives This study examined the effects of elevated concentration hydrogen peroxide tooth whitening treatments on tooth surface and subsurface integrity. Methods Sound human molars were ground and polished to prepare an uniform substrate for bleaching treatments. A cycling treatment included alternating ex vivo human salivary exposures with bleaching treatments under conditions of controlled temperature and durations of treatment. Bleaching was carried out with prototype bleaching strips containing hydrogen peroxide gel at 13% and 16% concentrations. A non-bleached group was used as a control. Treatments included 28 h of total bleaching exposure in vitro . Surface color was meas…

MolarToothbrushingMaterials scienceTime Factorsgenetic structuresBleachDentistryColorSpectrum Analysis RamanPeroxideFluorescencechemistry.chemical_compoundstomatognathic systemHardnessMaterials TestingDentinmedicineTooth BleachingHumansHydrogen peroxideDental EnamelSalivaGeneral DentistryDentifricesTooth whiteningMicroscopy ConfocalEnamel paintbusiness.industryTemperatureTooth surfaceHydrogen PeroxideOxidantsstomatognathic diseasesmedicine.anatomical_structurechemistryvisual_artDentinvisual_art.visual_art_mediumMicroscopy Electron ScanningColorimetrysense organsbusinessNuclear chemistryJournal of dentistry
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Efficacy and safety of adding alirocumab to rosuvastatin versus adding ezetimibe or doubling the rosuvastatin dose in high cardiovascular-risk patien…

2015

OBJECTIVE: To compare lipid-lowering efficacy of adding alirocumab to rosuvastatin versus other treatment strategies (NCT01730053).METHODS: Patients receiving baseline rosuvastatin regimens (10 or 20 mg) were randomized to: add-on alirocumab 75 mg every-2-weeks (Q2W) (1-mL subcutaneous injection via pre-filled pen); add-on ezetimibe 10 mg/day; or double-dose rosuvastatin. Patients had cardiovascular disease (CVD) and low-density lipoprotein cholesterol (LDL-C) ≥70 mg/dL (1.8 mmol/L) or CVD risk factors and LDL-C ≥100 mg/dL (2.6 mmol/L). In the alirocumab group, dose was blindly increased at Week 12 to 150 mg Q2W (also 1-mL volume) in patients not achieving their LDL-C target. Primary endpoi…

Monoclonal antibodymedicine.medical_specialtyTime FactorsSettore MED/09 - Medicina InternaInjections SubcutaneousHypercholesterolemiaUrology030204 cardiovascular system & hematologyPharmacologyAntibodies Monoclonal Humanizedlaw.inventionPCSK9Rosuvastatin03 medical and health sciences0302 clinical medicineDouble-Blind MethodEzetimibeRandomized controlled triallawmedicineClinical endpointHumansLow-density lipoprotein cholesterolRosuvastatinIn patient030212 general & internal medicineRosuvastatin CalciumAlirocumab; Ezetimibe; Low-density lipoprotein cholesterol; Monoclonal antibody; PCSK9; Rosuvastatin; Cardiology and Cardiovascular MedicineRetrospective StudiesAlirocumabDose-Response Relationship Drugbusiness.industryAnticholesteremic AgentsPCSK9Antibodies Monoclonalnutritional and metabolic diseasesCholesterol LDLEzetimibeRosuvastatin CalciumTreatment OutcomeCardiovascular DiseasesDrug Therapy CombinationHydroxymethylglutaryl-CoA Reductase InhibitorsbusinessCardiology and Cardiovascular MedicineFollow-Up StudiesAlirocumabmedicine.drugAtherosclerosis
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Repetitive TMS temporarily alters brain diffusion

2004

The authors investigated whether repetitive transcranial magnetic stimulation (rTMS) at 1 Hz (12 minutes; 90% of motor threshold) to the primary motor cortex (M1) leads to changes in diffusion-weighted imaging (DWI). After the rTMS train, there was a temporary small restriction in diffusion within the targeted left M1 that disappeared after 5 minutes. These findings provide a physiologic correlate to the reported behavioral consequences of off-line 1-Hz rTMS and reveal the transitory nature of the effects.

Motor thresholdAdultMaleTime Factorsmedicine.medical_treatmentMotor Cortexdiffusion-weighted imaging repetitive transcranial magnetic stimulationMagnetic Resonance ImagingTranscranial magnetic stimulationDiffusionMagneticsmedicineHumansNeurology (clinical)Primary motor cortexDiffusion (business)PsychologyNeuroscience
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Poisson convergence on continuous time branching random walks and multistage carcinogenesis.

1982

A theorem for Poisson convergence on realizations of two-dimensional Branching Random Walks with an underlying continuous time Markov Branching Process is proved. This result can be used to gain an approximation for the number of cells having sustained a certain deficiency after a long time in multistage carcinogenesis.

Multistage carcinogenesisTime FactorsMarkov chainApplied MathematicsPoisson distributionRandom walkAgricultural and Biological Sciences (miscellaneous)Models BiologicalCombinatoricsBranching (linguistics)symbols.namesakeCell Transformation NeoplasticBranching random walkModeling and SimulationNeoplasmsConvergence (routing)symbolsApplied mathematicsAnimalsHumansMathematicsMathematicsBranching processJournal of mathematical biology
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Measuring Connectivity in Linear Multivariate Processes: Definitions, Interpretation, and Practical Analysis

2011

This tutorial paper introduces a common framework for the evaluation of widely used frequency-domain measures of coupling (coherence, partial coherence) and causality (directed coherence, partial directed coherence) from the parametric representation of linear multivariate (MV) processes. After providing a comprehensive time-domain definition of the various forms of connectivity observed in MV processes, we particularize them to MV autoregressive (MVAR) processes and derive the corresponding frequency-domain measures. Then, we discuss the theoretical interpretation of these MVAR-based connectivity measures, showing that each of them reflects a specific time-domain connectivity definition an…

Multivariate statisticsInformation transferTime FactorsArticle SubjectImmunology and Microbiology (all)Computer scienceBiostatisticslcsh:Computer applications to medicine. Medical informaticsGeneral Biochemistry Genetics and Molecular BiologyCausality (physics)HumansRepresentation (mathematics)Parametric statisticsBiochemistry Genetics and Molecular Biology (all)General Immunology and MicrobiologyMedicine (all)Applied MathematicsMedicine (all); Modeling and Simulation; Immunology and Microbiology (all); Biochemistry Genetics and Molecular Biology (all); Applied MathematicsElectroencephalographySignal Processing Computer-AssistedGeneral MedicineCoherence (statistics)Nonlinear DynamicsAutoregressive modelModeling and SimulationFrequency domainSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisLinear Modelslcsh:R858-859.7AlgorithmResearch ArticleComputational and Mathematical Methods in Medicine
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Stochastic Nonlinear Time Series Forecasting Using Time-Delay Reservoir Computers: Performance and Universality

2014

International audience; Reservoir computing is a recently introduced machine learning paradigm that has already shown excellent performances in the processing of empirical data. We study a particular kind of reservoir computers called time-delay reservoirs that are constructed out of the sampling of the solution of a time-delay diFFerential equation and show their good performance in the forecasting of the conditional covariances associated to multivariate discrete-time nonlinear stochastic processes of VEC-GARCH type as well as in the prediction of factual daily market realized volatilities computed with intraday quotes, using as training input daily log-return series of moderate size. We …

Multivariate statisticsMathematical optimizationTime FactorsRealized varianceDifferential equationComputer scienceCognitive NeuroscienceMathematicsofComputing_NUMERICALANALYSIS02 engineering and technologyComputer Communication NetworksArtificial Intelligence0502 economics and business0202 electrical engineering electronic engineering information engineeringHumansTime seriesSimulation050205 econometrics Stochastic Processes[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Series (mathematics)Artificial neural networkComputersStochastic process05 social sciencesReservoir computingSampling (statistics)Universality (dynamical systems)Nonlinear systemNonlinear DynamicsData Interpretation Statistical020201 artificial intelligence & image processingNeural Networks ComputerForecastingSSRN Electronic Journal
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Detecting nonlinear causal interactions between dynamical systems by non-uniform embedding of multiple time series.

2010

This study introduces a new approach for the detection of nonlinear Granger causality between dynamical systems. The approach is based on embedding the multivariate (MV) time series measured from the systems X and Y by means of a sequential, non-uniform procedure, and on using the corrected conditional entropy (CCE) as unpredictability measure. The causal coupling from X to Y is quantified as the relative decrease of CCE measured after allowing the series of X to enter the embedding procedure for the description of Y. The ability of the approach to quantify nonlinear causality is assessed on MV time series measured from simulated dynamical systems with unidirectional coupling (the Rössler-…

Multivariate statisticsTime FactorsDynamical systems theoryEntropyBiomedical EngineeringMachine learningcomputer.software_genreHumansStatistical physicsTime seriesMathematicsVisual CortexConditional entropyCouplingSignal processingbusiness.industryMagnetoencephalographyReproducibility of ResultsSignal Processing Computer-AssistedSomatosensory CortexNonlinear systemNonlinear DynamicsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisEmbeddingArtificial intelligencebusinesscomputer
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Measuring frequency domain granger causality for multiple blocks of interacting time series

2011

In the past years, several frequency-domain causality measures based on vector autoregressive time series modeling have been suggested to assess directional connectivity in neural systems. The most followed approaches are based on representing the considered set of multiple time series as a realization of two or three vector-valued processes, yielding the so-called Geweke linear feedback measures, or as a realization of multiple scalar-valued processes, yielding popular measures like the directed coherence (DC) and the partial DC (PDC). In the present study, these two approaches are unified and generalized by proposing novel frequency-domain causality measures which extend the existing meas…

Multivariate statisticsTime FactorsGeneral Computer ScienceLogarithmScalar (mathematics)Complex systemTopologyModels BiologicalNeurophysiological time serieBlock-based connectivity analysiGranger causalityStatisticsHumansComputer SimulationDirected coherenceMathematicsNumerical analysisPartial directed coherenceBrainElectroencephalographyVector autoregressive (VAR) modelBrain WavesCausalityAutoregressive modelFrequency domainComputer ScienceSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityAlgorithmsBiotechnologyBiological Cybernetics
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Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions.

2010

The Partial Directed Coherence (PDC) and its generalized formulation (gPDC) are popular tools for investigating, in the frequency domain, the concept of Granger causality among multivariate (MV) time series. PDC and gPDC are formalized in terms of the coefficients of an MV autoregressive (MVAR) model which describes only the lagged effects among the time series and forsakes instantaneous effects. However, instantaneous effects are known to affect linear parametric modeling, and are likely to occur in experimental time series. In this study, we investigate the impact on the assessment of frequency domain causality of excluding instantaneous effects from the model underlying PDC evaluation. M…

Multivariate statisticsTime FactorsGeneral Computer ScienceModels NeurologicalPattern Recognition AutomatedCardiovascular Physiological PhenomenaElectrocardiographyGranger causalityArtificial IntelligenceEconometricsCoherence (signal processing)AnimalsHumansComputer SimulationEEGPartial Directed CoherenceMathematicsCausal modelMultivariate autoregressive modelComputer Science (all)Linear modelElectroencephalographySignal Processing Computer-AssistedCardiovascular variabilityAutoregressive modelFrequency domainParametric modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityMultivariate time serieLinear ModelsNeural Networks ComputerBiotechnologyBiological cybernetics
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Viral Mutation Rates

2010

Accurate estimates of virus mutation rates are important to understand the evolution of the viruses and to combat them. However, methods of estimation are varied and often complex. Here, we critically review over 40 original studies and establish criteria to facilitate comparative analyses. The mutation rates of 23 viruses are presented as substitutions per nucleotide per cell infection (s/n/c) and corrected for selection bias where necessary, using a new statistical method. The resulting rates range from 108 to106 s/n/c for DNA viruses and from 106 to 104 s/n/c for RNA viruses. Similar to what has been shown previously for DNA viruses, there appears to be a negative correlation between mut…

Mutation rateTime FactorsvirusesImmunologyBiologyMicrobiologyVirusEvolution Molecularchemistry.chemical_compoundVirologyAnimalsHumansRNA VirusesNucleotideIndelGenome sizechemistry.chemical_classificationGeneticsModels GeneticDNA VirusesRNAVirologyGenetic Diversity and EvolutionchemistryInsect ScienceMutationVirusesMutation (genetic algorithm)DNA
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