Search results for " Variability"

showing 10 items of 853 documents

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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Vector Autoregressive Fractionally Integrated Models to Assess Multiscale Complexity in Cardiovascular and Respiratory Time Series

2020

Cardiovascular variability is the result of the activity of several physiological control mechanisms, which involve different variables and operate across multiple time scales encompassing short term dynamics and long range correlations. This study presents a new approach to assess the multiscale complexity of multivariate time series, based on linear parametric models incorporating autoregressive coefficients and fractional integration. The approach extends to the multivariate case recent works introducing a linear parametric representation of multiscale entropy, and is exploited to assess the complexity of cardiovascular and respiratory time series in healthy subjects studied during postu…

Multivariate statisticsvector autoregressive fractionally integrated (VARFI) modelComputer scienceQuantitative Biology::Tissues and OrgansPhysics::Medical Physicssystolic arterial pressure (SAP)Cardiovascular variabilitycomputer.software_genreCorrelationAutoregressive modelmultiscale entropy (MSE)heart period (HP)Settore ING-INF/06 - Bioingegneria Elettronica E InformaticaParametric modelMultiple timeEntropy (information theory)Data miningTime seriescomputerParametric statistics2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)
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Adaptive trends of sequence compositional complexity over pandemic time in the SARS-CoV-2 coronavirus

2021

In the brief time since the outbreak of the COVID 19 pandemic, and despite its proofreading mechanism, the SARS-CoV-2 coronavirus has accumulated a significant amount of genetic variability through recombination and mutation events. To test evolutionary trends that could inform us on the adaptive process of the virus to its human host, we summarize all this variability in the Sequence Compositional Complexity (SCC), a measure of genome heterogeneity that captures the mutational and recombinational changes accumulated by a nucleotide sequence along time. Despite the brief time elapsed, we detected many differences in the number and length of compositional domains, as well as in their nucleot…

MutationPhylogenetic treeEvolutionary biologyNucleic acid sequencemedicineGenetic variabilityBiologyAdaptationmedicine.disease_causeGenomeVirusCoronavirus
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Surrogate Data Analysis for Assessing the Significance of the Coherence Function

2004

In cardiovascular variability analysis, the significance of the coupling between two time series is commonly assessed by setting a threshold level in the coherence function. While traditionally used statistical tests consider only the parameters of the adopted estimator, the required zero-coherence level may be affected by some features of the observed series. In this study, three procedures, based on the generation of surrogate series sharing given properties with the original but being structurally uncoupled, were considered: independent identically distributed (IID), Fourier transform (FT), and autoregressive (AR). IID surrogates maintained the distribution of the original series, while …

Myocardial InfarctionBiomedical EngineeringBlood PressureSurrogate dataSpectral analysisymbols.namesakeHeart RateStatisticsCoherence functionHumansCoherence (signal processing)Computer SimulationStatistical physicsCoupling significanceSpurious relationshipMathematicsStatistical hypothesis testingRespirationModels CardiovascularSpectral densityEstimatorCardiovascular variabilityFourier transformAutoregressive modelData Interpretation StatisticalsymbolsRegression AnalysisSurrogate dataAlgorithmsIEEE Transactions on Biomedical Engineering
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Nitrous oxide emission by agricultural soils: a review of spatial and temporal variability for mitigation

2012

CT3 ; EnjS4; International audience; This short review deals with soils as an important source of the greenhouse gas N2O. The production and consumption of N2O in soils mainly involve biotic processes: the anaerobic process of denitrification and the aerobic process of nitrification. The factors that significantly influence agricultural N2O emissions mainly concern the agricultural practices (N application rate, crop type, fertilizer type) and soil conditions (soil moisture, soil organic C content, soil pH and texture). Large variability of N2O fluxes is known to occur both at different spatial and temporal scales. Currently new techniques could help to improve the capture of the spatial va…

N2O fluxesSoil biodiversity[SDV]Life Sciences [q-bio]Soil Scienceagricultural practicesSoil science010501 environmental sciencesengineering.material01 natural sciencesSoil pH[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyWater content0105 earth and related environmental sciences2. Zero hunger04 agricultural and veterinary sciences15. Life on land6. Clean water13. Climate actionfertilizationgreenhouse gasGreenhouse gasSoil water[SDE]Environmental Sciences040103 agronomy & agricultureengineering0401 agriculture forestry and fisheriesEnvironmental scienceSpatial variabilityNitrificationFertilizersoil-atmosphere interface
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Carbon use efficiency variability from MODIS data

2017

[EN] Carbon use efficiency (CUE) describes how efficiently plants incorporate the carbon fixed during photosynthesis into biomass gain and can be calculated as the ratio between net primary production (NPP) and gross primary production (GPP). In this work, annual CUE has been obtained from annual GPP and NPP MODIS products for the peninsular Spain study area throughout eight years. CUE is spatially and temporally analyzed in terms of the vegetation type and annual precipitation and annual average air temperature. Results show that dense vegetation areas with moderate to high levels of precipitation present lower CUE values, whereas more arid areas present the highest CUE values. However, th…

NPP010504 meteorology & atmospheric sciencesGeography Planning and Development0211 other engineering and technologies02 engineering and technologyAtmospheric sciences01 natural sciencesVegetation typeEarth and Planetary Sciences (miscellaneous)EcosystemPrecipitationCarbon use efficiency (CUE)021101 geological & geomatics engineering0105 earth and related environmental sciencesBiomass (ecology)EcologyPrimary productionVegetation15. Life on landAridEficiencia en el uso del carbono (CUE)GeographyMODIS13. Climate actionSpatial variabilityGPP
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Tumor Biology and Natural History

2021

Tumors are not uniform diseases but heterogeneous entities consisting of cell populations called cell clones, with different genetic and molecular features. The ability of a tumor to evolve and fit to host microenvironment, by developing often resistance mechanisms to the anticancer therapies, is dependent on this biological variability. In fact, the variability observed within individual tumors, known as intra-tumor heterogeneity, represents the crucial step in cancer clonal evolution process, by promoting and driving a genetic mechanism able to select the fittest cell clones. A single clonal origin is usually shown by most of tumors at the early stages of the disease, whereas advanced-sta…

Natural historymedicine.anatomical_structureMechanism (biology)CellmedicineCancerDiseaseGenetic variabilityComputational biologyBiologymedicine.diseaseSomatic evolution in cancerMetastasis
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Effect of Physiotherapy Treatment in the Autonomic Activation and Pain Perception in Male Patients with Non-Specific Subacute Low Back Pain

2021

Introduction: Physiotherapy treatment is a common intervention for low back pain (LBP) patients. These interventions have been related to physiological effects in the central nervous system. Thus, the aim of this study was to analyze the effect of physiotherapy treatment in patients with LBP in the autonomic nervous system activation and subjective pain perception of patients. Methods: A total of 30 male subjects diagnosed with non-specific subacute LBP received a 50 min session consisting of (a) a manual therapy based on joint mobilization and soft tissues techniques in the lumbo-pelvic area, (b) a stretching program, and (c) motor control exercises of the core muscles. The autonomic modif…

Nervous systemNervous systemmedicine.medical_specialtyJoint mobilizationEducaciónArticle03 medical and health sciencesParasympathetic nervous system0302 clinical medicinemedicineHeart rate variabilityLow back painphysical therapylow back painSistema nerviosobusiness.industryDolor lumbarnervous systemRMotor control030229 sport sciencesGeneral MedicineLow back painAutonomic nervous systemmedicine.anatomical_structureTerapia físicaPhysical therapyMedicineManual therapymedicine.symptombusinessPhysical therapy030217 neurology & neurosurgeryJournal of Clinical Medicine
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Inclusion of Instantaneous Influences in the Spectral Decomposition of Causality: Application to the Control Mechanisms of Heart Rate Variability

2021

Heart rate variability is the result of several physiological regulation mechanisms, including cardiovascular and cardiorespiratory interactions. Since instantaneous influences occurring within the same cardiac beat are commonplace in this regulation, their inclusion is mandatory to get a realistic model of physiological causal interactions. Here we exploit a recently proposed framework for the spectral decomposition of causal influences between autoregressive processes [2] and generalize it by introducing instantaneous couplings in the vector autoregressive model (VAR). We show the effectiveness of the proposed approach on a toy model, and on real data consisting of heart period (RR), syst…

Network physiology020206 networking & telecommunicationsSpectral analysis02 engineering and technologyBaroreflexTime–frequency analysisCausality (physics)Stochastic processesAutoregressive modelFrequency domain0202 electrical engineering electronic engineering information engineeringHeart rate variability020201 artificial intelligence & image processingVagal toneBiological systemRegression analysisBeat (music)Mathematics2020 28th European Signal Processing Conference (EUSIPCO)
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Genetic variability and evolutionary analysis of parietaria mottle virus: role of selection and genetic exchange

2015

[EN] The genetic variability and evolution of parietaria mottle virus (PMoV) of the genus Ilarvirus was studied by analyzing nucleotide sequences of 2b and CP genes from isolates collected in different countries. Phylogenetic analysis showed that PMoV isolates clustered in different clades: one (clade I) composed of only Italian isolates and three clades (clades II-IV) including the Spanish isolates. The Greek isolate GrT-1 used in this study was in clade IV for the CP phylogenetic tree whereas it formed a separate branch in the 2b phylogenetic tree. The nucleotide sequence diversity of both the 2b and CP genes was low (0.062 +/- A 0.006 and 0.063 +/- A 0.006 for 2b and CP, respectively) bu…

Nonsynonymous substitutionRNA virusesPopulation geneticsMovementMolecular Sequence DataPopulation geneticsBiologyIlarvirusTomatoEvolution MolecularPhylogeneticsVirologyRatesGenetic variationMosaic virusSequencePRODUCCION VEGETALGenetic variabilityOriginsCladePhylogenyPlant DiseasesIlarvirusGeneticsCoat proteinPhylogenetic treeparietaria mottle virus genetic exchange evolutionary analysisGenetic VariationSettore AGR/12 - Patologia VegetaleMICROBIOLOGIAGeneral Medicinebiology.organism_classificationVirologyBiological EvolutionRecombinationParietariaCapsid Proteins
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