Search results for "Variability"

showing 10 items of 904 documents

Use of Sentinel-2 Satellite for Spatially Variable Rate Fertiliser Management in a Sicilian Vineyard

2022

Satellites can be used for producing maps of within-field crop and soil parameters and, consequentially, spatially variable rate crop input application maps. The plant vegetative vigour index (i.e., Normalised Difference Vegetation Index—NDVI) and the leaf water content index (i.e., Normalised Difference Water Index—NDWI) maps were used to study—through both time and space—the phenological phases of two plots, with Syrah and Nero d’Avola grapevine varieties, in a Sicilian vineyard farm, located in Naro (Agrigento, Sicily, Italy). The aim of this work is to produce spatially variable rate nitrogen fertiliser maps to be applied in the two vineyard plots under stu…

Environmental effects of industries and plantsRenewable Energy Sustainability and the Environmenttemporal variabilityGeography Planning and DevelopmentSettore AGR/09 - Meccanica AgrariaTJ807-830Management Monitoring Policy and LawTD194-195Renewable energy sourcesEnvironmental sciencesremote sensingprecision viticulture; remote sensing; temporal variability; spatial variability; nitrogen spatially variable rate fertilisation; sustainable vineyard managementprecision viticulturespatial variabilityGE1-350sustainable vineyard managementnitrogen spatially variable rate fertilisationSustainability; Volume 14; Issue 3; Pages: 1688
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The Large Observatory for X-ray Timing (LOFT)

2012

High-time-resolution X-ray observations of compact objects provide direct access to strong-field gravity, to the equation of state of ultra-dense matter and to black hole masses and spins. A 10 m^2-class instrument in combination with good spectral resolution is required to exploit the relevant diagnostics and answer two of the fundamental questions of the European Space Agency (ESA) Cosmic Vision Theme "Matter under extreme conditions", namely: does matter orbiting close to the event horizon follow the predictions of general relativity? What is the equation of state of matter in neutron stars? The Large Observatory For X-ray Timing (LOFT), selected by ESA as one of the four Cosmic Vision M…

Event horizonX-ray timingMission7. Clean energy01 natural sciencesneutron starsT175 Industrial research. Research and developmentBINARIESSettore FIS/05 - Astronomia E AstrofisicaALICESILICON DRIFT DETECTORObservatoryEQUATIONneutron star010303 astronomy & astrophysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)Physics[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Astrophysics::Instrumentation and Methods for AstrophysicsMissions X-ray timing compact objects black holes neutron starscompact objectsAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical PhenomenaPROPORTIONAL COUNTER[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Active galactic nucleusCosmic VisionX-ray astronomy; high time variabilityAstrophysics::High Energy Astrophysical Phenomenablack holes; compact objects; Missions; neutron stars; X-ray timing;FOS: Physical sciencesMissionsX-ray astronomy0103 physical sciencesOSCILLATIONSInstrumentation and Methods for Astrophysics (astro-ph.IM)Supermassive black holehigh time variability010308 nuclear & particles physicsAstronomyCONSTRAINTSAstronomy and Astrophysicsblack holesGalaxyBlack holeNeutron starSpace and Planetary ScienceQB460-466 AstrophysicsDISCOVERYBLACK-HOLESUPERAGILE
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Situational expectancies and task values: Associations with students' effort

2017

Abstract According to expectancy-value theory, expectancies and task values are precursors for investing effort into learning. To date, it remains largely unknown (1) to what extent expectancies and values change from one learning situation to another and (2) to what extent inter-individual findings reflect intra-individual motivational processes. We applied an intensive longitudinal design in a sample of 155 pre-service teacher students attending a lecture. Across ten lessons with varying topics, students reported three times per lesson on their situational effort, expectancies, task values (intrinsic, attainment, utility), and cost. We used multilevel structural equation modeling with lea…

Expectancy-value theorypre-service teacher students05 social sciences050301 educationSample (statistics)student motivation050105 experimental psychologyStructural equation modelingEducationTask (project management)diary studyDevelopmental and Educational Psychology0501 psychology and cognitive sciencesExpectancy-value theorysituational variabilitySituational ethicsPsychology0503 educationSocial psychologyta515Learning and Instruction
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Experimental validation of a distribution theory based analysis of the effect of manufacturing tolerances on permanent magnet synchronous machines

2017

An experimental study on the effect of permanent magnet tolerances on the performances of a Tubular Linear Ferrite Motor is presented in this paper. The performances that have been investigated are: cogging force, end effect cogging force and generated thrust. It is demonstrated that: 1) the statistical variability of the magnets introduces harmonics in the spectrum of the cogging force; 2) the value of the end effect cogging force is directly linked to the values of then remanence field of the external magnets placed on the slider; 3) the generated thrust and its statistical distribution depend on the remanence field of the magnets placed on the translator.

Experimental validationMaterials scienceStatistical distributionPermanent magnetsGeneral Physics and AstronomyMechanical engineeringThrust02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciDistribution theoryEnd effect01 natural sciencesTheory basedSlider0103 physical sciencesCogging force010302 applied physicsManufacturing toleranceSettore ING-IND/11 - Fisica Tecnica AmbientalePermanent magnet synchronous machineExperimental validation021001 nanoscience & nanotechnologyStatistical variabilitylcsh:QC1-999Quantitative Biology::Quantitative MethodsRemanenceMagnetHarmonicsFerrite (magnet)0210 nano-technologylcsh:PhysicsAIP Advances
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Bayesian Analysis of Population Health Data

2021

The analysis of population-wide datasets can provide insight on the health status of large populations so that public health officials can make data-driven decisions. The analysis of such datasets often requires highly parameterized models with different types of fixed and random effects to account for risk factors, spatial and temporal variations, multilevel effects and other sources on uncertainty. To illustrate the potential of Bayesian hierarchical models, a dataset of about 500,000 inhabitants released by the Polish National Health Fund containing information about ischemic stroke incidence for a 2-year period is analyzed using different types of models. Spatial logistic regression and…

FOS: Computer and information sciencesmedicine.medical_specialtyComputer scienceGeneral MathematicsBayesian probabilitydisease mappingPopulation healthbayesian inference; disease mapping; integrated nested Laplace approximation; spatial models; survival modelsBayesian inferenceLogistic regressionStatistics - Applications01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicineStatisticsComputer Science (miscellaneous)medicineApplications (stat.AP)spatial models0101 mathematicsEngineering (miscellaneous)Socioeconomic statusbayesian inferencesurvival modelslcsh:MathematicsPublic healthintegrated nested Laplace approximationlcsh:QA1-939Random effects modelSpatial variability030217 neurology & neurosurgeryMathematics
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Multiscale partial information decomposition of dynamic processes with short and long-range correlations: theory and application to cardiovascular co…

2022

Abstract Objective. In this work, an analytical framework for the multiscale analysis of multivariate Gaussian processes is presented, whereby the computation of Partial Information Decomposition measures is achieved accounting for the simultaneous presence of short-term dynamics and long-range correlations. Approach. We consider physiological time series mapping the activity of the cardiac, vascular and respiratory systems in the field of Network Physiology. In this context, the multiscale representation of transfer entropy within the network of interactions among Systolic arterial pressure (S), respiration (R) and heart period (H), as well as the decomposition into unique, redundant and s…

FOS: Computer and information sciencesmultivariate time seriesPhysiologyEntropyRespirationBiomedical EngineeringBiophysicsheart rate variabilitytransfer entropyredundancy and synergyBlood PressureHeartQuantitative Biology - Quantitative MethodsCardiovascular SystemMethodology (stat.ME)Heart RatePhysiology (medical)FOS: Biological sciencesCardiovascular controlSettore ING-INF/06 - Bioingegneria Elettronica E Informaticavector autoregressive fractionally integrated (VARFI) modelsHumansQuantitative Methods (q-bio.QM)Statistics - MethodologyPhysiological measurement
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Remote heart rate variability for emotional state monitoring

2018

International audience; Several researches have been conducted to recognize emotions using various modalities such as facial expressions , gestures, speech or physiological signals. Among all these modalities, physiological signals are especially interesting because they are mainly controlled by the autonomic nervous system. It has been shown for example that there is an undeniable relationship between emotional state and Heart Rate Variability (HRV). In this paper, we present a methodology to monitor emotional state from physiological signals acquired remotely. The method is based on a remote photoplethysmography (rPPG) algorithm that estimates remote Heart Rate Variability (rHRV) using a …

Facial expressionModalities[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer scienceSpeech recognition020208 electrical & electronic engineering0206 medical engineering[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020601 biomedical engineeringSignal[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingFeature (computer vision)Frequency domainPhotoplethysmogram0202 electrical engineering electronic engineering information engineeringHeart rate variabilityGesture
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Valuing Variability: Dynamic Usage-based Principles in the L2 Development of Four Finnish Language Learners

2020

The general aim of this study is to trace the second language (L2) development of four beginner learners of Finnish over one academic year from a dynamic usage-based perspective. Contrary to many previous studies, this study starts out from meanings, not forms. In other words, an onomasiological approach is adopted. The aim is to investigate what kind of constructions the learners use to express 1) evaluation and 2) existentiality. In line with a dynamic usage-based approach, the goal is to investigate three aspects of development: 1) the interaction between different linguistic means used to express a certain meaning and between the instruction and learning trajectories, 2) variability pat…

Finnish as a second languagevariabilityusage-based approaches to language learningsecond language learningcomplex dynamic systems theory
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A spatial multilevel analysis of Italian SMEs Productivity

2009

In this paper, we adapt multilevel analysis methods to investigate the spatial variability of SMEs productivity across the Italian territory, and account for differences in the socio-economic context. Our results suggest that to properly capture the variability of the data, it is important to allow for both spatial mean and slope effects. Social decay has the expected negative impact. However, while this effect is larger on firms with smaller capital intensity, firms with higher capital intensity seem to be less affected by geography. Greater territorial heterogeneity emerges among those firms with lower capital to labour ratios.

Firm heterogeneity Spatial variability Socio-economic Context Multilevel Analysis
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A Spatial Multilevel Analysis of Italian SMEs Productivity

2009

Abstract In this paper, we adapt multilevel analysis methods to investigate the spatial variability of SMEs' productivity across the Italian territory, and account for differences in the socio-economic context. Our results suggest that to properly capture the variability of the data, it is important to allow for both spatial mean and slope effects. Social decay has the expected negative impact. However, while this effect is larger on firms with smaller capital intensity, firms with higher capital intensity seem to be less affected by geography. Greater territorial heterogeneity emerges among those firms with lower capital to labour ratios. Une analyse spatiale a plusieurs niveaux de la prod…

Firm heterogeneity Spatial variability Socio-economic Context Multilevel AnalysisOperations researchWelfare economicsjel:C31Geography Planning and DevelopmentMultilevel modelContext (language use)socio-economic contextFirm heterogeneityGeographyCapital (economics)jel:R30Earth and Planetary Sciences (miscellaneous)Capital intensitySpatial variabilityspatial variabilitymultilevel analysisjel:R12Statistics Probability and Uncertaintyjel:R11General Economics Econometrics and FinanceProductivity
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