Search results for "equation"

showing 10 items of 4219 documents

Measurements of aerosol size distributions with a pocket counter with variable expansion ratio

2008

Expansion ratioMaterials scienceHelmholtz equationMechanicsAerosolVariable (mathematics)
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Acceptance towards digital health interventions – Model validation and further development of the Unified Theory of Acceptance and Use of Technology

2021

Internet- and mobile-based interventions (IMI) offer an effective way to complement health care. Acceptance of IMI, a key facilitator of their implementation in routine care, is often low. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), this study validates and adapts the UTAUT to digital health care. Following a systematic literature search, 10 UTAUT-grounded original studies (N = 1588) assessing patients' and health professionals' acceptance of IMI for different somatic and mental health conditions were included. All included studies assessed Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions and acceptance as well as age, gender,…

Expectancy theorybusiness.industryApplied psychologyPsychological interventionHealth InformaticsInformation technologyUnified theory of acceptance and use of technologyT58.5-58.64Digital healthMental healthStructural equation modelingFull length ArticleBF1-990ddc:AcceptanceHealth careeHealthPsychologyImplementation scienceeHealthbusinessPsychologyInternet-and mobile-based interventionsDigital healthUnified Theory of Acceptance and Use of Technology
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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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The role of study engagement in university students' daily experiences: A multilevel test of moderation

2019

The present study investigated the dynamic nature of students' daily experiences and general study engagement using intra-individual assessment. More specifically, we examined individual differences in the relationship between university students' task-specific value and situational emotions and, further, whether first-year study engagement would moderate this association during the first two years of studies. Intra-individual state assessments were conducted via mobile phone-based experience sampling method (ESM) during participants' first (N = 72) and second (N = 56) academic years, resulting in 3089 and 2912 fully completed state questionnaires. In both years, students were asked five ti…

Experience sampling methodSocial PsychologyContext (language use)BurnoutStructural equation modelingEducationDevelopmental psychologysituational emotionsDaily experiencesDevelopmental and Educational Psychology0501 psychology and cognitive sciencesuniversity studentsSituational ethicstask-specific valueta515study engagementAcademic year4. Education05 social sciences050301 educationsitoutuminenModerationUniversity studentsTest (assessment)Task-specific valueopiskelukokemuksetSituational emotionskorkeakouluopiskelu516 Educational sciencesPsychologyStudy engagement0503 educationdaily experiences050104 developmental & child psychologyLearning and Individual Differences
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Domestic tourists’ experience in protected natural parks: A new trend in pandemic crisis?

2021

International audience; Since December 2019, the Covid-19 pandemic crisis has led to profound changes around the world with a lot of interdictions or constraints to travel outside one's own country. One of the major consequences has been the development of proximity tourism in outdoor spaces less conducive to the spread of the virus. From a study preceding this pandemic, this article seeks to better understand the experiences lived by domestic tourists when they visited protected natural parks in their country. Beyond the health risks, it analyses the dimensions and the influences of experiences lived in these parks by French domestic tourists (n = 500) using Pine and Gilmore's 4Es model (1…

ExperiencePandemic crisisCoronavirus disease 2019 (COVID-19)Protected natural park05 social sciences010501 environmental sciences01 natural sciencesStructural equation modelingTourist experienceTourism Leisure and Hospitality ManagementPolitical scienceLow arousal theoryScale (social sciences)0502 economics and businessPandemicDomestic tourismNatural (music)[SHS.GESTION]Humanities and Social Sciences/Business administrationMarketing[SHS.GESTION] Humanities and Social Sciences/Business administrationRecreation050212 sport leisure & tourismTourism0105 earth and related environmental sciences
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Experimental characterization and comparison of TLIM performances with different primary winding connections

2017

Abstract This paper presents an experimental characterization and comparison of the performances achieved by a Tubular Linear Induction Motor (TLIM) prototype with different typologies of primary winding connections. More in detail, three different configurations have been considered, analyzed and discussed: full-pitch star, 5/6 shortened pitch star and 5/6 shortened pitch double star. For this purpose, an experimental test bench at the Sustainable Development and Energy Saving Laboratory (SDESLab), University of Palermo, Italy, has been set-up. The obtained results have allowed the identification of the best winding configuration for different applications intended for the motor. Moreover,…

Experimental validationEngineeringTest benchEnergy Engineering and Power TechnologyMechanical engineering02 engineering and technologyDouble starSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciStar (graph theory)01 natural sciencesMathematical equations0103 physical sciences0202 electrical engineering electronic engineering information engineeringExperimental workElectrical and Electronic EngineeringTLIM010302 applied physicsbusiness.industry020208 electrical & electronic engineeringHarmonicStructural engineeringCharacterization (materials science)Linear induction motorWinding connectionbusinessEnergy (signal processing)Electric Power Systems Research
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A Critical Review of Statistical Methods for Twin Studies Relating Exposure to Early Life Health Conditions

2021

International audience; When investigating disease etiology, twin data provide a unique opportunity to control for confounding and disentangling the role of the human genome and exposome. However, using appropriate statistical methods is fundamental for exploiting such potential. We aimed to critically review the statistical approaches used in twin studies relating exposure to early life health conditions. We searched PubMed, Scopus, Web of Science, and Embase (2011–2021). We identified 32 studies and nine classes of methods. Five were conditional approaches (within-pair analyses): additive-common-erratic (ACE) models (11 studies), generalized linear mixed models (GLMMs, five studies), gene…

ExposomeComputer scienceHealth Toxicology and MutagenesisInferenceMarginal modelReviewexposomeGeneralized linear mixed modeltwin data03 medical and health sciences0302 clinical medicineDiscriminative modelchildren[STAT.AP] Statistics [stat]/Applications [stat.AP]StatisticsHumans030212 general & internal medicineGeneralized estimating equationchildren Exposome Genome Health Statistical methods Twin data Humans Linear Models Models Statisticalgenome030304 developmental biology0303 health sciences[STAT.AP]Statistics [stat]/Applications [stat.AP]Models StatisticalConfoundingPublic Health Environmental and Occupational HealthRhealthTwin studychildren exposome genome health statistical methods twin data[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieLinear Modelsstatistical methodsMedicine[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
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The risk of sexual-erotic online behavior in adolescents – Which personality factors predict sexting and grooming victimization?

2021

Abstract Information and communication technologies provide new opportunities for adolescents to establish and maintain intimate relationships, as well as exploring their sexuality. However, the young population is particularly vulnerable to becoming victims of violence or online abuse. The aim of this study was to understand to which extent the personality factors (extraversion, narcissism, lack of empathy and disinhibition) are related to sexting and online grooming victimization. The participants were 1763 adolescents between 12 and 16 years (M = 14.56, SD = 1.16, 50.99% girls). A cross-sectional design with self-report data was used, analyzed by structural equation modeling (SEM). The r…

Extraversion and introversionmedia_common.quotation_subject05 social sciences050301 education050801 communication & media studiesEmpathyHuman sexualityStructural equation modelingDevelopmental psychologyHuman-Computer Interaction0508 media and communicationsArts and Humanities (miscellaneous)DisinhibitionNarcissismmedicinePersonalitySocial mediamedicine.symptomPsychology0503 educationGeneral Psychologymedia_commonComputers in Human Behavior
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Numerical stochastic perturbation theory in the Schrödinger functional

2013

The Schr\"odinger functional (SF) is a powerful and widely used tool for the treatment of a variety of problems in renormalization and related areas. Albeit offering many conceptual advantages, one major downside of the SF scheme is the fact that perturbative calculations quickly become cumbersome with the inclusion of higher orders in the gauge coupling and hence the use of an automated perturbation theory framework is desirable. We present the implementation of the SF in numerical stochastic perturbation theory (NSPT) and compare first results for the running coupling at two loops in pure SU(3) Yang-Mills theory with the literature.

FIS/02 - FISICA TEORICA MODELLI E METODI MATEMATICIHigh Energy Physics - Latticeddc:530Lattice QCDPerturbation theoryStochastic quantizationLangevin equations
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Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions

2022

The modelling of Earth observation data is a challenging problem, typically approached by either purely mechanistic or purely data-driven methods. Mechanistic models encode the domain knowledge and physical rules governing the system. Such models, however, need the correct specification of all interactions between variables in the problem and the appropriate parameterization is a challenge in itself. On the other hand, machine learning approaches are flexible data-driven tools, able to approximate arbitrarily complex functions, but lack interpretability and struggle when data is scarce or in extrapolation regimes. In this paper, we argue that hybrid learning schemes that combine both approa…

FOS: Computer and information sciencesComputer Science - Machine LearningEarth observationAdvanced microwave scanning radiometer-2 (AMSR-2)moderate resolution imaging spectroradiometer (MODIS)Computer scienceleaf area index (LAI)0211 other engineering and technologiesExtrapolationMachine Learning (stat.ML)02 engineering and technologycomputer.software_genreMachine Learning (cs.LG)Data-drivenConvolutionsymbols.namesakeadvanced scatterometer (ASCAT)Statistics - Machine Learningordinary differential equation (ODE)Electrical and Electronic EngineeringGaussian processsoil moisture and ocean salinity (SMOS)021101 geological & geomatics engineeringInterpretabilityForcing (recursion theory)machine learning (ML)soil moisture (SM)time series analysisgaussian process (GP)symbolsGeneral Earth and Planetary SciencesDomain knowledgeData mininggap fillingphysicscomputerfraction of absorbed photosynthetically active radiation (faPAR)IEEE Transactions on Geoscience and Remote Sensing
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