Search results for "Variable"

showing 10 items of 1674 documents

Clinical retrospective study of dental implant removal : do patients who require implant removal desire implant prosthesis again?

2020

Background This study investigated the causes of dental implant removal due to complications, and examined whether patients who had dental implant removal desired re-implant prosthesis treatments. Material and Methods A retrospective case–control study was conducted on patients who had their dental implants removed. We investigated whether the removed dental implant was replaced with other implant prostheses. Age, sex, diabetes, smoking, implant site distribution, reason for implant removal, and blade and root-form implants were categorized as predictive variables. The outcome variable was desire for re-implantation or use of other prosthetic methods after implant removal. A logistic regres…

medicine.medical_treatmentDentistryProsthesisImplant removalOutcome variablemedicineHumansDental Restoration FailureDental implantGeneral DentistryRetrospective StudiesDental ImplantsImplant prosthesisbusiness.industryResearchDental Implantation EndosseousRetrospective cohort study:CIENCIAS MÉDICAS [UNESCO]OtorhinolaryngologyDental Prosthesis DesignCase-Control StudiesUNESCO::CIENCIAS MÉDICASSurgeryImplantDental Prosthesis Implant-SupportedPredictive variablesbusinessImplantologyFollow-Up Studies
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Max–min dispersion with capacity and cost for a practical location problem

2022

Diversity and dispersion problems deal with selecting a subset of elements from a given set in such a way that their diversity is maximized. This study considers a practical location problem recently proposed in the context of max–min dispersion models. It is called the generalized dispersion problem, and it models realistic applications by introducing capacity and cost constraints. We propose two effective linear formulations for this problem, and develop a hybrid metaheuristic algorithm based on the variable neighborhood search methodology, to solve real instances. Extensive numerical computational experiments are performed to compare our hybrid metaheuristic with the state-of-art heurist…

metaheuristicsArtificial IntelligenceGeneral Engineeringcombinatorial optimizationdispersionUNESCO::CIENCIAS TECNOLÓGICASdiversity maximizationvariable neighborhood searchComputer Science Applications
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Uniformization of two-dimensional metric surfaces

2014

We establish uniformization results for metric spaces that are homeomorphic to the Euclidean plane or sphere and have locally finite Hausdorff 2-measure. Applying the geometric definition of quasiconformality, we give a necessary and sufficient condition for such spaces to be QC equivalent to the Euclidean plane, disk, or sphere. Moreover, we show that if such a QC parametrization exists, then the dilatation can be bounded by 2. As an application, we show that the Euclidean upper bound for measures of balls is a sufficient condition for the existence of a 2-QC parametrization. This result gives a new approach to the Bonk-Kleiner theorem on parametrizations of Ahlfors 2-regular spheres by qu…

metric surfacesPure mathematicsMathematics - Complex VariablesGeneral Mathematics010102 general mathematicsPrimary 30L10 Secondary 30C65 28A75 51F99 52A38Hausdorff spaceMetric Geometry (math.MG)01 natural sciencesUpper and lower boundsMetric spaceMathematics - Metric GeometryBounded function0103 physical sciencesMetric (mathematics)Euclidean geometryFOS: MathematicsMathematics::Metric Geometry010307 mathematical physicsComplex Variables (math.CV)0101 mathematicsUniformization (set theory)ParametrizationMathematicsInventiones mathematicae
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Ecologists overestimate the importance of predictor variables in model averaging: a plea for cautious interpretations.

2014

Abstract: Information-theory procedures are powerful tools for multimodel inference and are now standard methods in ecology. When performing model averaging on a given set of models, the importance of a predictor variable is commonly estimated by summing the weights of models where the variable appears, the so-called sum of weights (SW). However, SWs have received little methodological attention and are frequently misinterpreted. We assessed the reliability of SW by performing model selection and averaging on simulated data sets including variables strongly and weakly correlated to the response variable and a variable unrelated to the response. Our aim was to investigate how useful SWs are …

model selectionInformation theorymultimodel inferenceBayesian information criterionStatisticsEconometricsRange (statistics)Akaike Information Criterion[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/Symbiosisbaseline sum of weightsSet (psychology)BiologyEcology Evolution Behavior and SystematicsMathematicsinformation theory[STAT.AP]Statistics [stat]/Applications [stat.AP]Ecological ModelingModel selection[ STAT.AP ] Statistics [stat]/Applications [stat.AP]model averagingBayesian information criterionChemistryVariable (computer science)Sample size determinationvariable importanceAkaike information criterion[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Motivación y aprendizaje escolar en la Educación Secundaria Obligatoria: Un estudio empírico desde el Modelo de Calidad de Situación Educativa

2015

La desmotivación de los alumnos/as es uno de los principales problemas con los que se enfrenta actualmente el profesorado, sobre todo en los niveles de educación secundaria. Basándonos en el Modelo de Calidad de Situación Educativa (MCSE) (Doménech, 2006, 2007, 2011a, 2011b, 2012, 2013 y Doménech-Betoret, Gómez-Artiga y Lloret-Segura, 2014), este estudio, compuesto de cuatro investigaciones independientes, examina a) cómo se genera la motivación de los alumnos/as de secundaria y cómo ésta va evolucionando a lo largo del curso en función de sus variables personales y de la percepción que éstos se formen del contexto de la situación educativa. Además, b) examina de forma simultánea el efecto …

modelo instruccionalrendimiento académicoUNESCO::PSICOLOGÍA::Psicología del niño y del adolescente::Psicología escolareducación secundaria:PSICOLOGÍA::Psicología del niño y del adolescente::Problemas de aprendizaje [UNESCO]:PSICOLOGÍA::Asesoramiento y orientación ::Asesoramiento y orientación educacional [UNESCO]motivación:PSICOLOGÍA::Psicología experimental::Motivación [UNESCO]variables personalesUNESCO::PEDAGOGÍA::Organización y planificación de la educacióncalidadad educativasatisfacción escolarestrategias evitaciónUNESCO::PSICOLOGÍA::Psicología del niño y del adolescente::Problemas de aprendizajeUNESCO::PEDAGOGÍA::Teoría y métodos educativos::Teorías educativasUNESCO::PSICOLOGÍA::Psicología experimental::Motivación:PSICOLOGÍA::Psicología del niño y del adolescente::Psicología escolar [UNESCO]:PEDAGOGÍA::Organización y planificación de la educación [UNESCO]UNESCO::PSICOLOGÍA::Asesoramiento y orientación ::Asesoramiento y orientación educacionaleducaciónvariables contextuales:PEDAGOGÍA::Teoría y métodos educativos::Teorías educativas [UNESCO]
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Interactions, spillovers de connaissance et croissance des économies modernes. Faut-il préférer la globalisation ou la proximité géographique ?

2009

Globalisation and metropolisation in modern economies induce some locational strategies of knowledge based activities towards cities and deeply increase trade and move of ideas across cities. In that context, we study the way knowledge spillovers have influenced the economic growth of 82 European Metropolises over the 1990-2005 period. We model knowledge spillovers across cities according to three specific interaction patterns depending either on geography or on global advanced services or thought a combination of these patterns. We show that the mixed pattern matters the best for economic growth of cities in Europe.

modern economiesJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsO4JEL : C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressionsurban climate C31JEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic Activityclimat des affaires[ SHS.ECO ] Humanities and Social Sciences/Economies and financesJEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity[SHS.ECO] Humanities and Social Sciences/Economics and Financecroissance urbainejel:C31JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and Changes[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and ChangesR11R12jel:O4metropolisesmétropolesJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic Activityurban growthspatial interactionsinteractions spatialesjel:R12jel:R11économies modernesmodern economiesurban growthmetropolisesspatial interactionsurban climate C31O4R11R12croissance urbainemétropolesinteractions spatialesclimat des affaireséconomies modernesJEL : O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity
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Recursion at the crossroads of sequence modeling, random trees, stochastic algorithms and martingales

2013

This monograph synthesizes several studies spanning from dynamical systems in the statistical analysis of sequences, to analysis of algorithms in random trees and discrete stochastic processes. These works find applications in various fields ranging from biological sequences to linear regression models, branching processes, through functional statistics and estimates of risk indicators for insurances. All the established results use, in one way or another, the recursive property of the structure under study, by highlighting invariants such as martingales, which are at the heart of this monograph, as tools as well as objects of study.

modèles auto-régressifs[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]estimation and prediction errorstochastic gradient algorithmschaîne de Markov à mémoire variable[STAT.TH] Statistics [stat]/Statistics Theory [stat.TH]Digital search treesvariable length Markov chainstrong laws for discrete martingalessuffix trietemps d'occurrences de motifsoptimisation stochastique.dynamical systemtrie des suffixesstochastic optimization.erreur d'estimation et de prédictionArbres digitaux de rechercheauto-regressive modelssystème dynamiquelois fortes de martingales discrètesalgorithmes de gradient stochastiques[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]occurrences time
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Development of sport and school burnout among student-athletes across the first year of upper secondary school : different methodological perspectives

2018

The present research investigated the co-development of sport and school burnout symptoms (sport- or school-related exhaustion, cynicism, and feelings of inadequacy) among student-athletes during the first year of upper secondary school. Furthermore, the environment- and individual-related predictors of sport and school burnout were examined. The participants were student- athletes (Ntime 1=391; Ntime 2=373) from six Finnish upper secondary sport schools and their 260 mothers and 188 fathers. Athletes and their parents filled out questionnaires at the beginning of upper secondary school. Athletes answered the questionnaires again at the end of the school year, and a subsample of high-level …

monitieteisyysmixed methods researchliikuntalukioteducationperson-oriented approachschool burnoutsuccess expectationstulostavoitteetoppimistuloksetoppilaatuupumuslukiolaisetvariable-oriented approachsport burnoutjaksaminenachievement goalshuman activitiesurheilutuloksetoppimistavoitteet
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MOTIVACIÓN Y ESTILO ATRIBUCIONAL SOBRE EL RENDIMIENTO ACADÉMICO EN EDUCACIÓN INFANTIL

2016

El presente trabajo tiene como objetivo examinar el poder predictivo de variables del sistema motivacional sobre las habilidades iniciales de lectura y matemáticas en una muestra de niños de Educación Infantil. Participaron 209 preescolares (5-6 años) y sus maestros. Se evaluaron las  habilidades matemáticas de conteo, conocimiento de los números, cálculo y resolución de problemas. Para determinar el rendimiento en lectura se administraron tareas de identificación de letras y de lectura de palabras. Respecto al sistema motivacional, se analizaron las variables de competencia-motivación, atención-persistencia y actitud hacia el aprendizaje, así como las dimensiones de internalidad, globalida…

motivación hacia el aprendizajeMathematical problemmedia_common.quotation_subjectestilo atribucionallcsh:BF1-99005 social scienceslecturaStability (learning theory)050301 educationGlobalitymatemáticaseducación infantillcsh:PsychologyMath skillsReading (process)Predictive powerMathematics educationMathematical ability0501 psychology and cognitive sciences0503 education050104 developmental & child psychologymedia_commonVariable (mathematics)
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Motywacja jako zmienna w badaniach pedagogicznych z odniesieniami do aktywności sportowej

2018

Celem artykułu jest zaprezentowanie roli motywacji w wychowaniu i w sporcie, w kontekście traktowania motywacji jako zmiennej zależnej bądź zmiennej niezależnej w badaniach edukacyjnych. Motywacja może mieć wpływ na osiąganie pożądanych wyników w nauce i w sporcie. Możliwa jest jednak także sytuacja odwrotna: lepsze wyniki i osiągnięcia mogą zwiększać poziom motywacji do podejmowania dalszych wysiłków. Artykuł składa się z trzech części. W pierwszej przywołane są najważniejsze koncepcje i stanowiska dotyczące motywacji, w drugiej opisane są różne sposoby traktowania motywacji jako zmiennej w badaniach. W trzeciej części – przy uwzględnieniu tych różnic – ukazane są możliwe konsekwencje i po…

motywacjamotivationzmienna zależnaresults in sportdependent variableosiągnięcia sportoweindependent variablezmienna niezależna
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