Search results for "Learning theory"

showing 10 items of 216 documents

Seven-Weeks Gait-Retraining in Minimalist Footwear Has No Effect on Dynamic Stability Compared With Conventional Footwear.

2021

Purpose: To investigate the effects of two different running footwear conditions (transition to minimalist footwear and conventional running footwear) on dynamic postural stability before and after 7 weeks of gait retraining program, and to evaluate the effect of fatigue on dynamic stability. Method: This randomized controlled clinical trial was carried out by 42 recreational male runners, who were randomly divided into two groups; Conventional Footwear Group (CFG) (n = 22) and Minimalist Footwear Group (MFG) (n = 20). Dynamic Postural Stability Index (DPSI), in a fatigued and non-fatigued state, were assessed before and after a gait retraining program. The gait retraining program consisted…

Malemedicine.medical_specialtyIntervention programGait retrainingbusiness.industryStability (learning theory)Physical Therapy Sports Therapy and RehabilitationGeneral MedicineBiomechanical PhenomenaRunningShoesPhysical medicine and rehabilitationNephrologyPostural stabilitymedicineAerobic exerciseHumansOrthopedics and Sports MedicineTraining programbusinessExerciseGaitResearch quarterly for exercise and sport
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On the design of effective learning materials for supporting self-directed learning of programming

2012

This paper reports on the action research that studies how to implement self-directed learning of programming in the academic context. Based on our findings from the previous steps with this research agenda, we focus on the design of learning materials. That is, we aim to facilitate the students' self-directed learning by developing illustrative and concise materials that the students could use to efficiently develop theoretical understanding of the learning topics. In designing the materials, we will rely on the cognitive load theory as the guiding theoretical framework. The paper demonstrates the planning stage of our second action research cycle.

Management scienceComputer scienceAlgorithmic learning theoryActive learningContext (language use)Action researchRobot learningAction learningInductive programmingLearning sciencesProceedings of the 12th Koli Calling International Conference on Computing Education Research
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Drilling Systems: Stability and Hidden Oscillations

2013

There are many mathematical models of drilling systems Despite, huge efforts in constructing models that would allow for precise analysis, drilling systems, still experience breakdowns. Due to complexity of systems, engineers mostly use numerical analysis, which may lead to unreliable results. Nowadays, advances in computer engineering allow for simulations of complex dynamical systems in order to obtain information on the behavior of their trajectories. However, this simple approach based on construction of trajectories using numerical integration of differential equations describing dynamical systems turned out to be quite limited for investigation of stability and oscillations of these s…

Mathematical modelDynamical systems theoryDifferential equationComputer scienceNumerical analysisStability (learning theory)Applied researchControl engineeringHidden oscillationNumerical integration
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An open-source GA framework for optimizing the seismic upgrading design of RC frames through BRBs

2022

Abstract Optimizing seismic upgrading interventions in reinforced concrete (RC) structures is a difficult task, due to the inner non-linearity of the analyses usually performed. Additionally, it is well known that the displacement demand to the structure depends from the mass and stiffness of the system, and consequently its definition cannot be made a-priori. This paper presents the application of a soft-computing method -i.e. Genetic Algorithm (GA)- for the shaping optimization of code-compliant seismic upgrading interventions on plane RC frames through Buckling-Restrained Braces (BRB). The metaheuristic procedure allows to minimize the cost while ensuring the required safety level, witho…

Mathematical optimizationComputer scienceMonte Carlo methodCrossoverStability (learning theory)StiffnessPython (programming language)Settore ICAR/09 - Tecnica Delle CostruzioniGenetic algorithmMutation (genetic algorithm)medicineBRB Genetic algorithm Optimization Seismic upgradingmedicine.symptomcomputerMetaheuristicCivil and Structural Engineeringcomputer.programming_languageEngineering Structures
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Regularity and strong sufficient optimality conditions in differentiable optimization problems

1993

This paper studies the metric regularity of multivalued functions on Banach spaces, tangential approximations of the feasible set and strong sufficient optimality conditions of a parametrized optimization problem minimize The results are applied to the tangent approximations and the local stability properties of solutions of this perturbed optimization problem.

Mathematical optimizationControl and OptimizationOptimization problemMultivalued functionFeasible regionStability (learning theory)Banach spaceTangentComputer Science ApplicationsSignal ProcessingMetric (mathematics)Differentiable functionAnalysisMathematicsNumerical Functional Analysis and Optimization
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SMAA-TRI

2007

ELECTRE TRI is a multiple criteria decision aiding sorting method with a history of successful real-life applications. In ELECTRE TRI, values for certain parameters, such as criteria weights, thresholds, category profiles, and lambda cutting level, have to be provided. We propose a new method, SMAA-TRI, that is based on Stochastic Multicriteria Acceptability Analysis (SMAA), for analyzing the stability of such parameters. The stability analysis can be used for deriving robust conclusions. SMAATRI allows ELECTRE TRI to be used with imprecise, arbitrarily distributed values for weights and the lambda cutting level. The method consists of analyzing through Monte Carlo simulation finite spaces …

Mathematical optimizationMonte Carlo methodMultiple criteriaStability (learning theory)SortingELECTRELambdaField (computer science)Analysis methodMathematics
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Stability Analysis of Large Scale Networks of Autonomous Work Systems with Delays

2011

This paper considers the problem of stability analysis for a class of production networks of autonomous work systems with delays in the capacity changes. The system under consideration does not share information between work systems and the work systems adjust capacity with the objective of maintaining a desired amount of local work in progress (WIP). Attention is focused to derive explicit sufficient delay-dependent stability conditions for the network using properties of matrix norm. Finally, numerical results are provided to demonstrate the proposed approach.

Mathematical optimizationStability conditionsClass (computer programming)Computer scienceScale (chemistry)Matrix normStability (learning theory)Production (economics)Work in processWork systems
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Bayesian model averaging and weighted-average least squares: Equivariance, stability, and numerical issues

2011

In this article, we describe the estimation of linear regression models with uncertainty about the choice of the explanatory variables. We introduce the Stata commands bma and wals, which implement, respectively, the exact Bayesian model-averaging estimator and the weighted-average least-squares estimator developed by Magnus, Powell, and Prüfer (2010, Journal of Econometrics 154: 139–153). Unlike standard pretest estimators that are based on some preliminary diagnostic test, these model-averaging estimators provide a coherent way of making inference on the regression parameters of interest by taking into account the uncertainty due to both the estimation and the model selection steps. Spec…

Mathematical optimizationWalsBayesian probabilityStability (learning theory)Bayesian analysisSettore SECS-P/05 - EconometriaInferenceBmaBayesian inference01 natural sciencesLeast squares010104 statistics & probabilityMathematics (miscellaneous)st0239 bma wals model uncertainty model averaging Bayesian analysis exact Bayesian model averaging weighted-average least squares0502 economics and businessLinear regressionWeighted-average least squares0101 mathematicsSettore SECS-P/01 - Economia Politica050205 econometrics Mathematicsst0239Exact bayesian model averagingModel selection05 social sciencesEstimatorModel uncertaintyAlgorithmModel averaging
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Contributions of longitudinal studies to evolving definitions and knowledge of developmental dyscalculia

2013

Abstract In the last 20 years, longitudinal studies have demonstrated that it is important to attend to the stability of mathematical performance over time as a facet of dyscalculia, that the manifestation of mathematics difficulties changes with development, and that individual differences in cognitive profiles and learning trajectories observed in children with mathematics difficulties implicate differences between dyscalculic and non-dyscalculic subgroups. Intra-individual differences over time, and external factors related to children's learning environments, also contribute to performance trajectories; moreover, these factors may explain the inconsistent performance profiles observed a…

Mathematical performanceCognitive NeuroscienceNeuroscience (miscellaneous)Stability (learning theory)Cognitionmedicine.diseaseMathematical anxietyEducationDevelopmental psychologyBehavioral NeuroscienceFacet (psychology)Intervention (counseling)Developmental DyscalculiaDyscalculiamedicinePsychologyCognitive psychologyTrends in Neuroscience and Education
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Freedom and pressure in self-disclosure

2013

Today there is great openness about breast cancer, and the current ideology is that this is considered positive. This article draws upon sociological and philosophical theories to explore psychological practices. We ask: do women experience as much freedom to not talk about their illness as they do to talk about it? Do they experience that not being open is as favourably valued as openness is? The article is based on an ethnographic study in which women have given detailed accounts of how, to whom and in which situations they have been open or closed about their illness. It shows that breast cancer sufferers do not always experience a real choice between withholding and sharing information.…

Medical sociologyHealth (social science)Sociology and Political Sciencemedia_common.quotation_subjectNegative libertySelf-disclosureOpenness to experienceIdeologyPhilosophical theoryPsychologySocial learning theorySocial psychologySocial cognitive theorymedia_commonSocial Theory & Health
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