Search results for "learning"

showing 10 items of 6669 documents

Effects of pre- and postnatal exposure to 5-methoxytryptamine and early handling on an object-place association learning task in adolescent rat offsp…

2007

A reduction in 5-HT1A receptor response enhances learning and memory performance in rats. Pre- and postnatal treatment with 5-methoxytryptamine (5MT), a non-selective serotonergic agonist, and early handling, reduce the number of 5-HT1A receptors in neonatal and pre-pubertal rat progeny. The aim of this study was to investigate in adolescent male rats the consequences of pre- and postnatal treatment with 5MT and its interaction with early handling on an object-place association learning task, the "Can test", a motivated, non-aversive, spatial/object discrimination task. Results show that a single daily injection of 5MT from gestational days 12 to 21 (1 mg/kg s.c.) and from postnatal days 2 …

AgonistMalemedicine.medical_specialtyTime Factorsmedicine.drug_classOffspringHippocampusSpatial BehaviorSerotonergicHandling Psychological5-MethoxytryptaminePregnancyInternal medicineObject-place associationmedicineAnimalsReceptorPre- and postnatal 5MT Early handlingBehavior AnimalLearning performanceGeneral NeuroscienceAssociation LearningAdolescent raLong-term potentiationGeneral MedicineRatsSerotonin Receptor AgonistsEndocrinologyPrenatal Exposure Delayed EffectsFacilitationLinear ModelsGestationFemalePsychologyNeuroscience research
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Methods matter: Testing competing models for designing short-scale Big-Five assessments

2015

Abstract Many psychological instruments are psychometrically inadequate because derived person-parameters are unfounded and models will be rejected using established psychometric criteria. One strategy towards improving the psychometric properties is to shorten instruments. We present and compare the following procedures for the abbreviation of self-report assessments on the Trait Self-Description Inventory in a sample of 14,347 participants: (a) Maximizing reliability/main loadings, (b) Minimizing modification indices/cross loadings, (c) the PURIFY Algorithm in Tetrad, (d) Ant Colony Optimization, and (e) a genetic algorithm. Ant Colony Optimization was superior to all other methods in imp…

AgreeablenessSocial PsychologyPsychometricsbusiness.industryAnt colony optimization algorithmsConscientiousnessSample (statistics)Machine learningcomputer.software_genreConfirmatory factor analysisGenetic algorithmTraitArtificial intelligencebusinessPsychologycomputerSocial psychologyGeneral PsychologyJournal of Research in Personality
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Integrating Personality Structure, Personality Process, and Personality Development

2017

In this target article, we argue that personality processes, personality structure, and personality development have to be understood and investigated in integrated ways in order to provide comprehensive responses to the key questions of personality psychology. The psychological processes and mechanisms that explain concrete behaviour in concrete situations should provide explanation for patterns of variation across situations and individuals, for development over time as well as for structures observed in intra–individual and inter–individual differences. Personality structures, defined as patterns of covariation in behaviour, including thoughts and feelings, are results of those processe…

Agreeablenessself-regulationSelf-transcendenceSocial PsychologyPersonality developmentmedia_common.quotation_subjectfunctional approach050109 social psychologyBig Five personality traits and cultureAbsorption (psychology)INTELLECTUAL ABILITIESEMOTIONAL INFORMATIONINDIVIDUAL-DIFFERENCESinformation processing050105 experimental psychologyCOGNITIVE-PROCESSEStraitsmotivation5-FACTOR MODELPersonalityemergence0501 psychology and cognitive sciencesstructurenetwork approachdevelopmentmedia_commonLIFE-COURSElearningtrait05 social sciencesAlternative five model of personalityTRAIT CHANGEself-reflectioncausal processaffectpersonalitycausal procePersonality Assessment InventoryPsychologyexplanationTRULY BEHAVIORAL-SCIENCEBIG 5Cognitive psychology
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La agricultura a tiempo parcial y la externalización de servicios agrarios como vehículo del cambio estructural

2010

El «ajuste clásico» ha sido interpretado frecuentemente como la senda racional y óptima de modernización del sector agrario. Esto ha llevado a considerar a la agricultura a tiempo parcial como un subproducto (ineficiente) del modelo clásico. Frente a este planteamiento, el artículo defiende la potencial contribución de la agricultura a tiempo parcial (y la externalización de servicios asociada a la misma) al proceso de innovación y de modernización de las estructuras agrarias. Se revisa críticamente la literatura adoptando una perspectiva microeconómica y territorial y esbozando un marco analítico que combina los enfoques de los costes de transacción y evolucionista. Utilizando información …

Agricultura Aspectes econòmicsAgricultura a tiempo parcial externalización de servicios enfoque evolucionista costes de transacción aprendizaje part-time farming externalisation of services evolutionary approach transaction costs learning Agribusiness Farm Management Financial Economics
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Impaired parietal magnitude processing in developmental dyscalculia

2007

Summary Developmental dyscalculia (DD) is a specific learning disability affecting the acquisition of school-level mathematical abilities in the context of otherwise normal academic achievement, with prevalence estimates in the order of 3–6% [1] . Behavioural studies show deficits in elementary numerical processing among individuals with pure DD [2,3], indicating that deficits in higher-level mathematical skills may stem from impaired representation and processing of basic numerical magnitude. Adult neuropsychological and neuroimaging research points to the intraparietal sulcus as a key region for the representation and processing of numerical magnitude [4]. This raises the possibility of a…

Agricultural and Biological Sciences(all)Learning DisabilitiesBiochemistry Genetics and Molecular Biology(all)Specific learning disabilityDevelopmental DisabilitiesNeuropsychologyNumerosity adaptation effectContext (language use)Intraparietal sulcusmedicine.diseaseGeneral Biochemistry Genetics and Molecular BiologyParietal LobeDyscalculiaDevelopmental DyscalculiamedicineMathematical abilityHumansGeneral Agricultural and Biological SciencesChildNeuroscienceMathematicsMathematicsCurrent Biology
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Worker safety in agriculture 4.0: A new approach for mapping operator's vibration risk through Machine Learning activity recognition

2022

While being a fundamental driver of competitiveness in agroindustry, technological innovation has also introduced new critical elements related, for example, to the sustainability of the production processes as well as to the safety of workers. In such regard, the advent of the 4th industrial revolution (Agriculture 4.0) based on digitalization, is an unprecedented opportunity of rethinking the role of innovation in a new human-centric perspective. In particular, the establishment of an interconnected work environment and the augmentation of the operator’s physical, sensorial, and cognitive capabilities, are two technologies which can be effectively employed for substantially improving the …

Agriculture 4.0 Operator safety Muscoskeletal disorders Vibration risk Machine learning ErgonomicsForestryHorticultureAgriculture 4.0; Ergonomics; Machine learning; Muscoskeletal disorders; Operator safety; Vibration riskAgronomy and Crop ScienceComputer Science Applications
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Closedness properties in team learning of recursive functions

1997

This paper investigates closedness properties in relation with team learning of total recursive functions. One of the first problems solved for any new identification types is the following: “Does the identifiability of classes U1 and U2 imply the identifiability of U1∪U2?” In this paper we are interested in a more general question: “Does the identifiability of every union of n−1 classes out of U1,...,Un imply the identifiability of U1∪...∪Un?” If the answer is positive, we call such identification type n-closed. We show that n-closedness can be equivalently formulated in terms of team learning. After that we find for which n team identification in the limit and team finite identification t…

AlgebraIdentification (information)Mathematical optimizationTeam learningRelation (database)IdentifiabilityLimit (mathematics)Inductive reasoningType (model theory)Priority queueMathematics
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Developing Algebraic Thinking in a Community of Inquiry : Collaboration between Three Teachers and a Didactician

2009

In this thesis I report from a study of the development of algebraic thinking of three teachers, from lower secondary school, and a didactician from a university in Norway (myself). The thesis offers an account of the relationship between the participants’ development of algebraic thinking and the processes related to the creation and development of a community of inquiry. In addition, the thesis presents elements of the relationship between the teachers’ development of algebraic thinking and their thinking in relation to their teaching practice. My theoretical framework was elaborated according to the criteria of relevance and coherence. In order to conceptualise the participants’ developm…

AlgebraMathematics EducationVDP::Mathematics and natural science: 400::Mathematics: 410::Algebra/algebraic analysis: 414Communities of InquiryMathematics LearningVDP::Social science: 200::Education: 280::Subject didactics: 283
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Learning from good examples

1995

The usual information in inductive inference for the purposes of learning an unknown recursive function f is the set of all input /output examples (n,f(n)), n ∈ ℕ. In contrast to this approach we show that it is considerably more powerful to work with finite sets of “good” examples even when these good examples are required to be effectively computable. The influence of the underlying numberings, with respect to which the learning problem has to be solved, to the capabilities of inference from good examples is also investigated. It turns out that nonstandard numberings can be much more powerful than Godel numberings.

AlgebraTransduction (machine learning)Inductive transferComputational learning theoryInductive biasbusiness.industryAlgorithmic learning theoryUnsupervised learningMulti-task learningArtificial intelligenceInstance-based learningbusinessMathematics
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Surviving learning races: An analysis of strategic alliance evolution capabilities

2014

This paper is aimed to identify and understand the main dimensions and processes that underlie the capacity of weaker firms in an initially unbalanced strategic alliance to purposefully channel the fruitful evolution of the alliance by creating, extending or modifying its scope in order to perceive and grasp new value creating opportunities which they would not be able to seize on their own. We call this capacity an alliance evolution capability and intend it as a particular type of dynamic capability of the firm (Teece, Pisano & Schuen, 1997; Helfat et al., 2007). The motivation for this paper is threefold: (1) to understand how weaker firms may survive learning race alliances (Hamel, 1991…

Alliance learning race survivalSettore SECS-P/08 - Economia E Gestione Delle Imprese
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