Search results for "e learning"

showing 10 items of 2703 documents

Continued Multidisciplinary Project-based Learning – Implementation in Health Informatics

2008

Summary Objectives: Problem- and project-based learning are approved methods to train students, graduates and post-graduates in scientific and other professional skills. The students are trained on realistic scenarios in a broader context. For students specializing in health informatics we introduced continued multidisciplinary project-based learning (CM-PBL) at a department of medical informatics. The training approach addresses both students of medicine and students of computer science. Methods: The students are full members of an ongoing research project and develop a project-related application or module, or explore or evaluate a sub-project. Two teachers guide and review the students’ …

Advanced and Specialized NursingInternetMedical educationComputer sciencebusiness.industryHealth InformaticsContext (language use)Problem-Based LearningAlternative educationProject-based learningHealth informaticsFormative assessmentHealth Information ManagementProblem-based learningMultidisciplinary approachActive learningHospital Information SystemsComputingMilieux_COMPUTERSANDEDUCATIONInterdisciplinary CommunicationProgram DevelopmentbusinessMedical InformaticsMethods of Information in Medicine
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The Big Five Traits and Their Ramifications

2020

This chapter focuses on the analysis of the Big Five traits, discussed in relation to the classical and modern views on the trait hierarchy. In the next section the socioaffective, cognitive and educational, as well as behavioural ramifications of each trait are outlined in order to create a general background for the analysis of the Big Five in the foreign language learning context. In the light of the above considerations, each trait appears to have beneficial, and also negative effects for the individual’s functioning. Finally, a discussion of age and gender differences in the Big Five, and their development across the lifespan is offered.

Age and genderHierarchyForeign language learningTraitContext (language use)CognitionBig Five personality traitsRelation (history of concept)PsychologyCognitive psychology
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miR-126-3p and miR-21-5p as Hallmarks of Bio-Positive Ageing; Correlation Analysis and Machine Learning Prediction in Young to Ultra-Centenarian Sici…

2022

Human ageing can be characterized by a profile of circulating microRNAs (miRNAs), which are potentially predictors of biological age. They can be used as a biomarker of risk for age-related inflammatory outcomes, and senescent endothelial cells (ECs) have emerged as a possible source of circulating miRNAs. In this paper, a panel of four circulating miRNAs including miR-146a-5p, miR-126-3p, miR-21-5p, and miR-181a-5p, involved in several pathways related to inflammation, and ECs senescence that seem to be characteristic of the healthy ageing phenotype. The circulating levels of these miRNAs were determined in 78 healthy subjects aged between 22 to 111 years. Contextually, extracellular miR-1…

Aged 80 and overSettore MED/04 - Patologia Generaleageing; inflamm-ageing; endothelial senescence; longevity; miRNAsagingEndothelial Cellsinflamm-ageingGeneral Medicineinflamm-agingMachine LearningMicroRNAslongevityageingendothelial senescenceCentenariansmiRNAsHumansCirculating MicroRNABiomarkersCells; Volume 11; Issue 9; Pages: 1505
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Neuroprotective effects of behavioural training and nicotine on age-related deficits in spatial learning.

2006

Studies in humans and animals show a clear decline in spatial memory with age and several approaches have been adopted to alleviate this impairment. The purpose of our review is to assess the studies that have suggested the possible neuroprotective actions of behavioural training and nicotine-applied both independently and in conjunction-on age-related deficits in spatial learning. Both spatial pretraining and nonspatial experiences influence an animal's performance in spatial tasks. In aged rats, the experience of training in the water maze task increases the number of newly generated neurons in the hippocampus. The neuroprotective effects of nicotine have been demonstrated in both in-vitr…

AgingNicotineHippocampusWater mazeReceptors NicotinicNeuroprotectionSpatial memoryHippocampusNicotineBehavior TherapyEscape ReactionOrientationmedicineAnimalsHumansMaze LearningProblem SolvingPharmacologyConfoundingNeurodegenerative DiseasesSpatial cognitionRatsPsychiatry and Mental healthNeuroprotective AgentsPractice PsychologicalMental RecallSpatial learningSeptum PellucidumPsychologyCognitive psychologymedicine.drugBehavioural pharmacology
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Cannabinoid receptor 1 deficiency in a mouse model of Alzheimer's disease leads to enhanced cognitive impairment despite of a reduction in amyloid de…

2012

Alzheimer's disease (AD) is characterized by amyloid-beta deposition in amyloid plaques, neurofibrillary tangles, inflammation, neuronal loss, and cognitive deficits. Cannabinoids display neuromodulatory and neuroprotective effects and affect memory acquisition. Here, we studied the impact of cannabinoid receptor type 1 (CB1) deficiency on the development of AD pathology by breeding amyloid precursor protein (APP) Swedish mutant mice (APP23), an AD animal model, with CB1-deficient mice. In addition to the lower body weight of APP23/CB1(-/-) mice, most of these mice died at an age before typical AD-associated changes become apparent. The surviving mice showed a reduced amount of APP and its …

Agingmedicine.medical_specialtyPathologyCannabinoid receptormedicine.medical_treatmentMutantMice TransgenicInflammationDiseaseNeuroprotectionAmyloid beta-Protein PrecursorMiceReceptor Cannabinoid CB1Alzheimer DiseaseCell Line TumorInternal medicinemental disordersmedicineAmyloid precursor proteinAnimalsHumansMaze LearningCognitive impairmentAmyloid beta-Peptidesbiologybusiness.industryGeneral NeuroscienceBody WeightAge FactorsBrainPeptide FragmentsDisease Models AnimalEndocrinologyGene Expression RegulationMutationbiology.proteinlipids (amino acids peptides and proteins)MicrogliaNeurology (clinical)CannabinoidGeriatrics and Gerontologymedicine.symptomCognition DisordersbusinessDevelopmental BiologyNeurobiology of Aging
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Anxiolytic-like effects of acute and chronic GABA transporter inhibition in rats.

2002

Acute GABA transporter inhibition can induce anxiolytic-like behaviors. The present analysis addressed whether chronic treatment (23 days via drinking water) with a GABA transporter inhibitor affects rat behavior similar to acute treatment and interferes with additional benzodiazepine-receptor agonistic treatment. Seventy-one rats divided into seven groups were acutely treated with either vehicle, diazepam (2 mg/kg), zolpidem (0.05 mg/kg), tiagabine (19 mg/kg) or chronically with tiagabine with or without acute diazepam or zolpidem. Animals were behaviorally characterized in an elevated plus-maze. None of the treatments induced changes in the activity of the animals. Acute and chronic treat…

AgonistMalemedicine.medical_specialtyElevated plus mazeZolpidemGABA Plasma Membrane Transport ProteinsTime FactorsTiagabinemedicine.drug_classPyridinesNipecotic AcidsOrganic Anion TransportersPharmacologyAnxiolyticDrug Administration Schedulechemistry.chemical_compoundInternal medicinemedicineGABA transporterAnimalsNeurotransmitterMaze LearningTiagabineBiological PsychiatryDiazepambiologyBehavior Animalbusiness.industryMembrane ProteinsMembrane Transport ProteinsDrug SynergismRats Inbred StrainsRatsZolpidemPsychiatry and Mental healthEndocrinologyNeurologychemistryAnti-Anxiety Agentsbiology.proteinNeurology (clinical)businessCarrier ProteinsDiazepammedicine.drugJournal of neural transmission (Vienna, Austria : 1996)
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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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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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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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Multi-sensor Fusion through Adaptive Bayesian Networks

2011

Common sensory devices for measuring environmental data are typically heterogeneous, and present strict energy constraints; moreover, they are likely affected by noise, and their behavior may vary across time. Bayesian Networks constitute a suitable tool for pre-processing such data before performing more refined artificial reasoning; the approach proposed here aims at obtaining the best trade-off between performance and cost, by adapting the operating mode of the underlying sensory devices. Moreover, self-configuration of the nodes providing the evidence to the Bayesian network is carried out by means of an on-line multi-objective optimization.

Ambient intelligenceComputer sciencebusiness.industryMode (statistics)Ambient Intelligence Bayesian Networks Multi-objective optimization.Bayesian networkMachine learningcomputer.software_genreMulti-objective optimizationVariable-order Bayesian networkNoise (video)Artificial intelligenceData miningbusinesscomputerEnergy (signal processing)
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