Search results for "learning."
showing 10 items of 6527 documents
Post-task Effects on EEG Brain Activity Differ for Various Differential Learning and Contextual Interference Protocols
2017
A large body of research has shown superior learning rates in variable practice compared to repetitive practice. More specifically, this has been demonstrated in the contextual interference (CI) and in the differential learning (DL) approach that are both representatives of variable practice. Behavioral studies have indicate different learning processes in CI and DL. Aim of the present study was to examine immediate post-task effects on electroencephalographic (EEG) brain activation patterns after CI and DL protocols that reveal underlying neural processes at the early stage of motor consolidation. Additionally, we tested two DL protocols (gradual DL, chaotic DL) to examine the effect of di…
Class discovery from semi-structured EEG data for affective computing and personalisation
2017
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. Many approaches to recognising emotions from metrical data such as EEG signals rely on identifying a very small number of classes and to train a classifier. The interpretation of these classes varies from a single emotion such as stress [24] to features of emotional model such as valence-arousal [4]. There are two major issues here. First classification approach limits the analysis of the data within the selected classes and is also highly dependent on training data/cycles, all of which limits generalisation. Second issue is that it does not exp…
3D DCE-MRI Radiomic Analysis for Malignant Lesion Prediction in Breast Cancer Patients
2022
Rationale and Objectives: To develop and validate a radiomic model, with radiomic features extracted from breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) from a 1.5T scanner, for predicting the malignancy of masses with enhancement. Images were acquired using an 8-channel breast coil in the axial plane. The rationale behind this study is to show the feasibility of a radio-mics-powered model that could be integrated into the clinical practice by exploiting only standard-of-care DCE-MRI with the goal of reducing the required image pre-processing (ie, normalization and quantitative imaging map generation).Materials and Methods: 107 radiomic features were extracted from a …
Can 3D Digital Breast Tomosynthesis (DBT) improve breast malignant pathology detection? A case-to-case imaging comparison between 3D DBT and 2D Mammo…
2014
Learning objectives Background Findings and procedure details Conclusion Personal information References
Educación formal e informal en confinamiento : una creciente desigualdad de oportunidades de aprendizaje
2021
El cierre de escuelas en Cataluña para contener los efectos de la COVID-19 obligó a las escuelas y las familias a reaccionar en poco tiempo y sin planificación previa ante un nuevo escenario de enseñanza. Este artículo evalúa el impacto del cierre escolar sobre la desigualdad de aprendizaje entre niños de diferentes contextos sociales en Cataluña. A partir de los datos de una encuesta en línea realizada entre el 26 y el 30 de marzo (n = 35.419) a familias con hijos entre 3 y 18 años, nuestro análisis muestra que las oportunidades de aprendizaje varían significativamente en función de las características del alumnado. Durante el confinamiento, algunas escuelas consiguieron adaptarse a las nu…
Investigating Centrality Measures in Social Networks with Community Structure
2021
Centrality measures are crucial in quantifying the influence of the members of a social network. Although there has been a great deal of work dealing with this issue, the vast majority of classical centrality measures are agnostic of the community structure characterizing many social networks. Recent works have developed community-aware centrality measures that exploit features of the community structure information encountered in most real-world complex networks. In this paper, we investigate the interactions between 5 popular classical centrality measures and 5 community-aware centrality measures using 8 real-world online networks. Correlation as well as similarity measures between both t…
Mobiiliopetuksen käyttömahdollisuuksia : oppilaiden omien mobiililaitteiden käyttö peruskoulun alakoulun opetuksessa
2015
Muutaman viime vuoden aikana mobiililaitteiden käyttö kouluissa on yleistynyt. Tämä on osittain aiheuttanut ristiriitaista keskustelua laitteiden käytöstä opetuksessa. Osa opettajista on ottanut mobiililaitteet opetuskäyttöön innokkaasti. Mobiiliopetuksen mahdollisuuksia ei kuitenkaan ole vielä kovin paljon tutkittu. Tällä tutkimuksella oli tarkoitus selvittää, mitä mahdollisuuksia oppilaiden omat mobiililaitteet tarjoavat opetukseen. Aineiston analyysissa pyrittiin etsimään tietoa siitä, miten ongelma-perustaisen opetuksen menetelmä ja pelillisyys vaikuttavat opetus- ja oppimisprosessissa, kun opiskelumenetelmänä käytetään mobiilioppimista ja oppilaiden omia mobiililaitteita. Tutkimus teht…
A new reading of Bronze Age funerary structures in Mongolia through the analysis of their architectural elements, arrangement and form
2022
The archaeological landscape of Mongolia is marked by the presence of numerous funerary monuments (khirigsuurs) and engraved stelae (deer stones), erected by nomadic populations at the end of the Bronze Age. The first observations indicate great regularity in the choice and arrangement of the architectural and iconographic elements at the time when these structures were built. This regularity suggests the existence of shared traditions and social coherence between nomadic communities in a territory covering almost twice that of France. The data available today do not provide sufficient perspective to establish social models at the level of a province, and even less so at the scale of the co…
Use of social over personal information enhances nest defense against avian brood parasitism
2011
Interactions with conspecifics influence the behavioral repertoire of an organism, as they apply to foraging techniques, song acquisition, habitat selection, and mate choice. Few workers have studied the role of social interactions in molding defense responses, especially the defense of the nest. We tested the effect of social interaction on nest defense of the reed warbler (Acrocephalus scirpaceus), one of the main hosts of the brood-parasitic common cuckoo (Cuculus canorus) in Europe. This parasite reduces its host’s breeding success; therefore, any response that prevents successful parasitism should be selected. Because of their high nesting density and consistent cuckoo-specific respons…
Influence of ANN parameters on the performance of a refined procedure to solve the load-flow problem
1999
In recent years, interest in the application of Artificial Neural Networks (ANN) to electrical power systems has grown rapidly. In particular the use of ANN in the solution of the load-flow problem in wide electrical networks is an interesting research topic, because it constitutes a good alternative to the classical numerical algorithms. In this paper a refined solution strategy based on statistical methods, on a particular Grouping Genetic Algorithm (GGA) and on Progressive Learning Network (PLN) is presented. Tests on the solution of load-flow equations of the standard IEEE 118 bus network confirm the good potential of this approach; in particular the search for optimal values of the PLN…