22077 research outputs found
Sort by
Review of Rosendo & Baigorri-Jalón (2023): Towards an Atlas of the History of Interpreting
No full texteditorial reviewe
Confusing my viewpoint with his: Altered self-other distinction performance in antisocial personality disorder
Full text linkpeer reviewedDeficits of social cognition are regularly but inconsistently reported among individuals with antisocial personality disorder (ASPD). Because of the multifaceted nature of social cognition, deficits might be only observed when assessing specific facets of social cognition and under sufficiently demanding conditions. This study examined self-other distinction performance, a key facet lying at the core of the attachment-based model of mentalizing (Fonagy & Luyten, 2009). Twenty-one forensic inpatients with ASPD and 19 participants from the community completed a visual perspective-taking paradigm allowing to tease apart self-other priority (i.e., how self-focused one is) from self-other distinction performance (i.e., how much one confuses his with others’ mental states). The ASPD group made significantly more errors at handling conflicting self-other viewpoints by enforcing self-other distinction (19%) than the control group (4%), but the ASPD group was not significantly more self-focused. In contrast, the Interpersonal Reactivity Index self-report scale did not differentiate the two groups. However, a novel measure of self-other distinction based on Empathic concern (i.e., the tendency to experience feelings of concern and compassion for others) and Personal distress subscales (i.e., the tendency to experience personal distress in response to the distress of others) did differentiate the two groups, albeit to a significantly lower extent than the objective measure of self-other distinction. Altogether, these findings are in line with the theory that there is a self-other distinction deficit in ASPD and advocate for psychometric approaches embracing the multifaceted nature of social cognition and the need for objective measures with sufficient sensitivity.3. Good health and well-being16. Peace, justice and strong institution
Perception de la gestion de classe chez les futurs enseignants : quels besoins en formation initiale ?
Full text linkeditorial reviewedRésumé
Cette enquête quantitative vise à comprendre la perception de la gestion de classe auprès de futurs enseignants en Fédération Wallonie-Bruxelles, en explorant leur représentation initiale, les difficultés perçues et leur sentiment de préparation. À partir d’un questionnaire administré à 189 étudiants en première année de formation issus de diverses sections, les réponses ont été analysées selon l’Échelle du Sentiment d’Efficacité Personnelle des enseignants en Gestion de Classe (ÉSEPGC) de Gaudreau et al. (2015), en intégrant des thèmes supplémentaires cités par les répondants.
Méthodologie
Les données recueillies, à travers un questionnaire papier et en ligne, ont été codées et analysées de manière déductive itérative avec l’ÉSEPGC, complétée par l’identification de thèmes émergents, notamment l’individualisation des apprentissages et le bien-être de l’enseignant. Des analyses statistiques ont été effectuées pour examiner les différences selon le cursus, le genre, le parcours académique et le sentiment de préparation des futurs enseignants.
Résultats
Les résultats montrent que les futurs enseignants perçoivent comme principales la gestion des comportements difficiles (59,3 %) et le développement de relations sociales positives, ce qui corrobore en partie l’échelle de Gaudreau. Cependant, des thèmes non pris en compte dans l’ÉSEPGC, tels que la différenciation pédagogique (21.7 %) et le bien-être de l’enseignant (3,2 %), ont émergé, suggérant des besoins spécifiques non anticipés par cette échelle.
Cette enquête souligne l’importance d’intégrer la gestion de classe sous divers aspects dans la formation initiale et d’adapter son approche aux besoins perçus par les futurs enseignants, notamment en renforçant leur pratique et en abordant les défis liés à la diversité des élèves et à leur bien-être personnel.4. Quality educatio
The Rights of Nature Go from Theory to Reality
Full text linkeditorial reviewedDevelopments in Ecuador, New Zealand, Spain, and elsewhere show how legal representation for the nonhuman world has begun to take hold around the world, varying with local circumstances. Ecuador’s 2008 constitution broke new ground by including rights for nature, but these have since been wielded by the government in questionable cases. New Zealand and Spain have pioneered the granting of legal personhood to specific natural objects—a former national park and Europe’s largest saltwater lagoon
The time has come for revising the rules of clozapine blood monitoring in Europe. A joint expert statement from the European Clozapine Task Force.
Full text linkpeer reviewe
Research Data Management - AVRE Training
Full text linkSlides of the training session about open science organized by UMONS - Formations Transversales. New version with more content about DMPs
Pratiques enseignantes à l’université et confrontation aux apprentissages des étudiants
Full text linkSimulation et optimisation d’un sécheur à l’échelle industrielle par un procédé de Temperature Swing Adsorption
No full textEdge AI System for Real-Time and Explainable Forest Fire Detection Using Compressed Deep Learning Models
No full textpeer reviewedForests are vital natural resources but are highly vulnerable to disasters, both natural (e.g., lightining strikes) and human induced. Early and automated detection of forest fire and smoke is critical for mitigating damages. The main challenge of this kind of application is to provide accurate, explainable, real-time and lightweight solutions that can be easily deployable by and for users like firefighters. This paper presents an embedded and explainable artificial intelligence “Edge AI” system, for real-time forest fire, and smoke detection, using compressed Deep Learning (DL) models. Our model compression approach allowed to provide lightweight models for Edge AI deployment. Experimental evaluation on a preprocessed dataset composed of 1500 images demonstrated a test accuracy of 98% with a lightweight model running in real-time on a Jetson Xavier Edge AI resource. The compression methods preserved the same accuracy, while accelerating computation (3× to 18× speedup), reducing memory consumption ( 3.8× to 10.6×), and reducing energy consumption (3.5× to 6.3×)
Integrating Flow Chemistry With Electrospray Ionization Mass Spectrometry
Full text linkpeer reviewedFlow chemistry is a transformative method that facilitates the exploration of chemical reactivity and enables process automation. In this context of high-throughput experimentation, analysing reaction outputs often constitutes a bottleneck. The direct integration of flow chemistry with electrospray ionization mass spectrometry (ESI-MS) is emerging as a method for the real-time monitoring of reaction mixtures in flow conditions, paving the way for reaction optimization and mechanistic investigations. As shown in selected examples, flow chemistry coupled to ESI-MS facilitates the detection and characterization of reaction intermediates and allows for tracking reaction dynamics under continuously changing conditions. Furthermore, establishing direct feedback between the flow setup and the analytical instrument enables the autonomous optimization of experimental conditions based on the real-time MS readout. Altogether, MS approaches hold the potential to streamline the development of complex synthetic pathways in flow. [a] Organic Synthesis an