Archives ouvertes de l'université catholique de l'Ouest
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Veille
No full textNational audienceVeille normative et doctrinale en assurances, janvier-février 2025. Digital operational resilience act, programme de travail de l'ACPR
Structures fondamentales des sociétés humaines ou structures fondamentales des sociétés ?
No full textB. Lahire (2023) questionne la pertinence de penser, aujourd’hui, en termes de structures fondamentales des sociétés humaines mais n’évoque pas les dernières recherches sur les études animales et les récentes tentatives de sociologie dédiée aux autres animaux. Il lui manque à notre sens des éléments clés pour investir des lois fondamentales au-delà de l’humain. Nous souhaitons lancer un débat autour de trois lois qui pourraient s’adapter à l’ensemble du règne animal.Bernard Lahire. Les structures fondamentales des sociétés humaines. Paris : La Découverte, 2023. 970 p. (Sciences sociales du vivant) ISBN : 978-2-3480-7761-6
Incarner Johnny Cash, parler de l’individu contemporain : approche herméneutique
No full textInternational audienc
Faire une sociologie des sociologues: Pour une sociologie de la sociologie comme institution
No full textInternational audienc
Pratiquer le droit naturel?
No full textNational audienceÉtude des rapports entre droit naturel et droit positif à l'aune de la pensée aristotélico-thomiste. Examen des acceptions multiples du terme nature
Veille
No full textNational audienceVeille normative et doctrinale, octobre novembre 2025: prévention du risque incendie, refus du concours de la force publique et réparation, projet de loi de finances pour 2026, PLFSS 2026, rapport annuel du CCSF
Production of enriched protein extracts after High-Pressure Homogenization from cultivated Ulva spp. (Chlorophyta, Ulvales)
No full textInternational audienceDespite major efforts to guarantee access to food supplies for as many people as possible, global hunger is still increasing. Nowadays, in the context of food sustainability to ensure food safety and security, the search for innovative foods is crucial. Ulva spp (Chlorophyta, Ulvales) (known as Ao-nori or sea lettuce) which are often used as sea vegetables, have protein contents that vary from 9 to 32% of the dry weight. In Asian countries, Ulva is popularly consumed as a foodstuff or can be used as an extract, for example, in health supplements.PROMALG-Health (ANR-23-DIVP-0005) project proposes new sources of protein-rich raw materials from different species of cultivated macroalgae dedicated to food of seniors and long-stay patients in Brest hospital (France). In this study, an emerging non-thermal food processing technique, i.e. High-Pressure Homogenization (HPH), was applied as a pretreatment of dried Ulva sp. batches at 600, 800, 1000 Bar at 25°C during 5 cycles. The rheological and granulometric analysis of the different seaweed extracts were characterized. The effect of HPH on biochemical composition (protein and amino acids content, total sugars, ash, polyphenol content), biological activities were evaluated
Soundrelax : démo et étude quantitative et qualitative sur vétérans canadiens
No full textNational audienc
Fusion of regional and pixel-level plantar pressure features for Diabetic peripheral neuropathy detection
No full textInternational audienceDiabetic peripheral neuropathy (DPN) alters foot biomechanics in subtle and progressive ways, often undetected by standard clinical tests in early stages. In this study, we propose a machine learning framework that integrates regional, global, and pixel-level features extracted from normalized plantar pressure recordings to detect DPN in different stages. The relative importance of different regions of the feet (forefoot, midfoot, rearfoot) was emphasized in the classification task, which provides clinically interpretable insights into neuropathic progression. The dataset includes 54 patients divided into four groups: patients with diabetes without PN; with signs of mild PN; with signs of severe PN; and a control group without diabetes. In total, 321 features were extracted: 21 clinically meaningful regional and global features, and the 300 most informative pixellevel features. These were reduced using Principal Component Analysis (PCA) before classifier training. Among all the models tested, the CatBoost achieved the highest accuracy of 92.92%. Notably, the model maintained strong sensitivity across all classes, including the different stages of DPN. Our findings demonstrate that a fusion of pressure-based features, analyzed with machine learning and dimensionality reduction, offers a reliable and interpretable tool for early screening and staging of diabetic neuropathy.</div
Service-Learning et expérience de Charité éducative
No full textInternational audienceConsacré à une relecture des expériences de Service-Learning vécues par des étudiants de l’UCL, le texte illustre comment le service de la charité ouvre le coeur et l’intelligence des étudiants concernés dans le cadre de l’apprentissage de compétences métiers. LeService-Learning permet à la fois un développement intégral de la personne et un service du bien commun, signifiant du caractère propre de l'université