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Les films de patrimoine dans les services de VàD français : entre stratégies de différenciation de l’offre et de sécurisation du catalogue
No full textInternational audienceLes films de patrimoine constituent pour les éditeurs de services de vidéo à la demande (VàD) en France un enjeu de positionnement dans le marché. Ils représentent un marché de niche qui conduit pour certains, à une spécialisation affirmée de leur catalogue dans ce secteur (LaCinetek, Gaumont Classique ou encore Filmo), tandis que pour d’autres, notamment les services généralistes, les films de patrimoine sont d’abord délaissés, pour plus tard « avoir le vent en poupe », à l’image de Netflix ou d’Amazon Prime Video qui dorénavant misent sur ces contenus. Dans le même temps, ce recours croissant aux films de patrimoine et ce faisant le renforcement de leur visibilité dans l’offre de VàD amènent à des formes de mimétisme chez les différents éditeurs de services : dans la sélection, l’éditorialisation et l’événementialisation des films. Ce chapitre propose d’étudier ces tiraillements permanents entre jeu concurrentiel et mimétisme se traduisent dans les stratégies de différenciation et de sécurisation du catalogue déployées par les éditeurs de services de VàD
El euskera en la traducción e interpretación de servicio público en Francia y España
No full textInternational audienc
A flexible block-coordinate forward-backward algorithm for non-smooth and non-convex optimization.
No full textBlock coordinate descent (BCD) methods are prevalent in large scale optimization problems due to the low memory and computational costs per iteration, the predisposition to parallelization, and the ability to exploit the structure of the problem. The theoretical and practical performance of BCD relies heavily on the rules defining the choice of the blocks to be updated at each iteration. We propose a new deterministic BCD framework that allows for very flexible updates, while guaranteeing state-of-the-art convergence guarantees on non-smooth nonconvex optimization problems. While encompassing several update rules from the literature, this framework allows for priority on updates of particular blocks and correlations in the block selection between iterations, which is not permitted under the classical convergent stochastic framework. This flexibility is leveraged in the context of multilevel optimization algorithms and, in particular, in multilevel image restoration problems, where the efficiency of the approach is illustrated
Teleworking and residential relocation: modeling short- and long-term effects on daily mobility
No full textInternational audienceTeleworking has been identified as a key potential means of reducing energy consumption associated with commuting. However, despite being one of the most well-known transport demand management measures, its overall impact remains uncertain. This study investigates the long-term effects of residential relocation on the short-term benefits of teleworking in terms of energy consumption related to daily mobility. Using a desegregated model (Mobisim-Soft) to simulate daily mobilities of four French cities, this paper quantitatively evaluates several teleworking and residential relocation scenarios. Results confirm that teleworking leads to a reduction in travel distances and associated energy consumption. However, the residential relocation effect is substantial, cancelling out more than half of telework's energy savings. While the impact of teleworking remains positive or neutral in terms of energy savings, the study suggests that more attention should be paid to complementary strategies in order to maximise its positive effects in the context of ecological transition
Diversity, Equity and Inclusion Activities in Database Conferences: A 2024 Report
No full textInternational audienceThe database community's Diversity, Equity, and Inclusion (DEI) initiative began in 2020 as the Diversity/Inclusion initiative [1]. This report highlights our activities from 2024. Our goal as a community is to make all DB conference attendees feel included, regardless of their scientific views or personal backgrounds. As a leadership team, the DEI group supports DEI chairs across conferences, preserves institutional memory of DEI e↵orts, shapes a shared vision, and fosters collaboration to advance inclusion. These e↵orts are carried out by core members (Figure 1) and liaisons from each conference's executive committee (Figure 2). The initiative was relaunched in January 2024 with a new structure based on five key actions: COORDINATE, to support collaboration between core members, liaisons, and DEI chairs; SCOUT, to gather best DEI practices from other communities; ETHICS, to create and promote ethical guidelines for writing and reviewing; MEDIA, to collect and share digital content from DEI@DB events [4]; and DIVERSIFY, to analyze data on diversity, accessibility, and the adoption of DEI principles in research and academia. DBCARES 1 is now o cially part of the DEI initiative. The mission of DBCARES is to create an inclusive and diverse Database community with zero tolerance for abuse, discrimination, or harassment. As part of this integration, we unified the Code of Ethics and introduced clear guidelines for DB conference organizers. Several conferences-including SIGMOD, VLDB, ICDE, and EDBT-continued using CLOSET [2] to ensure fair and transparent reviewer assignments. The SUPPORT, INCLUDE, INFORM, ORGANIZE, and REACH OUT actions have now become standard practice, and since 2024, they are no longer managed by the DEI initiative. To ensure early financial planning for DEI conference activities, SUPPORT is now the responsibility of conference organizers. At the same time, INCLUDE, ORGANIZE, and REACH OUT fall under the direct responsibility of DEI chairs at each conference
: From Higía to Yaso/Aceso. Superstitious therapeutic practices in northern Spain: from action to word
No full textInternational audienc
Entretien - 15 ans de 25 images/SHS: Michèle Dupré, sociologue du travail, CMW
No full textRendre les recherches plus faciles d'accès au grand public : tel est l'objet de l'entretien entre Christian Dury et Michèle Dupré.Faire de la sociologie publique, c'est à dire ouvrir la boîte noire de la recherche scientifique à un public larg
Rapport sur le potentiel de traduction sociétale de l'expertise scientifique sur la diversité linguistique
No full textDes détections aux décisions : une approche d'apprentissage profond multi-instances guidé par l'attention pour l'inspection visuelle des pneumatiques
No full textInternational audienceThis paper proposes a data-driven methodology within the "detect-repair" strategy of zero-defect manufacturing (ZDM) for quality assessment of tires at the end of the production line. By integrating a decision support system (DSS) based on multiple instance learning (MIL) with an existing defect detection system, our approach marks a significant step forward in automating accurate tire quality assessment. This enables informed decisions regarding repair or delivery to be made without manual intervention. Our proposed method extends its utility across any manufacturing sectors needing to ensure its product quality based on tacit knowledge. Notably, the proposed DSS leverages historical data to outperform rule-based systems through an attention-based deep learning neural network, improving decision-making accuracy and reducing false positives. Moreover, the attention scores are used to obtain explainable predictions for each detected defect. The achieved area under the curve (AUC) value of 0.837 demonstrates the proposed system's strong predictive performance. This innovative data-driven methodology not only represents progress in ZDM but also allows to make a step further towards more efficient, adaptive decision support systems in industrial quality control