HAL-Université de Bretagne Occidentale
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Revirement de jurisprudence sur la faculté de résiliation de l’assureur en cas de non-paiement de la prime et d’aliénation de la chose assurée: observations sous Cass. 2e civ., 6 nov. 2025, no 23-13.984
No full textInternational audiencePar son arrêt du 6 novembre 2025, la deuxième chambre civile de la Cour de cassation opère un revirement de jurisprudence concernant la faculté de résiliation de l’assureur prévue en cas de non-paiement de la prime et d’aliénation de la chose assurée. Désormais, l’assureur n’ayant pas été informé de l’aliénation de la chose assurée peut, en cas de défaut de paiement de la prime, suspendre la garantie puis résilier le contrat, après avoir adressé à celui qui a aliéné la chose, ou à la personne chargée du paiement des primes, à leur dernier domicile connu de lui, la mise en demeure prévue au deuxième alinéa de l’article L. 113-3 du Code des assurances
Integrative assessment of biohydrogen and biomethane production from Brittany and Caribbean Sargassum (Ochrophyta, Fucales)
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Automated multimodal severity assessment of diabetic retinopathy using ultra-widefield color fundus photography and clinical tabular data
No full textInternational audienceThis study introduces an automatic deep-learning-based approach to diabetic retinopathy (DR) severity assessment by integrating two modalities: Ultra-Widefield Color Fundus Photography (UWF-CFP) from the CLARUS 500 device (Carl Zeiss Meditec Inc., Dublin, CA, USA) and a comprehensive set of clinical data from the EVIRED project. We propose a framework that combines the information from 2D UWF-CFP images and a set of 76 tabular features, including demographic, biochemical, and clinical parameters, to enhance the classification accuracy of DR stages. Our model uses advanced machine learning techniques to address the complexities of synthesizing heterogeneous data types, providing a holistic view of patient health status. Results indicate that this fusion outperforms traditional methods that rely solely on imaging or clinical data, suggesting a robust model which can provide practitioners with a supportive second opinion on DR severity, particularly useful in screening workflows. We measured a multiclass accuracy of 63.4% and kappa of 0.807 for our fusion model which is 2.1% higher in accuracy and 0.022 higher in kappa compared to the image unimodal classifier. Several interpretation methods are used to provide practitioners with an inside view of the workings of classification methods and allow them to discover the most important clinical features
Distinct contributions of suspended and sinking prokaryotes to mesopelagic carbon budget
No full textInternational audienceThe mesopelagic zone, between 100 and 1000 meters depth, is a crucial layer, in which carbon preliminary coming down from the surface is transformed before a portion makes it into the deep ocean. While eddies and their fronts influence surface productivity and carbon export, their effects deeper in the water column remain poorly understood. Here we show the importance and contribution of dark carbon fixation—the conversion of inorganic into organic carbon by prokaryotes—across five contrasting hydrological features in the North Atlantic, using isotopic tracers and quantification of chemoautotrophy genes. The approach allows simultaneous assessment of dark carbon fixation and heterotrophic activity of prokaryotes living suspended in seawater and attached to gravitationally settling particles. Our results highlight that heterotrophic prokaryotes attached to sinking particles contribute up to 21% of the total organic carbon required to sustain prokaryotic metabolism under the influence of eddy fronts. In contrast, dark carbon fixation by suspended prokaryotes can contribute up to half of the total carbon input to the mesopelagic zone in the cyclonic eddy. Our findings challenge the idea that carbon cycling in the mid-depth ocean is uniform, and highlight the need to integrate microbial fractions and physical heterogeneity into ocean carbon model
L’engagement des adjoints de direction d’établissement scolaire public et privé
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Each temperature degree counts: warming enhances polystyrene nanoplastic toxicity via metabolic disruption in a marine cellular model
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Simultaneous reconstruction of an obstacle and its wavenumber for the Helmholtz equation: a robust optimization approach
No full textIn this paper, we propose a method to recover simultaneously the shape and wavenumber of an object from noisy radar or sonar measurements. The physical problem is modeled in a bounded domain with the Helmholtz equation and appropriate transmission conditions. The approach relies on a Kohn-Vogelius formulation of the inverse problem and uses Nesterov's accelerated gradient descent combined with shape optimization techniques. To address the robustness of the method with respect to measurement noise, we are looking to minimize a convex combination of the expected value and variance, which we achieve by using a Karhunen-Loève expansion. The effectiveness of the approach is demonstrated through twodimensional numerical experiments.</div
Seismogenic and rheological behaviours from time-dependent analysis of earthquake depth distribution in the Corinth Rift
No full textInternational audienceUnderstanding earthquake depth distribution is critical for improving seismogenesis models. While the spatiotemporal pattern of earthquakes is well studied, transient changes in depth distribution remain poorly explored. In this study, we investigate how crustal rheological parameters influence the depth of earthquakes through time, focusing on the Corinth rift, a well-monitored region experiencing a high-level seismic activity in a homogeneous extensional stress field.To calculate crustal yield strength profiles, we compile geophysical and geological data, including heat flow, rock compositions and properties, Moho depth and strain rate. These estimates are then compared to a high-quality 11-year seismic catalogue of the region. An inversion approach is applied to identify crustal layers associated with persistent versus sporadic seismicity defined here instead of the conventional background versus clustered seismicity.Our time analysis reveals that the persistent seismicity nicely matches the theoretical brittle-ductile transition and allows us to confidently define the seismogenic thickness, while sporadic seismicity is clustered at depths associated with swarm occurrences. Both distributions are subject to kilometre-scale changes after magnitude 4.0 -5.5 earthquakes, evidencing a relaxation process even after moderate magnitude events. We conclude that in specific case studies aiming to compare depth distribution and yield strength in the crust, the application of declustering methods may not be optimal for examining the potential rheological controls on earthquake depth distribution and their temporal variations. Instead, the analysis of persistent and sporadic seismicity defined in this study is more accurate and reliable than a declustering approach and offers new and valuable insights for this comparison.</div
Area Efficient Speculative Loop Pipelining for High-Level Synthesis
No full textInternational audienceHigh-Level Synthesis (HLS) allows the automatic generation of efficient circuit designs for computation-intensive kernels, but it lacks flexibility when dealing with irregular control flow. Dynamic and speculative HLS techniques are used to address this issue. These techniques outperform state-of-the-art HLS in kernel execution times but introduce a significant area overhead. In contrast, state-of-the-art HLS easily highlights and exploits resource-sharing opportunities. In this work, we show how to adapt an existing speculative HLS approach to take advantage of well-known static resource sharing mechanisms. Our results show a decrease of the area cost by 34% on average
