Paralytic rabies outbreak mimicking guillain–Barré syndrome in French Amazonia

International audienceBackground In the Amazonian region, vampire bats are the primary reservoir of rabies virus, causing sporadic and lethal human rabies cases that often remain unnoticed. Managing human cases in this region is challenging and further complicated by atypical clinical forms and the potential exposure to various toxic compounds, particularly among gold miners. Methods We carried out clinical, electrical, biological and histological analysis of concurrent cases of progressive motor neuronopathy and fatal encephalitis in a context of regular exposure to bat bites of gold miners living in a small and remote gold mine camp in Amazonia, in French Guiana, South America. Findings We analyzed a spatio-temporal cluster of three suspected rabies cases in 2024 with a fatal outcome, with concomitant onset of acute bilateral lower-limb paralysis without demyelination, two of which occurred presumably two weeks after a bat-bite. Electroneuromyography suggested the involvement of the anterior horn of the spinal cord, as described in furious forms of rabies. None of the cases exhibited other cardinal signs of the furious form. Confirmation of rabies was obtained for them on sera and brain biopsies collected ante- and post-mortem respectively. Interpretation The concurrent occurrence of disease, the axonal motor neuropathy mimicking the motor form of Guillain Barré syndrome in the context of paralytic rabies, lead to diagnostic-wandering. This underscores the importance of thinking about vampire bat rabies virus in the presence of any atypical neurological picture in patients living in exposed areas in Latin America

: Rapport d’étude ethnobotanique, version du 11/02/2026

L’arbre à pain (Artocarpus altilis (Parkinson) Fosberg), appelé pyé friyapen en créole martiniquais, constitue une ressource stratégique pour la Martinique, à la croisée des enjeux alimentaires, sanitaires, culturels et écologiques. Arbre productif, résilient et polyvalent, il est profondément ancré dans les pratiques alimentaires, médicinales et culturelles locales. Ce rapport propose une synthèse de ses usages contemporains, établie sur la base d’enquêtes ethnobotaniques de terrain, réalisées en 2025, dans l’ensemble de l’ile, ainsi que sur une revue de la littérature scientifique, focalisée sur la région caribéenne, concernant les divers usages de cette espèce. L’objectif de ce rapport est d’éclairer les politiques publiques de souveraineté alimentaire, de santé communautaire, de valorisation des savoirs locaux et de transition agro-écologique portées par la Collectivité Territoriale de Martinique

Benchmarking Large Language Models on Floating-Point Error Classification

This paper investigates the capability of Large Language Models (LLMs) to detect and classify floating-point errors statically in software code. We introduce InterFLOPBench, a benchmark of 90 C kernels with 1 130 test samples designed to evaluate LLMs across six categories of floating-point error: cancellation, comparison, division by zero, overflow, underflow and NaN, compared across 14 LLMs. The evaluation framework treats floating-point error detection as a multi-label classification problem and employs the F1-score metric to measure performance. Results demonstrate that latest models (Qwen 3 32b, Gemini 2.5 Flash, Phi 4 Reasoning, DeepSeek R1T2, and gpt-oss 20b and 120b) achieve a performance greater than 0.88 overall F1-score. Performance varies between error categories, between explicit operations such as division by zero (Average F1-score: 0.8479) and more subtle numerical phenomena such as underflow (Average F1-score: 0.6059) and cancellation (Average F1-score: 0.6164)

Runtime Monitoring for Safety-Critical Vision-based Runway Detection

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Épistémologies africaines et afrodiasporiques: Stratégies d’affranchissement intellectuel dans les aires géoculturelles dites francophone et lusophone

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The Global Spectra-Trait Initiative: A database of paired leaf spectroscopy and functional traits associated with leaf photosynthetic capacity

International audienceAccurate assessment of leaf functional traits is crucial for a diverse range of applications from crop phenotyping to parameterizing global climate models. Leaf reflectance spectroscopy offers a promising avenue to advance ecological and agricultural research by complementing traditional, time-consuming gas exchange measurements. However, the development of robust hyperspectral models for predicting leaf photosynthetic capacity and associated traits from reflectance data has been hindered by limited data availability across species and environments. Here we introduce the Global Spectra-Trait Initiative (GSTI), a collaborative repository of paired leaf hyperspectral and gas exchange measurements from diverse ecosystems. The GSTI repository currently encompasses over 7500 observations from 397 species and 41 sites gathered from 36 published and unpublished studies, thereby offering a key resource for developing and validating hyperspectral models of leaf photosynthetic capacity. The GSTI database is developed on GitHub (https://github.com/plantphys/gsti, last access: 4 January 2026) and published to ESS-DIVE https://doi.org/10.15485/2530733, Lamour et al., 2025). It includes gas exchange data, derived photosynthetic parameters, and key leaf traits often associated with traditional gas exchange measurements such as leaf mass per area and leaf elemental composition. By providing a standardized repository for data sharing and analysis, we present a critical step towards creating hyperspectral models for predicting photosynthetic traits and associated leaf traits for terrestrial plants

A large transient multi-scenario multi-model ensemble of future streamflow and groundwater projections in France

International audienceA large transient multi-scenario and multi-model ensemble of future streamflow and groundwater projections in France developed in a national project named Explore2 was recently made available. The main objective of Explore2 is to provide rich and spatially-consistent information for the future evolution of hydrological (surface and groundwater) resources and extremes in France to support adaptation strategies. The Explore2 dataset was obtained using a nested multi-scenario multi-model approach to estimate future uncertainty and to assess local climate at the catchment scale: three greenhouse gas (GHG) emission scenarios, a set of 17 combinations of Global Climate Models and Regional Climate Models (GCM/RCM), and two bias correction methods provide the meteorological forcing for nine surface hydrology models and four groundwater hydrology models (one to simulate groundwater recharge and three to simulate groundwater level). In this paper, we present the methodology underlying the dataset, the evaluation of the hydrological models against daily observations of streamflow and groundwater level, and the key messages on the impact of climate change on both mean river flows and groundwater recharge. This large set of hydrological projections shows a high model agreement on the decrease in seasonal flows in the South of France under the RCP8.5 high-emission scenario, confirming its hotspot status. The surface hydrological models agree on the decrease in summer flows across France under the RCP8.5 scenario, with the exception of northern part France. This area may indeed benefit from more active winter recharge that may counterbalance decrease in summer precipitation and increase in evapotranspiration. In addition to northern France, annual groundwater recharge is projected to increase slightly in the north-east while remaining unchanged elsewhere by the end of the century, according to the RCP8.5 scenario. In the mountainous areas, winter flows will increase as a result of higher air temperature and the high degree of agreement between the models holds regardless of the RCP considered. Unsurprisingly, the higher the GHG emission scenario, the higher the median changes. Most of these changes are organised in France along a north-south gradient, regardless of the RCP considered

Modélisation des hauteurs d’eau dans les plaines d’inondation avec les GNN

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Déploiement et Maillage de stations instrumentées en IoT sur le territoire pour diverses études_AG AnaEE 2026 "ECOLOGGING"

International audienceIn this poster, we present the deployments of the different types of instrumented stations developed within the framework of the "ECOLOGGING” project, carried out during the year 2024/2025, as well as the main developments, the results obtained, and the conclusions. The “ECOLOGGING” stations are deployed according to the nature of the studies conducted and the associated specific scientific needs.Dans ce poster, nous présentons les déploiements des différents types de stations instrumentées développées dans le cadre du projet "ECOLOGGING", réalisés au cours de l’année 2024/2025, ainsi que les principales évolutions, les résultats obtenus et les conclusions. Les stations ECOLOGGING sont déployées en fonction de la nature des études menées et des besoins scientifiques spécifiques associés

Analyser la vulnérabilité différentielle des territoires côtiers à l'échelle de l'île de La Réunion

International audienceIle tropicale du sud-ouest de l’océan Indien, La Réunion est fortement exposée aux risques côtiers (érosion, submersion marine, inondations) en contexte de forçages paroxysmaux (cyclones, houles australes) dont l’intensité et la récurrence risquent d’être, selon les projections du GIEC, amplifiées par le changement climatique.Ces aléas interviennent dans un contexte de disparités territoriales, où les dynamiques socio-spatiales et les modes d’habiter différenciés participent à la production de vulnérabilités contrastées à l’échelle de l’île. Documenter et qualifier ces vulnérabilités dans une perspective systémique est l’objectif des Observatoires du littoral (Meur-Ferec et al., 2020). Cette recherche décline les indicateurs spatiaux de vulnérabilité systémique articulant composantes physiques, sociales et institutionnelles du risque, et les croise avec des indicateurs de vulnérabilité sociale contextualisés (Johnson et al., 2023) afin d’examiner comment les inégalités sociales et territoriales se traduisent spatialement face aux aléas naturels et interagissent avec les politiques publiques d’aménagement du territoire, notamment urbanisme et prévention des risques.Elle s’inscrit dans trois sites situés dans des secteurs fortement impactés par les risques côtiers et compris dans des périmètres Politiques de La Ville identifiés comme vulnérables à partir d’indicateurs socio-économiques (Cutter et al., 2003). Les entretiens auprès des gestionnaires et spécialistes des risques côtiers constituent le point de départ de l’analyse : identification d’enjeux, perceptions et pratiques de gestion.Enfin, la démarche cartographique mobilise le système d’information géographique (SIG) et les données maillées de l’observatoire du littoral, ainsi que des données socio-économiques de l’INSEE et des données qualitatives issues d’entretiens. Elle cherche à éclairer les logiques de production d’une vulnérabilité différenciée (Blaikie et al., 2004) sur les littoraux réunionnais et à questionner la cohérence des politiques publiques à l’échelle locale. Les cartes produites constituent un appui pour confronter ces discours aux données disponibles et mettre en évidence les contrastes spatiaux et des dynamiques différenciées