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    Tolérance aux stress thermiques aigus de Macrobrachium Rosenbergii : expérimentations appliquées aux risques d'envahissement écologique en France

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    Biological invasions by alien species are a primary threat to global biodiversity. This thesis assesses the invasion potential of the giant river prawn, Macrobrachium rosenbergii (De Man), a tropical species increasingly farmed in France under confined aquaculture systems. The main objective was to quantify its thermal tolerance limits to evaluate whether the temperate climate acts as a natural barrier to its establishment following accidental release. Acute cold (-1°C/h) and warm (48h at 35°C) thermal stress experiments were performed on two key life stages: post-larvae and adults. Survival rates and critical sublethal endpoints (lethargy) were recorded. The results demonstrate a high sensitivity to cold stress, identifying it as a major ecological barrier. Complete mortality occurred at 10°C for post-larvae and 9°C for adults, temperatures that are above typical winter water temperatures in France, thus making overwintering survival highly unlikely. Conversely, the warm stress experiment revealed a notable tolerance in post-larvae (mean mortality: 30.9 ± 12.7%), while adults were surprisingly more vulnerable (mean mortality: 83.3 ± 28.9%). These findings confirm the potential for seasonal establishment during summer, even under extreme heatwave conditions. In conclusion, while the winter thermal barrier currently limits the risk of establishing perennial populations, the context of global warming validates the precautionary approach of strict containment measures required by regulations. This research provides crucial data for an evidence-based risk assessment and contributes to the sustainable management of this emerging aquaculture industry.Les invasions biologiques par des espèces exotiques représentent une menace écologique majeure. Cette thèse vise à évaluer le potentiel invasif de la crevette géante d'eau douce, Macrobrachium rosenbergii (De Man), une espèce tropicale dont l'élevage se développe en France en systèmes confinés. L'objectif principal était de mesurer ses limites de tolérance thermique pour déterminer si le climat tempéré constitue une barrière à son établissement en cas d'introduction accidentelle. Des expérimentations de stress thermiques aigus, froid (-1°C/h) et chaud (48h à 35°C), ont été menées sur deux stades de développement : les post-larves et les adultes. La survie et les seuils critiques (léthargie) ont été suivis. Les résultats révèlent une forte sensibilité au froid, identifiée comme une barrière écologique majeure. La mortalité totale est atteinte à 10°C pour les post larves et à 9°C pour les adultes, des températures supérieures à celles des eaux françaises en hiver, rendant la survie hivernale très improbable. L'étude du stress chaud a montré une bonne tolérance à 35°C pour les post larves (mortalité moyenne de 30.9 ± 12.7 %), tandis que les adultes se sont avérés plus vulnérables (mortalité moyenne de 83.3 ± 28.9 %). Ces tests ont confirmé la possibilité d'un établissement saisonnier estival sous conditions extrêmes. En conclusion, bien que la barrière hivernale limite fortement le risque d'établissement de populations pérennes, le contexte de réchauffement global justifie les mesures de confinement strictes imposées par la réglementation. Ce travail fournit des données essentielles pour une évaluation du risque éclairée et une gestion durable de cette filière aquacole

    The DECIDE project: from monitoring and surveillance data to decision-support for farmers and veterinarians

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    International audienceFarmers, veterinarians and other animal health managers in the livestock sector are currently missing sufficient information on the prevalence and burden of contagious endemic animal diseases. They need adequate tools for risk assessment and prioritization of control measures for these diseases. The DECIDE project develops data-driven decision-support tools, which present (i) robust and early signals of disease emergence and options for diagnostic confirmation; and (ii) options for controlling the disease along with their implications in terms of disease spread, economic burden and animal welfare. DECIDE focuses on respiratory and gastro-intestinal syndromes in the three most important terrestrial livestock species (pigs, poultry, cattle) and on reduced growth and mortality in two of the most important aquaculture species (salmon and trout). For each of these, we (i) identify the stakeholder needs; (ii) determine the burden of disease and costs of control measures; (iii) develop data sharing frameworks based on federated data access and meta-information sharing; (iv) build multivariate and multi-level models for creating early warning systems; and (v) rank interventions based on multiple criteria. Together, all of this forms decision-support tools to be integrated in existing farm management systems wherever possible and to be evaluated in several pilot implementations in farms across Europe. The results of DECIDE lead to improved use of surveillance data and evidence-based decisions on disease control. Improved disease control is essential for a sustainable food chain in Europe with increased animal health and welfare and that protects human health

    3D imaging cone beam computed tomography versus orthopantomogram to improve the oral health status of patients hospitalized for infective endocarditis (3D STARS): study protocol of a randomized superiority controlled trial

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    International audienceBackground: Infective endocarditis (IE) is a serious and costly infectious disease associated with high morbidity and mortality. The oral cavity is the second most common source of IE accounting for approximately 30% of cases. Detection and management of oral infectious foci (OIF) are therefore critical to reduce IE incidence, relapse or recurrence. Current guidelines recommend the systematic detection and elimination of OIF in IE patients through clinical oral examination and orthopantomogram (OPT). Despite these recommendations, the annual incidence of IE has remained stable. Cone Beam Computed Tomography (CBCT), offers significantly improved diagnostic accuracy over OPT for the detection of OIF. For this randomized clinical trial (RCT), we hypothesize that in IE patients, systematic evaluation using CBCT would identify more OIF than OPT, thereby improving oral health status and potentially reducing the risk of IE recurrence.Methods: This is a prospective, 2-parallel arms, superiority and individual-based RCT. The main objective is to compare the efficacy of two personalized management strategies on IE patient’s oral health status at 12 months regardless of the microorganism responsible for IE. We hypothesize that the experimental strategy based on clinical oral examination combined with CBCT is superior to the reference strategy based on clinical oral examination combined with OPT, performed at the time of IE. The primary endpoint is a “perfect” oral health status defined as a complete absence of OIF on CBCT performed in all patients combined with clinical examination at 12 months. 170 patients meeting the inclusion criteria will be enrolled. This number was calculated based on preliminary assumptions of the main criterion. Analyses will be conducted on data from the modified intention-to-treat population and the per-protocol population.Discussion: The data generated by this study may improve the therapeutic management of patients with IE and potentially decrease the rate of IE recurrence. This should enable cost/effectiveness studies to be conducted on the prevention of IE. In addition, the recommendations for good practice and the training of healthcare professionals involved in the management of patients with IE could be updated with data of high level of evidence.Trial registration: ClinicalTrials.gov (NCT06269679 on February 13td, 2024).Supplementary Information: The online version contains supplementary material available at 10.1186/s12903-025-06473-6

    ARTIFICIAL INTELLIGENCE (AI) TOOLS USED IN AQUACULTURE FACILITIES IN THE EUROPEAN UNION, WITH RESPECTIVE COUNTRIES

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    International audienceAquaculture has become a vital component of the European Union’s food production system, contributing significantly to the economy and food security. Due to the increased demand for fish, a quest for novel and efficient techniques in aquaculture production, systems to alleviate the burdens of fish disease management, environmental degradation, and high production costs have become imperative. The integration of Artificial Intelligence (AI) tools in aquaculture facilities across the European Union (EU) has emerged as a promising solution for rapidly transforming and enhancing productivity, sustainability, operational efficiency, and competitiveness. Prominent corporations and academic institutions have created innovative artificial intelligence (AI) solutions, including autonomous underwater vehicles (AUVs) for monitoring and maintenance in offshore environments, real-time behavioral monitoring systems for accurate feed dispensing, and AI-powered cameras for fish size and growth analysis. AI-enabled sensors, as demonstrated in EU-funded projects like ASTRAL, provide continuous, automated water quality monitoring, utilizing machine learning algorithms to detect anomalies and environmental risks, thereby promoting sustainable and high-quality production. Across the EU, AI tools are being integrated into aquaculture to address key operational challenges. Countries like Norway and France use smart cameras and feeding systems for biomass estimation and waste reduction, while Denmark and Italy apply AI for real-time water quality and disease monitoring. Spain, Greece, and the Netherlands leverage AI for health grading, production forecasting, and biofouling control, showcasing a shift toward precision and efficiency in aquaculture. Table 1 shows the AI tools currently used in aquaculture facilities across the European Union. By harnessing AI, EU aquaculture is transitioning toward data-driven, resilient, and eco-efficient production systems. These innovations reduce labor costs and environmental impact and improve productivity and animal welfare. The integration of AI in European aquaculture aligns with policy objectives such as the European Green Deal, and the Farm to Fork Strategy by providing a path to overcoming the economic, environmental, and social burdens that have long challenged the sector

    Impact of domestic refrigerator temperatures on food safety

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    International audienceAn analysis of the literature over the last 20years has enabled to establish a temperature profile for household refrigerators. The mean temperature of domestic refrigerators was estimated at 6.0°C (95% uncertainty interval 4.9–6.9°C) for the Northern countries, and at 6.9°C (95% uncertainty interval 5.5–8.3°C) for the Southern countries. The probability of having a temperature above 10°C was estimated to 4.6% (0.4–13.6%) and 11.5% (2.4–27.3%) in Northern and Southern countries, respectively. These temperature profiles were employed in case-studies establishing the use by dates of food products against Listeria monocytogenes. These studies were formulated to reflect current food safety legislation and normative documents. Some key learnings were derived from this exercise: if results of challenge-test studies and microbiological exposure assessment converge (e.g., both conclude that a given use-by-date is acceptable), that provides a robust set of arguments to food business operators. On the other hand, if the two come to different conclusions, it's worse being cautious and try to rely on further laboratory studies and/or simulations before launching the product.Keywords: Challenge-tests; Domestic refrigerator; Food safety; Listeria monocytogenes; QMRA; Risk assessment; Shelf-life; Storage temperature; Uncertainty; Variabilit

    Biofaçades de microalgues - Bâtiments et systèmes de culture durables

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    International audienceLes biofaçades de microalgues sont un exemple original d’intégration urbaine d’une bioproduction de biomasse végétale d’intérêt. Cet article détaille les enjeux de cette intégration, à la fois pour le bâtiment support et pour la culture de microalgues elle-même. Les principes généraux de conception sont présentés, ainsi que différents exemples de réalisation. Les principaux critères de performances et d’acceptabilité sociale sont ensuite résumés. Les perspectives d’innovation viennent conclure l’article, montrant l’intérêt de créer des symbioses thermiques et chimiques pour réduire les consommations énergétiques et l’impact environnemental des bâtiments et de la production de microalgues

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