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From childhood trauma to body distortion in schizophrenia: The mediating role of early maladaptive schemas
International audienc
Coupler les données satellitaires aux données de terrain pour comprendre les dynamiques des socio-hydrosystèmes à différents niveaux d'organisation
Note scientifique du PEPR OneWate
LUNG CARCINOIDS (Lung Neuroendocrine Tumors)
International audienceAbstract This narrative review written by experts aims to provide a comprehensive synthesis of current knowledge and guidelines on lung carcinoids, emphasizing the multidimensional approach required for effective diagnosis and management. The manuscript will: i) Define and classify lung carcinoids in accordance with the latest WHO classification system, and emphasize the importance of molecular markers for precise subtyping; ii) Analyze epidemiological trends, discuss prevalence, incidence, and mortality rates, alongside key risk factors including genetic predispositions (MEN1) and precursor lesions such as diffuse idiopathic pulmonary neuroendocrine cell hyperplasia (DIPNECH); iii) Investigate the etiology and carcinogenesis of lung carcinoids, including insights into the molecular hallmarks and pathways that underlie tumor development and progression; iv) Detail clinical presentations, distinguishing pulmonary symptoms from secretory syndromes (carcinoid syndrome and Cushing’s syndrome), supported by visual aids to elucidate symptom prevalence and implications; v) Present an integrated diagnostic approach, encompassing state-of-the-art imaging modalities (CT, MRI, 68Ga-SSA-PET-CT) and advanced molecular pathology techniques; vi) Outline evidence-based treatment strategies, addressing early-stage interventions, systemic therapies, locoregional therapies, and emerging modalities such as immunotherapy and agnostic approaches; vii) Explore the role of multidisciplinary management, highlighting the critical importance of tumor boards dedicated to lung carcinoids and provide a checklist of key items for comprehensive case discussion and decision-making; viii) Conclude with future perspectives, identifying gaps in current knowledge and suggest directions for research to enhance diagnosis, treatment, and overall patient quality of life
From emerging LEO satellite constellations to the space cloud: Emulation platforms and orchestration methods
International audienceIn the rapidly advancing field of satellite communications, mega-constellations of Low Earth Orbit (LEO) satellites are gaining significant attention from the academic and industrial sectors. Managing these expanding constellations has become increasingly complex, and integrating them with classical cellular networks presents new automation challenges. We envision a Space Cloud in which Multiaccess Edge Computing (MEC) services are deployed within cross-liked space networks to address emerging Non-Terrestrial Networks (NTNs) latency demands. Integrating computation services in orbit will be instrumental in unlocking a Space Cloud that reduces the need to route computation requests to the Internet backbone. This study's first contribution is MeteorNet, an open-source constellation and edge computing emulation platform aimed at assessing the expected performance of future Space Clouds. MeteorNet realistically replicates the behavior of edge computing in a synthetic satellite constellation network hosting onboard containerized servers. The second contribution comprises two innovative edge orchestration strategies based on fuzzy logic and reinforcement learning. These strategies leverage historical data on task loads and processing failures to control the activation of on-orbit edge servers, ensuring efficient resource utilization. A Pareto-efficient analysis of multiple Key Performance Indicators (KPIs) using MeteorNet proves the approach's feasibility in space missions with energy constraints and limited computation resources
Differing responses of functional and taxonomic waterbird diversity to vegetation height and water level variation in a coastal wetland
International audienceThe conservation of wetland biodiversity is a major global issue. In anthropogenic landscapes, it requires the identification of environmental conditions and management practices that sustainably maintain the diversity of the communities. We carried out a six-year survey over 18 sites (78 ha) in the Marais Breton, lowland grazing marshes on the western coast of Europe in France. We tested the influence of the spatio-temporal dynamic of vegetation heights, water depth and the proportion of flooded areas on the taxonomic and functional diversity of wading birds and ducks at the site scale. Taxonomic diversity was enhanced by higher spatial heterogeneity of water level and reduced by higher spatial heterogeneity of vegetation height. In sharp contrast, functional diversity was not influenced by spatial heterogeneity of water level and increased with spatial heterogeneity of vegetation height. Additionally, the effect of the spatio-temporal heterogeneity of water level and vegetation height was guild-dependent. Based on our results we encourage a management at the landscape scale integrating multiple land ownerships to promote a taxonomic and functional diversity rather than at the site scale only
Life Cycle Impacts of electrified vehicles considering use behavior and battery aging
International audienceThis study assesses in depth the environmental impacts of electrified vehicles considering Plug-in Hybrid Electric Vehicles (PHEVs) as the most complex case, emphasizing the role of driving behavior, charging habits, and battery aging. By modeling realistic daily and annual mileage patterns, the study captures the variability in PHEV use and its significant effect on emissions. A comprehensive Life Cycle Assessment compares PHEVs, Battery Electric Vehicles, Hybrid Electric Vehicles, and Conventional Vehicles, using electricity mixes from France and Germany. The results show that electrifying vehicles allows consistent reductions for certain impact categories, as Global Warning Potential. However, it is strongly dependent on the electricity mix and electrified vehicles present higher values for certain other impact categories. The last part studies the influence of increasing battery size related to battery aging. Larger batteries may slightly extend vehicle lifespan, but their added production impacts often outweigh environmental gains.</div
Machine-learning techniques for model-independent searches in dijet final states
International audienceAnomaly detection methods used in a recent search for new phenomena by CMS at the CERN LHC are presented. The methods use machine learning to detect anomalous jets produced in the decay of new massive particles. The effectiveness of these approaches in enhancing sensitivity to various signals is studied and compared using data collected in proton-proton collisions at a center-of-mass energy of 13 TeV. In an example analysis, the capabilities of anomaly detection methods are further demonstrated by identifying large-radius jets consistent with Lorentz-boosted hadronically decaying top quarks in a model-agnostic framework
Preoperative flexion contracture does not impair outcomes or early revision rates following robotic total knee arthroplasty with functional alignment
International audienceAbstract Purpose Preoperative flexion contracture remains a challenging deformity in total knee arthroplasty (TKA). This study aimed to evaluate whether the presence of preoperative flexion contracture influences outcomes and early revision rates following robotic‐assisted TKA performed with functional alignment (FA) principles. Methods This retrospective comparative study analysed 190 patients who underwent robotic‐assisted TKA using a computed tomography‐based FA strategy. Patients were grouped based on intraoperative measurement of flexion contracture: ≥10° (study group; 43 patients) and <10° (control group; 147 patients). Clinical outcomes, intraoperative data, and early revision rates were assessed at a minimum 24‐month follow‐up. Results The study group exhibited significantly more varus alignment intraoperatively and required greater lateral tibial and posterior medial femoral resections. Preoperative knee flexion was lower in the contracture group (110° vs. 120°, p = 0.0018), and postoperative flexion remained slightly reduced (120° vs. 130°, p = 0.05). Flexion contracture at follow‐up was 1° in the study group versus 0° in controls ( p = 0.04). However, no significant differences were observed in Knee Society Scores, Forgotten Joint Score, Kujala score, or early revision rates. All‐cause revision rates were similar (97.67% vs. 98.64%, p = 0.66), with a hazard ratio of 1.85 (95% CI: 0.12–27.72). Aseptic survivorship was 100% in the contracture group versus 99.32% in controls ( p = 0.59). Conclusion Patients with preoperative flexion contracture ≥ 10° achieved comparable mid‐term outcomes and early survivorship to those without contracture following robotic‐assisted TKA using FA. These findings support FA as a reliable strategy to manage complex deformities without the need for soft tissue releases. Level of Evidence Level III
SV-GaSRelight: Single-View Gaussian Splatting for 3D Human Relighting
International audienc
On the space of subgroups of Baumslag-Solitar groups II : High transitivity
A continuation of "On the space of subgroups of Baumslag-Solitar groups I: perfect kernel and phenotype", by Alessandro Carderi, Damien Gaboriau, François Le Maîitre, Yves Stalder (hal-03829832). 44 pages, 1 figureInternational audienceWe continue our study of the perfect kernel of the space of transitive actions of Baumslag-Solitar groups by investigating high transitivity. We show that actions of finite phenotype are never highly transitive, except when the phenotype is 1, in which case high transitivity is actually generic. In infinite phenotype, high transitivity is generic, except when |m|=|n| where it is empty. We also reinforce the dynamical properties of the action by conjugation on the perfect kernel that we had established in our first paper, replacing topological transitivity by high topological transitivity