HAL: Hyper Article en Ligne
Not a member yet
3159010 research outputs found
Sort by
Coordination of cellular responses to SARS-CoV-2 during severe COVID-19 illness
No full textInternational audienc
Fractal Analysis of Otolith Contours and Shape for Species Discrimination
No full textInternational audienceOtolith morphology serves as a powerful tool for species discrimination and ecological studies, yet traditional morphometric approaches often overlook functionally significant contour complexity. Here, we apply fractal geometry to analyse 184 sagittal otoliths from five ecologically diverse marine fishes (Merluccius merluccius, Phycis blennoides, Gadus morhua, Lophius piscatorius, and Trachinus araneus) collected from NW Atlantic and Mediterranean waters. Using the Guida et al. (2020) method, we quantified three morphological descriptors: fractal dimension (Df, roughness), circularity (M), and angularity (m). Our results revealed distinct species-specific morpho-spaces, with demersal M. merluccius exhibiting the highest contour complexity (Df = 1.06 ± 0.03) and elongation (M = 0.64 ± 0.03), while other species showed smoother, more circular otoliths. The strong negative Df-M correlation reflects an evolutionary trade-off between sensory adaptation and hydrodynamic efficiency. These findings establish fractal otolith analysis as both an effective taxonomic tool and a window into ecological specialization, with direct applications for fisheries management, paleo-ecological reconstructions, and climate change monitoring in marine ecosystems
A new organic-inorganic hybrid compound [C6H9N2]2[CuBr4]: Crystal structure, Hirshfeld surface analysis, DFT calculations, optical and electrical investigations
No full textInternational audienc
Addressing phosphate removal issues during peritoneal dialysis using colloidally stable iron oxide nanoclusters coated with tannic acid
No full textInternational audienceRemoval of chronic excess phosphates in blood is critical for patients suffering from end-stage renal disease (ESRD). ESRD patients can be treated with peritoneal dialysis (PD), during which phosphates are transported from the blood to a specific solution, named dialysate, introduced into their peritoneal cavity. However, phosphate removal in PD is currently insufficient but could be improved by introducing in dialysate phosphate adsorbents. Iron oxide nanoparticles are biocompatible and well-known effective phosphate adsorbents, but their colloidal stability at physiological pH and adsorption capacity in high ionic strength aqueous media such as dialysate are significant challenges. Here, we have evaluated the potential of tannic acid-coated iron oxide raspberry-shaped nanoclusters (RSNs@TA) for improving phosphate adsorption in dialysate. We have investigated the influence of the TA coating on phosphate adsorption by performing adsorption experiments with uncoated and TA-coated RSNs. In parallel, we have studied the influence of electrolytes and compounds in dialysate on phosphate adsorption by conducting experiments in pH 7 water and dialysate. The TA coating was shown to provide a high colloidal stability to the nanoclusters and mitigates the inhibitory effect of electrolytes in dialysate on phosphate adsorption. Indeed, electrolytes in dialysate decreased the phosphate adsorption on both nanoclusters but especially on uncoated ones by disturbing phosphate outer-sphere complexes. Thus, RSNs@TA demonstrated enhanced adsorption capacity compared to uncoated RSNs in dialysate (20.7 ± 6.4 mg P.g -1 ) and in pH 7 water (26.4 ± 8.1 mg P.g -1 ). These results established RSNs@TA as promising adsorbents for phosphate removal in dialysate during a PD process
Challenges of operating multiple distributed generators with different primary control strategies in microgrids: Interactions and performance assessment
No full textInternational audienceThis study investigates the effectiveness of hybrid power-sharing control strategies in microgrid systems. It integrates various droop controllers, including conventional droop, universal droop, dVOC, and VSG. The contribution of each controller is evaluated in terms of system stability, efficiency, and adaptability. These assessments consider how different test conditions influence overall system performance. The performance analysis focuses on power sharing during both transient and steady-state conditions. It accounts for DERs connected through complex transmission line impedances and subjected to variable local loads. The study concludes with extensive real-time simulations using the Typhoon HIL 604 platform. These scenarios test different operating conditions to identify the most stable microgrid configuration
Critical material and regional inequality: Material demand under diverging decarbonization pathways in China’s power sector
No full textInternational audienceChina's power sector decarbonization is crucial for global climate goals. However, regional disparities in decarbonization pathways and material demands arise due to differences in resource endowment, economic development, and policy support. This study develops an integrated assessment model to evaluate critical material demand for decarbonizing China's power sector under four scenarios: Business-as-Usual (BAU), Renewable Energy (RE), Carbon Capture and Storage (CCS), and Advanced Nuclear (AN). The results show significant provincial variations, with eastern provinces favoring wind and solar, while western and coal-dependent regions rely on hydropower or CCS. Nationally, material demand peaks in the CCS scenario by 2060, especially for structural materials like copper (2250 Mt) and nickel (445 Mt). Functional materials such as silicon and indium see significant demand increases under PV-driven transitions, with silicon reaching 9300 kt and indium 14.2 Mt by 2060 in the RE scenario. These findings highlight the need for region-specific policies, long-term material supply planning, and addressing material demand imbalances for a sustainable energy transition
Explicit formulas for Grassmannian polylogarithms in weights 4 and 5
No full textInternational audienceWe explicitly reduce the Grassmannian polylogarithm in weight 4 and in weight 5 each to depth 2 iterated integrals. Furthermore, using this reduction in weight 4 we obtain an explicit, albeit complicated, form of the so-called 4-ratio, which gives an expression for the Borel class in continuous cohomology of in terms of
Conserving and regenerating the High Atlas cultural landscapes: gendered perspectives from the local Amazigh communities
No full textInternational audienceLocal communities play a vital role in conserving biocultural diversity; yet their priorities are seldom considered when designing sustainable measures and actions, particularly in remote areas. These processes are frequently developed from urban perspectives, focusing on regional or national scales, and local social dynamics are often overlooked. In this paper, we explore community-based conservation recommendations to develop a strategy for the cultural landscapes of the High Atlas, integrating insights from both local Amazigh voices and academic perspectives. We conducted focus groups with three representative communities in the High Atlas, involving 92 participants. We first documented the environmental changes that both women and men perceived separately. Next, community members provided recommendations for biocultural diversity conservation, which were further discussed among all participants. The participants' perceived changes and the proposed recommendations varied significantly between villages, even over short distances. These variations emerged from each village's primary livelihood and the types of ecosystems on which they depend. Both men and women noted numerous changes in agriculture, pastoralism, and the economy, and suggested actions to address the negative impacts. Women highlighted positive developments in medicinal practices; however, they also pointed out infrastructural deficiencies that hinder human well-being. These discussions served as the grounds for preparing community action plans that guided biocultural conservation action with these populations. Grounding rural development planning, programming, and monitoring in gendered local perceptions and aspirations is crucial for the resilience and adaptation of these landscapes, the people and other non-human living beings inhabiting them
Foundation models and Transformers for anomaly detection: A survey
No full textInternational audienceIn line with the development of deep learning, this survey examines the transformative role of Transformers and foundation models in advancing visual anomaly detection (VAD). We explore how these architectures, with their global receptive fields and adaptability, address challenges such as long-range dependency modeling, contextual modeling and data scarcity. The survey categorizes VAD methods into reconstruction-based, feature-based and zero/few-shot approaches, highlighting the paradigm shift brought about by foundation models. By integrating attention mechanisms and leveraging large-scale pre-training, Transformers and foundation models enable more robust, interpretable, and scalable anomaly detection solutions. This work provides a comprehensive review of state-of-the-art techniques, their strengths, limitations, and emerging trends in leveraging these architectures for VAD.</div