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    Conservacionismo, protesta ambiental y emergencia del ecologismo político en España, del Franquismo a la Democracia (Galicia, Aragón y Andalucía)

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    International audienceThe aim of this article is to provide an approach to the history of environmentalism and to bring new perspectives to the study of Francoism and the Spanish transition by analyzing environmental conflicts on a regional scale. In response to the industrial, energy and urban planning policies of the regime, the main environmental conflicts of the period between 1960 and 1986 have proved to be a perfect historical laboratory for understanding in all their complexity the profound social and political transformations of the period. The methodology employed consists of consulting municipal, regional and national archives, press analyses and subsequently comparing our case studies (Galicia, Aragon and Andalusia). Through in-depth case studies of Aragon, Galicia and Andalusia, we observe the path from popular protest against environmental injustice to the subsequent formalization of an environmentalist political ideology in the 1980s. The article aims to highlight the links between popular environmentalism, social memory and processes of politicisation of the territory during the late Franco era and the TransitionEl objetivo de este artículo es dar un enfoque a la historia del ecologismo y aportar nuevas perspectivas al estudio del franquismo y la transición española, analizando los conflictos ambientales a escala regional. En respuesta a las políticas industriales, energéticas y urbanísticas del régimen, los principales conflictos ambientales del periodo compren-dido entre 1960 y 1986 se han revelado como un laboratorio histórico ideal para comprender en toda su complejidad las profundas transformaciones sociales y políticas del periodo. La metodología empleada consiste en la consulta de archivosmunicipales, regionales y nacionales, análisis de prensa y una posterior comparación en nuestros casos de estudio (Galicia, Aragón y Andalucía). A través de los estudios en profundidad de estos casos de Aragón, Galicia y Andalucía, analizamos el camino desde la protesta popular contra la injusticia ambiental hasta la posterior formalización de una ideología política ecologista en los años ochenta. El artículo pretende poner de relieve los vínculos entre ecologismo popular, memoria social y procesos de politización del territorio durante el tardofranquismo y la Transición

    Mid- and far-infrared spectral signatures of mineral dust from low- to high-latitude regions: significance and implications

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    International audienceMineral dust absorbs and scatters solar and infrared radiation, thereby affecting the radiance spectrum at the surface and top-of-atmosphere and the atmospheric heating rate. While half of the outgoing thermal radiation is emitted in the far infrared (FIR, 15-100 µm), knowledge of the optical properties and thermal radiative effects of dust is currently limited to the mid-infrared region (MIR, 3-15 µm). In this study we performed pellet spectroscopy measurements to evaluate the MIR and FIR contribution to dust absorbance and explore the variability and spectral diversity of the dust signature within the 2.5-25 µm range. Thirteen dust samples re-suspended from parent soils with contrasting mineralogy were investigated, including low and mid latitude dust (LMLD) sources in Africa, America, Asia, and Middle East, and high latitude dust (HLD) from Iceland.</div

    Electrostatic force regularization for neural structured pruning

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    International audienceThe demand for deploying deep convolutional neural networks (DCNNs) on resource-constrained devices for real-time applications remains substantial. However, existing state-of-the-art structured pruning methods often involve intricate implementations, require modifications to the original network architectures, and necessitate an extensive fine-tuning phase. To address these challenges, we introduce a novel approach that integrates the concept of electrostatic force from physics into the training process of DCNNs. The magnitude of this force is directly proportional to the product of the charges of the convolution filter and the source filter, and inversely proportional to the square of the distance between them. We applied the electrostatic-like force to the convolution filters, attracting those with opposite charges toward non-zero weights and repelling similar ones toward zero. Consequently, repelled filters are pruned as their weights approach zero, while attracted filters retain significant parameters that preserve essential information. Unlike conventional methods, our approach is straightforward to implement, does not require any architectural modifications, and simultaneously optimizes weights and ranks filter importance, all without the need for extensive fine-tuning. We validated the efficacy of our method on modern DCNN architectures using the MNIST, CIFAR, and ImageNet datasets, achieving competitive performance compared to existing structured pruning approaches

    Linear Realisability and Implicative Algebras

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    Realizability, introduced by Kleene, can be understood as a con-cretization of the Brouwer-Heyting-Kolmogorov (BHK) interpre-tation of proofs, providing a framework to interpret mathematicalstatements and proofs in terms of their constructive or computa-tional content. Over time, this concept has evolved through variousextensions, such as Kreisel’s modified realizability or Krivine’s clas-sical realizability. Parallel to these developments, Girard’s workon linear logic introduced another perspective, often seen as an-other concrete realization of the BHK interpretation. The resultingconstructions, encompassing models like geometry of interaction,ludics, and interaction graphs, were recently unified under the termlinear realizability models to stress the intuitive connection withintuitionnistic and classical realizability.The present work establishes for the first time a formal link be-tween linear realizability models and the realizability constructionsof Kleene and Krivine. Our approach leverages Miquel’s framework:just as linear logic can be viewed as a decomposition of intuitionisticand classical logic, we propose a linear decomposition of implicativealgebras and show that linear realisability models provide concreteexamples of such decompositions

    Does substrate diversity affect microbial heat dissipation in soil?

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    International audienceMost studies exploring the relation between the quality of organic substrates and microbial activity have been carried out with individual substrates. However, they have largely overlooked potential effects that might occur when microorganisms simultaneously process a heterogeneous mixture of organic substances. We investigated whether the degree of molecular richness of substrate mixtures had an impact on the overall activity of microbial communities, measured as heat dissipation over a day, in a laboratory incubation experiment. Topsoil samples were taken from a Swedish long-term field trial, established in 1983, in which a crop rotation dominated by spring cereals was either under-sown with perennial ryegrass as a cover crop or was without cover crops. No significant differences in the cumulative heat dissipation between soil with or without cover crops were observed. When all substrate mixtures were evaluated, the substrate richness was not significantly correlated with the overall microbial activity. However, we observed a bell-shaped curve between the total microbial activity and the nominal oxidation state of carbon (C) in the substrate mixtures. In most cases, the measured heat dissipated from soils that received substrate mixtures was significantly higher than the theoretically expected heat dissipation. The latter was based on the weighted sum of heat dissipated of individual substrates. This pattern was more visible in soil without cover crops than in soil with cover crops. The higher-than-expected heat dissipation from substrate mixtures suggests that the response of soil microbial communities to diverse substrates is not simply additive. There are several possible explanations for the observations made: (i) interactions among microbial metabolic pathways, (ii) added substrates may be preferentially used, and (iii) concentration of all the substrates in the mixtures was lower than when added individually, and therefore the metabolic pathways for each substrate was less likely to be saturated. Chemodiversity, the diversity of organic chemical compounds, is often not considered in models evaluating the dynamics of soil organic matter. Our results warrant further investigations into microbial metabolism and the processing of heterogeneous organic substances in order to constrain microbial-and substrate-specific models of soil organic matter

    Comparison of high resolution XRF and downhole geophysical scanning of Nussloch loess records, Germany, with field observations

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    International audienceNussloch (Germany) is a distinctive site of interest, particularly as a reference sequence for Late Pleistocene European loess, because it provides a comprehensive record of millennial climate variability. A notable feature of this site is its location within an active quarry. Consequently, the stratigraphic profiles documented constitute an ephemeral record, susceptible to rapid disappearance or brief accessibility, contingent on the operational status of the quarry. In order to guarantee the maintenance of a complete record of the sequence, three separate cores were collected and labelled S1, S2, and S3. The results of core S2, which is the most complete and thoroughly examined, are presented here. A comparison is drawn with the most recent P8 profile that is currently available. XRF measurements, conducted after the cores had been opened and described, are also presented. Borehole logging was carried out in the field after core retrieval, and the resulting measurements are also presented. The findings of this study demonstrate that a high degree of correlation can be established between the records from outcrop investigations and core studies, demonstrating the importance of preserving such archives for future research

    Development of a Prognostic Model for Poststroke Dementia Using Multiple International Cohorts

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    International audienceBackground and objectives: Dementia risk prediction models developed for the general population perform poorly in stroke cohorts. Existing stroke-specific models are few and limited by short prediction horizons or reliance on neuroimaging. The aim of this study was to develop a clinically practical model for predicting 5-year dementia risk after stroke using commonly available variables and individual participant data from the Stroke and Cognition Consortium (STROKOG).Methods: Data were pooled from 12 studies across 10 countries. Dementia was diagnosed mainly by expert panel consensus and algorithmic classification. Fine-Gray subdistribution hazard models estimated dementia probability, accounting for death as a competing event. Candidate predictors included routinely collected baseline clinical and stroke-related variables, selected through backward stepwise elimination. Model performance was evaluated using discrimination (C-index) and calibration for prediction up to 5 years after stroke. Internal-external cross-validation (IECV) assessed generalizability across studies, regions, and study periods.Results: A total of 2,663 participants (mean age 67.0 years [SD 11.1]; 40% female) were followed for a median of 2.0 years (IQR 1.0-5.0), during which 655 developed dementia (8.7 per 100 person-years). The final model included age, sex, education, history of previous stroke, diabetes, stroke severity, 2 interactions (age × sex; age × stroke severity), and study-level variables including national current health expenditure. An Excel-based risk calculator is available in the Supplement (eAppendix 1). The model demonstrated strong discrimination (C-index: 0.81; 95% CI 0.75-0.87) and excellent calibration in the full data set used for development. In IECV, discrimination was acceptable across individual studies (pooled C-index: 0.70 [0.67-0.73]) and higher in recent (post-2010; 0.79 [0.76-0.82]) and European (0.74 [0.71-0.78]) cohorts. Risks were slightly overestimated in Asian cohorts. Case numbers were too small for reliable assessment in other regions.Discussion: We developed and internally-externally validated a 5-year dementia risk model for stroke survivors using routinely available clinical variables. The model showed strong performance in the full development data set and generalized well to recent and European cohorts, although external validation in diverse populations is needed. This tool can help identify high-risk individuals for targeted cognitive monitoring and follow-up. By informing clinical decision making and resource planning, it offers a practical means to improve long-term outcomes

    Hommage à Janine Bouscaren. Linguiste, enseignante, écrivaine

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    International audienceCe volume rend hommage à Janine Bouscaren, disparue en 2023, qui a formé et inspiré de nombreux linguistes anglicistes et a contribué à la diffusion de la Théorie des opérations prédicatives et énonciatives d’Antoine Culioli. Ont participé à cet ouvrage d’anciens étudiants et collègues influencés par ses enseignements et sa recherche. Ils ont souhaité refléter la multiplicité de ses intérêts et de ses talents, et mettre en relief la filiation avec ses travaux, tout en évoquant des aspects de sa biographie, comme universitaire et comme écrivaine, qui faisaient de JanineBouscaren une personnalité hors du commun.Une première partie du volume retrace sa carrière, à travers des entretiens avec Janine elle-même et différents témoignages de plusieurs générations de collègues. Les articles de la seconde partie s’inscrivent dans le sillage de ses enseignements et de sa recherche, et en illustrent différentes facettes

    Clinical Phenotypes of Critically Ill Patients with COVID-19 Infected with Omicron: A Nationwide Prospective Cohort Study

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    International audienceINTRODUCTION: The clinical presentation of critically ill patients with coronavirus disease 2019 (COVID-19) has evolved significantly with the emergence of the Omicron variant. Current intensive care unit (ICU) admissions involve patients with diverse comorbidities and immune statuses, highlighting the need to redefine homogeneous phenotypic subgroups within this population. This study aimed to characterize distinct clinical phenotypes among critically ill patients with COVID-19 and acute respiratory failure. METHODS: This multicenter prospective substudy of the SEVARVIR cohort included adult patients from 39 French ICUs between December 2021 and October 2024 with acute respiratory failure and infected with the Omicron variant. Clustering analysis was conducted using Kohonen’s self-organizing maps (SOMs) and validated with ClinTrajan, two unsupervised clustering methods, to identify homogeneous patient phenotypes. RESULTS: During the study period, 777 patients with Omicron infection were included, and 7 distinct clinical clusters were identified. Clusters 1 and 2 included patients with metabolic and cardiovascular comorbidities. Cluster 3 featured younger, mildly ill patients with isolated chronic respiratory failure, while cluster 4 comprised older male patients with isolated respiratory failure. Cluster 5 included patients with isolated hematologic malignancies, cluster 6 patients with multiorgan failure, and cluster 7 organ transplant recipients, with high severity scores and impaired renal function. ICU management varied substantially across clusters. Patients in clusters 5 and 7 had the highest requirements for organ support, with frequent use of invasive mechanical ventilation, vasopressors (cluster 6), and renal replacement therapy (cluster 7). Dexamethasone and tocilizumab were most commonly prescribed in cluster 4 (91.3% and 30.2%, respectively). Mortality at day 28 varied significantly across clusters, ranging from 13.1% in cluster 3 to 41.1% in cluster 6. CONCLUSIONS: This clustering analysis highlights, for the first time, the clinical heterogeneity of critically ill patients infected with Omicron, identifying seven distinct clusters with varying clinical presentations, management strategies and outcomes. These findings underscore the relevance of a phenotype-driven approach to support personalized treatment strategies and guide future clinical trials. TRIAL REGISTRATION: Clinicaltrials.gov, NCT05162508. A Graphical Abstract is available for this article

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