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Reimagining Urban River Bathing in Europe: A Multisectoral and Interdisciplinary Dive Into Lyon's Rivers (France)
No full textInternational audienceUrban river bathing is re‐emerging across Europe, driven by social demand and climate change impacts. The Urban Bathing Consortium, an interdisciplinary and intersectoral consortium initiated at the University of Lyon (France), is at the forefront of studying the challenges and opportunities of creating and managing healthy, safe, and accessible river bathing spaces. Through interdisciplinary collaboration among researchers and stakeholders, the consortium proposed an analytical framework, identifying seven critical dimensions for urban river bathing: the history and revival of city‐river relationships, legal and regulatory frameworks, bathing water quality, river drowning risks, river ecosystems, social perspectives, and urban planning. By examining these dimensions with state‐of‐the‐art approaches and drawing on Lyon's experiences, the study provides scientific insights and practical recommendations for future sustainable urban river bathing development. These include revitalizing historical city‐river connections, aligning local regulations with EU guidance, advancing holistic microbial water quality control, enhancing safety measures, incorporating ecological considerations, balancing competing river uses in urban planning, and addressing social needs for inclusive river governance
Bug dans plusieurs solveurs de programmation linéaire en nombres entiers
No full textNational audienceLa programmation linéaire en nombre entiers (PLNE) est de plus en plus utilisée au-delà de la communauté de Recherche Opérationnelle. Des chercheurs et chercheuses en conception matérielle ou en biologie se sont notamment emparé·e·s de ces outils pour leurs applications. Les solveurs de PLNE sont ainsi souvent utilisés comme des boîtes noires, sans connaissances particulières quant à leur fonctionnement interne ou de leurs nombreux paramètres.Avec cette présentation nous discutons des bugs potentiels que les utilisateurs et utilisatrices de solveurs peuvent rencontrer. Nous montrons avec l'exemple d'un modèle produit par CarveMe que certains bugs se produisent et peuvent passer inaperçus. Nous tentons ensuite d'en comprendre l'origine sans entrer dans le solveur et d'en éviter la survenue depuis l'étape de modélisation et paramétrage du solveur
Dire l'aidance dans le cas de la maladie d'Alzheimer : du dit, du suggéré à l’impensé,
No full textInternational audience« Je ne suis pas son aidante, je suis sa femme ». Malgré une visibilité grandissante de l’aidance dans l’espace public se dire « aidant » reste compliqué. Le mot véhicule des représentations sociales empreintes de valeurs contradictoires. Dans le contexte de la maladie d’Alzheimer, il s’inscrit en plus dans un impensé culturel : celui de vivre avec une maladie qui efface progressivement l’histoire sur laquelle s’est construit le lien affectif et pourtant d’accepter le rôle d’aidant en vertu de ce lien. Le choix d’aborder l’aidance par les discours, par une analyse des mots et formulations langagières, permet de comprendre comment ces discours (re)construisent une identité dans et à travers l’aidance. Nous identifions ainsi des pratiques plus ou moins opérationnelles, des savoirs progressivement construits, mais aussi des résistances – matérielles ou subjectives – auxquelles les aidants se heurtent pour assumer les tâches nécessaires, sans négliger les sources de satisfaction ou d’insatisfaction qu’ils trouvent dans la relation d’aide. L’ouvrage, inscrit en sciences du langage, apporte un point de vue complémentaire à celui des sciences humaines et sociales sur un maillon essentiel de la chaine de soin mais encore mal connu et reconnu
Area Efficient Speculative Loop Pipelining for High-Level Synthesis
No full textInternational audienceHigh-Level Synthesis (HLS) allows the automatic generation of efficient circuit designs for computation-intensive kernels, but it lacks flexibility when dealing with irregular control flow. Dynamic and speculative HLS techniques are used to address this issue. These techniques outperform state-of-the-art HLS in kernel execution times but introduce a significant area overhead. In contrast, state-of-the-art HLS easily highlights and exploits resource-sharing opportunities. In this work, we show how to adapt an existing speculative HLS approach to take advantage of well-known static resource sharing mechanisms. Our results show a decrease of the area cost by 34% on average
Etude de la valeur prédictive de la réserve cognitive et des traits de personnalité dans les différences interindividuelles de satisfaction de vie chez des personnes âgées.
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From policy to practice in cervical cancer prevention in Reunion Island
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KAN-SAs: Efficient Acceleration of Kolmogorov-Arnold Networks on Systolic Arrays
No full textInternational audienceKolmogorov-Arnold Networks (KANs) have garnered significant attention for their promise of improved parameter efficiency and explainability compared to traditional Deep Neural Networks (DNNs). KANs' key innovation lies in the use of learnable non-linear activation functions, which are parametrized as splines. Splines are expressed as a linear combination of basis functions (B-splines). B-splines prove particularly challenging to accelerate due to their recursive definition. Systolic Array (SA)based architectures have shown great promise as DNN accelerators thanks to their energy efficiency and low latency. However, their suitability and efficiency in accelerating KANs have never been assessed. Thus, in this work, we explore the use of SA architecture to accelerate the KAN inference. We show that, while SAs can be used to accelerate part of the KAN inference, their utilization can be reduced to 30%. Hence, we propose KAN-SAs, a novel SA-based accelerator that leverages intrinsic properties of B-splines to enable efficient KAN inference. By including a nonrecursive B-spline implementation and leveraging the intrinsic KAN sparsity, KAN-SAs enhances conventional SAs, enabling efficient KAN inference, in addition to conventional DNNs. KAN-SAs achieves up to 100% SA utilization and up to 50% clock cycles reduction compared to conventional SAs of equivalent area, as shown by hardware synthesis results on a 28nm FD-SOI technology. We also evaluate different configurations of the accelerator on various KAN applications, confirming the improved efficiency of KAN inference provided by KAN-SAs
The Role of Ritual and Craft Production in Social Interaction and Elite Empowerment in a Mixed Centre during the South Italian Iron Age
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Neurological and psychiatric issues in 187 adults with early-treated PKU: The ECOPHEN study
No full textInternational audienceIntroduction: Phenylketonuria (PKU) is an autosomal recessive disorder caused by mutations in the PAH gene leading to phenylalanine hydroxylase deficiency. This results in the accumulation of phenylalanine (Phe) in blood and brain, causing neurological and psychiatric impairments if untreated. Newborn screening (NBS) introduced in the 1960s enables early PKU diagnosis, allowing prompt dietary or sapropterin treatment. The long-term outcomes in adults with early-treated PKU, however, may include subtle neurocognitive deficits alongside somatic neurological and psychiatric complications, which remain incompletely characterized. Patients and methods: The ECOPHEN study was a French 5-year multicenter prospective cohort assessing neuropsychiatric disorders in adults with early-treated PKU. Results: Here are presented the data at inclusion. The study recruited 187 patients who were classified by PKU severity-classic, mild, or mild persistent hyperphenylalaninemia-and diet adherence status. Neurological history revealed symptoms in 11.2 % of patients, exclusively in classic PKU, including tremor, migraines, and balance disorders, without significant differences between diet groups. Neurological examination abnormalities predominantly included abnormal deep tendon reflexes in classic PKU patients. Psychiatric issues affected 25.7 % of patients across severity groups, mainly depressive episodes and anxiety, with no clear influence of diet adherence. Discussion/conclusion: The present study highlights neurological complications persisting despite early treatment, particularly in classic PKU. Diet adherence and current plasma Phe levels did not correlate significantly with neurological or psychiatric outcomes, possibly due to suboptimal metabolic control. Limitations included the cross-sectional design, absence of control group, and retrospective data collection. Overall, adults with early-treated PKU show a generally favorable outcome but remain at risk for neuropsychiatric manifestations, supporting the need for lifelong follow-up including neurologic and psychiatric evaluation