Portail HAL de l'Université Picardie Jules Verne
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Reliability of Lower-Limb Strength Tests According to Maturity Status in Young Male Elite Football Players
No full textInternational audiencePurpose : Lower-limb strength assessment is essential for talent identification, training program design, and return-to-play decisions. However, the influence of biological maturity on test reliability remains unclear, particularly in prepubertal players whose motor coordination is still developing. This study examined the test–retest reliability of dominant-limb abduction, adduction, and anterior and posterior chain tests in elite youth football players, and compared reliability across maturity stages and movement types. Methods : Seventy academy players were divided into 3 groups: 24 prepubertal, 18 pubertal, and 28 postpubertal. Following at least 2 familiarization sessions, players performed 5 maximal isometric strength tests on 2 occasions 1 week apart. The coefficient of variation (CV) and intraclass correlation coefficient (ICC) were calculated for each test, and statistical comparisons between maturity groups were performed using the Modified Signed-Likelihood Ratio Test (for CVs) and Fisher Z transformation (for ICCs). Results : Most tests demonstrated good to excellent reliability across all maturity levels (CV < 10%, ICC > .90). However, postpubertal players exhibited significantly lower CVs and higher ICCs than prepubertal players in several tests, particularly for polyarticular standing posterior chain movements ( P < .05). No significant differences were observed between prepubertal and pubertal players. Conclusions : These results indicate that test reliability improves with biological maturity, likely due to enhanced motor coordination and movement control. Consequently, the reliability of lower-limb strength assessments is not interchangeable between maturity categories, and results should be interpreted with caution when used for talent identification or long-term player monitoring in elite youth football players
Des femmes à la guerre. Les suiveuses des armées françaises de l’Ancien Régime au Premier Empire
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MOPSO for dynamic feature selection problem based big data fusion
No full textInternational audienceBackground: Artificial intelligence (AI) is transforming medicine by supporting data-driven diagnosis, prognosis, and personalized care. In rheumatology, AI applications are rapidly expanding in imaging, disease monitoring, and therapeutic decision support. This review aimed to summarize current evidence on AI in osteoporosis and chronic inflammatory rheumatic diseases, with a focus on methodological robustness and clinical applicability. Methods: A narrative review was conducted following SANRA criteria. PubMed and the Cochrane Library were systematically searched for studies published between January 2015 and July 2025 using MeSH terms and free-text keywords related to AI, osteoporosis, and inflammatory rheumatic diseases. A total of 323 articles were included. Results: Machine learning and deep learning models show strong performance in osteoporosis for predicting bone mineral density (BMD), bone loss, and fractures. In chronic inflammatory rheumatic diseases, AI improves imaging interpretation, particularly for sacroiliitis. AI tools also demonstrate potential for predicting disease risk and activity, diagnostic support and treatment response. Hybrid models combining imaging, clinical, and biological data appear particularly promising. However, most studies rely on retrospective single-center datasets, with limited external validation, suboptimal explainability, and scarce evidence of real-world implementation. Conclusions: AI holds significant promise for advancing diagnosis and personalized management in osteoporosis and rheumatic diseases. However, major challenges persist, including heterogeneous data quality, inconsistent methodological reporting, limited clinical validation, and barriers to integration into routine practice. Bridging the gap between algorithmic performance and clinical impact will require prospective studies, robust validation frameworks, and strategies to build trust among clinicians and patients
Revisiting irreversible capacity in lignin-derived hard carbons for sodium-ion batteries: The dominant role of surface functional groups over surface area
No full textInternational audienceHard carbons are promising materials as anode for sodium-ion batteries due to their good reversible capacities and the huge diversity of bio-based precursors available for their synthesis. Nevertheless, their low initial coulombic efficiency (ICE), often below 80% for bio-based hard carbons, is one of the main challenges for their commercial applications. In this work, the surface of lignin-based hard carbons is modified with a thin layer of soft carbon obtained from petroleum pitch. Soft carbon is known to have rich sp2-hybridized domains, with very few heteroatoms, leading to a surface with less defects. After pyrolysis at different temperatures (900 °C to 1400 °C), hard carbon materials were coated using an impregnation coating method. Structural, textural and surface analyses were carried out to understand the impact of soft carbon coating on the electrochemical performance. The composite carbon initially pyrolyzed at 1200 °C exhibited the best performance, achieving a reversible capacity of 310 mAh.g−1, and an excellent initial coulombic efficiency of 89%. Notably, this ICE is among the highest reported for lignin-based hard carbons, which highlights the effectiveness of surface engineering in enhancing their electrochemical properties for sodium-ion batteries
Muscle Retracting Sign in Colorectal Macronodular Lesions: Prevalence, ESD Outcomes, and Submucosal Cancer Predictors
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Hartmann von Aue: Gregorius. Textgeschichtliche digitale Edition: Version 1.0.
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La stéatose hépatique d’origine métabolique : quand le foie tire la sonnette d’alarme
No full textInternational audienceLes hépatopathies stéatosiques liées à une dysfonction métabolique, désormais regroupées sous l’appellation metabolic dysfunction-associated liver disease (MASLD), constituent aujourd’hui la première cause de maladie hépatique dans le monde, avec une prévalence proche de 30 %. Longtemps silencieuses et asymptomatiques, elles sont le plus souvent diagnostiquées tardivement, à un stade déjà avancé, ce qui en fait un enjeu majeur de santé publique. Ces affections se caractérisent par une accumulation excessive de graisses dans le foie, principalement des triglycérides – d’où le terme de “foie gras”. Elles sont fréquemment la manifestation hépatique du syndrome métabolique et de l’insulino-résistance. Les facteurs de risque principaux sont le surpoids, l’obésité et le diabète de type 2, en lien avec des apports alimentaires inadaptés et trop abondants, largement supérieurs aux besoins énergétiques de l’organisme. En effet, l’excès de sucres, et en particulier de fructose ajouté dans les aliments industriels, joue un rôle majeur dans l’accumulation de graisses au niveau hépatique. Ces sucres consommés en excès sont transformés sous l’effet de l’insulino-résistance qui stimule la lipogenèse de novo intrahépatique, en triglycérides. Chez environ 25 % des patients atteints de MASLD, la maladie évolue vers une forme inflammatoire, désormais appelée metabolic dysfunction-associated steatohepatitis (MASH), remplaçant la dénomination antérieure non-alcoholic steatohepatitis (NASH). Cette inflammation favorise la progression vers la fibrose hépatique, laquelle peut évoluer vers la cirrhose, voire vers un carcinome hépatocellulaire. La mortalité associée à la progression de la MASH reste élevée et les principales causes de décès sont les complications cardiovasculaires et les cancers. Compte tenu de l’ampleur de ce problème de santé publique, de nombreuses recherches ont été menées ces dernières années sur la MASLD et la MASH. Ces travaux ont permis des avancées significatives dans la compréhension des mécanismes physiopathologiques et dans la prise en charge clinique et thérapeutique, avec notamment le développement de plusieurs traitements. Des outils biologiques innovants sont maintenant à disposition du laboratoire de biologie médicale pour un diagnostic plus précoce et une meilleure stratification du risque. Dans ce dossier scientifique de la RFL, nous vous proposons de faire le point sur ces hépatopathies stéatosiques et les récents progrès réalisés dans leurs prises en charge
Effects of deep brain stimulation on non motor fluctuations in Parkinson’s disease (assessed with the NMF severity scale)
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Multidimensional approach of theory of mind in healthy aging
No full textInternational audienceTheory of Mind (ToM), the ability to infer mental states, includes multiple dimensions: the nature of mental states (i.e. cognitive and affective), level of recursive reasoning, and decoding-reasoning processes. Because previous studies have used diverse methodologies and have often focused on only one dimension of ToM, it remains difficult to draw clear conclusions about potential age-related effects. The aim of this study was to jointly assess the different dimensions of ToM and error type in the attribution of mental states during normal aging with validated tests conventionally used in research and clinical practice. Fifty-four young adults (18–40 years, M = 25.4 years, SD = 6.91), 53 middle-aged adults (41–60 years, M = 50.4 years, SD = 4.95) and 56 older adults (61–82 years, M = 70.4 years, SD = 5.13) were recruited. The different ToM dimensions were assessed with TOM-15 (i.e. cognitive ToM and recursive reasoning level), Picture of Facial Affect Test (i.e. affective ToM and decoding), Faux-pas task (i.e. cognitive and affective ToM and decoding-reasoning level) and the Movie for the Assessment of Social Cognition (i.e. cognitive and affective ToM as well as the type of ToM error). The analysis showed a progressive age-related effect across all ToM dimensions, although the direction and magnitude of these effects varied depending on the contextual demands involved. These results align with our hypothesis, indicating that adults experience progressively greater difficulties in understanding and predicting others’ behaviors. A multidimensional ToM assessment could better inform interventions tailored to the cognitive and affective social needs of older people
