Portail HAL de l'Université Picardie Jules Verne
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Artificial intelligence-based group decision making to improve knowledge transfer: the case of distance learning in higher education
No full textFNEGE 4, ABS 1International audienceIn this paper, we propose a method based on multicriteria classification and a dominancebased rough set approach (DRSA) to support teachers in decision making. The objective is to use teachers’ knowledge and preferences to identify ‘atrisk students’, i.e. students who are likely to drop out, and ‘leader students’, i.e. students who are likely to help their peers, in distance learning. The proposed method is composed of two phases: phase I builds collective decision rules from teachers’ preferences, and phase II classifies students into two decision classes: ‘atrisk students’ and ‘leader students’. This method was designed, tested, and validated in higher education, with teachers who have acquired rich experience in teaching in online-synchronous mode since the Covid-19 pandemic
Human-Centered Industrial Transition: A Human-Technology-Organization Acceptance Model for Industry 5.0 — Conceptual Framework and Research Protocol
No full textInternational audienceDuring this era of transition from Industry 4.0 to 5.0, technological success depends not only on innovation but increasingly on the ability of workers to appropriate and adapt to industrial transformations. As Industry 5.0 places humans at the center of production systems, it becomes crucial to move beyond traditional approaches—namely individual-level acceptance models (TAM/TAM3, UTAUT) and technology-driven Industry 4.0 roadmaps (automation, IoT, AI)—to fully capture the cognitive, organizational, and emotional dimensions of human–machine interaction. In this perspective, we propose an integrative theoretical model that combines insights from cognitive ergonomics, technological stress management, and the appropriation dynamics of digital tools. This model aims to identify the concrete levers driving acceptance, or conversely, resistance, in highly automated industrial environments. Our refection is grounded in an in-depth field immersion within a tire manufacturing plant undergoing a major modernization phase, where human-machine interfaces, cognitive workload, organizational adaptation, and employee well-being emerge as key factors. This empirical context illustrates how technological changes, often framed as purely technical improvements, must be reconsidered as profound human challenges. By reframing technological acceptance not as a simple adoption of new tools but as a reconstruction of work relations and practices, this theoretical framework seeks to contribute to a more sustainable, human-centered industrial transition, capable of creating durable value. The remainder of the paper is structured as follows. Section 2 reviews the state of the art on industrial modernization and technology acceptance, motivates the research question, and maps the three dimensions introduced in Fig. 1. Section 3 presents the proposed methodological framework and develops the Human–Technology–Organization (H-T-O) Acceptance Model, detailing its constructs and mediating mechanisms (Fig. 3), together with the mixed-methods design for its future empirical validation (Fig. 2) and the measurement instruments used (Fig. 4). Section 4 concludes by summarizing contributions, limitations, and outlining next steps toward multi-site validation and practical recommendations
Data-Driven Technologies For Enhancing Sustainability Performance In Digital Circular Supply Chain
No full textInternational audiencen the context of sustainable development and Industry 4.0, digital and data-driven technologies are reshaping the architecture of circular supply chains. This paper explores how advanced technologies such as IoT, artificial intelligence, blockchain, and digital twins support the implementation of circularity principles while enhancing overall supply chain performance. By integrating these technologies into supply chain operations, firms can achieve real-time visibility, optimize reverse logistics, enable closed-loop systems, and improve traceability across product lifecycles. Based on a structured literature review and an analysis of emerging digital practices, this study proposes a conceptual framework that links digital enablers with key performance indicators for circularity and sustainability. The framework provides insights into the role of digitalization in boosting resilience, transparency, and resource efficiency in circular supply chains. The results contribute to the growing body of research on data-driven supply chain transformation and offer practical guidelines for industrial stakeholders pursuing circular and sustainable models
WCN26-8163 Impact of renin-angiotensin system inhibitors discontinuation in advanced chronic kidney disease: a target trial emulation
No full textInternational audienceIntroductionRenin-angiotensin system (RAS) inhibitors are a cornerstone of the treatment strategy aiming at reducing kidney and cardiovascular risks in patients with chronic kidney disease (CKD). However, it is common practice to stop RAS inhibitors in advanced CKD stages, as an attempt to avoid drug-related adverse effects and/or to delay initiation of kidney replacement therapy (KRT).MethodsFrom the CKD-Renal Epidemiology and Information Network prospective cohort study, we selected participants with an estimated glomerular filtration rate (eGFR) <30 mL/min/1.73m2 and treated with RAS inhibitors for at least 3 months. We performed a target trial emulation with parametric g-formula to compare two treatment strategies: to discontinue or to continue RAS inhibitors. Potential time-fixed and varying confounding factors included age, sex, diabetes, heart failure, respiratory disease, eGFR, systolic blood pressure, serum sodium and potassium, and drug prescriptions. Study outcomes were the composite of cardiovascular death, myocardial infarction, stroke or hospitalization for heart failure, i.e. major cardiovascular events (MACE), and KRT initiation.ResultsAmong the 1,434 patients included (median age 68 years, median eGFR 25mL/min/1.73m2, 35% women), 386 (27%) discontinued RAS inhibitors over a median follow-up of 35 months. The 3-year adjusted relative risk of MACE associated to discontinuing RAS inhibitors, compared to continuing, was 2.02 (95% CI, 1.62 to 2.47), and that of KRT initiation, 1.34 (95% CI, 1.14 to 1.60).ConclusionRAS inhibitor discontinuation was strongly associated with MACE and KRT risks, the leading causes of morbidity and mortality in advanced CKD. Our results, along with other published data, suggest that the risk-benefit balance favors continued use of RAS inhibitors in this population
Al–N–H compounds derived from ammonia alane: Synthesis strategies and characterization
No full textInternational audienceAmmonia alane (AlH 3 NH 3 , AA) is a solid hydrogen carrier with a high gravimetric hydrogen storage capacity of 12.86 wt%. In this study, we present the first experimental investigation of Al-N-H compounds synthesized via three distinct routes: (i) Lewis acid-base reaction, (ii) metathesis, and (iii) cryo-milling. Characterization techniques including FTIR spectroscopy, thermal analysis, X-ray photoelectron spectroscopy, and solid-state 1 H and 27 Al MAS NMR spectroscopy revealed the coexistence of multiple aluminum environments. However, the successful formation of AA could not be confirmed. Ambient storage and mild thermal activation (at 80 • C) led to the formation of Al-N polymers, likely resulting from dehydrogenation and partial deammoniation, underscoring the thermal instability of these phases. These findings highlight the need for a rigorously controlled synthesis-tocharacterization workflow under inert and subzero conditions (below -45 • C) to enable the isolation, comprehensive characterization, and evaluation of pristine AA for solid-state reversible hydrogen storage applications
Nontuberculous Mycobacterial Lymphadenitis in Children: A French Retrospective Multicenter Study on Epidemiology, Management Strategy and Outcome Over the Last Decade
No full textInternational audienceBackground: Nontuberculous mycobacterial (NTM) adenitis is increasingly recognized in children; however, optimal management strategies remain debated. The aim of this study was to describe the clinical characteristics, management and outcomes of pediatric NTM lymphadenitis in France. Methods: We conducted a multicenter retrospective descriptive study of culture-confirmed NTM lymphadenitis cases in children across 15 French hospitals participating in the MYCOMED network between 2010 and 2019. Results: A total of 279 patients were included, with a progressive increase in diagnoses over the study period, from 11 cases in 2010 to 33 in 2019, with peaks of 38 observed in 2015 and 2018. Most patients were female (64%) with a median age of 3 years. Mycobacterium avium was the most frequently isolated species (71%). Histologic examination revealed necrotizing granulomatous lymphadenitis in two-third of cases (71%, 112/115), and acid-fast bacilli staining was positive in 24.6% (68/276) of the cases. Of the 250 patients with available therapeutic data, 34.8% were treated with surgery alone, 24.8% with antibiotics alone, 28% with combined therapy and 12.4% received no treatment. Overall, 104 children were lost to follow-up. Among 175 patients with follow-up data, the overall cure rate was 96%, with no significant differences between therapeutic strategies. Relapse occurred in 6 children (3.4%). No cases of facial nerve palsy were reported; however, cosmetic sequelae related to scarring were observed. Conclusions: The incidence of pediatric NTM adenitis has increased over the last decade in France, with M. avium as the predominant species. The clinical outcome was favorable in most cases, irrespective of the management strategy. Surgery with complete excision should be considered when technically feasible and safe, while antibiotics or a “wait and see” strategy remain acceptable alternatives
Unveiling the Limits of Anticholinergic Burden Scales: A Study of Adverse Drug Reactions in the French Pharmacovigilance Database
No full textInternational audienceBackground and hypothesis: The anticholinergic burden is the cumulative effect of drugs with anticholinergic properties and is typically measured using one of several anticholinergic scales. We hypothesised that these scales may not fully capture all the relevant adverse drug reactions (ADRs). By accessing the French national pharmacovigilance database (FPVD) and focusing on drug classes known to induce anticholinergic ADRs, the objectives of the present study were to describe the reported ADRs, characterise the drugs involved, and examine the drugs' classification within anticholinergic scales.Methods: Cases were extracted from the FPVD (1985-2024) when the suspected drug (i) had a high anticholinergic score, according to one or more of 22 anticholinergic burden scales, or (ii) belonged to the same class as the drug identified in (i). The anticholinergic ADRs investigated were confusion, glaucoma, tachycardia, urinary retention, constipation, intestinal obstruction and mydriasis.Results: Of the 101,365 cases reported in the FPVD, regarding the selected drugs, 9629 (9.5%) involved at least one anticholinergic ADR investigated. Patients who experienced at least one anticholinergic ADR had a median age of 61 years (interquartile range: 38-79), and the majority were women (58%). Confusion was the most frequently reported anticholinergic ADR (4603 cases, of which 81% were classified as serious), followed by tachycardia (n = 1541 cases, 70% serious), and urinary retention (1061 cases, 75% serious). It is noteworthy that 98% of the 561 reported cases of intestinal obstruction were classified as serious. The drug classes with the highest number of reports were (by far) anxiolytics, antidepressants, and antipsychotics. Some drugs linked to anticholinergic ADRs in the FPVD were not present in (or were assigned a low score by) commonly used anticholinergic scales, such as the Anticholinergic Cognitive Burden.Conclusions: Anticholinergic ADRs affect both older and younger adults. The existing scoring systems might not fully capture the range of medications involved in real-world anticholinergic-related events
Quand la douleur parle la langue du trauma…
No full textInternational audienceCertains livres bouleversent à jamais notre compréhension de la souffrance humaine. Le Corps n’oublie rien de Bessel van der Kolk appartient à cette catégorie rare d’ouvrages qui redéfinissent une discipline. Face à ces patients douloureux chroniques aux symptômes parfois mystérieux, ce livre s’impose comme une boussole dans l’obscurité de notre incompréhension médicale
Bank CSR Engagement, Institutional Environments, and Corruption
No full textInternational audienceThis study examines the effect of bank engagement in corporate social responsibility (CSR) on corruption across 39 countries from 2002 to 2021. We build on the view that CSR enables banks to act as active agents influencing national corruption, rather than passive agents of institutional norms. Our results indicate that stronger bank CSR significantly reduces corruption, with robust findings across measures and specifications. CSR mitigates corruption through enhanced regulatory compliance, stakeholder protection, governance diversity, and improved information flows. It also complements formal institutions and informal societal norms, highlighting the potential of embedding CSR into banking regulation to advance both anti‐corruption and financial stability
Cohomological Mackey formula for quotient stacks
No full textIn this paper, we construct a restriction morphism on the critical cohomology of an equivariant Landau-Ginzburg model associated to a representation of a reductive group equipped with an invariant function. We show a compatibility formula between the restriction and induction maps as a Mackey-type formula, thereby giving the critical cohomology the structure of a localized induction-restriction system