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“Replacer l’héritage canonique de Nicée dans le cadre de l’énoncé pétrinologique romain. Remarques géo-ecclésiologiques sur la Praefatio longa et son Sitz im Leben”
No full textInternational audienc
Aménagement tardif des conditions de travail d'un agent en situation de handicap et octroi de la protection fonctionnelle
No full textInternational audienceNote sous CAA Paris, 4 décembre 2024, no 23PA0059
Assessing Collaborative Writing through NLP: A Case Study on Monomodal Text Co-construction
No full textInternational audienceThe widespread adoption of digital tools in higher education has profoundly transformed how students write, read, and collaborate. While research on digital literacies and collaborative writing has explored multimodal storytelling and asynchronous platforms, little attention has been paid to monomodal, synchronous collaborative writing and its linguistic outcomes. Tools such as MeetingWords, which combine real-time text editing with integrated chat, create new opportunities to observe how learners negotiate language and structure together. Yet, little is known about their specific linguistic effects on syntactic complexity, lexical diversity, and stylistic sophistication.This study aims (1) to explore how synchronous, monomodal collaborative writing influences the linguistic properties of student texts and (2) to assess the relevance of NLP-based metrics for pedagogical analysis. The research hypothesizes that collaboration shapes internal consistency and lexical structuring, leading to stylistic convergence or divergence measurable through fine-grained linguistic indicators.Data come from a structured, multi-phase digital writing experiment with 20 undergraduate students in language and literature. Each wrote two narratives from the same visual prompt—one individually and one collaboratively via MeetingWords. The resulting corpus of 30 texts (10 collaborative, 20 individual) was analyzed using syntactic complexity (sentence length, syntactic depth, dependency length), lexical diversity (MATTR, HDD, MTLD), and lexical sophistication (PLex, MLR) metrics. Statistical comparisons and functional block analysis examined interrelations among linguistic dimensions across writing modes.Results indicate that collaborative texts tend to be more homogeneous, showing stronger syntactic–lexical correlations and greater negotiated coherence, whereas individual texts display higher stylistic variability and idiosyncratic integration. These findings validate the use of NLP metrics for educational writing analysis and shed light on cognitive and interactional mechanisms in collaborative writing. From a pedagogical perspective, the study supports integrating automated linguistic dashboards to monitor student progress and inform adaptive feedback in digital learning environments
Social Media Influencers and Sexual Health: A Systematic Review of Communication Techniques
No full textInternational audienceAbstract Background Lay users have been using social media for several years to communicate health messages. These influencers, who share their opinions and experiences, use specific communication techniques to reach young people and disseminate sexual health messages. There is no consensus in the literature on the impact of these influencers on sexual health behavior, and lack of a common conceptual framework for analyzing existing communication techniques on social media regarding sexual health. We search, in the literature describing and analyzing those influencer messages, the communication techniques used by content creators on social media to address sexual health topics. Methods We conducted a systematic review of the international scientific literature following PRISMA guidelines. Studies included must describe sexual health communication techniques on social media that may be aimed at 13-24 year-olds. Searches were carried out on PubMed, Webofscience, LISTA and OpenDissertations. Results The search algorithm retrieved 2573 articles, of which 44 were included in the final analysis. Preliminary results indicate that the methodologies used for content analysis are highly heterogeneous. There are few scientific articles studying the communication techniques used on social media as a potential means of promoting sexual health, particularly for video-based content. Moreover, most articles focused on disease and pregnancy prevention, rather than on messages promoting positive sexual health and well-being. Conclusions This review underlines a lack of consistency in both the terminology and conceptual frameworks used to study sexual health communication on social media. It also points to a lack of literature interested in positive communication in sexual health, including regarding crucial notions like sexual pleasure. As a result, we propose a unified framework for researchers to use a common language and tools to describe communication on social media. Key messages • This review provides a synthesis of existing published knowledge on communication techniques used on social media to discuss and promote sexual health. • We propose a comprehensive framework based on the existing literature for researchers to consistently describe and analyze health communication techniques on social media
Open‐Circuit Fault Detection Strategy in Grid‐Tied NPC Inverters Using Distorted Current and Model Predictive Control
No full textInternational audienceInvestigating and addressing fault detection is crucial for advancing the reliability, performance, and cost‐effectiveness of grid‐connected inverter systems, thereby contributing to the stability and efficiency of modern power grids. This study introduces a novel approach for detecting and classifying open‐circuit faults (OCFs) in three‐level neutral point clamped (3‐L‐NPC) inverters connected to the grid. The proposed algorithm swiftly identifies faulty switches and clamping diodes using distorted current signals and model predictive control (MPC), eliminating the need for additional hardware or complex computations. By addressing the challenge of identifying the specific switch under grid‐connected conditions, the proposed method achieves faster detection and identification of all switches and clamping diodes in less than one fundamental period which is very good compared with recent studies and considering that no extra sensors are used. Furthermore, this work demonstrates the efficacy of MPC in tolerating OCFs in clamping diodes, showcasing its potential to enhance system resilience and performance. The proposed strategy significantly improves the reliability of 3‐L‐NPC inverters by ensuring prompt and accurate fault detection and classification. Both experimental and simulation results confirm the efficacy of the suggested fault detection and identification approach, emphasizing its practical applicability in real‐world grid‐tied inverter systems
Toward a validation of coupled arc-melt pool model for a TIG spot weld configuration
No full textInternational audienceThe TIG process is a complex arc welding method due to the multitude of operating parameters and their interdependence, making it challenging to master. To improve understanding of it, a magneto-thermo-hydrodynamic model with arc-melt pool coupling is realized. A comparison is made between numerical and exhaustive experimental results of welding performed on 304L stainless steel in spot configuration at 150 A and 250 A . The effect on the melt pool of increasing the intensity is numerically studied and compared to experimental trends. A significant reduction of the model error is observed when considering the deformation of the anode-plasma interface, which strongly impacts the arc and the melt pool at high intensity. However, the numerical melt pool size is still underestimated compared to the melt areas observed on the post-mortem micrographs. The effect of an additional potential drop term that can be found in the literature is studied and demonstrated to be ineffective. The experimental melt area overestimation is discussed to explain the differences observed
Lifecycle Collaborative Planning for Traction Power Supply Systems With Integrated Energy Access
No full textInternational audienceAs global energy transition and electrified transportation continue to advance, traction power supply systems (TPSS) are becoming increasingly vital in rail transit. To solve problems that traditional planning for TPSS often overlooks the integrated energy access and the collaborative optimization of economic security throughout the life cycle, a lifecycle economic-security collaborative planning (LE-SCP) model for TPSS with integrated energy access (IEA-TPSS) is proposed. This model integrates an equipment performance correction matrix (EPCM) to address the performance degradation over the lifecycle of equipment. In addition, it considers N−1 security to ensure the resilience of IEA-TPSS under contingent conditions. Furthermore, a scenario-based hierarchical decomposition (SHD) method is introduced to solve this model. A case study analysis using actual data was conducted to validate the LE-SCP model and SHD method. The simulation results show that the LE-SCP model and the SHD method effectively address the comprehensive lifecycle planning issues of IEA-TPSS, considering both equipment degradation and N−1 security. Moreover, compared to traditional solution algorithms, the proposed SHD method can effectively reduce the model-solving time by 8.61
Comparative study of three cellular materials under blast and sustained shock wave
No full textInternational audienceThis study investigates the mechanical response of three cellular materials—polyisocyanurate (PIR), autoclaved aerated concrete (AAC), and Aluminum Lightweight Foam (ALF, Nufoam® 140)—under blast and shock loading conditions. The research aims to provide experimental data for optimizing building protection against explosion hazards. Laboratory-scale tests were conducted using a shock tube to generate blast and sustained shock waves. The materials’ responses were analyzed using high-speed imaging and digital image correlation. Results indicate that PIR exhibits significant deformation under sustained shocks but shows recovery under blast loading. AAC demonstrates erosion-based energy dissipation, with material loss concentrated at the extremities. ALF, serving as a reference, shows excellent mechanical energy dissipation. The study highlights the potential of these materials for applications requiring both thermal insulation and blast resistance, contributing to the development of predictive tools and larger-scale experiment designs
A comprehensive platform investigating thermal, mechanical and rheological properties for biocomposite based on poly (3-hydroxybutyrate-co-3-hydroxyvalerate) reinforced with biomass by-products
No full textInternational audienceInterest in developing polyhydroxyalkanoates (PHAs) -based biocomposites with biomass fillers (biofillers), derived from local organic by-products, to mitigate global plastic pollution has increased significantly in the last decades. These biocomposites not only offer a more cost-effective solution but also contribute to reducing the carbon footprint, enhancing product circularity, and accelerating biodegradation kinetics. However, optimising their mechanical properties and processability to effectively replace conventional plastics remains a challenge. This study holistically investigates key factors influencing the thermal, mechanical, and rheological properties of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) -based biocomposites. The range of biofillers used in this work, including wood sawdust, macadamia / walnut nutshell flour, agave piña fibres, sorghum stem/leaf fibres, wheat bran flakes and treated wood flour, differ significantly in origin, composition and shape. Except for the wood, the addition of biofillers resulted in a decrease in T m by 1 to 3 • C, T c by 1 to 6 • C, and T g by 0.5 to 13.5 • C. The greatest reduction in T g was observed with the Walnut biofiller. A significant gap of 60 % in tensile stress and modulus was noted between the best and worst performing biofillers, highlighting the importance of carefully selecting the biomass for biocomposite manufacturing. Consistent correlations were found between mechanical properties and the cellulose content, crystallinity, and the hydrophilic surface of the biofillers. The findings suggest that superior PHBV-based biocomposite performance can be attributed to the presence of hydroxyl groups from carbohydrates on the biofillers' surface and a robust internal cellulose structure. Additionally, the shape of the biofillers, particularly the aspect ratio, shows a stronger correlation with rheological behaviour at low angular frequency than the interactions between biofillers and PHBV. At high angular frequencies, the addition of biofillers leads to a reduction in PHBV viscosity by 40 % to 80 %, depending on biofiller used. To support the development of a comprehensive platform for PHAs-based biocomposites, this study compares and validates various characterisation methods ( 13 C ssNMR, TGA, carbohydrate and lignin analysis) that more effectively assess the composition of reinforcing biofillers