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Extracellular Polymeric Substances (EPS) extracted from aerobic granules as bioadhesives for sunflower bark particleboards: mechanical and thermal insulation properties
No full textInternational audienc
Crunch Time at Trouhard: Evaluating the Smart Money Move for Biscuit Packaging Expansion
No full textThe Case Centre, case study 125-0062-1, teaching note 125-0062-8, teaching note supplement 125-0062-8BThe Case Centre, case study 125-0062-1, teaching note 125-0062-8, teaching note supplement 125-0062-8BThis case study delivers a practical learning experience in capital budgeting and investment evaluation, designed for students in corporate finance and general management programs. Set within the food packaging industry, it challenges students to apply fundamental financial analysis techniques to real-world equipment acquisition decisions. Students assume the role of financial analysts at Trouhard, a specialized food packaging company focused on biscuit wrapping solutions. Their primary responsibility involves evaluating three different financing alternatives for acquiring new packaging equipment using standard capital budgeting methods. The case emphasizes practical application of NPV analysis, cash flow evaluation, and comparative financial analysis. Through this engaging scenario, students strengthen their understanding of investment decision-making fundamentals and develop proficiency in Excel-based financial calculations. They gain hands-on experience applying time value of money concepts to evaluate financing alternatives in an industrial context. This case is suitable for undergraduate and graduate students learning core capital budgeting principles, as well as early-career finance professionals.2025-06-2
La répartition des étrangers et des immigrés. Vers une redistribution spatiale ?
No full textInternational audienc
LAVA: Leveraging Self-attention to Learn Video Features for Wastewater Pipe Anomaly Detection
No full textInternational audienceUrban network data often originate from multiple sources and are represented in diverse formats, which can make their processing and analysis complex. In this work, we focus specifically on video data, particularly inspection television (ITV) videos of wastewater pipes. These videos play a crucial role in the management and maintenance of urban networks. On one hand, they help identify anomalies that may affect the pipes, such as obstructions or degradations. On the other hand, they provide essential information about the structural properties of the pipes and networks, including their diameter and the direction of wastewater flow. In this paper, we propose a classification algorithm for ITV videos, with a particular focus on detecting diameter changes, internal cracks, chemical attacks, and turbid-colored water within the pipes. This task is essential for predictive maintenance and hydraulic modeling of wastewater networks. We build on Video Vision Transformer (ViViT) and TimeSformer-based methodologies for video classification, which allow for the effective capture of both spatial and temporal relationships between the different frames in the video data. We specifically describe various mechanisms for generating training datasets from a subset of manually annotated images. The experimental study shows promising results on real-world ITV videos of wastewater pipe networks.</div
Impact de séances de méditation de pleine conscience sur la symptomatologie du trouble de stress post-traumatique en rééducation cardiovasculaire
No full textInternational audienceGiven the close link between cardiovascular disease and post-traumatic stress disorder (PTSD), it is appropriate to focus on the symptoms of PTSD throughout the cardiology care pathway. The aim of the study presented here, which involved 67 patients, was to integrate an intervention based on mindfulness meditation into a cardiovascular rehabilitation programme and then to assess its impact on the symptoms of PTSD.Compte tenu du lien étroit existant entre les maladies cardiovasculaires et le trouble de stress post-traumatique (TSPT), il convient de s’intéresser aux symptômes de ce dernier tout au long du parcours de soins en cardiologie. L’étude présentée ici, qui a porté sur 67 patients, avait pour objectif d’intégrer une intervention basée sur la méditation de pleine conscience au sein d’un programme de rééducation cardiovasculaire puis d’évaluer son impact sur la symptomatologie du TSPT
Investigation of frozen sand–concrete interface behaviour based on shear properties
No full textInternational audienc
X-ray thermal diffuse scattering as a texture-robust temperature diagnostic for dynamically compressed solids
No full textInternational audienceWe present a model of x-ray thermal diffuse scattering (TDS) from a cubic polycrystal with an arbitrary crystallographic texture, based on the classic approach of Warren [B. E. Warren, Acta Crystallogr. 6, 803 (1953)]. We compare the predictions of our model with femtosecond x-ray diffraction patterns gathered from ambient and dynamically compressed rolled copper foils obtained at the High Energy Density instrument of the European X-Ray Free-Electron Laser facility and find that the texture-aware TDS model yields more accurate results than does theconventional powder model owed to Warren. Nevertheless, we further show: with sufficient angular detector coverage, the TDS signal is largely unchanged by sample orientation and in all cases strongly resembles the signal from a perfectly random powder; shot-to-shot fluctuations in the TDS signal resulting from grain-sampling statistics are at the percent level, in stark contrast to the fluctuations in the Bragg-peak intensities (which are over an order of magnitude greater); and TDS is largely unchanged even following texture evolution caused by compression-induced plastic deformation. We conclude that TDS is robust against texture variation, making it a flexible temperature diagnostic applicable just as well to off-the-shelf commercial foils as to ideal powders
Long-term thermo-mechanical behaviour of an energy pile installed in clay: Field experiments and numerical simulations
No full textInternational audienceThis study investigates the long-term thermo-mechanical behaviour of an energy pile installed in clay using field experiments and numerical simulations, aiming both to understand its response under sustained mechanical loads and cyclic thermal loading, and to develop a novel numerical model that can provide practical guidance for the design of energy piles. Firstly, full-scale experiments were performed on energy piles (0.42 m in diameter and 12 m in length) subjected to constant axial loads combined with three or five cyclic thermal loads. One pile was loaded to 30 % of its bearing capacity, and another to 50 %. Under these constant axial loads, the piles were subjected to several thermal loading cycles. Mechanical loading was finally applied to these piles after thermal cycles. A third pile was only mechanically loaded until the pile’s bearing capacity was reached. Results for the pile temperature and axial strain, pile head displacement, and axial load are shown. Secondly, a numerical model was developed based on a one-dimensional nonlinear finite element approach to investigate the long-term thermomechanical behaviour. This model was validated against the experimental results. It was then used to simulate 30 thermal cycles, revealing that the irreversible settlement of the pile head increases with higher axial loads, and that the first thermal cycle induces the largest irreversible settlement
WeightedHGE: Weighted Heterogeneous Graph Embedding
No full textInternational audienceIn this paper, we introduce a novel method for embedding weighted graphs, designed to capture the significance of relationships in real-world weighted graph data. Unlike existing models that treat all relationships equally, our approach incorporates edge weights directly into the embedding process, enhancing the representation of highly weighted connections. By introducing modifications to both the scoring and loss functions, our method emphasizes the importance of weighted relationships during training. Theoretical analysis shows that our model maintains efficiency and scalability while significantly improving the capacity to represent weighted graph structures. Experimental results demonstrate that our approach consistently outperforms baseline methods, including TransE, in tasks involving weighted relationships, showcasing its robustness and applicability
A coenergy-based methodology for modeling anisotropy in grain-oriented electrical steel
No full textInternational audienceThis work focuses on the vectorization of the magnetic anisotropy model for grain-oriented steel sheets by exploiting coenergy computation and interpolation methods. The proposed approach is based on a modified representation of coenergy isocontours in elliptical form. A novel method for measuring the 2D anhysteretic properties with a rotational single sheet tester is proposed. The model precision is analyzed together with a reduced number of directions