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Facile Synthesis of Palladium Nanorods: Self-Assembly into Thin 2D Layers for SERS Sensing
No full textInternational audienceThis study presents a simple, high-throughput synthesis approach for fabricating palladium (Pd) nanomaterials with anisotropic shapes, specifically Pd nanorods, via a self-assembly process. This method avoids the use of reducing agents, surface functionalization, and stabilizing agents. Palladium–poly(methyl methacrylate) (Pd-PMMA) nanocomposites were successfully synthesized using a vapor-induced phase separation (VIPS) method. The formation of Pd nanorods was controlled by tuning key parameters, such as the Pd precursor concentration, choice of solvents, and spin coating speed. Notably, the resulting nanorods exhibited high reproducibility and ultrasensitivity as a surface-enhanced Raman scattering (SERS) platform, achieving an enhancement factor of approximately 1.8 × 105, despite the relatively weak plasmonic properties of Pd. This work represents a novel, facile strategy for Pd nanorod synthesis, offering new potential for the design of Pd-based nanosensors for chemical sensing applications
Autoencoder-Based Model of Nuclear Power Plant Core Temperature for Blockage Event Detection
No full textInternational audienceThis paper addresses the critical necessity of continuously monitoring systems of the temperature of fuel rod assemblies within a nuclear power plant and presents a quick and accurate detection of total and instantaneous blockages. Our research works propose an advanced and original autoencoder-based methodology for adaptive modelling of normal operational temperatures. This model allows incorporating detailed expertise on the specific malfunctions targeted, in order to detect and identify small heat increases indicative of blockages in the flow of a nuclear core coolant. The proposed online detection method ensures a reliable outcome in terms of false alarm probability as well as detection delay which are both of the utmost importance. Experimental results, utilizing real actual temperature measurements from the Superphénix power station, demonstrate the model's accuracy and the relevance of the proposed detection method.</div
Nationwide and regional assessment of individual radiation exposure footprint
No full textInternational audienc
Identifying key parameters to design sustainable projects in the field of aeronautics, in France
No full textInternational audienceDue to social, environmental and technical evolutions, we need to change the way we design and manage systems. Traditional project management practices must evolve to incorporate new sustainability objectives. The aeronautics sector is highly strategic and accounts for 7% of France's greenhouse gas emissions. It is beginning to attract the attention of researchers and manufacturers, with life cycle inventory development being a key topic. However, the literature on the parameters for successfully managing sustainability-oriented design projects in this field is lacking. The proposed paper aims to identify these key parameters. The research methodology involves analysing literature to compare the specificities and characteristics of the management of traditional design projects with those of sustainability-oriented design projects. The intersection of these two domains highlights a list of key parameters. Finally, these parameters are presented to practitioners through semi-structured interviews. These tests demonstrate practitioners' interest in these parameters and the need to position each project according to them
Perceiver IO Model for Efficient Vibration Signal Compression and Anomaly Detection
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Optimizing production and storage decisions for deteriorating items in energy-constrained systems
No full textInternational audienceThis study presents an enhanced Economic Production Quantity (EPQ) model that incorporates energy consumption and product deterioration to promote sustainable operations. The model simultaneously considers energy use during production and storage phases, deterioration behavior modeled by exponential decay, and a full backordering policy. It captures the interactions between inventory levels, energy efficiency, and product quality loss to better reflect real industrial conditions. Numerical analysis shows that integrating energy-related costs significantly reduces total expenses and minimizes deterioration losses. The findings underscore the importance of setup and energy costs in production planning and highlight energy efficiency as a key technological innovation for sustainable manufacturing. The proposed model offers practical guidance for industries striving to align economic objectives with environmental goals
Job sequencing and tool switching problem with non-identical parallel machines: Mathematical formulations and modeling improvements
No full textInternational audienceThe Job Sequencing and Tool Switching Problem with Non-identical Parallel Machines (SSP-NPM) is a generalization of the Job Sequencing and Tool Switching Problem (SSP), which is known to be a NP-hard optimization problem. SSP-NPM involves scheduling jobs on non-identical parallel machines while determining the associated tool sequences to minimize the makespan. In this paper, we propose an improved version of the existing position-based MILP model introduced in Calmels (2022a). Building on this, we develop a position-based arc flow model. In addition, we introduce a novel MILP formulation based on a job-group representation of the problem, as used in Akhundov and Ostrowski (2024) for the SSP, which we extend to derive a job-group-based arc flow model. Several valid inequalities and symmetry-breaking constraints were considered to improve the proposed approaches. Lower and upper bounds were also developed to improve the proposed approaches. Computational experiments were performed using available literature and randomly generated instances to evaluate the effectiveness of the proposed approaches
Differential modulation of endothelial cell functionality by LRP1 expression in fibroblasts and cancer-associated fibroblasts via paracrine signals and matrix remodeling LRP1 expression in fibroblasts and cancer-associated fibroblasts: divergent impact on endothelial cell behaviors
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Ambitions et principaux enseignements du colloque « Santé globale, décisions locales », organisé par la Filière Santé numérique
No full textInternational audienceHealth is \"a state of complete physical, mental and social well-being, and not merely the absence of disease or infirmity\". Health must therefore be considered in its entirety. To begin with, however, it is vital to move swiftly from the concept of holistic health to its practical implementation. This is what the first Digital Health Network symposium proposed on May 30 and 31, 2024. The Digital Health Network was originally set up by a group of players from the healthcare sector, industry, research and elected representatives, with the aim of pooling feedback from experience as close as possible to local realities. The following points were addressed: i) rebalancing the curative approach with a greater emphasis on prevention and health promotion; ii) rebalancing the genetic approach with a greater emphasis on exposomics; iii) insufficient use of digital technology to improve the health of local populations; iv) governance and organizational challenges from the point of view of local decision-makers and observers, with a focus on research; and v) the ambitions of the Digital Health Network. The symposium provided an opportunity to share case studies of public health challenges in local areas, and possible responses in terms of infrastructure and stakeholder participation: citizens, patients, healthcare professionals, service providers, experts and other stakeholders. The challenges of ageing and geriatric frailty underline the importance of a global, preventive and multidisciplinary approach to promote successful, independent ageing
