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for age-related macular degeneration (AMD). Computational modelling enables researchers to integrate several types of biological data into a single framework, to test perturbations in silico, and to predict
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the effectiveness of the sports equipment used. The proposed protocols include friction tests (deceleration and traction tests using portable devices), combined with a comprehensive environmental
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FTIR/Raman spectroscopy, DSC, DMA, photorheology and mechanical/adhesion testing. A modelling approach will be used to link irradiation conditions to the generation of reactive species and to
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algorithms will subsequently be developed, trained and tested to identify markers of reduced brain resilience during ageing. The project adopts an interdisciplinary approach at the interface of neuroscience
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coupling, damage evolution, and anisotropic material behaviour. These developments will result in a virtual digital framework capable of providing predictive indicators, virtual testing, and decision-support
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of Technology (KIT), Germany. GSP techniques will be validated and fine-tuned in a variety of simulation conditions. To test their clinical relevance, the optimized GSP techniques will also be applied to real
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of extracting quantitative seismic observables and testing their consistency with competing physical models. Comminges (Occitanie) – Primary Application Target The Comminges prospect is a unique natural
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outputs. • Conduct sensitivity tests using perturbed synthetic climates. • Identify and rank the internal and external forcings influencing the evolution of these glaciers. Our understanding
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to environmental disturbances. The MULTICHEM-HOLO project aims to test the hypothesis that post-fire resilience is an emergent property of this holobiont, resulting from dynamic interactions between the plant, its
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of the current situation and risks, we also plan to examine the following two points in detail: A comparative analysis with Réunion Island, which has experienced similar crises in recent years. We are particularly