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are being envisaged for future 6G networks [1,2] as a first line of defense with low latency and low computational cost. A key requirement for their practical implementation is the guarantee of an asymmetry
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these unique datasets using advanced artificial intelligence methods to automatically analyze blood-flow velocity, vessel diameter, and the functional response of the retinal vascular network. The project
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the monolayer could be evidenced from a precise analysis of the observed domain sizes. A second study will be an attempt in using such hexagonal network to form a large metallic graphene network (by depositing
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Landslides are one of the major natural hazards in mountainous areas, regularly affecting the French Alps. They cause significant economic costs, disrupt communication networks, and pose direct threats
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of neuronal networks and how this translates into specific behaviors in healthy and pathological conditions. To achieve these objectives, SPPIN adopts a multidisciplinary approach combining optical microscopy