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Ultrafast control of quantum materials: the non-thermal dynamical strain pathway – FASTRAIN
Driving matter far away from equilibrium by ultrafast laser pulse opens new avenues to direct materials to other macroscopic phases through non-thermal dynamical pathways. The FASTRAIN project aims to unravel the physical backgrounds of ultrafast phase transitions in quantum materials caused by a un
Autonomous System for Terrain Recognition & Adaptation – ASTRA
The navigation of an autonomous system (robot or vehicle) in an unstructured environment remains an open problem despite the significant progress made in recent years in the field of autonomous vehicles. Recent innovations in the field of perception using Deep-Learning methods suggest solutions that
Deep generative and inference models for weakly-supervised speech enhancement – DEGREASE
Remote human interaction and human-machine interaction require reliable speech-processing technologies that can work in unconstrained real-world acoustic conditions. Speech recordings are inevitably contaminated by interfering sound sources and by the presence of reverberation. Whether for human or
Urinary peptidomic patterns of Long-COVID syndrome – UriCoV
Long COVID is the most frequent, yet poorly characterized sequelae of the world´s most impactful pandemic during the last 100 years. It has tremendous, yet not even foreseeable consequences on personal health and socioeconomic status of affected individuals and families, and on global macro-economi
Data-driven hybrid hydrological models: revisiting the role of river basins as information providers for a better assessment of risks and water resources – DRHYM
Hydrological models which represent the catchment behaviour in transforming climate inputs into streamflow and other hydrological variables are still of limited efficiency, in spite of long terms efforts to improve their skills. As an example, the development of GR hydrological models started in the
Quantitative pH mapping in skeletal muscle using CEST MRI as an imaging outcome measure in the disease progression of neuromuscular disorders – CEST-pHou
In this proposal, the main objective is to optimize Chemical Exchange Saturation Transfer (CEST) magnetic resonance imaging (MRI) for pH mapping on a 3-T clinical scanner in skeletal leg muscle of patients with neuromuscular disorders. Using MR spectroscopy (MRS), we have shown the interest of ass
The Symphony of the Senses – MusicBrain
The Symphony of the Senses Under the control of our auditory system, music is experienced differently by each of us. It involves the nerve pathways of the reward circuit leading to pleasure seeking. Several neurotransmitters that are common to other forms of pleasure, such as eating, play a major
Funerary composting: use of Participatory Action Research to support a social transition – F-COMPOST
This research program results from a demand arising from civil society, which claim studies focusing on funerary composting. In this funeral process process, the body of the deceased is placed on a layer of plant shavings, then covered with the same material. Due to the natural degradation by aerobi
AI-enabled Digital Pathology for Spatially Resolved Molecular Profiling – DAFNI
Le cancer est la principale cause de décès dans le monde. Ces derniers temps, les avancées dans le domaine de la médecine de précision ont modifié les normes de traitement du cancer en proposant de nouveaux plans de traitement personnalisés aux résultats prometteurs. Cette spécification du traitemen
New process approaches for efficiently producing L-rhamnose – RAh
L-Rhamnose (6-deoxy-L-mannose) is a rare monosaccharide exiting in nature but not easily accessible. It is described as a high value molecule for the food industry, pharmaceuticals, or nutraceuticals due to its unique physiological effects. Regarding a complex and expending market and the existing i
