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ARTificial Intelligence-based Cloud network control – ARTIC_2_Ukraine
By 2021, cloud IP traffic will be the most part of an Internet traffic that complexifies with an increasing
ARTificial Intelligence-based Cloud network control – ARTIC_1_Ukraine
By 2021, cloud IP traffic will be the most part of an Internet traffic that complexifies with an increasing
WAter vapor LIdar NEtwork ASsimilation – WaLiNeAs
Heavy precipitation events pose a threat to human lifes as well as the economy and the environment of impacted regions. Considerable efforts to improve the forecast skill for such severe events have been made in recent years. However, predicting such high-impact events remains limited because of the lack of adequate high frequency, high resolution vertically resolved water vapor observations in the lower troposphere to be assimilated in numerical weather prediction models.
Combination of Motor Imagery and Muscle Stimulation (MIMS) to promote neuromuscular plasticity during limb immobilization – MIMS
L'immobilisation complète ou partielle du corps est utilisée pour modéliser de manière aiguë la désuétude musculaire. Une blessure aiguë conduit souvent à une période d'immobilisation du membre blessé, ce qui entraîne des altérations drastiques des facteurs neuronaux et musculaires. Le présent projet propose de développer une méthode permettant de prévenir le déclin important de la fonction motrice suite à l'immobilisation du membre, tant au niveau musculaire que nerveux.
Unraveling the pathophysiology of Bethlem Myopathy using a unique zebrafish model for the disease – FishandCol6
Bethlem myopathy (BM) is a misunderstood and uncurable disorder characterized by abnormal contractures and muscle weakness. The BM results from mutations in one of the genes encoding the 3 major a-chains of collagen VI (ColVI), a component of the myomatrix, but the mechanisms of action have not been elucidated. Our working hypothesis is that muscle dysfunction caused by BM mutation results from alteration in muscle excitation and/or intracellular Ca2+ homeostasis.
Spin and Valley Dynamics in 2D van der Waals Materials – 2D-vdW-Spin
Key Challenges in this field are the key targets of the consortium, namely :<br />1. High quality sample preparation : new material combinations with well defined optical transitions and spin states<br />2. New electronic states in van der Waals Materials : discovery and tuning<br />3. Controlling spin and valley dynamics/mixing/splittings in van der Waals materials
Ultra Low Power Smart 3D Cochlea – ULP-COCHLEA
ULP COCHLEA project will permit, by mimicry, the design of smarter, smaller, cheaper and passive bioinspired acoustic sensors for long-duration in-situ monitoring and analysis of marine environment and related maritime activities especially in Mediterranean Sea. The project will enable the development of cognitive and predictive models for understanding submarine life for long spatial and temporal scales.
Design and evaluation of Covid screening strategies in various contexts based on empirical contact data – Coscreen
COSCREEN addresses the urgent and crucial need to design, validate and optimize new strategies of repeated testing and screening in contexts such as schools, offices, universities. We will design detailed realistic numerical simulations of the spread of COVID-19 that take into account the whole complexity of contacts between individuals by leveraging empirical high-resolution contact data. This will provide realistic scenarios and optimized policies for use by policy makers.
Impact of the aberrant cell-matrix interaction in Non-Alcoholic fatty liver diseases progression – MATRIXNASH
Non-Alcoholic fatty liver diseases (NAFLD) with a 25% worldwide prevalence are leading causes of liver-related morbidity and mortality. Chronic inflammation (NASH) and associated fibrosis are the progressive forms of NAFLD and no pharmacological treatment is yet available. We will investigate how the extracellular matrix and its receptors play a key role in orchestrating chronic inflammation and fibrosis contributing to NAFLD progression.
