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Learning Boltzmann Distributions for Combinatorial Optimization – ComBo
This project is at the interface of statistical learning (mainly deep learning) and combinatorial optimization (mainly stochastic and evolutionary). Its originality is to propose a coupling between the two types of approaches, based on 3 modules: i/ the search for a continuous embedding of the comb
GraphRec: Efficient and Scalable Recursive Programming with Graphs – GraphRec
Large graph data structures are increasingly used in many areas such as transportation networks, healthcare (drug interactions), cryptocurrencies (blockchain transactions), social networks, knowledge management, etc. Recursive programs constitute a very powerful means to extract valuable information
Feasibility and interest of microwave heating for the disinsectisation of stored cereals – GRANIonde
In response to the global challenge of reducing the use of plant protection products in storage and to meet the needs of operators to have complementary physical curative control methods alongside the prophylactic methods already in place (cooling of grain, insecticide treatment of premises, cleanin
wateR cyclE For RESilient Heritage – REFRESH
Cultural heritage, as represented by collections in museums and the built environment, is a unique resource in socio-cultural and economic terms. Climate change will lead to extreme events such as droughts and floods, severe storms and heat waves occurring more frequently across Europe. While the im
Controlling surfactant therapy for acute respiratory distress syndrome with two-phase flow and machine learning – INHALE
Surfactant replacement therapy (SRT) consists of instilling a liquid-surfactant mixture into the trachea of premature newborns, whose high alveolar surface tension makes their lungs stiff and difficult to inflate. Despite indisputable efficacy, the dose and administration method have been primarily
Nano-Enabled Antimicrobial Food Packaging Incorporating Natural Bioactives from Mediterranean Agri-Wastes – A- BLOCK
Active food packaging systems have gained a lot of interest as they play a critical role in extending the shelf life of food products while reducing the risk of microbial growth. It is well known that extending the shelf life of food by even one day has a huge impact on sustainability in terms of co
Restoring sensitivity to azoles in candidemia – RESTOR
Fungi infect a billion people, 3 million invasively and 1.5 million deadly. Candida species are the most involved in humans against which antifungal drugs have been developed, among which azoles are the most widely used. Candida triggers a resistance to azole by expressing Cdr1, a membrane pump that
Urban mobility and active transportation under the lens: Adapting urban design to daily-life perturbations and heat waves – MUTATIS
Promoting and managing active mobility (i.e., walking or riding a bike or an e-scooter) in urban settings has become a major challenge; these active modes are particularly vulnerable to a variety of `perturbations' (in a broad sense), caused by their mutual interactions, by hindrances on the pavemen
Gas Diffusion Photoelectrodes with Backside Solar Light Illumination for Small Molecules Capture and Catalytic Reduction – GASPER
The aim of the GASPER project is to develop and fully characterize a new concept of gas diffusion photoelectrodes with backside illumination for CO2 conversion under solar light. To this end, we will take advantage of a very recent discovery by one of our partners that has made backside illumination
Anomalous Persistence of Evaporating Dense Sprays – APIEDS
The "Anomalous Persistence of Evaporating Dense Sprays" (APIEDS) project is intended to address significant gaps in our understanding of dense spray dynamics by leveraging the collective expertise of leading researchers from LPENS/Université Paris Cité, specialists in wetting, nucleation, and partic