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Yarrowia lipolytica oleochemicals based on odd chain fatty acids – YaLiOl
The objectives of the YaLiOl project are to: 1) to advance the engineering of Y. lipolytica for the production of odd-chain fatty acids (OCFA); 2) to develop a fermentation medium based on sugar beet molasses; 3) recovering the OCFAs, characterizing them, and transforming them into oleochemical
XAI for Black-Box Models Using Logic-Based Formal Methods and Combinatorial Optimization – FORM-XAI
The FORM-XAI project addresses the growing need for interpretability in the field of artificial intelligence (AI), particularly in critical sectors such as healthcare, finance, and transportation. Complex models, such as deep neural networks, while effective, raise concerns about their opacity, ther
Wide-scanning, ultra-compact, multi-beam reconfigurable antenna for the next generation of automotive radars for active safety – MM-Scan
The main objective of the MM-Scan project is to propose new low cost reconfigurable antenna architectures for automotive radars dedicated to active safety in W band. These architectures are based on multilayer Printed Circuit Board (PCB) technologies known as SIW (Substrate Integrated Waveguide). Th
What role for energy in synaptic plasticity? Deciphering the impact of glutamate and lactate transporters by lentiviral targeting. – Neuroenergetics
It is increasingly recognized that energy consumption is a key constraint on neural function. To ensure optimal efficiency in synaptic transmission, plasticity and energy supply of local networks, multiple molecules are exchanged between neurons and astrocytes. A major breakthrough in the understand
Water Oil Laden Foam – WOLF
Our understanding of oil and aqueous foam interactions is only partial and so far, it is limited to foam stability using thermodynamic concepts such as entering coefficients and disjunction pressure. Yet, less is known on the ingestion mechanism of oil by the foam, on the transport and dispersion
Wasserstein Gradient Flows for Optimization and Sampling: non asymptotic properties and the non log-concave setting – WOS
An important problem in machine learning and computational statistics is to sample from an intractable target distribution. In Bayesian inference for instance, the latter corresponds to the posterior distribution of the parameters, which is known only up to an intractable normalisation constant, and
Virtual damping for vibroacoustic design of future launchers – ARIAN
The control of damping is a major problem in the dimensioning of space and land vehicles. By reducing or eliminating costly structural tests, the absence of damping models can lead to over designing the structure instead of insuring its vibration comfort, which constitutes the main objective of the
Viral Rhodopsins: Structure, Function and Next Generation Optogenetic Tools – Viral_Rhodopsins
Giant viruses have genomes and sizes comparable to those of some bacteria. Rhodopsin genes were identified in giant viruses which infect an algae of the Organic Lake, Antarctica. It is known that the algae is a major source of dimethyl sulfide which is known as a critical substance influencing ecolo
Vectorization of iridium(III) complexes using siderophore surrogates : a Trojan horse strategy against Gram-negative pathogenic bacteria – VECTRIUM
The bacterial resistance to antibiotics is a crucial issue in many countries. Urgent innovative solutions are needed to fight infections caused by nosocomial Gram-negative bacilli, such as P. aeruginosa, A. baumannii, etc. Alternatives strategies to antibiotherapy are expected to broaden the therape
Valorization of new High Added Value Compounds (HAVC) from European vine and wine production solid wastes – technological, economical and social issues – VALUXTRACT
The extraction yield of bio-active compounds from plant materials is influenced mainly by the process of extraction. The traditional extraction technique employs large amounts of solvents. New processes such as Pulsed Electric Fields, High Voltage Electric Discharges and Subcritical Water Extraction
