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On the Cognitive principles underlying operational biases in the temporal domain – CoPrOBTeD
The project will (1) probe the functional locus of the effect by isolating the perceptual from the motor component of the information processing. It will test (2) the predictions that can be made according to the sensory integration hypothesis to test whether the observed effects reflect stimulus energy accumulation rather than a cognitive bias and will probe (3) whether the TME emerges from general principles governing time perception.
Oligoesters migrating from food can coatings – Filling risk assessment gaps – Oligo
The OLIGO project aims at stimulating and supporting a thorough risk assessment related to the dietary exposure of the French population to cyclic oligoesters migrating from polyester-based coatings into canned foodstuffs. It addresses a timely and important public health issue related to the chemical safety of food that has not yet been resolved.
Odorant Binding Proteins-based biomimetic optical nose – OBP-optinose
Odorant Binding Proteins-Based Biomimetic Optical Nose
ORAI3 loss drives neuroendocrine transdifferentiation of prostate cancer – AURORA
malignancy and third in terms of mortality in men (WHO 2021). Androgen-targeting therapies (anti-ADT) represent
Nuclear export of Influenza RNA segments – NEPTUNE
reconstructions, she has been recruited by the CNRS in 2021 in the “Institut de Biologie Structurale” (UMR5075
Novel strategies for Osteoarthritis treatment based on innate LYMPhoId Cells modulation. – OLYMPiC2024
Osteoarthritis (OA) is a painful joint disease characterized by the degradation of the articular cartilage, various degrees of synovial tissue inflammation (synovitis) and the formation of osteophytes altogether leading to the loss of joint function. Preliminary data from our international consortium highlighted that distinct ILC subsets can be found in the synovium of both OA patients and a relevant mouse model of OA, but their role in the disease is currently understudied.
Novel materials as electrode and electrolyte components in fuel cell technology – C-MOF.cell
A main concern of the 21st century for society is the high global demand for energy. Therefore, it urges the development of new technologies for the sustainable production and storage of energy, improving their efficiency and environmental compatibility and decreasing their cost. This project aims to develop novel functional materials for polymer electrolyte fuel cells that are efficient, affordable and robust in a broader range of operating conditions than achieved with current materials.
Novel Fungal Lipids AMinoacylation Systems – N-FLAMS
We discovered a new family of lipids, aminoacylated ergosterols, and the enzymes responsible for their synthesis and hydrolysis in a wide range of filamentous fungi including Aspergillus fumigatus, an opportunistic pathogen. This project aims to identify the subcellular localization of these lipids and of the enzymes producing them, and to unravel the role they play in the physiology and virulence of these fungi in order to identify new leads for the development of new antifungal strategies.
Non-Fullerene-Acceptor based polymer solar cells with 15% efficiency and 10-year lifetime – NFA-15
Polymer solar cells have seen a performance gain of 6% to 13% between 2015 and 2017 thanks to the use of non fullerene acceptors (NFAs). The NFA-15 project aims to develop new NFAs and an approach based on ternary blends to achieve 15% performance at laboratory level. In addition, a transfer of NFA technology at the industrial level is targeted to obtain modules at 10%, i.e. 8-9% after stabilization, and a lifetime of 7 to 10 years.
Non linear Atmospheric Response to Sea surface temperature for a physically consistent ENSO (El Niño Southern Oscillation) paradigm – ARiSE
ENSO is the dominant climate variability phenomenon on earth. It develops as the result of air-sea interactions in the tropical Pacific, and has major societal impacts globally. Understanding and modelling ENSO correctly is thus a pre-requisite for seasonal climate prediction. ENSO’s warm (El Niño) and cold (La Niña) phases are not symmetrical, with much larger amplitude (extreme) El Niño than La Niña events.