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Field testing an integrated quantum repeater node – InQuRe
118, 144003 (2021). 10. Babin, C. et al. arXiv2109.04737, Nat. Mater. to appear, (2021). 11. Bhaskar [...] (2020). 5. Michaels, C. P. et al. arXiv:2104.12619 (2021). 6. Nagy, R. et al. Phys. Rev. Appl. 9, 034022
Role of Corticoids in Ocular Rosacea – ROCOR
Ocular rosacea (OR) is a common but underdiagnosed ocular surface disease. It alters significantly the quality of vision and life and can threaten the visual prognosis as no treatment is available. OR results from chronic neurovascular and inflammatory mechanisms that can be triggered by corticosteroids. But the mechanisms linking corticoids and neurovascular, immune dysregulation and meibomian gland dysfunction (MGD) in OR are unknown.
Core integration of novel functional, adaptive materials into a smart, highly sensitive analytical system for point of need environmental applications – SmartMatter
SmartMatter proposes novel functional materials featuring magneto-plasmonic properties and validated capability for boosting sensitivity to environmentally relevant analytes. Adaptive 3D-nanoplatforms will enhance the analytic response of (magneto)optical waveguides sensing chips encompassing analyte specific interaction sites.
Study on management and learnings of the fight against infection and contamination by the Covid-19 in squats – EGALITES-Covid
Study of management and learning in the control of infection and transmission of the Covid-19 in squats.
Yarrowia lipolytica oleochemicals based on odd chain fatty acids – YaLiOl
One of the promising alternatives that can substitute fossil resources is the use of microbial oils. The engineering of fatty acids with high added value, fermentation on a cheap substrate, and the transformation of oils into products of higher added value are among the strategies that can reduce their production costs. In this context, the YaLiOl project aims to provide oleochemicals based on odd-chain fatty acids from Yarrowia lipolytica.
Modeling hIerarchy between Cardiac descriptors with MAChine learning – MIC-MAC
Representation learning and in particular unsupervised learning enable knowledge discovery and risk stratification in medical databases, but need to solve key issues in terms of data integration. Data descriptors are numerous, can be high-dimensional and of heterogeneous types, and their combination is not trivial. MIC-MAC aims to substantially improve the analysis of medical images on these aspects.
Living in between: Strategies of adaptation and horizons of expectations in Ukraine and Moldova – LimSpaces
Living with uncertainty. Strategies of adaptation and horizons of expectations in Ukraine and Moldova
Using the variability of the human cortical folding pattern to benchmark unsupervised learning – FOLDDICO
There are more than seven billion humans alive today, who have both unique fingerprints and unique cortical folding patterns. Nobody knows whether the variability in these cortical folding patterns has a meaning, or even where these patterns, which appear in utero, come from. It is time for machine learning to try to decipher these folding patterns.
Cracking the role of RFRP3 in seasonal breeding with genome editing. – GMO-Phen
Is the RFRP3 peptide really involved in the central control of seasonal reproduction in sheep and hamsters? Is it possible that these neurons are responsible for the opposite timing of reproduction (autumn for the sheep, spring for the hamster) in these species?
In situ delivery of Interleukin-7 to adjuvant mucosal vaccines – VacMucIL7
We demonstrated that Interleukine-7 (IL-7) is produced in infected mucosae and is able to trigger local expression of chemokines when administered either locally or systemically, leading to massive immune cell homing into targeted mucosae. We hypothesize that locally delivered IL-7 may act as an efficient adjuvant to trigger mucosal immune responses to vaccines.
