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Collective excitations in topological matter – Colector
One of the most promising ways improve the efficiency of THz and MIR plasmonic devices is to study new materials. In particular, Dirac matter has a great potential because of its strongly non-parabolic or linear band structure, associated with the semi-relativistic kinematics of the charge carriers. However, it turns out that the influence of the non-parabolicity of the bands and of the Diracness of the electrons on collective excitations has never been carefully studied until now.
Femtosecond laser-induced integrated photonic architectures for infrared fluorescent microscopy standards – ArchiFLUO
Femtosecond laser-induced integrated photonic architectures for infrared fluorescent microscopy standards
Integration of spinal sensorimotor information in the cerebellar cortex during locomotion – SpinoCereLoco
Our unique approach allows us to break the cycle of the motor command to sensory stimulation into individual components and observe the individual impact of each component on the cerebellum. This will allow us to test the hypothesis that the cerebellar cortex of mammals adapts to cancel the effect of any sensory stimulus that consistently accompanies a motor command and provide an understanding of those mechanisms.
Single Nanopore for Analysis of Early Stages of ß-Amyloid Aggregation Leading to Alzheimer’s disease – NANOoligo
Developing tools for amyloid fibrils analysis at early stage able to discriminate the different population of oligomers and protofibrils and to evaluate the impact of promoters or inhibitors through amyloid shape analysis is particularly important to understand the external factor on Alzheimer disease. Our project aims at proposing a new analytical method based on nanopore technology to study the Aß42 amyloid fibril growth.
Secure Software using Whitebox Technology – SWITECH
Secure Software using Whitebox Cryptography
Environmental ePIdemiology of COVID-19 in French Guiana: combining eDNA and biogeography to forecast future epidemiological waves – EPI-COV
The speed of the spread of Covid-19 underscores the need to improve our understanding of the epidemiological dynamics of SARS-CoV-2 in the population. Wastewater analysis is a sentinel tool to assess the scale and evolution of the epidemic, but also to anticipate an influx of cases in hospitals or health centers. The project also aims to identify the diversity of variants circulating in Guyana.
Ecological consequences of Temperature induced Body size shifts – EcoTeBo
A common phenotypic response to climate change is the reduction in body size of ectotherms with temperature — the hotter it is, the smaller they get—. However, the ecological consequences of these body size changes on communities remain largely unexplored.
Genetic and Mechanical Control of Myoblast Fusion. – MyoFuse
Here, we will investigate the mechanisms whereby TGFß signaling exerts its inhibiting action on fusion and its possible interplay with cellular and environmental mechanical properties. In addition, we will determine whether mechanical constraints at the cell membrane and in the microenvironment mediate and/or synergize with cell-cell signaling to inhibit fusion in vertebrates.
Federated statistical learning for new generation meta-analysis of large-scale and secured biomedical data – FED-BIOMED
Federated Statistical Learning for New Generation Meta-Analyses of Large-scale and Secured Biomedical Data
Data integration from multiprobe sensor networks to assess risk scenario’s at volcanic hydrothermal ecosystems – DIRE
Our objective is to map fluid ascent pathways at an active volcanic, hydrothermal system and relate their variations to temporally evolving surface heat flux distributions. In that way we aimed to assess the environmental impacts during degassing crises at such volcanic systems, using the island of Vulcano (Aeolian Islands, Italy) as our target site/
