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Cell wall “clicking” as a selective weapon against Streptococcus pneumoniae – PneumoClick
Faced with the emergence of forms of resistance, the project proposes a new solution to kill only Streptococcus pneumoniae. It is based on the use of the Click reaction and the bacterium ability to metabolise modified metabolites with clickable functions.
Towards exoskeleton-human symbiosis: investigating how humans interact with an upper-limb robotic exoskeleton – EXOMAN
The use of robotic exoskeletons is promising in the fields of health and work ergonomics, but the lack of understanding of human motor control in interaction with this type of device remains a factor limiting their effectiveness.
Nanostructured Materials for Advanced Na Solid-sTate battERies – Na-MASTER
The main objective of this project is to develop by the synergic effect of both experiments and theory a full Sodium All Solid-State Battery (Na-ASSB) with superior performances in order to new solutions for electrochemical energy storage devices (cheaper, safzer, ...)
Thermal Deformations of Concrete: predictive modeling for tailored design and adaptation – THEDESCO
Modeling strategies that can describe the peculiar thermal response of cement-based materials from the underlying physics will represent an advance in the field by enhancing the confidence on the predictions of the performance and durability of cement-based materials. Also, the knowledge obtained from modelling can be used to advance in the design cement-based materials with tailored thermal properties, following the example of the research on other micro- and mesoporous materials.
Positrons and Charge Carrier Trapping Centers in Halide Perovskites – TRAPPER
A critical challenge in perovskite application to photovoltaic (PV) is the stability of high PV performance during PV device operation and its dependence with environment.
Research on the Impacts of Wind Turbine Noise on Humans: sound, perception, health – RIBEolh
Wind energy is expanding rapidly in France as elsewhere in the world, but the population is worried about the health impacts of wind turbine noise. The annoyance is often described as resulting from infrasounds (IS) whereas the acoustic pressures of IS emitted by wind turbines would be below the perception thresholds. However, the inaudibility of IS does not exclude their action on the inner ear or the central nervous system.
Metabolic interactions between adipocytes and trypanosomes, a new paradigm for trypanosomiases – AdipoTryp
Since adipocytes excrete large amounts of glycerol from lipolysis and glycolysis, we hypothesised that interactions between adipocytes and extravascular trypanosomes, in the mammalian hosts, may confer a selective advantage to the parasites in the skin the adipose tissue. In addition, the unique glycerol-to-glucose preference developed by insect trypanosomes may have a crucial role for the growth and/or development of the parasite in its insect vector and possible in the mammalian hosts.
Adapting linguistic representations during social interactions: a dynamic view of spoken human communication – REaDY-SPOK
The purpose of the project is to examine how spontaneous interactive cues conveyed during social interactions contribute to learning and knowledge co-construction. Even though convergence and feedback can be described as reflecting the speakers’ attempts to improve mutual comprehension, it is still unknown whether speakers adapt their linguistic representations after an interaction.
A One health study of Monkeypox: Human infection, animal reservoir, disease ecology and diagnostic tools – AFRIPOX
The understanding of monkeypox still has many grey areas: the animal reservoir is not identified, the risk factors for zoonotic and human-to-human transmission, and the ecological conditions favorable to its emergence are not fully described. Our multidisciplinary project will be grafted on the national surveillance process of monkeypox and will allow a holistic approach of this disease through multiple complementary approaches.
ARTificial Intelligence-based Cloud network control – ARTIC
In recent years, computer networks have become more complex with an increasing diversity of devices and increased traffic dynamics. One solution to deal with this situation is Knowledge Defined Networking (KDN), where machine learning (ML) and artificial intelligence (AI) are combined with SDN / NFV and network monitoring. According to this paradigm, we aim to develop an AI framework capable of learning new efficient network control algorithms.
