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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/
Dataflow Algorithm aRchitecture co-design of SKA pipeline for Exascale RadioAstronomy – DARK-ERA
The exascale radio telescope Square Kilometre Array (SKA) [1] will require supercomputers with high technical demands. The Science Data Processor (SDP) pipeline in charge of producing the multidimen- sional images of the sky will have to execute in realtime a complex algorithm chain with data coming from telescopes at an incredible rate of several Tb/s and limited storage possibilities. The SDP will also have to be as green as possible with an energy budget of only 1 MWatt for 250 Petaflops.<br /><br />The SDP supercomputer will be based on a standard HPC system combined with FPGA or application-specific architectures like GPU or the manycore Kalray Massively Parallel Processor Array (MPPA). One crucial challenge is to assess the performance both in time and energy of new complex scientific dataflow algorithms on not-yet-existing complex computing infrastructures. It will be hardly possible without efficient co-design methods and rapid prototyping tools.
Death and Grief in COVID-19. Grief and Mental Health of relatives in a restrictive situation of supporting end of life and rites. – COVIDEUIL
This prospective study is part of the «Ethics and social dynamics« theme. It evaluates the effects of the Covid-19 epidemic and of confinement on the mourning of a loved one in France from March 2020.
Decentralized Knowledge Graphs – DeKaloG
Knowledge Graphs (KGs) penetrate our everyday life, telling us what to buy, what to learn, etc. Major companies maintain Knowledge Graphs to power voice assistants and search engines. However, access to these KGs is restricted and the way they are built and maintained is not transparent. This restricted access and the lack of transparency do not allow to build new KGs or to build on top of them. DeKaloG encourages the growth of a public and decentralized web of Knowledge Graphs.
Deciphering plant-microbiome interactions to enhance crop defense to bioagressors
champs (50 pour chaque espèce cultivée). Sur l’année 2021, les 50 parcelles de colza ont été mieux caractérisées
Deciphering the Cell Senescence Code to Improve Healthspan – S-ENCODE
Senescence is a cellular response to nonlethal genotoxic and oncogenic stress Cellular senescence is a double-edged sword process playing beneficial roles during embryogenesis, wound healing, and tumor suppression while contributing to age-related diseases. Consistently, senescent cells are enriched in the affected tissues of these diseases. Importantly, senescent cell elimination in animals prevents the appearance of age-related diseases.
Deciphering the biophysical basis by which glycosaminoglycans control growth factor signaling during development: a biomimetic approach – GlyCON
Deciphering the biophysical basis by which Glycosaminoglycans CONtrol growth factor signaling during development: a biomimetic approach
Deciphering the cell heterogeneity and the spatial distribution of pathogens in food matrices in interaction with microbial communities – PathoFood
For microbial risk management, current regulatory affairs provide food safety recommendations and rules essentially based on a threshold, which does not take into account the heterogeneity of the pathogen population within the complex environment of food matrices. Phenotypic heterogeneity at single-cell level is an intrinsic feature of foodborne pathogens to be considered for controlling food safety and develop relevant quantitative microbial risk assessment.
Deciphering the gene regulatory network logic underlying whole-body regeneration – RENEW
Regeneration varies drastically between species, from poorly regenerating mammals to whole-body regenerating (WBR) marine organisms, such as cnidarians. Determining the gene regulatory networks (GRN) underlying WBR in cnidarians is thus a global and powerful approach to reveal similarities and differences with mammals, and how these have evolved. Nevertheless, comprehensive regeneration GRNs, especially from non-bilaterian animals with WBR capacities (i.e. cnidarians) are in their infancy.
