Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Miniaturised Metabolomics Platform for Microvascular Research (METAFORA)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Netherlands
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-01
End date: 2018-09-30
Duration (months): 24.0
Total project cost (EUR): 177598.8
EU funding (EUR): 177598.8
Participants: 1
Project status: CLOSED

Preventing and treating progressive microvascular loss (i.e. rarefaction) is a major challenge in cardiovascular medicine. Microvascular disease is a multifactorial disease with no effective treatment. Long-term exposure to adverse metabolic and haemodynamic conditions such as hypertension, obesity and diabetes can cause microvascular destabilisation, loss of tissue capillaries, and eventual organ failure. Interestingly, not all diabetic patients develop kidney failure. The missing link to developing effective strategies for treating multifactorial diseases, including microvascular disease, is detailed mechanistic insight into the relationship between disease pathogenesis at the organ/cellular level at the systemic/organism level. This project, METAFORA, aims to develop novel and analytical technologies to allow a new approach to understand the pathology of microvascular disease. METAFORA will develop a miniaturized metabolomics workflow to study metabolic pathways in an in-vitro microfluidic 3D microvasculature platform with organotypic functionality (the so-called organ-on-a-chip) to create personalised in-vitro models based on patient-derived human cells. This platform will enable the assessment of biochemical disease processes at the cell/organ level in the ‘whole-patient’ context by perfusing the patient’s own blood through the vasculature model. METAFORA will use and optimize a novel separation and preconcentration method, depletion zone isotachophoresis, for the miniaturised analytical platform, which will be combined with mass spectrometry for metabolite profiling.

Keywords: miniaturization,organ on a chip,microvascular disease
Nanotube Mechanical Resonator, Spin, and Superfluidity (NaTuRe)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Spain
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2017-01-01
End date: 2022-09-30
Duration (months): 69.0
Total project cost (EUR): 2503459.0
EU funding (EUR): 2503459.0
Participants: 1
Project status: CLOSED

Mechanical resonators based on carbon nanotubes are truly exceptional sensors of mass and force. In the last years, my group revealed these outstanding figures of merit of nanotube resonators. Here, the project NaTuRe will take advantage of these sensing capabilities to study physical phenomena in fascinating regimes that have not been explored thus far. Specifically, I will address three directions with major scientific interests: 1- I propose to perform electron spin resonance (ESR) measurements on single molecules using nanotube resonators. The goal is to see whether nature can provide molecular electronic spins endowed with long dephasing time. For this, we will measure molecular spins in a regime where the magnetic noise of the environment is reduced to an unprecedented level. In case of success, this work could open avenues in quantum science by allowing experiments not possible with the electronic spins of nitrogen-vacancy centres in diamond. 2- My team will carry out nuclear magnetic resonance (NMR) measurements on single nuclear spins. We will also perform magnetic-resonance force microscopy in order to image these individual nuclear spins. Achieving the objectives proposed here will be an unprecedented success in magnetic resonance imaging (MRI). 3- NaTuRe proposes a completely new experimental approach to investigate superfluidity. We will use a nanotube mechanical resonator to probe the superfluidity properties of helium-4 layers adsorbed onto the suspended nanotube. Our experimental approach will allow us to study various quantum phenomena in superfluidity of considerable interest and from a radically new perspective. NaTuRe is a highly-interdisciplinary project with possible implications in quantum science, opto-mechanics, nano-science, structural biology, and low-temperature physics.

Keywords: nanotube,single electronic spin,single nuclear spin,nanoscale superfluidity
The MAgnetic field in the GALaxy, using Optical Polarization of Stars (MAGALOPS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Netherlands
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-09-01
End date: 2025-08-31
Duration (months): 84.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

What makes our Galaxy’s ecosystem so fascinating is the complex interactions between its components: stars, gas, dust, magnetic fields, and cosmic rays. Of these components, the Galactic magnetic field (GMF) may well be the most enigmatic. Only partially observable through indirect means, its study relies heavily on modeling, almost exclusively using line-of-sight integrated radio-polarimetric data. Although much has been learned, many questions are still unanswered especially about the turbulent, small-scale field component and out-of-plane field. The crucial innovations proposed here are large independent data sets with 3D (distance) information – which can only be provided by stars polarized due to differential absorption by interstellar dust, with known distances – and more advanced Bayesian statistics which allows including prior knowledge and enables quantitative model comparison. I propose to use 2 new polarization surveys in the V (visual) band, resulting in polarimetry of millions of stars across the southern sky. With distance information provided by the GAIA satellite, this improves the current data situation by 3 orders of magnitude. We will test GMF models against all available data, employing a Bayesian inference software package which we are developing. In the process, we will produce the first 3D all-sky (out to absorption limits) dust distribution consistent with both UV/optical/near IR absorption and optical polarization. This research will result in a next-generation GMF model that includes all observational GMF tracers and can use informative priors. It will allow mapping out interstellar magnetized turbulence in the Galaxy, instead of providing averaged parameters only, and understanding the interplay between the local GMF, gas and dust. Its legacy is a 1000x increased stellar polarization catalog, an all-sky 3D dust model, a bayesian sampler for GMF models, and a superior GMF model for use in cosmic ray modeling or foreground subtraction.

Keywords: galactic magnetic fields
Control of amyloid formation via beta-hairpin molecular recognition features (BETACONTROL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-06-01
End date: 2023-02-28
Duration (months): 69.0
Total project cost (EUR): 1920697.0
EU funding (EUR): 1920697.0
Participants: 1
Project status: SIGNED

The aggregation of proteins into amyloid fibrils is involved in various diseases which place a high burden on patients, families, caregivers, and healthcare systems, including Alzheimer’s disease, Parkinson’s disease and type 2 diabetes. While the therapeutic potential of the inhibition of amyloid formation and spreading has been recognized, there is a lack of effective strategies targeting the early steps of the aggregation reaction. In BETACONTROL, I want to establish a structure-guided approach to the control of amyloid formation and spreading. I will develop small molecule and polypeptide-based ligands that interfere with the initial phases of amyloid formation and thereby suppress any toxic oligomeric or fibrillar assemblies. The ligands will target beta-hairpin molecular recognition features, which I found to be readily accessible in disease-related amyloidogenic proteins. Targeting beta-hairpins enables retardation of protein aggregation by substoichiometric amounts of the ligand, affording inhibition of amyloid formation at low compound concentrations. As the strategy addresses the common propensity of amyloidogenic proteins to adopt beta-structure, it will be applicable to a wide range of proteins associated with various diseases. BETACONTROL will yield molecular-level insight into the mechanistic basis of amyloid formation and spreading. Furthermore, it will elucidate the significance of beta-hairpins as molecular recognition features in intrinsically disordered proteins (IDPs) and highlight the applicability of these features as targets for interference with protein-protein interactions of IDPs. Ultimately, BETACONTROL will provide a novel therapeutic approach to a range of devastating diseases.

Keywords: amyloid,intrinsically disordered proteins,protein engineering,molecular recognition
High Quality Fuel Production System from Plastics, Industrial Oil and Refinery Residues. (Kurata Systems)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Spain
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2015, 2015)
Start date: 2015-07-01
End date: 2015-10-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Kurata Systems Process represents an alternative production method of high added value fuels from residues such as plastics, used industrial oil and refinery residue. We obtained diesel C and other fuels that meet the legislation specifications. Although we have an adequate quality fuel to introduce into the market, the limitation in our productivity scale keeps off the commercialization of our fuels. Based on our pilot-plant results, the objective of this project is to scale-up a continuous process with three different processing lines for each feedstock (plastic, industrial oil and refinery residue) in a new plant. This project involves an alternative source of fuel, reducing energy supply risks with the corresponding dependance of other countries. Additionally Kurata is involved as a waste management project.

Keywords: energy recovery,fuels,waste management
Evolution of white dwarfs with 3D model atmospheres (WD3D)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-06-01
End date: 2021-11-30
Duration (months): 66.0
Total project cost (EUR): 1454650.0
EU funding (EUR): 1454650.0
Participants: 1
Project status: CLOSED

The vast majority of stars will become white dwarfs at the end of the stellar life cycle. These remnants are precise cosmic clocks owing to their well constrained cooling rates. They provide one of the most sensitive tests of when baryonic structure formation began in the Universe. These compact matter laboratories also unravel the mass-loss in the post-main-sequence evolution and establish critical constraints for galactic evolution models. I will design a robust theoretical framework to shed new light on the interior structure of white dwarfs, associate them with their progenitor stars, and enhance their potential as probes of fundamental astrophysical relations. I have recently computed the first 3D simulations of pure-hydrogen white dwarf atmospheres including full radiation-hydrodynamics. These improved calculations demonstrate that the widely used 1D model atmospheres are unable to correctly solve the thermodynamic stratification of convective layers, and therefore lead to incorrect masses and cooling ages. My ambitious goal is to expand the 3D simulations to stellar remnants of all atmospheric compositions and connect these surface calculations to interior structure models. The project is timely since my improved theoretical tools will be essential to analyse the forthcoming Gaia sample, where the number of known white dwarfs is expected to increase by a factor of ten. I will use my theoretical framework with Gaia data, supplemented by other surveys and dedicated follow-up observations, to extract an unprecedented wealth of information from white dwarfs. I will set the standards for the star formation history and initial mass function in the Milky Way, as well as constrain the fundamental mass-radius relation for white dwarfs. I will also study evolved planetary systems that are currently being accreted in the convection zone of their white dwarf hosts, providing direct and unique insight into the bulk composition of exo-terrestrial material.

Keywords: white dwarfs,convection,radiation hydrodynamics,spectroscopy,model atmospheres,stellar structures
Inequality - Public Policy and Political Economy (IneqPol)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: Switzerland
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-02-01
End date: 2023-07-31
Duration (months): 66.0
Total project cost (EUR): 1008665.0
EU funding (EUR): 1008665.0
Participants: 1
Project status: SIGNED

Over the past decades, many developed countries have seen considerable increases in income and wealth inequality. Political and economic arguments for and against offsetting this rise in inequality have been put forward. This research program aims at informing this debate by developing new models that capture these trends and by analyzing their optimal policy implications, both theoretically and quantitatively. The goal is to bring together approaches from public economics, labor economics, macroeconomics, and political economy to explore whether rising inequality necessitates institutional responses and, if so, which ones. This project will shed light on this question from the following three related angles: (1) The changing nature of labor markets and its implications for inequality and tax policy. This part will focus on technological progress (e.g. the replacement of routine tasks) and shifts in the sectoral composition of the economy (e.g. the rise of finance) and what this means for the taxation of labor incomes, profits, and the desirability of basic income policies. (2) The intergenerational dynamics of inequality and the design of tax and public spending policies to promote economic mobility. We will develop a normative framework for optimal policies that balance both equality of opportunity principles and efficient parental sorting based on preference heterogeneity over public spending (e.g. on schools). (3) Wealth inequality and its implications for the political economy of tax policy. This part will incorporate capital taxation into the analysis and explore how it can help promote political stability, both when equilibrium taxes depend on the distribution of wealth in society and, conversely, when political influence correlates with wealth. This research project aims both to develop new theoretical tools and to implement them empirically, with an emphasis on the implications for the design of real-world tax policies.

Keywords: tax policy,wealth and income inequality,labor markets,intergenerational mobility,political economy
Packaging Analytical Monitoring System for Heat Sealed Packages (PAM 2)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2020)
Start date: 2021-04-01
End date: 2023-09-30
Duration (months): 30.0
Total project cost (EUR): 1162250.0
EU funding (EUR): 813575.0
Participants: 1
Project status: SIGNED

The seal integrity of packages is crucial to assure product viability and shelf life. The break of the seal can lead to food contamination, degradation and leaks, causing economic losses and brand reputation damage. There is no method to quickly detect sealing flaws or understand why they have occurred. 3% of heat-sealed packages are defective. The current methodology is sampling, which generates waste, products recall, unsafety and unreliability. We have developed the PAM2 System, Packaging Analytical Monitoring system, a disruptive quality control machine that analyses all the products in a batch via 3D thermal imaging and advanced real time algorithms to provide complete in-line monitoring of the sealing process. PAM2 screens 100% of the products in a non-destructive manner without slowing the line capacity. Our Deep Learning algorithms collect precise data to increase the understanding of the process, improve quality, allow operators to detect and amend issues in real-time and detect patterns, such as those cases in which the sealed area is too close to the limit set by the user. In 2016, we founded Yoran Imaging to start developing the PAM2 System. We have already performed Proof-of-Concept of our prototypes in major food companies, received the CE mark and have sold machines. Currently, we are pursuing the implementation of Deep Learning in order to become an Industry 4.0 enabler platform in the primary packaging area. We are set to serve within the food manufacturing industry, with around 300,000 food and drink manufacturing companies in Europe contributing towards the sectors total turnover of €1,109 billion with a value-added total of €230 billion. Moreover, the packaging machinery industry within Europe has over 6,000 enterprises producing packaging, which accounted for €13.5 billion in 2017.
Future propulsion and integration: towards a hybrid-electric 50-seat regional aircraft (FUTPRINT50)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Russian Federation,Belgium,France,Netherlands,United States,Netherlands,United Kingdom,Portugal,Brazil
Call: Future propulsion and integration: towards a hybrid/electric aircraft (InCo flagship) (H2020-MG-2019-SingleStage-INEA, 2019)
Start date: 2020-01-01
End date: 2023-06-30
Duration (months): 42.0
Total project cost (EUR): 7634297.5
EU funding (EUR): 4727797.5
Participants: 15
Project status: SIGNED

FUTPRINT50 addresses the need to accelerate disruptive technologies in aviation to ensure Carbon Neutral growth commitment from FlightPath2050. It will develop tools, technologies and aircraft level analysis for key hybrid-electric technologies supporting the entry into service of a 50 seat class aircraft by 2035/2040. This type is at the locus of convergence of timeframe and technology, promising to open with improved costs new routes for point 2 point connection of smaller, interior cities and villages at lower infrastructure costs than rail or road transportation, fulfilling aviation’s higher goal of connecting people for the creation of wealth and societal good. FUTPRINT50 will focus on energy storage, energy harvesting and thermal management. Besides advancing the state of the art of these technologies, it will research and develop MDO design methodologies whilst considering uncertainty, models and tools to evaluate new configurations and integration at system and aircraft level. To attain the ambitious vision of an entry into service aircraft by 2035/2040, FUTPRINT50 will develop roadmaps to align future research on technology development but also the regulatory side, striving for market, technology and legal readiness for entry into service. For this FUTPRINT50 will use research developed within the project but also extend itself to other complementary projects and initiatives, besides engaging the main stakeholders in comprehensive workshops. Furthermore, open-source aircraft design tools, hybrid-electric aircraft designs, and reference data sets will be generated and shared openly with the community to accelerate the development of future hybrid-electric aircraft. Finally, FUTPRINT50 will be developed by an international consortium of diverse and highly competent partners, abridging the EU with USA and Brazil and supported by an Advisory Board including EASA and ensuring connection with Canada.

Keywords: hybrid electric regional aircraft,energy harvesting,energy storage,hybrid electric propulsion roadmap,regulatory framework