Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
General Relativistic Effect in Galaxy Clustering as a Novel Probe of Inflationary Cosmology (GREinGC)

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: Switzerland
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-03-01
End date: 2022-02-28
Duration (months): 72.0
Total project cost (EUR): 1991721.0
EU funding (EUR): 1991721.0
Participants: 1
Project status: CLOSED

Substantial advances in cosmology over the past decades have firmly established the standard model of cosmology. However, the physical nature of the early Universe and dark energy (or inflationary cosmology) remains poorly understood. To resolve these issues, a large number of galaxy surveys are planned to measure millions of galaxies in the sky, promising precision measurements of galaxy clustering with enormous statistical power. Despite these advances in observation, the standard theoretical description of galaxy clustering is based on the Newtonian description, inadequate for measuring the relativistic effects from the early Universe and the deviations of modified gravity from general relativity. In recent years, the applicant, for the first time, developed the linear-order general relativistic description of galaxy clustering and showed that the relativistic effect in galaxy clustering is already measurable at a few-sigma level in current surveys like the Sloan survey and significant detections (>10 sigma) are possible in upcoming surveys. This research proposal will aim to use the subtle relativistic effect in galaxy clustering to develop novel probes of inflationary cosmology. In particular, the applicant will 1) formulate the higher-order relativistic description of galaxy clustering, an essential tool for computing the bispectrum, and 2) investigate the unique relativistic signatures (linear-order and higher-order) in galaxy clustering from the early Universe and dark energy to develop novel probes of isolating those signatures and to quantify their detectabilities in future galaxy surveys. Biases in cosmological parameter estimation, if the standard Newtonian description is used, will be quantified. A comprehensive understanding of inflationary cosmology will have far-reaching consequences, shedding light on new physics beyond the standard model.

Keywords: galaxy clustering,general relativity
Derivation of Effective Dynamics from Microscopic Evolution Equations (DEDMEE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: Spain
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-06-01
End date: 2017-05-31
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

The derivation of macroscopic (effective) equations from microscopic considerations is a long-standing challenge of the mathematical analysis of many-body problems. In this research proposal, we focus on the derivation of (linear or non-linear) kinetic and Hartree-type equations from microscopic quantum models. The innovative and creative potential of the project relies on the combination of rigorous methods of Quantum Field Theory (QFT) and Quantum Statistical Mechanics (QSM). Particular attention will indeed be paid to the macroscopic properties of interacting quantum systems governed by a microscopic dynamics. The latter is a notoriously difficult mathematical problem for which only few rigorous results exist. The proposed research will yield significant outcomes in this field, while developing important knowledge transfers, locally between the researchers Sébastien Breteaux, Jean-Bernard Bru and Miguel Escobedo, and globally between BCAM and TU Braunschweig, the University of Paris Nord, ETH Zürich and the University of São Paulo

Keywords: quantum field theory,quantum statistical mechanics
Assessing positive and destructive leadership on multiple dimensions: How to better understand and improve the behaviour of the people who lead us. (LEADERPROFILE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-11-01
End date: 2020-10-31
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

Leadership is a key factor for success, coherence, and progress in a multitude of compelling contexts. Not only the corporate world, the military, and politics rely on skilful leadership to bundle their potential, unite followers and members, and distil the various centrifugal forces within organisations into success. European societies currently face a climate of insecurity due to various socio-political events and, thus, perceived threat amongst citizens. Such environments have been shown to especially call for strong leadership which ensures stability and safety. However, we currently see multiple expressions of destructive leadership - i.e. a process in which the activities, experiences and/or relationships of an individual are repeatedly influenced by their supervisor in a way that is perceived as hostile and/or obstructive - around the globe, which endanger peaceful and diplomatic solutions and, thus, the success and well-being of society. Destructive, forms of leadership have barely been studied empirically, although it is known to lead to harmful behaviour, including impulsivity and aggression. Destructive leadership behaviour causes severe adverse effects amongst followers and, subsequently, hampers organisational success. It is of utmost importance to advance the theoretical understanding as well as the practical reduction of destructive leadership. To achieve this, we need to i) asses it comprehensively, ii) correctly identify sub-types, and iii) develop personalised interventions which enhance leaders’ self-reflection skills and behaviour. The proposed project will complete all three steps in the context of Executive Education. It will develop multi-dimensional assessment of destructive leadership (including self-report, follower-report, cognitive, behavioural, and biophysiological measures) and enhance existing individualised personal leadership development based on those measures, directly addressing real-world experienced leaders.

Keywords: destructive leadership,positive leadership,narcissism,multi dimensional assessment,cognition,behaviour,bio physiology
Variability's Influence on Language Acquisition (VIOLA)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-01
End date: 2017-08-31
Duration (months): 24.0
Total project cost (EUR): 173076.0
EU funding (EUR): 173076.0
Participants: 1
Project status: CLOSED

How is early language development affected by the number of speakers infants are exposed to in their daily lives? Some infants spend most of their waking time with only one person, while others hear many different speakers. These children receive quite different input. Even if the very same words are spoken, these words are pronounced very differently when not one but multiple people spoke them. Laboratory studies point to a significant effect of such variability in the context of a short experiment: When infants hear multiple speakers, their ability to recognize the same word is hampered, whereas learning sounds and words improves. It remains an open question whether long-term exposure to multiple speakers in daily life helps or hinders language acquisition, as current theories lead to opposing predictions. This project combines experimental approaches with computational modeling. It will shed unprecedented light on how speaker variability in daily life affects language development, a question that has substantial implications for theories of language acquisition and for current diagnostic practices.
Unravelling the mode of action of mucosal adjuvants (MucoVac)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-09-01
End date: 2018-08-31
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 2
Project status: CLOSED

The development of new vaccines against infectious diseases is a major worldwide public health objective. Despite the availability of antimicrobial therapies, vaccines still constitute the most effective means of controlling infections. Adjuvants are crucial for increasing the onset, magnitude, diversity and memory of immune responses to vaccines. Whereas a range of adjuvants is available for conventional vaccination routes, there are currently no mucosal adjuvants for promoting the neutralization of respiratory, gastrointestinal or urogenital infections at the pathogens' port of entry. This proposal will focus on (i) performing innovative research on mucosal adjuvants' mode of action and (ii) catalysing the mid-term development of novel, safe, efficient vaccines for nasal or oral administration. Adjuvants that specifically target Toll-like receptors are efficacious in mucosal vaccination because they trigger mucosal immunity (including secretory antibodies). The host laboratory has a longstanding research programme on the mucosal adjuvant activity of a Toll-like receptor 5 agonist (namely flagellin). Recent results have suggested that cross talk between epithelial cells and mucosal dendritic cells drives flagellin's adjuvant activity. The present project aims at identifying (i) signals from flagellin-stimulated epithelial cells that are of paramount importance in the transactivation of dendritic cells, (ii) dendritic cell factors that condition T and B lymphocytes to produce specific mucosal immune responses, and (iii) unique features of memory responses in the mucosa. This proposal will provide unprecedented opportunities for characterizing mucosal adjuvants. Moreover, better knowledge of the mechanism underlying flagellin's action would not only shed light on the latter's properties but also aid the development of better, safer adjuvants. The overall objective is to generate significant new insights into the field of adjuvants and vaccines.

Keywords: toll like receptor,epithelial cell,dendritic cell,secretory iga,plasmocyte,t follicular helper cell,memory response
Out of autoclave technologies for frame and shear tie of Regional Aircraft (COFRARE 2020)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Italy,Spain
Call: Full scale innovative composite frames and shear ties for Regional Aircraft Fuselage barrel on-ground demonstrators. (H2020-CS2-CFP07-2017-02, 2017)
Start date: 2018-11-01
End date: 2021-12-31
Duration (months): 38.0
Total project cost (EUR): 2579803.75
EU funding (EUR): 2089053.88
Participants: 3
Project status: CLOSED

The main approach to achieve the proposed targets will be to focus on innovative concepts and manufacturing technologies such as liquid resin transfer molding (RTM) and thermoplastics compression molding processes. In this sense there have been a lot of researches carried out in recent years and still nowadays on-going are proving the technical feasibility of resin transfer molding and thermoplastic material-based processes to manufacture structural aeronautical components, but they need to be up-scaled at industrial level, upon checking the technical, economic and environmental impact in real productive conditions. One step forward, specific for frames for regional aircraft COFRARE 2.0, in the project several studies are being carried out

Keywords: resin transfer moulding,thermoforming
AssAZAx: Innovation Methodology for Ground Subsidence Monitoring (The Assessment of small displacements Along Zed Axis) (AssAZAx)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: France
Call: European SME innovation Associate - pilot (H2020-INNOSUP-02-2016, 2016)
Start date: 2017-09-01
End date: 2018-08-31
Duration (months): 12.0
Total project cost (EUR): 108462.5
EU funding (EUR): 108462.5
Participants: 1
Project status: CLOSED

Efficiencies of European Electric Power (EEP) lines depend of the continuity and stability of the Transmission and Distribution (T&D) network. Nowadays, the only monitoring of the power grid is qualitative and done visually through few periodic staff inspections. This poor monitoring is time consuming, expensive for both electric companies as well as citizens, present delays in situation of natural crisis, and consequently is not efficient. So it’s of prime importance to settle a European very precise and low cost automatic sensor for monitoring the stability of the electric grids, which does not exist on the market. So Alphageomega SME invented and realised a new innovative sensor called ReCETT (Remote Control of the Electrical Transmission Tower) which aims to quantitatively determine and monitor automatically the stability of EEP towers as well as their surroundings and associated infrastructures, and transmit sensor information in real time to end-users. This is done through a very precise, small, adaptive, low cost, robust, reliable, wireless, and real time connected ReCETT automatic monitoring displacement sensor. One remaining scientific problem to characterize any displacement is to individualize both rotation and translation from 2 perpendicular inclinometers and L1 RTK GNSS to achieve the assessment of small displacements along Z axis. Moreover, we needed to develop the associated software to get such calculation whatever the location and the position of the ReCETT sensor within the deformation area. We therefore look for an Innovation Associate (Postdoc Fellow) with good geodesist background in order to solve rotational and translational matrix calculations and able to compute and develop an associated software. Finally, as the Alphageomega ReCETT sensor fits well with the industrial needs (ERDF, Terna...), the Innovation Associate development will give to Alphageomega strong potentialities on the European and Worldwide deformation monitoring market.

Keywords: critical infrastructures,remote control power grid,ground subsidence,z axis assessment,geodesist innovation associate
The structural biology of TrkB-BDNF signalling (STrkB)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-07-01
End date: 2019-06-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 3
Project status: CLOSED

Neuronal circuit development involves multiple stages that are regulated by neurotrophic factors. One of the key players, the brain-derived neurotrophic factor (BDNF), is involved in the development and functional modulation of circuits by promoting neuronal survival, synaptogenesis, synaptic transmission and synaptic plasticity. BDNF acts by binding to the tropomyosin-related kinase receptor B (TrkB), a type-I membrane protein, to trigger downstream signaling. However, the molecular architecture of this complex and the mechanism of signal propagation across the membrane remain unknown The key aim of this project is to define in structural and mechanistic terms the steps leading to TrkB activation upon BDNF binding. I will use X-ray crystallography to determine the structure of the extracellular TrkB-BDNF complex, and validate this model by mutagenesis and biophysical techniques. Single particle cryo-electron microscopy will be used to solve the full-length TrkB-BDNF complex structure. To validate and relate these structures to signaling, structure-based hypotheses will be tested in live cells by fluorescence imaging. Furthermore, to exploit the structural information gained above, I will engineer BDNF molecules with improved physico-chemical properties as well as generate nanobodies against the TrkB extracellular region. These will be screened by biophysical, structural and cellular approaches to evaluate their (i) binding mode and affinity and (ii) ability of promote TrkB activation. Subsequently, collaborative studies in mouse models will test whether these molecules behave as efficient BDNF mimetics in vivo. This multidisciplinary approach will enable me to define determinants of the TrkB-BDNF complex formation, its activation mechanism, and to use this information towards providing a platform for the design of novel tools that target and modulate this crucial signaling pathway, to promote synaptic repair and functional recovery in damaged neuronal circuits.

Keywords: brain derived neurotrophic factor,synaptic tropomyosin related kinase receptor signalling,x ray crystallography,membrane protein cryo electron microscopy,fluorescence lifetime imaging microscopy
Automated Trade Execution Engine for Power Markets (AIx)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Slovenia
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-09-01
End date: 2019-02-28
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

In this project, we are going to develop Automated Trade Execution Engine for intra-day power markets. When developed, it will provide fast, cheap and reliable market access to small renewable generators, independent suppliers and trading companies without the need for a costly intra-day trading team that operates 24/7/365. The solution is self-learning meaning that it can iterate over years and years of market data to induce the best trade execution strategies. It is significantly faster than manual traders - it can react to market changes in milliseconds, and therefore, it significantly outperforms manual trade execution. It is extremely scalable - the same software solution can be used across most European markets without the standard proportional increase in costs. Automatic trade execution is already flourishing in financial markets with 85% of trades being executed automatically in contrast to 0% in power markets and the aim of this project is to unlock the value in this multibillion market opportunity.
Offshore Wind Energy Cost Reduction by an Innovative Floating Met Mast Platform (FloatMastBlue)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Cross-cutting marine and maritime research
Action type: SME instrument
Countries involved: Greece,Greece,United Kingdom
Call: Supporting SMEs efforts for the development - deployment and market replication of innovative solutions for blue growth (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-12-01
End date: 2021-07-31
Duration (months): 44.0
Total project cost (EUR): 2926525.0
EU funding (EUR): 2048567.51
Participants: 3
Project status: CLOSED

FloatMast is a floating platform that performs the best wind data measurements for the most promising and advanced Blue Energy activity, Offshore Wind Parks (OWPs). These wind measurements are vital for the cost benefit analysis of OWPs as they are used in the estimation of the annual income. Moreover, the wind measurements are also critical to the definition of the Operation and Maintenance costs as they are used in the design specification of the OWP’s turbines, towers and foundations. The wind measurements collected by FloatMast are according to the highest industry standard (IEC 61400-12-1) and provide the greatest net benefit to the Developers of OWPs. It can perform wind measurements at a 70% lower cost, by combining the best features from the two existing solutions: the meteorological mast and the Lidar remote sensor device on a stable floating platform. Furthermore, it is re-usable and provides the added value of being re-deployed in other locations of interest. It can be used at all stages of the life cycle of the OWP, from the design phase to the development and operational phase and until the decommissioning phase, twenty years later. Moreover, the platform can perform multi-purpose measurements as it can incorporate oceanographic instruments and environmental sensors, providing a fully integrated solution for a complete monitoring of the OWP site. The innovation has been developed by two Greek SMEs, it has been patented and certified, tested in a tank test at a 1:25 scale model, constructed at 1:1 physical scale, launched to the sea and conducted a series of tests with perfect compliance. The design and hydrodynamic behavior of the platform have been proven and the next stage involves enhancements and upgrades. Finally, the platform must undergo a demonstration phase in the operational environment in order to provide the needed verification of its operational capabilities and advance the already 2,3 m Euros investment to the commercialization phase.

Keywords: blue energy,blue growth,offshore,wind measurements,wind resource assessment,lidar,met mast