Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
MeRIT - Maximising Renewable Energy Integration (MeRIT)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Ireland
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2014, 2014)
Start date: 2015-03-01
End date: 2015-05-31
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Esave has designed a Hybrid Energy Storage Solution which uniquely integrates flywheel kinetic energy storage, battery energy storage and power electronics technologies. MeRIT is ultra-fast responding, provides greater reliability, longer lifecycles, is environmentally sustainable, safer and offers overall best total cost of use (TOC) than any other solution. The overall objective of the MeRIT project is the commercialization of a new Hybrid Energy Storage System that ‘maximizes renewable energy integration’ through provision of fast-responding ancillary services, dramatically reduces the 60% - 70% capacity losses of wind and solar generation due to intermittency and no storage; it also reduces curtailment losses through synthetic inertia. MeRIT users will benefit from new ancillary services revenues, additional capacity revenues, reduction in curtailment losses and compliance with new grid code modifications. The Esave management team is highly entrepreneurial and has extensive experience and skills in design and manufacture of power electronics, development of computer systems, software, provision of electrical power quality services and consultancy. The objective of the Feasibility Study is to (1) Develop cost and payback financial models for the integration of MeRIT with wind and solar installations internationally. (2) Complete the planning process for the installation of a Demonstration System which will be installed on a windfarm in Ireland, controlled, monitored and validated by EirGrid, Ireland’s Transmission System Operator. MeRIT is at the stage of TRL5 and an operational prototype system is ready for installation. Esave is partnering with Mainstream Renewable Power, a major wind and solar developer/operator, who will facilitate the installation on a windfarm that they operate. The Energy Research Centre, University College Dublin - Energy Institute, is also partnering and assist in renewable integration expertise and system modelling.

Keywords: renewable energy integration,wind and solar generation,ancillary services,curtailment mitigation,capacity reserves,flywheel,battery energy storage,grid balancing,power electronics
Epilepsy Controlled with Electronic Neurotransmitter Delivery (EPI-Centrd)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: France,France
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-03-01
End date: 2022-02-28
Duration (months): 60.0
Total project cost (EUR): 1636250.0
EU funding (EUR): 1636250.0
Participants: 2
Project status: CLOSED

Many efficient drugs have been designed to treat neurological disorders, but have failed in the clinic because they were toxic, could not cross the blood-brain barrier, and/or had deleterious side effects in healthy regions. I propose a conceptual breakthrough to solve these three issues, with minimally-invasive organic electronic ion pumps (OEIPs) to provide targeted treatment where and when it is needed. I will use epilepsy as the disease model because of its high rate of drug-resistance (30%) and will offer concrete opportunities for clinical transfer of such state-of-the-art technology. The clinical problem: Resective surgery is frequently the last option available to a patient with drug-resistant epilepsy (> 1 million persons in the EU). However, surgery fails in 30% of the cases and can have deleterious consequences with severe postoperative neurological deficits (impaired motor function, speech and memory). Furthermore, some cases of epilepsy are simply untreatable surgically because resective surgery would leave unacceptable damage to core functions. Clearly, a new therapeutic approach is needed when neurosurgery is not possible or deemed too risky. The OEIP solution: As I have demonstrated, OEIPs combine state-of-the-art organic electronics and pharmacology to control epileptiform activity in vitro by directly delivering inhibitory neurotransmitters on-demand. I additionally demonstrated that thin-film flexible organic electronics can be used to create minimally-invasive depth probes for implantation which significantly reduced tissue damage compared to standard rigid implants in vivo. I will integrate OEIPs on such probes creating devices which will have both the high-quality recordings provided by the organic electrodes for electrophysiological seizure detection and the molecular delivery capability of the OEIP for seizure intervention. The devices will be a closed-loop system to detect seizure onset and intervene in the affected brain region.

Keywords: bioelectronics,flexible biopolymer,brain medical device,epilepsy
New Approach to Reactor Safety ImprovementS (NARSIS)

Framework: Horizon 2020 — Euratom
Programme: Nuclear fission and radiation protection
Theme: Nuclear safety
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Germany,Italy,Austria,Poland,Croatia,Finland,Poland,Slovenia,Slovenia,France,France,France,Netherlands,Netherlands,United Kingdom
Call: Continually improving safety and reliability of Generation II and III reactors (NFRP-2016-2017-1, 2016)
Start date: 2017-09-01
End date: 2022-02-28
Duration (months): 54.0
Total project cost (EUR): 5493096.35
EU funding (EUR): 4965472.14
Participants: 22
Project status: CLOSED

Probabilistic Safety Assessment (PSA) procedures allow to better understand and estimate the likelihood of the most causes prone to initiate nuclear accidents and to identify the most critical elements of the systems. However, despite of the remarkable reliability of current procedures, the 2011 Fukushima Daiichi accident highlighted a number of challenging issues with respect to their application and validity of their results. From this nuclear disaster the upgrading of the current methodological framework appeared to be necessary in areas such as cascading/conjunct events characterization, fragility analyses and uncertainties treatment. New developments in those areas would even enable the extension of their use in accident management. Based on recent theoretical progresses, the NARSIS project aims at making significant scientific updates of some elements required for the PSA, focusing on external natural events (earthquake, tsunami, flooding, high speed winds...). These improvements mainly concern: • Natural hazards characterization, considering concomitant external (simultaneous-yet-independent or cascading) events, and the correlation in intra-event intensity parameters; • Fragility and functionality assessment of main critical NPPs' elements, accounting for conjunct effects (including ageing effects) and interdependencies under single or multiple external aggressions; • Risk integration combined with uncertainty characterization and quantification, to allow efficient risks comparison and account for all possible interactions and cascade effects; • Better processing/integration of expert-based information within PSA, through modern uncertainty theories both to represent in flexible manner experts’ judgments and to aggregate them to be used in a comprehensive manner. The proposed improvements will be tested and validated on simplified and real NPP case studies. Demonstration supporting tools for operational & severe accident management will be also provided.

Keywords: nuclear power plant,probabilistic safety assessment,multirisks integrated framework,natural external hazards
Molecular organization and dynamics of synapse diversity: novel genetic, imaging and computational approaches (SYNNOVATE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-08-01
End date: 2021-07-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: CLOSED

Synapses are a hallmark of the brain, showing remarkable anatomical and molecular complexity, and central to the aetiology and progression of hundreds of brain diseases. The vertebrate brain has a vast potential synapse diversity arising from the differential distribution of combinations of proteins into individual synapses. This has led to the recognition that “synaptome mapping” needs to be developed where the expression level of individual proteins is robustly measured in individual synapses across the whole brain. We developed a novel and unique ‘synaptome discovery and imaging platform’ that links the molecular organisation of synapses with the spatial and temporal anatomical diversity of individual synapses and charts molecular synaptome maps across the brain. This platform enables routine and rapid quantification of genetically encoded molecular markers, with multiple functionalities, in almost a billion synapses in hundreds of brain regions of the mouse and generates statistically robust synapse catalogues and molecular maps of the brain. We have uncovered remarkable new neuroanatomical features and revealed a synaptic molecular architecture at the systems-wide scale. We have discovered this architecture is radically reorganised by mutations that cause schizophrenia, intellectual disability and autism. We have also shown these new methods can label activity-dependent reorganisation of single synapses at a whole brain scale, enabling the tracing of synaptic memory engrams. Our goals are to understand how synaptome maps develop and are reorganized by mutations causing cognitive disorders; examine experience-dependent map plasticity during development, following learning and electrophysiological stimulation in normal animals and those carrying cognitive disorder mutations. We also plan to develop computational approaches based on synaptome maps and freely distribute genetic and image analysis tools to promote synaptome mapping in the community.
Harnessing experimental evolution of rhizobia for an integrative view of endosymbiosis (HARNESS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-05-01
End date: 2021-04-30
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: CLOSED

Microbiota shape growth and survival of eukaryotes through countless symbiotic associations. A prominent example for agriculture is the mutualistic nitrogen-fixing symbiosis between legume plants and rhizobial bacteria. Understanding the evolution and functioning of these symbioses offers promises to optimise their beneficial use in agro-ecosystems and, potentially, to extend it to non-legume plants. An ambitious project initiated several years ago in the host team aims at recapulating the evolution of new nitrogen-fixing bacteria from a pathogenic ancestor. A symbiotic plasmid was artificially transferred into the plant pathogen Ralstonia solancearum and the resulting chimera was selected for improved in planta symbiotic performance by experimental evolution. This experiment offers a unique opportunity to witness the ‘real-time’ adaptation of chimeric bacteria to their new host plant. In this proposal, I will leverage the biological material generated during this experiment to progress towards an integrative understanding of the evolutionary events underpinning the transition to symbiosis. In particular, I will focus on the acquisition of intracellular uptake and accommodation of bacteria by plant cells, a defining and poorly understood aspect of these symbiotic associations. First, I will use whole-population sequencing to track allelic frequencies in evolving populations and identify mutations improving bacterial intracellular fitness. Functional genetics analyses will then uncover the bacterial functions that are required for endosymbiotic life. Finally, plant transcriptional responses to bacteria showing different infectious abilities will be analysed by RNA-sequencing. Altogether, this work will use a combination of approaches (experimental evolution, genetics and high-throughput sequencing) to advance our understanding of the genetic and selective processes underpinning the evolution of nitrogen-fixing symbioses.

Keywords: legume rhizobia symbiosis,experimental evolution,post genomics,molecular microbiology
Artificial Intelligence Model for Cognitive Assessment for infants and Children (AIM_COACH)

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: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-08-01
End date: 2023-07-31
Duration (months): 24.0
Total project cost (EUR): 214158.72
EU funding (EUR): 214158.72
Participants: 1
Project status: SIGNED

The development of the understanding of normal and especially pathological human brain development is as important as ever, and has the potential to unlock enormous clinical benefits. It is essential to understand the underlying reasons that leads to faulty brain development in premature babies, we need to undertake studies that investigate these reasons so as to use the results to provide at-risk infants with an early diagnosis of brain damage and start intervention while the brain is still plastic. AIM_COACH: Artificial Intelligence Model for Cognitive Assessment for infants and Children, intends to answer all these questions. Objective of this research is to document normal and abnormal brain development in full-term and premature infants by analysing Electroencephalography (EEG) signals of infants and small children. To this end, researcher will develop an Artificial intelligence based Cognitive Assessment system for real time analysis in order to facilitate learning in infants and young children who show signs of developmental delay and learning problems. It will be offered as an intervention programme to those children that are likely to benefit most from an early diagnosis and early intervention before school age. Marie Skłodowska- Curie Actions- Individual Fellowships Call (MSCA-IF) which is purely a research and training fellowship provides a conducive environment in realising the objectives of AIM_COACH and offers an ideal ambience for developing skills to reach future career objectives in view of the researcher’s competitiveness for permanent academic posts at the world’s leading-100 universities.
Learning spatiotemporal patterns in longitudinal image data sets of the aging brain (LEASP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: France
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-09-01
End date: 2021-08-31
Duration (months): 60.0
Total project cost (EUR): 1499894.0
EU funding (EUR): 1499894.0
Participants: 1
Project status: CLOSED

Time-series of multimodal medical images offer a unique opportunity to track anatomical and functional alterations of the brain in aging individuals. A collection of such time series for several individuals forms a longitudinal data set, each data being a rich iconic-geometric representation of the brain anatomy and function. These data are already extraordinary complex and variable across individuals. Taking the temporal component into account further adds difficulty, in that each individual follows a different trajectory of changes, and at a different pace. Furthermore, a disease is here a progressive departure from an otherwise normal scenario of aging, so that one could not think of normal and pathologic brain aging as distinct categories, as in the standard case-control paradigm. Bio-statisticians lack a suitable methodological framework to exhibit from these data the typical trajectories and dynamics of brain alterations, and the effects of a disease on these trajectories, thus limiting the investigation of essential clinical questions. To change this situation, we propose to construct virtual dynamical models of brain aging by learning typical spatiotemporal patterns of alterations propagation from longitudinal iconic-geometric data sets. By including concepts of the Riemannian geometry into Bayesian mixed effect models, the project will introduce general principles to average complex individual trajectories of iconic-geometric changes and align the pace at which these trajectories are followed. It will estimate a set of elementary spatiotemporal patterns, which combine to yield a personal aging scenario for each individual. Disease-specific patterns will be detected with an increasing likelihood. This new generation of statistical and computational tools will unveil clusters of patients sharing similar lesion propagation profiles, paving the way to design more specific treatments, and care patients when treatments have the highest chance of success.

Keywords: image,mesh,time series,deformable models,riemannian geometry,bayesian mixed effects models,neuroimaging,virtual brain
Microfluidic-assisted fabrication of artifical microniches for bone marrow stem cells (MicroNICHE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain,United States
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-07-01
End date: 2020-02-26
Duration (months): 36.0
Total project cost (EUR): 239191.21
EU funding (EUR): 239191.19999999998
Participants: 3
Project status: CLOSED

There is a growing interest in adult stem cells, especially from bone marrow, for regenerative medicine. Hematopoietic stem cells, a type of bone marrow stem cells, alone cannot be expanded in vitro; in vivo, they reside in a microenvironment known as a niche that maintains them in a quiescent state until prompted to differentiate. The stem cell niche provides structural and trophic support and the appropriate homeostasis to regulate stem cell function. Additionally to regulatory factors in these stem cell niches, a number of environmental and mechanical signals arising from the extracellular matrix are crucial regulators of stem cell fate. In order to expedite for basic studies of bone marrow stem cells, and further translational implementation, any realistic approach to the native stem cell niche requires: to engineer a biomimetic 3D-microenvironment, and then to develop artificial microniches with the key functional features reconstructed. High-throughput microfluidic technology offers high promise, however, adaptation to accommodate adult stem cells in artificially fabricated niches remains still a challenge. Microfluidic-assisted culture systems should not only allow maintaining cell homeostasis through biochemical and mechanical stimulation, but also modulating adult stem cell renewal and differentiation through microscale patterning of cells and extracellular materials in biomimetic microniches. This project aims at the microfluidic reconstruction of an artificial stem cell niches. In this proof-of-concept, a bone marrow stem cell microniche with tunable size, material and topography will be developed by integrating novel fabrication microfluidics with material engineering.

Keywords: droplet microfluidics,hydrogel,adult stem cells,bone marrow
Smart room and Mobile APPlication Development Suite for hospitality (SMAPP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Italy
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-05-01
End date: 2016-09-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 2
Project status: CLOSED

SMAPP is an IT hospitality platform that integrates a smart room solution and a mobile application development suite, helping hotels to offer a 360º experience to their guests, increasing repeat customers while decreasing management costs by 18%. Luxury, boutique hotels, upper-scale accommodation providers and resorts strive to provide 360º experiences to their guests by improving the quality of service while reducing costs. The SMAPP system overcomes these challenges with two critical services: a custom mobile guide and a comfortable smart room experience. SMAPP includes the following components: - A Mobile Application Development suite and Content Management System for hotels. - A native mobile application for Android, iOS and Microsoft platforms for travelers. - A mesh wireless room to control devices such as lighting, heating, humidity actuators and sensors based on the Z-Wave technology. - A web management console which provides hotel owners with a Hotel Management System and an interface to room's devices. - Room controllers acting as interfaces between the management system and room’s devices. SMAPP is a disrupting solution promoted by an established luxury accommodation provider, DELTAFIN21, in collaboration with ZUNA, a promising hospitality technology provider. The solution, which is already backed by important electrical engineering companies as well as hospitality providers, will be demonstrated in 4 pilot projects throughout Europe. In Phase 1 we will analyse installation requirements, select the pilot hotels and technological partners and define the business plan and Intellectual Property strategy.

Keywords: application development,smart room,hotel management system,hotel automation,hospitality,domotics