Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Genetics of Alternative Transcript Abundance upon immune Cellular Activation (GATTACA)

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: 2015-10-01
End date: 2017-09-30
Duration (months): 24.0
Total project cost (EUR): 173076.0
EU funding (EUR): 173076.0
Participants: 1
Project status: CLOSED

The human body is constantly exposed to infectious agents. Efficient immune response is therefore fundamental to protect the cells from infection and keep individuals healthy. Still, extreme variations are observed in the efficiency of immune response among individuals and populations. Recently, the dissection of the genetic bases of the host immune response to infection has fostered a large interest in the scientific community. As a result, there is now a growing understanding of the influence of genetic variation on the transcriptional reprogramming of immune cells during infection. However, it is now widely accepted that the underlying ‘one gene–one protein’ paradigm is overly simplistic and cannot account for the full complexity of the transcriptome. Here, we propose to study how genetic variants affect transcript diversity to modulate the response to pathogens at the individual and population levels. To do so, we will seek to identify genetic variants that have conferred a selective advantage to human populations through modulation of isoforms usage in response to infection. This work will rely on an innovative strategy that combines coexpression-based studies of the isoform regulatory networks with analysis of the genetic determinants of splicing in response to infection. In doing so, this study should improve our understanding of isoform regulation and identify novel regulatory elements and splicing factor-target relationships in the specific context of infection.

Keywords: quantitative trait loci,splicing,gene regulation,natural selection,infection,regulatory motifs
3C-SiC Hetero-epitaxiALLy grown on silicon compliancE substrates and 3C-SiC substrates for sustaiNable wide-band-Gap powEr devices (CHALLENGE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Italy,Italy,Sweden,Belgium,Sweden,France,France,United Kingdom,United Kingdom,United Kingdom,Japan
Call: Advanced Materials for Power Electronics based on wide bandgap semiconductor devices technology (H2020-NMBP-2016-two-stage, 2016)
Start date: 2017-01-01
End date: 2021-06-30
Duration (months): 54.0
Total project cost (EUR): 8048322.5
EU funding (EUR): 7997822.5
Participants: 15
Project status: CLOSED

Silicon carbide presents a high breakdown field (2-4 MV/cm) and a high energy band gap (2.3–3.2 eV), largely higher than for silicon. Within this frame, the cubic polytype of SiC (3C-SiC) is the only one that can be grown on a host substrate with the huge opportunity to grow only the silicon carbide thickness required for the targeted application. The possible growth on silicon substrate has remained for long period a real advantage in terms of scalability regarding the reduced diameter of hexagonal SiC wafer commercially available. Even the relatively narrow band-gap of 3C-SiC (2.3eV), which is often regarded as detrimental in comparison with other polytypes, can in fact be an advantage. The lowering of the conduction band minimum brings about a reduced density of states at the SiO2/3C-SiC interface and MOSFET on 3C-SiC has demonstrated the highest channel mobility of above 300 cm2/(Vxs) ever achieved on SiC crystals, prompting a remarkable reduction in the power consumption of these power switching devices. The electrical activity of extended defects in 3C SiC is a major concern for electronic device functioning. To achieve viable commercial yields the mechanisms of defects must be understood and methods for their reduction developed.. In this project new approaches for the reduction of defects will be used, working on new compliance substrates that can help to reduce the stress and the defect density at the same time. This growth process will be driven by numerical simulations of the growth and simulations of the stress reduction. The structure of the final devices will be simulated using the appropriated numerical tools where new numerical model will be introduced to take into account the properties of the new material. Thanks to these simulations tools and the new material with low defect density, several devices that can work at high power and with low power consumption will be realized inside the project.

Keywords: power devices,silicon carbide,hetero epitaxy,bulk growth,mosfet,reliability
Advanced Steady and unsTeady distORtion sImulAtor (ASTORIA)

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: Belgium,Belgium,Belgium
Call: Fan inlet advanced distortion simulator (H2020-CS2-CFP09-2018-02, 2018)
Start date: 2019-10-01
End date: 2023-08-31
Duration (months): 47.0
Total project cost (EUR): 2378125.0
EU funding (EUR): 2200000.0
Participants: 3
Project status: SIGNED

Fully answering the requirements of topic JTI-CS2-2018-CfP09-LPA-01-59, the ASTORIA project aims at developing a demonstrated set of tools and methodologies in order to design and test devices replicating complex, steady and unsteady, total pressure and swirl combined distortion profiles with high fidelity in a test rig environment. Software and methodologies will be developed that will enable the definition of tailored multi-component devices, based on extensive exploitation of CFD, reduced-order models and optimization, harnessing the potential offered by rapid prototyping. Steady and unsteady patterns design methodologies will be validated through extensive experimental reduced-scale testing in precisely controlled conditions. The software toolset will be highly modular and flexible. The objective is to combine into a new multi-component distortion generator generic total pressure distortion generating screens and aerodynamic turning vanes assemblies, with limitless possibilities in vane shapes, distribution and size for complex swirl pattern replication. Several assembly solutions are envisaged, which will allow to jointly rotate parts (swirl frame and base distortion) or, conversely, preserve a fixed baseline steady distortion pattern and limit periodic position variation to a subset of turning vanes and/or screen. The integrated toolset will provide an unprecedented capability for combined arbitrarily complex total pressure and swirl distortion simulation, including the minimization of the undesirable influence of the device and directly integrating mechanical and manufacturability into the design intent. It will also seamlessly allow to integrate the potential effect of the fan. ASTORIA is specifically linked with LPA-IADP-WP1.1.3.6, will directly be applicable for specific fan designs to be tested within the SA²FIR rig and will serve the “DX2 Boundary Layer Ingestion” demonstrator, paving the way for new robust integrated engine/airframe design practices.

Keywords: inlet distortion,total pressure distortion,swirl distortion,boundary layer ingestion bli,ultra high bypass ratio uhbr,inlet design methodology,engine,airframe integration
A Pan‐European Network of Robotics DIHs for Agile Production (DIH²)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Austria,Germany,Spain,Ireland,Italy,Germany,Spain,Estonia,Cyprus,Hungary,Lithuania,Romania,Serbia,Sweden,Bulgaria,Greece,Croatia,Poland,Slovakia,Slovenia,Greece,Belgium,Finland,Latvia,France,France,Czechia,Netherlands,Portugal,Denmark,Luxembourg,Denmark,United Kingdom
Call: Robotics - Digital Innovation Hubs (DIH) (H2020-DT-2018-1, 2018)
Start date: 2019-01-01
End date: 2023-06-30
Duration (months): 54.0
Total project cost (EUR): 16896350.62
EU funding (EUR): 15999942.440000001
Participants: 38
Project status: SIGNED

DIH^2 is a network of 26 DIHs, with a target to reach over 170 DIHs. The sole aim of the network is to spark incremental (cut 50% cost of advance robotics solutions, double the growth of robotics market) and disruptive (maximum productivity & optimum agility) innovations in over 300,000 Manufacturing SMEs and Mid-Caps. It will support SMEs in their Agile Production challenge (50% increase in productivity) and unleash their digitalization potential by enabling robot solutions that are more cost effective at lower lot sizes. DIH^2 relies on: • A Common Open Platform Reference Architecture for Agile Production (COPRA-AP) -based on Industrial Data Space Reference Architecture Model and FIWARE technologies- to serve the needs of SMEs by means of a continuously growing set of Robotic-based Open Standard Enablers (ROSE-AP). • A marketplace as one-stop-shop for SMEs to access essential services for digital transformation including business modelling, technical support, access to skills and finance. • 2 competitive Open Calls to launch an ambitious Technology Transfer Program with 260 Agility Audits, 26 cross-border Technology Transfer Experiments and 26 ROSE-AP, leveraging over 26M€ of public & private funding in advance robotics solutions for Agile Production. • Members deeply rooted in their regional Smart Specialization Strategy (bringing €5M additional funding on top of EU funds), ensuring ‘working distance’ services for every SME in Europe - whichever the sector, wherever the location, whatever the size. • A Corporate Sponsorship Program from equipment and automation suppliers committed with the network to get access to wider market and latest research in robotics. DIH^2 will transform this network into a self-sustainable non-profit association with members all over Europe. DIH^2 will demonstrate that public funded research can help SMEs & Mid-Caps achieve digital excellence and global competitiveness through adopting advanced robotics solutions in Agile Production.

Keywords: robots for smes,iot for smes,aglie production for smes
A new model for potato tuber initiation and yield development (POTENT)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-05-01
End date: 2022-09-27
Duration (months): 36.0
Total project cost (EUR): 337400.64
EU funding (EUR): 337400.64
Participants: 1
Project status: CLOSED

Tuberisation in potato is a major photoperiodic developmental programme in which stolons form starch-rich tubers. The earliness of tuberisation dictates the time to crop maturity and so is a crucial factor in potato agronomy. Exploitation of the naturally occurring variation in tuberisation onset provides a route to breeding improved varieties for different latitudes, harvest times and markets. Recent focus in this field has been on the regulation of a FLOWERING LOCUS T orthologue termed StSP6A, a positive regulator of tuberisation. These studies have facilitated development of tuberisation models. However, data from JHI and other literature suggest that these models are incomplete. Now work at JHI has identified a new player, a TFL-1 orthologue that appears to act as a negative regulator of tuberisation. The aims of POTENT are: to determine the binding partners and detailed expression pattern of TFL-1 in the stolon to develop a refined model of tuber initiation; to use a transcriptomic approach applied to TFL-1 transgenic lines to unravel tuber life cycle processes; to investigate the role of TFL-1 in tolerance to abiotic stress; to determine the combinations of StCDF1 and TFL-1 alleles possessed by potato varieties from different maturity classes, that impact on tuber initiation. The project will serve a training vehicle for the experienced researcher (ER) to enhance her portfolio of research skills, to restart her career and so increase her ability to innovate in this area of food security. The ER will add an extra dimension to current research activities in the host organisation by sharing her current expertise. Working with secondment partner Agrico UK, the outcomes will be of commercial and societal interest and a raft of measures will be taken to protect IPR and disseminate results to wide audiences. The project will leave the ER well-qualified to achieve professional maturity and will have a legacy of collaboration and new research avenues to be explored.

Keywords: potato,crop yield,abiotic stress,plant breeding
Functional Organic Nanocrystals for Ultralong Phosphorescence Lifetime Bioimaging Applications (FUNCrystals)

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: Physics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: SIGNED

Recently, organic room-temperature phosphorescence materials (ORTPs) have gathered tremendous interest due to their high brightness and ultra-long lifetime (ULL) features, and ORTPs are useful in many advanced applications, including optoelectronics, bioimaging(BI), and photomedicine. However, at this early stage of development, processing of nanoform ORTPs and scalable synthesis lag behind other forms of ORTPs, leaving the chances for many applications nearly uncharted. Thus, the FUNCrystals project aims to develop functional ORTP nanocrystals (NCs) for two-photon phosphorescence lifetime imaging microscopy (2P-PLIM) BI applications. In particular, the project proposes 3 main activities that capitalize on the strength of the proposed experienced researcher and the host research group (Prof. Clemens Kaminski), in ORTP-NCs synthesis and 2P-PLIM usage. 1.Develop a synthesis process to control the size and shape of ORTP-NCs with high emission quantum yield (QY) and ULL. 2.Investigate the nonlinear optical (NLO) properties and biocompatibility analysis of ORTP-NCs. 3.Use the ORTP-NCs as nanoprobes in the 2P-PLIM to capture the high spatiotemporal and high contrast image in the primary Epithelial cell lines. The expected results will exploit the size and shape-dependent properties of the ORTP-NCs, aiming to demonstrate property performances that can elicit commercial interest in potential nanoprobes for 2P-PLIM bioimaging applications. This project's success will make a substantial contribution to one of the European Union's main concerns on developing nanotechnologies and advanced materials. Overall, this proposed multidisciplinary project brings benefits to both the applicant and the host institution(University of Cambridge) in terms of mutual knowledge transfer, joint publications, new collaborations, networking actions, and personal career development of the researcher as well as increased public awareness about research resulting from the ambitious outreach actions.

Keywords: laser ablation,two photon absorption cross section,organic nanocrystals,room temperature organic phosphorescence materials,nanobiophotonics
Mobile and Flexible Industrial Processing of Biomass (MOBILE FLIP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Sustainable, resource-efficient and low-carbon technologies in energy-intensive process industries
Action type: Innovation actions
Countries involved: Estonia,Sweden,Sweden,Finland,Sweden,Finland,Greece,France,France,France,France,France
Call: Adaptable industrial processes allowing the use of renewables as flexible feedstock for chemical and energy applications (H2020-SPIRE-2014, 2014)
Start date: 2015-01-01
End date: 2018-12-31
Duration (months): 48.0
Total project cost (EUR): 9698843.45
EU funding (EUR): 8606175.0
Participants: 16
Project status: CLOSED

MOBILE FLIP aims at developing and demonstrating mobile processes for the treatment of underexploited agro- and forest based biomass resources into products and intermediates. The processes will be evaluated in terms of raw material flexibility, as the biomass resources are typically scattered and seasonal. Process concepts have been designed around the key technologies pelletizing, torrefaction, slow pyrolysis, hydrothermal pretreatment and carbonisation. The products vary depending on the process concept, being typically fuels as such or for co-combustion (pellets, torrefied pellets, biocoals), biochars for soil remediation, biodegradable pesticides for agricultural or forestry use or chemicals for wood panel industry and sugars and hydrolysable cellulose as intermediate for the sugar platform. Some of the products are marketable as such, while some others are intermediates to be further valorised by integrated large industries. In the latter case, the mobile unit pre-extracts the valuable components or densifies the biomass to reduce transportation costs. Over-the-fence integration to large industries will be one means to ensure the availability of utilities, such as steam and electricity, whereas in some mobile process concepts the utilities can be produced at site for internal or external uses. The concept evaluations are supported both by research and industrial (SME and large industries) partners in the whole value chains. Preliminary business plan is presented in the proposal and will be updated during the project. Dissemination, communication and exploitation activities will be an integral part of the project. A milestone is defined in the midterm of the project to identify the most feasible process lines for demonstration. Life-cycle analysis and a wide sustainability evaluation (economic, environmental and social assessment) will be carried out for the process concepts in order to clarify their potential for flexible raw material valorisation.

Keywords: agrobiomass,forest residue,pelletizing,torrefaction,slow pyrolysis,hydrothermal treatment,saccharification,bioethanol,mechanical pretreatment,wood panel,soil remediation,nutrient
From correlations to explanations: towards a new European prehistory (COREX)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Sweden,Denmark,United Kingdom,United Kingdom
Call: ERC Synergy Grant (ERC-2020-SyG, 2020)
Start date: 2021-05-01
End date: 2027-04-30
Duration (months): 72.0
Total project cost (EUR): 9759609.0
EU funding (EUR): 9759609.0
Participants: 5
Project status: SIGNED

The study of the past is undergoing a dramatic transformation: researchers in the fields of archaeology, genetics, linguistics, history and archaeometry are blurring the lines delimiting their respective fields, and working in increasingly collaborative efforts to understand how history and prehistory unfolded. Recent debates stress the need for new explanatory models which integrate both micro- and macro-level historical processes, and diverse types of datasets. We approach this challenge by applying novel modelling approaches allowing us to move from correlations to explanations of how changes have been shaped by the dynamic interaction of cultural innovation, migration, admixture, population growth and collapse, landscape transformation, dietary change, biological adaptation, social structure, and the emergence of new diseases. To achieve this overall goal the project is built upon four specific aims, which translates into four work packages: WP1: Database for C14, cultural and subsistence (including isotope) data, ancient genomes, eDNA sites, fossil pollen datasets and strontium samples WP2: Environmental DNA and high- resolution local environments,WP3 Exploratory analyses and discriminative models, WP4 Generative models and explanations. Our findings will serve to determine what the impact of the movement of people was on the European landscape, simultaneously on multiple scales: continental, regional and local, providing a research program defying the boundaries of archaeology, genetics and mathematical modelling.Thus, by identifying prehistoric regularities in the interactions of human biology, social and economic organisation, and demography we will be able to compare them to anthropological and historical models of such processes in recent times, to form a more comprehensive understanding of the nature of migration, integration and cultural change, then and now.

Keywords: environmental dna,generative models,discriminative models,archeological databases
A Theory for Understanding, Designing, and Training Deep Learning Systems (THUNDEEP)

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: Israel
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-09-01
End date: 2024-08-31
Duration (months): 72.0
Total project cost (EUR): 1442360.0
EU funding (EUR): 1442360.0
Participants: 1
Project status: SIGNED

The rise of deep learning, in the form of artificial neural networks, has been the most dramatic and important development in machine learning over the past decade. Much more than a merely academic topic, deep learning is currently being widely adopted in industry, placed inside commercial products, and is expected to play a key role in anticipated technological leaps such as autonomous driving and general-purpose artificial intelligence. However, our scientific understanding of deep learning is woefully incomplete. Most methods to design and train these systems are based on rules-of-thumb and heuristics, and there is a drastic theory-practice gap in our understanding of why these systems work in practice. We believe this poses a significant risk to the long-term health of the field, as well as an obstacle to widening the applicability of deep learning beyond what has been achieved with current methods. Our goal is to tackle head-on this important problem, and develop principled tools for understanding, designing, and training deep learning systems, based on rigorous theoretical results. Our approach is to focus on three inter-related sources of performance losses in neural networks learning: Their optimization error (that is, how to train a given network in a computationally efficient manner); their estimation error (how to ensure that training a network on a finite training set will ensure good performance on future examples); and their approximation error (how architectural choices of the networks affect the type of functions they can compute). For each of these problems, we show how recent advances allow us to effectively approach them, and describe concrete preliminary results and ideas, which will serve as starting points and indicate the feasibility of this challenging project.

Keywords: learning theory,neural networks