Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Understanding nitrogen metabolic interactions in mixed anammox-based microbial communities (MixAmox)

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: Environment and Geosciences
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-01
End date: 2019-08-31
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

Improving current biological wastewater treatment plants (WWTPs) towards more reliable and resource-efficient solutions is a priority of the EU (Water Framework Directive). Successful biological treatments rely on the concerted activity of different microorganisms and thus optimized microbial community engineering strategies are required to achieve this goal. Processes based on anammox bacteria hold promise to reduce the energy and resource expenditures of WWTPs. However, our current knowledge of the different microorganisms involved and the environmental factors regulating their interactions in anammox-based microbial communities remains limited. The MixAmox project aims at advancing our fundamental understanding of the metabolic interactions and their implications for process performance in these communities through a multidisciplinary approach based on theoretical and experimental methods combined with cutting-edge molecular techniques and stable isotopes. The obtained results are expected to foster the implementation of anammox systems. Moreover, the developed methodological framework will be directly applicable for the study of any natural or engineered complex microbial community. Hosted at TU Delft, the researched (ML) will develop a strong theoretical background in thermodynamic analysis and mathematical modelling of microbial communities. He will also learn how to design and conduct short and long-term incubations, combined with stable isotopes, targeting the study of metabolic interactions and microbial competition dynamics. ML will spend the secondments at Aalborg University where he will be trained in high-throughput sequencing technologies for the phylogenetic and functional characterization of complex communities. This unique combination of expertise will significantly improve ML’s career perspectives towards his ambition to establish his own research group at the edge of environmental biotechnology and community systems microbiology.

Keywords: anammox,dnra,denitrification,stable isotopes,functional genes,dna sip,microbial competition
Logic-based Attribution and Forensics in Cyber Security (AF-Cyber)

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: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-02-01
End date: 2020-01-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Recent studies states that "Devices will continue to grow in volume and variety, and the forecast for connected devices by 2020 is 200 billion and climbing". The increase of connectivity brings a drastic impact on the increase of cyber attacks. Protecting measurements are not enough, while finding who did the attack is a crucial for preventing the escalation of cyber attacks. AF-Cyber will relieve part of the cyberattacks problem, by supporting forensics investigation and attribution with logical-based frameworks representation, reasoning and supporting tools. AF-Cyber main core will be a logic-based framework for performing attribution of cyber attacks, based on forensics evidence and an intelligent methodology for dynamic evidence collection. It will analyse and valuate analytically Cyber Forensics applications. Different forensics reasoning rules and techniques will be extracted and a categorization of forensics evidence will be constructed. A new logical formalism will be introduced for representing the analytical and non-monotonic reasoning needed for solving the attribution problem. A tool, based on the logical framework for the attribution reasoning, will be developed. The tool will be tested with different real examples. The tool given the different evidence gives as result a quantitative/probabilistic answer of where the attack came from. A second version of the tool will be developed which will guide the forensics analyst during his work on collecting the evidence, and reasoning about them. A dynamic forensics evidence collection will be designed based on the different reasoning rules, and the involvement of data mining/machine learning algorithms. Cyber security concerns are part of ICT security and Digital Security call. AF-Cyber is in-line with the latest EU Commissions measures for addressing cyber threats, the Connected Digital Single Market: Digital Security call and ENISA’s calls for threat landscapes & cyber security exercises.

Keywords: cyber security,forensics,forensics in cyber attacks,formal methods,non monotonic reasoning,attribution in cyber crime,decision process,non classical logics
Multiphysics modelling and neural networks synergy to enhance the outcome of robotic catheter ablation for the treatment of atrial fibrillation (PhyNeTouch)

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
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-01
End date: 2023-12-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: SIGNED

Atrial fibrillation is the most common cardiac arrhythmia affecting more than 7.6 million people in Europe, while future projections estimate a worldwide increase by over 60%. Catheter ablation has evolved over the last decades to an important therapeutic modality for patients with atrial fibrillation. Despite the fact that modern robotic ablation systems made precise catheter navigation possible, the success rate remains limited and the risk for complications is significant. As a result, atrial fibrillation remains a serious health issue, influencing the quality of life, and the source of very important socioeconomic problems. The vision of PhyNeTouch project (reads: fine-touch) is to capitalize on the recent advancements in computational modelling and artificial intelligence in order to enhance the safety of robotic catheter ablation procedure and improve its success rate. Novel multiphysics modelling techniques based on meshfree methods will be combined for the first time with physics-informed neural networks to advance the state-of-the-art and produce accurate bioheat distribution maps in real-time which currently are not available in the clinical setting. Predicting bioheat distribution in the tissue during the operation will assist the decision making and will allow improving the outcome of robotic catheter ablation. In this way, PhyNeTouch aims to contribute to the healthy ageing of citizens of EU and the rest of the world, as well as to reduce the socioeconomic burden, by reducing the complexity of this procedure and making it accessible to a wider public.

Keywords: catheter ablation,heart,robotics,biomechanics,meshfree methods,artificial intelligence,neural networks,bioheat transferring prediction
Evolving reversible iMmunocapture by membrane sensing peptides: towARds scalable extracellular VEsicLes isolation (MARVEL)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Emerging themes and communities
Action type: Research and Innovation actions
Countries involved: Italy,Estonia,Spain,Italy,Italy,Switzerland,Czechia
Call: EIC Transition to Innovation Activities (H2020-EIC-FETPROACT-2019, 2019)
Start date: 2020-11-01
End date: 2023-04-30
Duration (months): 30.0
Total project cost (EUR): 1881183.75
EU funding (EUR): 1881104.75
Participants: 8
Project status: SIGNED

Extracellular vesicles (EV) are submicron membrane vesicles released by most cells with a fundamental role in cell-to-cell communication. Much interest is flourishing towards their exploitation in regenerative medicine and diagnostics. However, the fulfilment of the EV promise is hampered by severe limitations in their isolation, characterization and manufacturing. A particularly arduous task is to move the isolation of specific EV subpopulations beyond the analytical scale and towards scalable processes. In this scenario, our project will leverage on DNA-directed reversible immunocapturing (rDDI), a new technology developed within FET-OPEN project “INDEX”. rDDI relies on the reversible EV isolation mediated by immunoaffinity followed by intact vesicles recovery upon enzymatic cleavage of a DNA linker used to anchor antibodies on solid supports. Despite unprecedented efficiency in the recovery of highly pure EVs, limitations inherent to antibodies (high costs, batch-to-batch variation and limited versatility of chemical manipulation) substantially impair the scalability of rDDI for any operating scale exceeding the analytical one. MARVEL targets a paradigm shift from antibodies to peptides as an alternative class of affinity ligands for EV capturing by introducing membrane-sensing peptides (MSP) as novel ligands for the size-selective capturing of small EV, unbiased by differential surface protein expression. MARVEL mission is to combine and implement rDDI and MSP technologies, towards the first and best performing ever affinity-based technology for scalable and reversible small EV (<200nm) isolation. The modularity in scaling-up of the novel protocols and kits will be demonstrated on medium/large sample volumes in relevant environments for therapeutic and diagnostics use of EVs and specifically: 1) In the manufacturing of GMP-grade EVs as a medicinal product for cardiac repair; 2) In urine-based liquid biopsy for bladder cancer diagnostics.

Keywords: extracellular vesicles,exosomes,peptides,membrane sensing peptides,affinity capture scaling up,cardiac repair,bladder cancer,liquid biopsy,cell free therapy,ev manufacturing,entrepreneurship
The giant impact and the Earth and Moon formation (IMPACT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: France,France
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-09-01
End date: 2023-08-31
Duration (months): 84.0
Total project cost (EUR): 1900000.0
EU funding (EUR): 1900000.0
Participants: 2
Project status: SIGNED

Very little is understood of the physics governing the Giant Impact and the subsequent formation of the Moon. According to this model an impactor hit the proto-Earth; the resulting energy was enough to melt and partially vaporize the two bodies generating a large protolunar disk, from which the Earth-Moon couple formed. Hydrodynamic simulations of the impact and the subsequent evolution of the protolunar disk are currently based on models of equations of state and phase diagrams that are unconstrained by experiments or calculations. Estimates of the positions of critical points, when available at all, vary by one order of magnitude in both temperature and density. Here we propose to compute the thermodynamics of the major rock-forming minerals and rock aggregates, and use it to study the formation and evolution of the protolunar disk. For this we employ a unique combination of atomistic state-of-the-art ab initio simulations. We use large-scale density-functional theory (DFT) molecular dynamics to study bulk fluids, coupled with Green functions (GW) and time-dependent DFT techniques to analyze atomic clusters and molecular species. We compute the vaporization curves, position the supercritical points, and characterize the sub-critical and supercritical regimes. We construct equations of state of the rocks at the conditions of the giant impact that are beyond current experimental capabilities. We employ a multiscale approach to bridge the gap between atomic, geological sample, and planetary scales via thermodynamics; we simulate the thermal profile through the disk, the ratio between liquid and vapor, and the speciation. From speciation we predict elemental and isotopic partitioning during condensation. Plausible impact scenarios, features of the impactor and of the proto-Earth will be constrained with a feedback loop, until convergence between predictions of final Earth-Moon compositions and observations is reached.
Joint EUropean Project for International ITS/EGNSS awareness Raising (JUPITER)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: Coordination and support actions
Countries involved: Italy,Spain,Belgium,Switzerland,France,France,France,Czechia
Call: EGNSS awareness raising, capacity building and/or promotion activities, inside or outside of the European Union (H2020-Galileo-2014-1, 2014)
Start date: 2015-01-01
End date: 2016-12-31
Duration (months): 24.0
Total project cost (EUR): 2082065.94
EU funding (EUR): 1673604.5
Participants: 12
Project status: CLOSED

JUPITER aims at EGNSS awareness raising, capacity building and promotion activities for fostering business development of EGNSS based applications worldwide in response to the H2020 societal challenges at stake for mobility and transportation. In order to ensure that EGNSS comes to prominence in the ITS sector, the added value of EGNSS, compared to or in combination with GPS/Glonass/Beidou constellations should be clearly demonstrated and promoted. The training of application developers will be critical for them to take advantage of EGNSS and to implement GALILEO features in their applications. Once ITS service providers can demonstrate innovative EGNSS ITS applications, another key challenge is to convince public stakeholders and other actors of the transportation industry about the benefits they could derive from implementing such innovative solutions. The sharing of good practices should be fostered in order to raise awareness on how such applications might be used in practice and how commercial domino effects could be instigated from one user to another. This will allow a progressive market consolidation with a enough large critical mass for those ITS service providers who suffer today from a too strong market fragmentation. The ITS World Congress to be held in Bordeaux in 2015 represents a unique opportunity to implement demonstrations of EGNSS innovative solutions (both at signals level and at the application level) and to instigate good practices sharing among stakeholders from more than 65 countries. But it will also be necessary to capitalise on such demonstrations and associated visibility for instigating a commercial impact on the longer term. For a stronger worldwide leverage impact, training capacity will be built and workshops organised in Europe, Latin America, South East Asia, Australia, Africa and Middle East. By doing so, JUPITER intends to offer global development perspectives to the European contributors of the EGNSS ITS ecosystem.

Keywords: egnss,capacity building,internationalization,networking,awareness raising,users communities
DevelopMent AnD application of integrated technological and management solutions FOR wasteWATER treatment and efficient reuse in agriculture tailored to the needs of Mediterranean African Countries (MADFORWATER)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Enabling the transition towards a green economy and society through eco-innovation
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Italy,Italy,Egypt,Italy,Cyprus,Switzerland,Tunisia,Greece,China,Switzerland,France,France,Netherlands,Netherlands,Morocco
Call: Development of water supply and sanitation technology, systems and tools, and/or methodologies (H2020-WATER-2015-two-stage, 2015)
Start date: 2016-06-01
End date: 2020-11-30
Duration (months): 54.0
Total project cost (EUR): 3722168.75
EU funding (EUR): 2910868.75
Participants: 24
Project status: CLOSED

Climate change and population growth are expected to exacerbate the water crisis of Mediterranean African Countries (MACs), where agriculture accounts for 80-85% of freshwater consumption. The aim of MADFORWATER is to develop a set of integrated technological and management solutions to enhance wastewater treatment, reuse for irrigation and water efficiency in agriculture in three MACs (Tunisia, Morocco and Egypt). MADFORWATER will develop and adapt to three main hydrological basins in the selected MACs technologies for the production of irrigation-quality water from drainage canals, municipal, agro-industrial and industrial wastewaters, and technologies for water efficiency and reuse in agriculture, initially validated at laboratory scale. Selected technologies will be further adapted and validated in four field pilot plants of integrated wastewater treatment/reuse. Integrated strategies for wastewater treatment and reuse targeted to the selected basins will be developed, and guidelines for the development of integrated water management strategies in other basins of the three target MACs will be produced, considering climate change, population increase and economic growth scenarios. The social and technical suitability of the developed technologies and non-technological instruments in relation to the local context will be evaluated with the participation of MAC stakeholders and partners. Guidelines on economic instruments and policies for the effective implementation of the proposed water management solutions in the target MACs will be developed. The project will lead to a relevant long-term impact in Egypt, Morocco and Tunisia in terms of increased wastewater treatment, wastewater reuse, food production and income in the agricultural and water treatment sectors, and decreased groundwater exploitation, water pollution and food contamination. The MADFORWATER consortium consists of 18 partners, 5 of which from the 3 MACs and 1 from China.

Keywords: water stress mapping,wastewater treatment and reuse in agriculture,water efficiency in agriculture,technology adaptation and validation,water management,food security,water polici
SFICAM: Ultrafast Fiber-Based Single-Photon Camera for Advanced Microscopy (SFICAM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Israel
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2017-09-01
End date: 2019-02-28
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Light microscopy is critical to many fields, from biology and medicine to technology development and industry. One important breakthrough that enabled the development of super-resolution microscopy was the development of enhanced cameras capable of recording low light-level images with single-photon sensitivity. However such gain in spatial resolution is compromised by low temporal resolution, since these cameras work at video rate or somewhat faster, while many applications require to characterize dynamics which could be a million times faster. We propose here a proof of concept demonstration of a technique that enhances the resolution of optical microscopy in both space and time by significantly enhancing camera frame rates while still retaining single-photon sensitivity. Our approach is to form a single-photon sensitive camera using an array of fibres to guide light into single-photon detectors. In this proof-of-concept of a Single-Photon Fibre-optics Camera (SFICAM), we shall demonstrate a device that could resolve light emitters spatially with nanometric resolution and temporally with nsec precision. We argue that even with a limited number of elements, and therefore with a small frame size, such cameras could be effective, by combining them with scanning laser microscopy techniques. In the course of this POC project we shall expand the small SFICAM already constructed during the project QUAMI using either individual single photon detectors or monolithic arrays of detectors, and demonstrate its utility and advantage in several microscope modalities. We shall also pursue IP protection of our device and proactively search for industrial partners that will advance it to market.

Keywords: microscopy,single photon camera,super resolution,particle tracking
Clothing manufacturing 4.0 – Changing the way we make fashion (Rodinia)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-11-01
End date: 2020-02-29
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The clothing industry, plays an important role in the EU manufacturing industry, employing 1.7 mn people and generating an annual turnover of €166 bn. However, it is the second largest polluting industry in the world, mostly due to its current clothing production model, which leads to overstock, huge upfront costs, long lead-times, only being economically viable for large brands, who represent less than 10% of the industry. In fact, with this model, 30% of garments produced are never sold and end up in landfills or burned by clothing brands (polluting even further). This traditional slow production model was partially viable in a world where fashion trends were ruled by brands, and customisation was not an option. This has changed today however, with fashion trends changing faster than ever, and being now ruled by influencers and social media. Besides, demand for unique designs and short lead times renders the traditional model obsolete, making it even harder for SMEs to stay afloat. Rodinia Generation Aps is leveraging state of the art technologies as digital printing and automated textile cutting, to develop rodinia, a game-changing digital printing apparel production process (patent-pending) linked to a pioneering stringing-technology (patent-pending). Our production-process is 90% automated, applicable to any digital printing production line that includes a digital printer, a heater and a cutter, and managed by our proprietary cloud-based "Clothing Manufacturing Efficiency" software. It cuts production time by 98% and costs by 80% rodinia is the first solution that allows SME clothing brands to set up own micro factories and produce themselves their own clothes. Most importantly, apparel manufacturers and SME clothing brands will be able to adopt an on-demand just-in time mass customization production model, i.e. produce the exact number of different designs required at high speed and affordable cost, avoiding overstock, upfront costs and long lead-times.

Keywords: textile,apparel,luxury goods,manufacturing,production technology,business model innovation,software engineering,service innovation,supply chain management,new business opportunities