Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Metal flow in laser additive manufacturing using x-ray imaging and machine learning (MFILAMUXIAML)

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-2019, 2019)
Start date: 2021-02-01
End date: 2023-09-30
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

Additive Manufacturing (AM) has been a hot topic for many years. A fundamental understanding of the metal flows in the molten pool is critical to improving the quality of the sample produced by AM. Laser metal deposition (LMD) is one of the most widely used AM methods, which has a high production efficiency, and a special application in repairing the damaged parts with large size and high price. During the LMD process, a powdery filler is injected from the nozzle onto the surface of the base metal, and a laser beam is used to melt the powders and surface of a specimen. Dynamics of the keyhole and molten pool will determine the temperature distribution and the profile of the molten pool, thus affecting the microstructure of the printed bead. It is difficult to observe the dynamics of the molten pool in AM directly with a camera because the molten pool is surrounded by the solid metal. The objectives of this proposal are to reveal the dynamic characteristics of the keyhole and molten pool in LMD and provide a guide for choosing the proper production parameters for defect-free AM. To achieve the objectives, the X-ray imaging system in the host institute will be used to observe the dynamics of the keyhole and molten pool. With the high-melting-point tungsten particles as the tracers mixed with the metal powders, the flow of the liquid metal in the molten pool could be observed. The machine learning technique is then used to track the flow of the tungsten particles, which makes the quick determination of the flow routes and velocities of the liquid metal possible. The novelty of this proposal is that the x-ray imaging method combined with the machine learning technique is first used to visualize the dynamics of the keyhole and molten pool in LMD. This research could provide a guide for optimizing the process parameters and improving the AM quality, and the achievement of this research could contribute to the development of LMD in the industry.

Keywords: x ray imaging,additive manufacturing,laser manufacturing,machine learning,in situ,welding
ARBOVIRUS SKIN INFECTION MODELLING FOR MORE ACCURATE VIRAL PATHOGENESIS (VirIVITES)

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-2019, 2019)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: CLOSED

Although inflammatory and neurological diseases caused by arthropod-borne viruses progress worldwide, biomedical advances are slow, still leaving patients to palliative care. New approaches to arboviral pathogenesis are needed to overcome the limitations imposed by inappropriate experimental systems. Here I propose to use tissue-engineered human skin, comprising immune cells and sensory nerve cells, and naturally-infected mosquitos to investigate infection and cell responses to the Dengue arbovirus. I will benefit from the host organization experience to perform (i) primary and induced pluripotent stem cell cultures and differentiation of dendritic cells, macrophages and sensory neurons, followed by their three-dimensional assembly, (ii) Dengue virus infection of mosquitos and (iii) analysis of cell infection and cell responses using virology, molecular biology and microscopy tools. In return, I will apply my skills in single cell transcriptomics of skin to explore the feasibility to apply this new technology to reconstructed tissue. Thanks to excellent scientific and soft skill training as well as the favourable arrangements provided by the host organization, the deliverables of this interdisciplinary research programme should be attainable in 24 months. In addition, I aim to gain professional maturity by proposing new projects for financing as a result of ideas, knowledge and collaborative links. The demonstration that human sensory neurons are infected by the Dengue virus in reconstructed skin should make an important impact for new biomedical approaches to prevent/treat neurological diseases caused by arboviruses. My objective is also is to have contributed to the progress of the host organization while evolving professionally for a stable employment in Europe.

Keywords: skin,mosquito,arbovirus
Fluid-Rock InteraCTION at hydrothermal conditions during the seismic cycle (FRICTION)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-08-01
End date: 2023-01-28
Duration (months): 24.0
Total project cost (EUR): 171473.28
EU funding (EUR): 171473.28
Participants: 1
Project status: CLOSED

With ca. 50.000 casualties per year and 330 billion USD of damage in this century, earthquakes are among the biggest geohazards on Earth. Earthquakes are natural, often human-induced, phenomena in which a vast amount of elastic strain energy stored in rocks is suddenly released. A large amount of research has been performed to investigate fault mechanisms during earthquakes whereas much less has been done to constrain the chemical-physical processes of fluid-rock interaction during the seismic cycle and how these processes enhance the healing of fault zones, the storage of elastic strain energy in the crust and the nucleation of new earthquakes. The project FRICTION, building on the exciting results from a previous ERC project aimed to understand earthquakes mechanics from rupture nucleation and propagation to arrest, aims at investigating the feedback between seismic faulting, fluid-rock interaction, and tectonic loading in the processes of healing of fault zones and nucleation of earthquakes in the continental crust. FRICTION is innovative since it tackles a scientific topic which was so far overlooked with a multiscale interdisciplinary approach combining: high-detailed field structural characterization of exhumed ancient seismogenic fault zones, unprecedented rock deformation and fluid-rock interaction experiments under realistic hydrothermal and seismic conditions, both coupled with microstructural-petrophysical and chemical characterization of natural and experimental fault rocks. This integrated approach will lead to building a wealth of novel datasets to quantify the strength, friction constitutive properties, and sliding behavior of faults at hydrothermal conditions in the continental crust. The research will be conducted at Università degli Studi di Padova, where the joint assets of an experienced supervisor and unique, ground-breaking equipment will guarantee the successful progress of the research and my professional growth as an independent researcher.

Keywords: fluid rock interaction,earthquake mechanics,faults,seismic cycle
Sustainable tuna fisheries through advanced earth observation technologies (SUSTUNTECH)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Developing comprehensive and sustained global environmental observation and information systems
Action type: Innovation actions
Countries involved: Spain,Germany,Italy,Spain,Norway,United Kingdom
Call: Development of commercial activities and services through the use of GEOSS and Copernicus data (H2020-SC5-2019-2, 2019)
Start date: 2020-05-01
End date: 2024-04-30
Duration (months): 48.0
Total project cost (EUR): 3035463.35
EU funding (EUR): 2618968.11
Participants: 8
Project status: SIGNED

The EU requires fishing to be environmentally friendly, economically viable and socially sustainable to provide long-term European food security. To achieve such objectives the fishing industry needs to remain profitable by increasing its efficiency in a changing environment as catches have reached the limit in most cases. Copernicus, the EU's Earth Observation (EO) Programme, offers information services based on satellite EO and in situ environmental data for the benefit of European citizens. SUSTUNTECH project will use Big data approaches in daily operations of tuna fishing vessels in order to generate added value to the environmental data services provided by Copernicus and provide data feedback that can increase data supply and services improvement considering industrial needs and citizen needs of resilient high-quality sources of food that are economically and environmentally sustainable. Current fisheries operations are based in individual operations of ships bringing to great exploitation inefficiencies not yet explore the full potential to fisheries efficiency improvement by combining EO data from Copernicus services, optimization heuristics, machine learning and big data methodologies in a fleet basis and not in individual ship basis. SUSTUNTECH approach of high value products using Copernicus data and services expect fuel and cost savings in an order of 25% to 40% per fisheries fleet by producing commercialized tools at TR6-7 level using combined capabilities of the members of the consortium. Research institutions will provide their expertise in the areas of machine learning, good practices, monitoring and fisheries scientific knowledge. While industrial partners will provide their expertise in the areas of sensors, advanced visualization, market focused product development and commercialization that will be commercialized through the industrial partners networks of clients with shared royalties’ schemes and keeping individual intellectual property rights.

Keywords: fuel consumption,emission reduction,sustainable fishing,operational tools,copernicus based products,day to day solutions,machine learning,big data,optimization heuristics,information fusion
The Role of free Extracellular DNA in determining The Environmental Antibiotic Resistome (REDTEAR)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-10-01
End date: 2023-09-30
Duration (months): 24.0
Total project cost (EUR): 183473.28
EU funding (EUR): 183473.28
Participants: 1
Project status: SIGNED

Free extracellular DNA (FED) is DNA dissolved in waters and in soils, where it arrives after being excreted by living organisms or following the disruption of living cells. FED can be the most prominent fraction of DNA in waters subjected to strong disturbances, where the mortality rate of microorganisms is high, e.g. wastewater treatment plants effluents. FED are composed by a variety of DNA fragments including resistance genes and mobile elements. There are early evidences than FED can represent a very important, although neglected, source of antibiotic resistance genes (ARGs) in the environment, where the bacterial community can access FED and incorporate extracellular DNA by horizontal gene transfer. If this process will be confirmed and quantified by dedicated researches, our understanding of the cycle of antibiotic resistances into the environment and back to human pathogens could change dramatically, calling for a whole rethinking of the wastewater treatments nowadays applied. The Project REDTEAR will tackle the issue and will clarify the role of FED in the spread and the persistence of ARGs in open waters in central Europe, offering a unique opportunity for a correct management of this problem, already identified as one of the major challenges for human health in the next century.

Keywords: antibiotic resistance,free dna,resistome,microbiome,wastewater
Intuitive Self-Inspection Techniques using Augmented Reality for construction, refurbishment and maintenance of energy-efficient buildings made of prefabricated components (INSITER)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies enabling energy-efficient systems and energy-efficient buildings with a low environmental impact
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Spain,Germany,Spain,Germany,Italy,Italy,Belgium,Bulgaria,Netherlands,Netherlands,Netherlands
Call: Development of new self-inspection techniques and quality check methodologies for efficient construction processes (H2020-EeB-2014, 2014)
Start date: 2014-12-01
End date: 2018-11-30
Duration (months): 48.0
Total project cost (EUR): 5936010.63
EU funding (EUR): 5936010.63
Participants: 14
Project status: CLOSED

NEED FOR INNOVATION: The critical mass of Energy-efficient Buildings (EeB) in Europe by 2020 will be achieved through sustainable industrialisation of high-performance architectural, structural and building-service components. However, realising the targeted performance in design is hampered by critical shortcomings during on-site construction and refurbishment that cause a lower built-quality and sub-optimal energy-saving in the building lifecycle. OBJECTIVE OF THE PROJECT: INSITER aims to eliminate the gaps in quality and energy-performance between design and realisation of energy-efficient buildings based on prefabricated components. The key innovation of INSITER is the intuitive and cost-effective Augmented Reality that connects the virtual model and the physical building in real-time. INSITER will develop a new methodology for self-instruction and self-inspection by construction workers, subcontractors, component suppliers, and other stakeholders during on-site working processes, supported by a coherent set of hardware and software tools. HOW THE OBJECTIVE WILL BE ACHIEVED: INSITER will substantially enhance the functionalities and capabilities of measurement and diagnostic instruments (like portable 3D laser scanners, thermal imaging cameras, acoustic and vibration detectors, real-time sensors) by means of a smart Application Programming Interface (API) and data integration with a cloud-based Building Information Model (BIM). The triangulation of Geospatial Information, Global and Indoor Positioning Systems (GIS, GPS, IPS) will support accurate and comprehensive Virtual and Augmented Reality (VR and AR). RELEVANCE TO THE WORK PROGRAMME: Through new self-inspection techniques, INSITER will fully leverage the energy-efficiency potentials of buildings based on prefab components, from design to construction, refurbishment and maintenance. It will scale-up the use of BIM for standardised inspection and commissioning protocols, involving all actors in the value-chain.

Keywords: self inspection,quality control,performance assessment,energy efficiency,augmented reality,building information model,new construction,refurbishment,measurement equipment,software tool
Electric Propulsion Innovation and Competitiveness (EPIC)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling European competitiveness, non-dependence and innovation of the European space sector
Action type: Coordination and support actions
Countries involved: Spain,Germany,Italy,Belgium,Belgium,France,United Kingdom
Call: In-Space electrical propulsion and station keeping (H2020-COMPET-2014, 2014)
Start date: 2014-10-01
End date: 2019-11-30
Duration (months): 62.0
Total project cost (EUR): 3496351.0
EU funding (EUR): 3496351.0
Participants: 9
Project status: CLOSED

EPIC proposes a Programme Support Activity which will produce a clear integrated roadmap & masterplan for its implementation through a Strategic Research Cluster (SRC) on In-space Electrical Propulsion & Station-Keeping. EPIC plans to do a survey of the current worldwide Electric Propulsion (& related) technologies & their TRL. A collection of requirements from all stakeholders will be done, also assessing potential future missions. Both tasks will build on the 2014 EP Harmonisation & the consultation will be expanded to all EU actors. This will allow to focus efforts on the SRC roadmap’ specific goals. Based on this work, a critical gap analysis of technologies & needs will be done, to create the basis for selection of candidate SRC developments, oriented to satisfy short-term (incremental advances) & medium/long term (disruptive) needs. Then the prioritisation will be the driver & challenge, leading to the selection of activities for an SRC roadmap & masterplan for its implementation, aiming at a validation flight in 2023 & to contribute to European leadership in EP technologies. EPIC will provide a solid & widely consulted advice to the EC on the call texts for operational grants & continuous support to EC/REA to maximise the SRC success. EPIC will analyse the SRC progress, evaluate its risks & put a mitigation plan in place, including the Collaboration Agreement. The EPIC consortium will disseminate its progress & results, & intends to contribute to the SRC results’ dissemination not only with an exploitation plan but also by exercising a close coordination with all operational grants. EPIC is coordinated by ESA & complemented by renowned National Agencies: ASI, BELSPO, CDTI, CNES, DLR & UKSA, & by the major European space industrial associations, Eurospace & SME4Space. This teaming of beneficiaries brings together the multidisciplinary mix of expertise required to deliver an unbiased, rational strategic roadmap & masterplan for EP developments in H2020.

Keywords: roadmap,europe
Wearable Experience for Knowledge Intensive Training (WEKIT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Italy,Italy,Norway,Finland,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Technologies for better human learning and teaching (H2020-ICT-2015, 2015)
Start date: 2015-12-01
End date: 2019-02-28
Duration (months): 39.0
Total project cost (EUR): 2753143.75
EU funding (EUR): 2753143.75
Participants: 14
Project status: CLOSED

OBJECTIVES: Build on multi-discipline research (e.g., human-centred methodology integrates cognitive models, ergonomics, understanding of worker’s well being) to accelerate how we identify, acquire and exploit skills valued by industry. Get high take-up by early adopters (e.g., in manufacturing). Augment training in situ with live expert guidance, a tacit learning experience and a re-enactment of the expert, in knowledge-intensive environments where effective decision making, often in new situations, has high impact on effectiveness in production. Bring learning content and technical documentation to life via task-sensitive Augmented Reality (AR). Make final products flexible for workplace integration via industry-standard repositories and toolkits. HOW: Wearable TEL platform enhances human abilities to acquire procedural knowledge by providing a smart system that directs attention to where it is most needed. An extensive audit of industry procedures, policies and participatory design methods will define the main facets of the platform. User test cycles will refine prototypes and deliverables. Existing wearable smart devices and sensors will be tailored to provide an innovative solution for content delivery and measurement of user performance. Comparative tests, stakeholders’ review and leading the IEEE AR group will secure high-standard academic and industrial outputs. RELEVANCE to work programme: WEKIT is strongly aligned with EU job/training policies (e.g., Grand Coalition for Digital Jobs). It enhances the industrial value chain, reduces fragmentation/cost and improves efficiencies with impact regarding speed and scale in production. Looking ahead: roadmap shows safe skill pathways for use of TEL in changing industrial landscapes (e.g. smart machine-to-machine (M2M) knowledge-sharing). Smarter products and services will improve workflows, enhancing (re)training of workers whose skill sets need upgrading after ‘Industry 4.0’.

Keywords: vocational training,learning for industry,fragmentation,augmented reality,wearable technologies,wearable sensors,experience capturing,experience re enactment
Immune Signatures for Therapy Stratification in Major Mood Disorders (MOODSTRATIFICATION)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Understanding health, wellbeing and disease
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Italy,Israel,Belgium,Belgium,France,France,Netherlands,Netherlands,Denmark
Call: New concepts in patient stratification (H2020-SC1-2017-Two-Stage-RTD, 2017)
Start date: 2018-01-01
End date: 2023-06-30
Duration (months): 66.0
Total project cost (EUR): 5963750.0
EU funding (EUR): 5963750.0
Participants: 12
Project status: SIGNED

Objective: MOODSTRATIFICATION brings together 11 partners (psychiatrists, immunologists, epidemiologists, industry) from 7 countries stratifying patients with a major depressive episode on the basis of leukocyte immune profiles. The immune profiles were found in two previous EU projects, which also delivered the novel concept, that T cell defects with episodes of chronic mild inflammation are a causal factor for a large part of mood disorders. The immune profiles determine therapy choice with (combinations of) conventional and novel therapies with immune modulators (e.g. anti-inflammatory and T cell enforcement therapies). On the basis of recent data we expect that the present poor response rates of about 50% to anti-depressant therapy will improve considerably to 80-90%. Mood disorders are complex diseases with a high prevalence (12-20%) and are the second highest contributor to the number of years lived with disability worldwide. Work plan: MOODSTRATIFICATION firstly uses the large data sets and biobank of the two previous EU projects to further refine the already found immune profiles. Therefore the proposal further integrates existing and newly collected multidimensional, longitudinal clinical and laboratory data (-omics, FACS and serum multi-analytes) from these projects for further immune network analysis and computational modelling also taking female-male differences into account. Technologies to easily determine the immune profiles (a relatively small multi-analyte panel, Q-PCR kits on PAXGENE material) will together with industries be developed. Thereafter the efficacy of two novel T cell enforcing therapeutic approaches and the new concept of depression stratification on the basis of the immune profiles will be validated in three clinical proof-of-principle studies. Various national and international patient associations will be actively involved. Novelty: This is the first lab-based therapy stratification in psychiatry made ready for the clinic.

Keywords: conventional therapy,anti inflammatory therapy