Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Development of mucosal vaccines based in crosslinked-mucin glycoproteins and chitosan-based nanodevices (cubiform)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-05-01
End date: 2023-04-30
Duration (months): 24.0
Total project cost (EUR): 160932.48
EU funding (EUR): 160932.48
Participants: 1
Project status: CLOSED

This Project aims to evaluate a biomimetic mucus gel (BMG) for its use as mucosal vaccine and mucosal restoration for farmed fish. In addition, through a joint experimental and computational approach, rationalizing the design of chitosan (CS)-based nanodevices (ND) to load in BMG to apply on both healthy and disrupted mucosal surfaces. The aim of this project is to develop a treatment for improving animal health and welfare that are important goals in blue economy . The research work will be developed by the applicant, Dr. Collado González, in the group of Prof. María Ángeles Esteban (supervisor) at the University of Murcia (UM, host). Farmed fish constitutes an essential way for providing dietary proteins and nutrients and they are used as a medical research model. In 2016 in EU, aquaculture resulted in about 75000 jobs and 1.3 million tonnes of aquatic animals which resulted in a gross value added of €2 billion in 2017. In fish, all surfaces are covered with mucus layer that is connected to the mucosal immunity. Mucins (MUC) are glycoproteins present at any mucosal surface . Among other functions, MUC increase lubricity of the mucosa and avoid infection by pathogens. CS refers to a family of aminopolysaccharides that have been proposed for the treatment of pathologies related to MUC. The characterization of the effects of the BMG on the metabolic and phagocytic activities as well as the viability of immune system cells will allow to optimize the BMGs to develop an effective mucosal treatment. A key issue in the development of applications in the field is that MUC and CS are families of flexible polymers with high variability in their properties and behaviour, reason why their interactions at the molecular level are difficult to unravel and not fully understood. Elucidating the main physicochemical forces behind such interactions will allow the optimization of transmucosal CS-based ND.

Keywords: crosslinked mucin glycoproteins,chitosan,nanodelivery,scaffold
A secure and reusable Artificial Intelligence platform for Edge computing in beyond 5G Networks (AIatEDGE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: 5G PPP (cPPP)
Countries involved: Spain,Italy,Italy,Germany,Spain,Italy,Germany,Italy,Ireland,Italy,Italy,Cyprus,Sweden,Sweden,Greece,Sweden,France,France,France
Call: 5G PPP – Smart Connectivity beyond 5G (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 8001247.5
EU funding (EUR): 8001247.5
Participants: 25
Project status: SIGNED

Artificial Intelligence has become a major innovative force and it is one of the pillars of the fourth industrial revolution. This trend has been acknowledged also by the European Commission that has already pointed out how high-performance, intelligent, and secure networks are fundamental for the development and evolution of the multi-service Next Generation Internet (NGI). While great progress has been done during the last years with respect to the accuracy and performance of AI-enabled platforms, their integration in potentially autonomous decision-making systems or even critical infrastructures requires end-to-end quality assurance. AI@EDGE addresses the challenges harnessing the concept of “reusable, secure, and trustworthy AI for network automation”. In AI@EDGE European industries, academics and innovative SMEs commit to achieve an EU-wide impact on industry-relevant aspects of the AI-for-networks and networks-for-AI paradigms in beyond 5G systems. Cooperative perception for vehicular networks, secure, multi-stakeholder AI for IIoT, aerial infrastructure inspections, and in-flight entertainment are the uses cases targeted by AI@EDGE to maximise the commercial, societal, and environmental impact. To achieve the goal, AI@EDGE targets significant breakthroughs in two fields: (i) general-purpose frameworks for closed-loop network automation capable of supporting flexible and programmable pipelines for the creation, utilization, and adaptation of the secure, reusable, and trustworthy AI/ML models; and (ii) converged connect-compute platform for creating and managing resilient, elastic, and secure end-to-end slices capable of supporting a diverse range of AI-enabled network applications.

Keywords: artificial intelligence,mobile edge computing,closed loop automation,perceived zero latency,serverless platform,multi connectivity,disaggregated ran,ml based security,hardware acceleration
Verified Exascale Computing for Multiscale Applications (VECMA)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: High Performance Computing
Action type: Research and Innovation actions
Countries involved: Germany,Poland,France,Netherlands,United States,Netherlands,United Kingdom,United Kingdom
Call: Transition to Exascale Computing (H2020-FETHPC-2017, 2017)
Start date: 2018-06-15
End date: 2021-12-14
Duration (months): 42.0
Total project cost (EUR): 3999477.5
EU funding (EUR): 3999477.5
Participants: 10
Project status: CLOSED

The purpose of this proposal is to enable a diverse set of multiscale, multiphysics applications -- from fusion and advanced materials through climate and migration, to drug discovery and the sharp end of clinical decision making in personalised medicine -- to run on current multi-petascale computers and emerging exascale environments with high fidelity such that their output is "actionable". That is, the calculations and simulations are certifiable as validated (V), verified (V) and equipped with uncertainty quantification (UQ) by tight error bars such that they may be relied upon for making important decisions in all the domains of concern. The central deliverable will be an open source toolkit for multiscale VVUQ based on generic multiscale VV and UQ primitives, to be released in stages over the lifetime of this project, fully tested and evaluated in emerging exascale environments, actively promoted over the lifetime of this project, and made widely available in European HPC centres. The project includes a fast track that will ensure applications are able to apply available multiscale VVUQ tools as soon as possible, while guiding the deep track development of new capabilities and their integration into a wider set of production applications by the end of the project. The deep track includes the development of more disruptive and automated algorithms, and their exascale-aware implementation in a more intrusive way with respect to the underlying and pre-existing multiscale modelling and simulation schemes. The potential impact of these certified multiscale simulations is enormous, and so we aim to promote the VVUQ toolkit across a wide range of scientific and social scientific domains, as well as within computational science more broadly. Scientific excellence and outreach will be overseen by a Scientific Advisory Board, while exploitation, including economic and societal impact, will be assisted by the project’s Innovation Advisory Board.
Automotive Big Data Marketplace for Innovative Cross-sectorial Vehicle Data Services (AutoMat)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Content technologies and information management: ICT for digital content, cultural and creative industries
Action type: Innovation actions
Countries involved: Germany,Spain,Germany,Italy,Germany,Germany,Switzerland,France,France,Netherlands,Netherlands
Call: Big data and Open Data Innovation and take-up (H2020-ICT-2014-1, 2014)
Start date: 2015-04-01
End date: 2018-03-31
Duration (months): 36.0
Total project cost (EUR): 5751785.5
EU funding (EUR): 4460269.0
Participants: 12
Project status: CLOSED

Inside today's vehicles ~4000 CAN-Bus signals/sec are processed in comparison to very few signals in smart phones and alike. This large amount of continuously gathered vehicle data represents major big data business potentials, not only for the automotive industry but in particular for cross-sectorial industries with interdisciplinary applications. With today's proprietary approaches focusing on bringing services into vehicles and the applied ignorance of customer privacy concerns, this major business potential is still locked because the automotive industry was not yet able to establish an open service ecosystem equivalent to the ones in the smart phone industry. The core intention of the AutoMat project is to innovate an open ecosystem for Vehicle Big Data, materializing in the form of a cross-border Vehicle Big Data Marketplace that leverages currently unused information gathered from connected vehicles. The interface to the marketplace is derived from a Common Vehicle Information Model that makes mined and anonymous vehicle data from various OEMs accessible to cross-sectorial service providers. With the huge amount of volatile data from vehicles, the AutoMat ecosystem heavily builds upon current trends in Big Data. Exemplary service scenarios, driven by service providers dedicated to generate concrete businesses from the AutoMat ecosystem, are developed in the context of meteorological data based hyper local and extended innovative enterprise service domains. By defining an open value chain, the proposed AutoMat ecosystem enables and stimulates parties from different sectors to focus on their core businesses and to excel collaboration with other partners. AutoMat therefore may serve as incubator for new business opportunities strengthening Europe's position as provider of innovative cross-sectorial and cross-border Big Data services. The latter aspect is actively stimulated during the project by an Open Service Contest based upon the AutoMat Big Data ecosystem.

Keywords: vehicle big data,cross sectorial services,vehicle data marketplace
Peer ethnography for the promotion of patient and public involvement: young people and sexual health service development. (PE4PPI)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-08
End date: 2017-09-07
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

This project will make an innovative contribution to patient and public involvement (PPI) in health through the application of an innovative peer ethnographic method, which offers the potential for new knowledge unobtainable through other qualitative research methods. A group of young people will be trained to conduct ethnographic research amongest their peers on gender relations, sexual initiation and behaviour, perceptions of sexual health services, and priorities for support. The team of peer researchers will be trained and supported in communicating the findings of their research with key stakeholders working in YP’s sexual health service provision in one region of the UK. The project will have several lasting impacts: it will provide important insight into the value of peer ethnography as a methodology to be used within PPI, contribute to new knowledge for evidence-based policy-making and service provision in the field of YP’s sexual health, and will equip a group of young people (YP) with important research, communication and advocacy skills. The project will enable the beneficiary to develop critical new skills and experience in the implementation and analysis of PPI in health, while at the same time broadening her interdisciplinary experience and expertise in applied anthropological research methods. She will also gain new skills in training and conducting research with YP. Dr White’s employability will be significantly enhanced through the tailored mentoring provided by her supervisor and other experts at the University of West of England (UWE) and the practical skills she acquires working on the proposed project. By the end of the Fellowship she will be equipped with the expertise and experience necessary to pursue an independent research position, enabling her to progress from the position of Research Fellow to Senior Lecturer, setting her firmly on the path of a professional academic career, towards an Associate Professorship and beyond.

Keywords: anthropology,sexual health,young people,public and patient involvement,applied research
Innovative micro-abrasive Water Jet for high precision machining and finishing (NEWERA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Italy
Call: Accelerating the uptake of nanotechnologies, advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2015, 2015)
Start date: 2015-09-01
End date: 2015-12-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Founded in Legnano (Italy), in 1940, our company Vito Rimoldi S.p.A. is one of the leaders in manufacturing of gaskets for industrial applications (e.g. for aluminium radiators, compressors). Since the very beginning our policy has been to distinguish ourselves by providing the international market with new and high quality products fitting the most advanced applications. To do so, through successful collaborations with industrial leaders and university centres, we have pursued our aim for excellence, increasing our know-how and technical competences. This allows us to have a team of experts to assist our customers with their new challenging projects and identify and enter new value niche markets to increase our turnover (€7.0M in 2013). Vito Rimoldi has been continuously challenging the current State-of-the-Art in terms of high-precision cutting of materials, both soft (rubber, plastic) and hard (carbon fibre, tungsten, quartz, titanium, ceramic). Over the years, we have acquired a leadership position in Water Jet technology. Our NEWERA project will provide the industry with a solution to the challenge of machining small parts (<1mm) that require a high degree of accuracy (<10μm), tolerance (± 10μm) and finishing (Ra<1μm) Based on a new Micro-Abrasive Water Jet system, NEWERA will allow high precision, finishing and control, and therefore enter niche markets for high precision mechanics, electronics, biomedical, automotive and high finishing of fashionable/luxury items (e.g. watches, jewellery), thus subsequently increasing our sales by 40% within 5 years.

Keywords: water jet,abrasive,cutting tools,machining,gaskets,high pressure,miniaturisation
A fuel saving, emission reducing and cost effective Continuosuly Variable Transmission for European passenger vehicles (KRG-250)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Germany
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-12-01
End date: 2017-02-28
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

A transmission system converts engine speed into drive speed. Manual and automatic systems dominate the market; in Europe, manual transmission is favoured but automatic popularity is increasing due to its smooth driving experience. However, these systems suffer from comparatively low efficiencies. In addition, neither manual nor automatic helps manufacturers meet stringent emission regulations. Powertrain innovations, including continuously variable transmission (CVT), aim to overcome this issue. CVTs hold the third largest market share but have problems with hydraulic control systems that limit achievable efficiency. Our fully patent protected solution, the KRG, is a cone ring CVT, which eliminates the need for hydraulic control through our novel ring adjustment system. The KRG is lighter and smaller than competition, this allows us to offer 20-30% production cost savings with users benefiting from 25% improved efficiency and up to 20% reduced fuel consumption and CO2 savings. Previous development includes a micro-car KRG that is currently being commercialised in Asia; we are now seeking funding to support development and advancement of our product’s capability to support larger vehicles for the European market with the intention of rolling-out in Europe by 2020. Following successful commercialisation, we have provisionally forecast a five-year ROI to the EC of 8:1. However, to realise sales and achieve this, we must generate full customer confidence in performance and commercial benefit generation at scale under commercial operating conditions. This Phase 1 Feasibility study will allow us to identify and plan critical development activities and test our proposed business model with the European market. This will place us in a strong position going into an extended development project, as we can be confident in solution uptake following market launch.

Keywords: powertrain,transmission,emissions,efficiency
Movement of Harbour seals: an individual-based modelling framework as a reliable management tool (AgentSeal)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-01-01
End date: 2019-12-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Understanding movement is fundamental to animal ecology in areas such as foraging, predator avoidance, mate encounter, and migration. Moreover, movement responses of individuals to the changes in environment such as disturbance will affect their individual performance. Effective conservation of species in an altered habitat must, therefore, be built on an understanding of the link between environment and animal movement. Declines in local populations of UK Harbour seals give cause for concern and disturbance have been suggested as possible cause for the declines. The ways in which stressors influence animals may not be straightforward as they may show very non-linear responses. The main objective of the project is to build a realistic movement model and to predict the consequences of simultaneous and cumulative effect of different stressors on harbour seal movement based on biologically realistic processes. The proposal aims to develop an individual-based model (IBM) that takes into account individual variation in behaviour and simultaneous effect of a range of stressors operating at different spatial scales on movement of seals. IBMs are currently the most reliable ways to address combinatorial problems where essential processes such physiology, ecology, life cycle, and multiple stressors have to be included in order to get a realistic picture of the studied problem. The model will be based on the impressive amount of data already collected for Harbour seals during the last 20 years, fitting the 3Rs: replacement, reduction and refinement principle, and parameterised using most up-to-date statistical techniques. The model will be readily adaptable to take account of additional marine stressors, and to simulate long-term effects on movement of seals. Through simulations, it will then be possible to suggest answers to important ecological questions and to use the model as a management tool to meet demand from conservationists and developers for ‘what if’ scenario.

Keywords: movement ecology,individual based modelling,marine mammals
Magnetite surface properties in the various conditions of power plant water steam cycle (MSP)

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: Chemistry
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-07-01
End date: 2020-06-30
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

Owing to availability losses and the tremendous associated costs, improvement of the understanding of deposition mechanisms in boiler tubes is defined as a high priority in power industry. The electrostatic interaction between the suspended colloidal particles of corrosion products and the metal wall surface is the crucial factor that determines the deposition process and influences their deposition rate. The proposed project suggests a new approach to reduce the deposition by altering the surface characteristics of the suspended particles, potentially forming deposits, increasing the electrostatic repulsion between the particles and the inner boiler tube wall. Magnetite is a most profuse deposit compound.The main objective of the proposed project is to determine the effect of octadecylamine, oleylamine, oleyl propylenediamine, acetate, formate, glycolate, propionate, and aluminium on magnetite surface charge, zeta potential and the deposition rate at high temperatures. The surface charge and zeta potential are the key parameters that control colloidal stability of particles and their deposition on the boiler tube walls. Experiments will be carried out under different operating conditions (T,P, water chemistries) which simulate the plant water steam cycle conditions. The zeta potential measurements will be performed in the range of 25 to 80 oC employing the electrophoresis technique, the surface charge between 25 and 290 oC using the acid-base potentiometric titration and the deposition rate measurements between 25 and 150 oC using QCM-D. The parameters describing the magnetite surface in various conditions will be obtained. The research will result in the establishment of relations between the solution composition and the chemistry of the colloidal particles over a broad range of temperatures. The obtained results will serve as a basis for the development of tools to reduce the boiler tube failures and enhance the reliability and performance of the power plants.

Keywords: power plant chemistry,power plant water steam cycle,water technology,energy,tube fouling,thermal power plant,boiler tube deposits,power generator,magnetite surface properties