Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The Augnet Platform - Using Internet Protocol as the SMS Data Communication System (IP-SMS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-06-01
End date: 2019-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Augnet Ltd, founded by ex-Skype Senior Manager Daniel Gill, has developed a revolutionary data communication system to address the current challenges faced by the Application-to-Person (A2P) SMS industry. With a team of industry and technology expertise, Augnet has advanced this patent-pending technology, “Platform,” to an initial prototype, having demonstrated its functionality with one of the world’s largest SMS aggregators. The current A2P SMS market, valued at €55bn, enables app owners (banks, booking sites, airlines etc.) to communicate with consumers via SMS, with high message volumes handled through aggregators. SMSs are then sent through network operators such as Vodafone. However, there is deep industry distrust between SMS suppliers and operators due to lack of quality assurance, and in particular, growing controversy over ‘killed’ messages; whereby messages are not sent to users to increase operator profit margins. With the current delivery process unchanged in 20-years, the industry is ripe for innovation that will rebuild trust and improve service provision. The Augnet data communication system bypasses network operators and provides SMS suppliers with an auditable service at significantly reduced price point. Augnet’s Platform is a backend network that requires no end-user interaction, significantly enhancing scalability and integrating with existing infrastructure. A leading SMS traffic aggregator is already secured and advanced discussions with further organisations are set to generate further positive outcomes. The proposed feasibility study will extensively evaluate technical and commercial elements of the Augnet Platform, determining the probability and requirements for rapid market entry. Outputs will support the next stage of development, leading to full market launch; unlocking the substantial market opportunity that a trustworthy and significantly cheaper alternative to the current outdated and exploitive market provision provides.

Keywords: data communication system,network integration,backend,auditable,cloud,algorithms,internet protocol,encryption
Spatial-temporal regulation of APC/C, its role on G1 arrest and impact on terminal differentiation (STOPAPCG1IMP)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-01
End date: 2017-08-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Coupling the cell-autonomous process of the cell cycle with spatiotemporal clues that promote the differentiation process is a major challenge in developmental biology. The retina aberrant in pattern (rap) gene was initially identified as a retina differentiation and patterning gene in Drosophila. It was later discovered to encode Fizzy-related (Fzr), a coactivator of the cell cycle regulator, Anaphase Promoting Complex/Cyclosome (APC/C). This was a critical initial step towards establishing a link between differentiation and cell cycle regulation. This project aims to understand the coordination between mechanisms of proliferation and differentiation, with a particular focus on the APC/C complex. The requirement of individual APC/C components to sustain the developmentally controlled G1 arrest and its subsequent effects on terminal differentiation will be addressed. The transcriptional and posttranslational regulation of each APC/C component will be assayed during eye development. Next, functional APC/C interactors will be identified through two complementary screens. An in vivo gain-of-function overexpresion screen will be performed, to identify the genes that can induce cell cycle arrest in overproliferating tissues, using the newly developed FlyORF library. Additionally, a proteomic analysis of APC/C components will be performed to identify eye-specific APC/C interactors. With the information gained I will investigate how the activity and expression of the APC/C is spatial-temporally controlled by signalling cascades during eye development, and how the APC/C in turn modulates the activation and output of those signalling pathways. Overall, the insights from this project will contribute to our understanding of complex diseases such as cancer and neurodegeneration.

Keywords: cdh1,cdc20,cdc16,terminal differentiation,cell cycle exit,g1 arrest,eye development,flyorf,proteomics,morphogenetic furrow
METAbolism analysis made easy for CELL Translational Medicine (METACELL-TM)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Ireland,Germany,Germany,Ireland,Netherlands,United Kingdom,United Kingdom
Call: Fast Track to Innovation Pilot (H2020-FTIPilot-2016-1, 2016)
Start date: 2016-11-01
End date: 2019-04-30
Duration (months): 30.0
Total project cost (EUR): 3313827.5
EU funding (EUR): 2459616.13
Participants: 7
Project status: CLOSED

The healthcare industry is experiencing unprecedented rates of drug failure, long development times and high costs - because current lab tests and disease models (in vitro) don’t adequately predict drug effect in the patient (in vivo). To address this “Challenge”, three leading EU SMEs; Luxcel Biosciences Ltd, Axiogenesis AG and BMG Labtech GmbH, are partnering to bring to market, a fully integrated targeted metabolomics Test Platform, comprising physiologically relevant in vitro cell assays and easy to use test kits, configured for use with the multimode fluorescence plate reader; instrumentation, which is installed in, or else is easily accessible to every cell biology lab globally. The innovation “Solution" is made possible by Luxcel’s unique and patented optical nanosensor technology, and its integration to create entirely new ‘functionally-connected’ in vitro tests. The scope of the project is to finalize development of the cell-based assay platform towards market introduction, productise, pilot and demonstrate it with key opinion leaders; for modular product launch through the project and full launch early 2019. Leveraging existing global sales channels, the three industrial partners are targeting revenues of EUR 15 million by 2023. In total, about 24-29 new jobs will be created by 2023; with 6 new jobs during the project. All three SMEs are passionate about the MetaCell-TM solution, and expect that a successful outcome will see them positioned as No. 1 in their respective fields in Europe and internationally.

Keywords: nanoparticle,fluorescence,optical sensor,in vitro cell based assays,metabolism,microtitre plate reader,translational medicine,oxygen
Functional ingredient from fermented vegetable waste streams to diminish the use of antibiotics in pig husbandry (PLANTIBIOTICS)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: SME instrument
Countries involved: Netherlands
Call: Resource-efficient eco-innovative food production and processing (H2020-SMEINST-1-2015, 2015)
Start date: 2015-10-01
End date: 2016-03-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

PROVALOR is a highly innovative Dutch SME dedicated to the development of functional foods located in Hoofddorp (The Netherlands) and employing 15 people. Since 1998 we have been working in processing food wastes, particularly from vegetable remnants and obtaining functional ingredients for human consumption. Our strategy focuses in obtaining high-value ingredients, and we have a vast know-how in this field having released to the market several successful products such as foodfibers refined from vegetables, a meat substitute made exclusively from vegetables (first without soja), and juices refined from vegetable remnants. We have obtained a functional extract from fermented vegetable remnants through our ad-hoc exclusive methodology. When included as a functional ingredient in pig feed in an amount of 0.02-0.05%, it promotes agglutination of hazardous bacteria in the pig’s gut, allowing them to get expelled with the faeces, minimising illnesses and reducing the necessity of the use of antibiotics. Antibiotics are a key tool against infectious bacterial diseases. The use of sub-therapeutic doses of antibiotics in food-animal feeds (growth promoters) has been a very common practice to prevent animals from diseases and to improve production performance in intensive animal husbandry, but this practice has been banned since 2006. This problem is a big issue, in the EU and worldwide, and great effort is being put to find viable alternatives. Actually there is a recently constituted Focus Group within EIP-AGRI, dedicated to “Reducing antibiotic use in pig farming”. They encourage to “further examine use of plant-based pig feed additives”. We have obtained an effective solution in this line, and considering an average content of 0,04% of PLANTIBIOTICS there is a potential market for 20.000tn yearly only in the EU.

Keywords: antibiotics,pig husbandry,feed,animal health,functional ingredient
Multiscale Analysis of AiRframe Structures and Quantification of UncErtaintieS System (MARQUESS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: United Kingdom
Call: Development of a Multi-scale method to predict large aircraft component failure taking into consideration Manufacturing Uncertainties for Predictive Virtual Simulations (H2020-CS2-CFP04-2016-02, 2016)
Start date: 2017-06-01
End date: 2021-05-31
Duration (months): 48.0
Total project cost (EUR): 797231.25
EU funding (EUR): 797231.25
Participants: 1
Project status: CLOSED

MARQUESS has been specifically designed to address the challenges outlined in the Topic Description reference JTI-CS2-2016-CFP04-LPA-02-15 to fit into the activities of WP2.4.3 in the LPA IADP in Clean Sky 2. MARQUESS will serve as a valuable precursor to the above as it will enable comprehensive modelling and simulation studies to optimise decision making regarding the structural design of aircraft platforms. The outputs from this project will be applied to two Clean Sky Demonstrators to illustrate the benefits of multiscale modelling, whereby detailed models can be analysed and easily interprested by designers without having to undertake the same levels of effort and computational resource as one would have to if performing detailed modelling and simulation of the whole structure. UNOTT has vast experience of performing such work with projects analysing a range of aircraft components ranging from Aero-engine parts and structures through to landing gear components and bulkheads in major aircraft development programmes including both composite and metallic materials. Results from MARQUESS will deliver outstanding benefits for Europe on three levels. • On the commercial level, aircraft designers will be able to use the methods and tools based on the holistic multi-scale modelling techniques being integrated and developed in the project to enhance their competitive offering • On the societal level, the modelling framework will provide quantitative justification that will enable the design of more environmentally friendly aircraft, which will bring benefits in terms of reduced pollution and even enhanced mobility as there will be better scheduling of aircraft maintenance resulting in more reliable operation • On the scientific and technical level, where systematic integration of the length scales will open new avenues for research, including better integration of models that demonstrate the results of nanomaterials in large structures, for example.

Keywords: composites,modelling,simulation,finite element,solid mechanics,aircraft structures
Applying Metabolomics to Unveil follow-up treatment biomarkers and Identify Novel Therapeutic Targets in Glioblastoma (MaGMa)

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-2017, 2017)
Start date: 2018-04-04
End date: 2020-04-03
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

Glioblastoma multiforme (GBM) is the most common and devastating form of malignant brain tumour, containing self-renewing, tumorigenic cancer stem cells (CSCs) that contribute to tumour initiation and therapeutic resistance. The survival of such patients has not improved so much in the last 60 years, and we are still far to get any cure. Therefore, new methods for prognosis and diagnosis are needed, and it could come from better understanding of glioma biology. The link between cancer and altered metabolism is not new. Many observations were made during the early period of cancer biology research, identifying metabolic changes as a common feature of cancerous tissues to adapt to the necessities of the tumour. GBM comprises several phenotypic subtypes, each with distinguishing hallmark mutations, copy number alterations, epigenetic alterations, and clinical features, generating a different treatment efficacy. We believe that GBM subtypes will produce different patterns in the metabolite fingerprint and moreover the use of treatments will change them. In the present project we will use a metabolomic approach on a model of human CSCs isolated from fresh surgical tissue, to characterize two of the most extreme phenotypes; proneural and mesenchymal. We will map the tumour metabolite profile and the translation of this knowledge may lead to more personalized therapies. Besides that, we are interested in studying the metabolite profile of the extracellular vesicles (EV) released by those subtypes. This research effort is not only necessary to map the metabolome of EVs from different origins, but also to elucidate whether or not the metabolites are directly packaged into specific EVs, their possible function in surrounding cells, as the possibility of finding different metabolite profiles characteristic of tumour subtypes and moreover with a differential response to drugs that could be use as biomarkers.

Keywords: glioblastoma multiforme,extracellular vesicles
NOvel Quantum simulators – connectIng Areas (NOQIA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Spain
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-07-01
End date: 2024-06-30
Duration (months): 60.0
Total project cost (EUR): 2164243.75
EU funding (EUR): 2164243.75
Participants: 1
Project status: SIGNED

Quantum simulators (QS) are experimental systems that allow mimic hard to simulate models of condensed matter, high energy physics and beyond. QS have various platforms: from ultracold atoms and ions to superconducting qubits. They constitute the important pillar of quantum technologies (QT), and promise future applications in chemistry, material science and optimization problems. Over the last decade, QS were particularly successful in mimicking topological effects in physics (TEP) and in developing accurate quantum validation/certification (QVC) methods. NOQIA is a theory project, aimed at introducing the established field of QS+TEP+QVC into two novel areas: physics of ultrafast phenomena and attoscience (AS) on one side, and quantum machine learning (ML) and neural networks (NN) on the other. This will open up new horizons/opportunities for research both in AS and in ML/NN. For instance, in AS we will address the question if intense laser physics may serve as a tool to detect topological effects in solid state and strongly correlated systems. We will study response of matter to laser pulses carrying topological signatures, to determine if they can induce topological effects in targets. We will design/analyze QS using trapped atoms to understand and detect TEP in the AS. On the ML/NN side, we will apply classical ML to analyze, design and control QS for topological systems, in order to understand and optimize them. Conversely, we will transfer many-body techniques to ML in order to analyze and possibly improve performance of classical machine learning. We will design and analyze quantum neural network devices that will employ topology in order to achieve robust quantum memory or information processing. We will design/study attractor neural networks with topological stationary states, or feed-forward networks with topological Floquet and time-crystal states. Both in AS and ML/NN, NOQIA will rely on quantum validation and certification protocols and techniques.

Keywords: quantum simulators
Start Learning in 3D-Worlds with Powerful Memo-Techniques (Memorix)

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: 2019-12-01
End date: 2020-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

There is a high percentage of early leavers (11% among EU-28) and drop-outs among university students (31% among OECD countries). Students fail mainly due to demotivation and poor instructional materials being more eager to search for a job below their qualifications. One of the goals of the Europe 2020 strategy is to reach at least 40% of European adults (30-34 – year old) completing tertiary education (above school age) because today only 26% of the European workforce has this level despite the fact 35% of all EU job positions require this or higher level of education. Students are challenged with long-term memory and despite their efforts to retain information 80% of it is gradually washed away shortly after the exams increasing learning demotivation. Current digital tools are not properly supporting students in this challenge, and given that >75% of the curricular content of many disciplines are based on memorization, this is a priority challenge. Memorix app is our VR and AI powered mobile and web application that integrates emotional triggers and gamification elements helping students to well-stablish their long-term memory. To effectively engage students, Memorix app uses a co-creation approach where the student itself creates unique memory journeys in virtual 3D worlds, making the learning process intrinsically motivating. None of the current solution in the market offer a similar approach: co-creation in the front end and intelligence in the back end. Memorix app is a novel product into the Educational Technology market which exceeded €15.16 B globally by 2017 and is rapidly growing (18.3%/year). Applying a B2C business model, with Memorix app we estimate to reach 94,000 university students as subscribers by 2026 for a total cumulative profit of €24.9 million (€1.8 million Accelerator project investment, ROI of 12.5). This project will also help us to create at least 26 new qualified jobs.

Keywords: long term memory,artificial collaborative intelligence,virtual reality,social platform,emotional triggers
Foraging Behavior in children: A new way to understand attentional development (FORAGEKID)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Spain,United States,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-08-01
End date: 2021-09-06
Duration (months): 36.0
Total project cost (EUR): 257191.2
EU funding (EUR): 257191.2
Participants: 3
Project status: CLOSED

The understanding of human brain development is a crucial challenge in today’s society. It is fundamental to determine appropriate political and social policies in Education and Health for the future of our society: our children. Specifically, we need to be able to measure and understand how basic cognitive processes, such as the Executive Function (EF), operates in children. Basic research in visual foraging tasks has revealed essential knowledge about EF in adults, but it has never been applied in children. In the present project, I will apply for the first time in psychological science an innovative and multidisciplinary, theoretically-based paradigm to understand and measure EF in children: foraging. The research is based on theoretical models, behavioral data, eye-movement recordings and neuroimaging (fMRI). At my TC host, Wolfe’s Lab (Harvard), we will create new child-friendly, videogame-based foraging tasks, and I will be trained in foraging and eye-movement data analyses. With my Host at UNIVERSIDAD COMPLUTENSE DE MADRID, in Fernando Maestú’s Lab, we will assess the new tasks to determine their validity and applications to train EF in children by means of behavioral and neuro-functional measures using fMRI. My aim is to advance the theoretical knowledge about EF processes in children, and improve cognitive assessment products. Commercialization of the newly developed tests will be exploited together with the industrial partner, Cambridge Cognition, a company producing cognitive assessment tools. I will be trained in the different steps of preparing a business plan to transfer our product to society. The outcome will be significant for the development of technology, products, and strategies to meet the needs of the youngest members of our population.

Keywords: experimental psychology,visual search,executive functions,foraging,children,eye movements,fmri