Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Physiological, biochemical and transcriptomic responses to salinity excess in the seagrass Posidonia oceanica provide insights of tolerance mechanisms and tools for environmental biomonitoring (OSMOTIC SEAGRASS)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: SIGNED

Desalinization has become an important water management activity, Especially in countries along the Mediterranean Seashore. Desalination produces a discard of brines which are directly discharged to the subtidal; these can cause detrimental effects on coastal communities, most of which are nurtured by seagrass meadows. Posidonia oceanica is a protected seagrass, base of the most ecologically and economically important ecosystems along the Mediterranean coast. Our project aims to assess the effects of brines on the stress metabolism of P. oceanica through laboratory- and field-based experiments. We aim to provide insights of tolerance mechanisms through observations on antioxidant metabolism, osmotic regulation and the whole transcriptome; this will be contrasted with observations on the physiology and primary metabolism. Laboratory experiments can provide valuable information on specific metabolic features but do not necessarily represent responses at the natural, more complex, environment; in contrast, field observations denote responses under realistic conditions but lack information that can be attributed to specific stressors. In this context, the latter will provide valuable information on mechanisms to thrive under hypersalinity and contribute to study biomarkers that could act as environmental biotechnology tools to follow the extent of brine impacts. The research will be led Dr. Claudio Sáez, experienced researcher in the field of biochemical and molecular stress metabolism. Groups of Prof. José Luis Sánchez-Lizaso at Universidad de Alicante (beneficiary) and Dr. Juan Manuel Ruiz at the Spanish Oceanographic Institute (secondment), in addition to the Spanish Association of Desalination and Reuse (industry link) through Dr. Domingo Zarzo, will support the researcher to develop this interdisciplinary project that merges the expertise of highly achieved scientists in the areas of ecology, physiology, biochemistry, transcriptomics and innovation.

Keywords: marine angiosperm,desalination,brine,transcriptomics,oxidative stress
Hybrid Bead Adsorbents (Hybead)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Spain
Call: ERC Proof of Concept Grant (ERC-2019-PoC, 2019)
Start date: 2019-07-01
End date: 2020-12-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Each year, millions of people, most of them children, die from diseases associated with inadequate water supply, sanitation and hygiene. In particular, exposure to heavy metals in drinking water, even at trace levels, poses a considerable health risk. As included in one of the seventeen sustainable development goals of the United Nations, “safe water and adequate sanitation are indispensable for healthy ecosystems, reducing poverty, and achieving inclusive growth, social well-being and sustainable livelihoods”. In this PoC project, named Hybrid Bead Adsorbents (Hybead), we aim to evaluate the feasibility of advancing Hybrid Inorganic Nanoparticle/Metal-Organic Frameworks Bead-type adsorbents into the pre-commercial stage, with the aim of accelerating their access to the market as an efficient technology for removing heavy metal ions from water. The first part of Hybead encompasses scaling-up of our current spray-drying synthesis of these beads from the gram-scale to economically viable kilogram-scale production. We will also shape the composite beads for proving its use into existing water purification technologies. This will entail shaping Hybead into granules and integrating them as fillers into polymer matrices to produce membranes by common industrial-scale methods (e.g. compaction and solvent casting). The second part of Hybead will be dedicated to intellectual property (IP) and market aspects needed for the pre-commercialization of this new technology for water purification. This study will include a patentability study, a freedom-to-operate (FTO) analysis and a market study to identify the filter producers that could ultimately serve as manufacturing partners. In this project we will endeavor to assess the commercial viability of with Hybead adsorbents, accelerate their market entry and ultimately, explore the possibility of launching a spin-off to manufacture and commercialize viable products.

Keywords: metal organic frameworks,inorganic nanoparticles,composites,adsorbents,water purification,heavy metal ion removal,filtration
The consequences of the joint individual variation in size specific life histories and behavioural types (BT-LH Link)

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: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-06-01
End date: 2017-05-31
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

Individual variations in body size and in behavioural types within a population have, each separately and in isolation, been shown to strongly determine the dynamics and stability of populations and their responses to perturbations and environmental change. However, both aspects of individual trait variation are fundamentally joined by their influence on individual life history traits which ultimately determine population level phenomena through individual growth, maturation, reproduction and survival. Taking this interplay into account can be argued to affect and even reverse predictions of each stand-alone approach. For this reasons, the proposed research project will, using an experimental system with the model species Heterandria formosa that combines individual level and long term population level manipulations, investigate the consequences of and mechanisms behind body size specific, density dependent life history traits linked to behavioural types. Clear hypotheses about total population density, population size structure and dynamics in constant and stochastically variable food environments will help to separate the effects of different sources of individual trait variation and investigate their joint population level effects. After a time of onceptual theorizing, experimental data are now desperately needed to confirm, test and further develop novel ideas and concepts. By integrating two so far isolated approaches (advanced behavioural biology and state-of-the-art population theory) the project will thus contribute to the current paradigm shift in population ecology which is increasingly focusing on the consequences of individual trait variation, helping to formulate a more comprehensive and synthetic theory of population biology.

Keywords: animal personality,behavioural types,size structure,life history,individual traits
An Innovative Method for Improving the Structural Integrity using SMA Revolutionary Technology (InnoSMART)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Italy,Greece,United Kingdom,United Kingdom
Call: FET-Open research projects (H2020-FETOPEN-2014-2015-RIA, 2014)
Start date: 2015-07-01
End date: 2018-06-30
Duration (months): 36.0
Total project cost (EUR): 1995113.0
EU funding (EUR): 1995113.0
Participants: 4
Project status: CLOSED

The project proposes to develop a revolutionary coating that will be able to alter and control the mechanical properties of materials by external stimuli. This novel coating will be able to contribute to the stiffness and rigidity of an elastic metallic structure, to withstand the expected loading conditions safely, to enhance the integrity of a damaged structure and at the same time to protect it from corrosion. Such coating can bring multiple breakthroughs from the design level to the maintenance and repair level of the structure. The innovative compounds of the proposed coating are elements of smart materials - Shape Memory Alloys (SMAs). SMA elements are designed materials that have one or more properties that can be significantly changed in a controlled fashion by external stimuli. They can sense temperatures or stress as a function of change in damping, stiffness, electrical resistivity and deflection. It is specifically the latter aspect, which makes SMAs highly interesting for the particular application, since it is the actuation function built into the material. The innovative concept of the coating is described briefly as follows: upon mechanical loading the structure and hence the coating are deformed together as a system. However, by heating the coating, the SMA elements tend to recover their experienced deformations and return to their original shape. At this point, shear forces will be developed to the interface between coating and structure. The developed shear forces are expected to mitigate the deformation of the structure and reduce the level of the stress field. The latter is a great benefit for the regions, where cracks exist, since the local reduction of the stress field will delay the crack propagation and hence the structural failure. Finally, the coating will be also followed by a system that will ensure a satisfactory cover of the metallic surface, as well as a module for assessing the effect of any structural defects that may exist.

Keywords: mechanical and structural properties,shaped memory alloys,coating
Logical and Psychological Foundations for a Teleosemantic Theory of Productivity (TeleoLogic)

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: 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): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: TERMINATED

How can we understand sentences we’ve never heard before? What distinguishes meaningful things from nonmeaningful things? These questions pose the problems of productivity and intentionality, respectively. These questions have typically been addressed independently. While this modular approach certainly has advantages, no solution to either problem is fully adequate unless it satisfactorily integrates with a solution to the other. Moreover, work on these problems, especially the problem of productivity, has traditionally interacted only peripherally with psychological work on language understanding and language development. This project will explore the prospects of a leading theory of intentionality, teleosemantics, in addressing the problem of productivity. It will build a recent psychological theory of information management into the core of the theory of productivity. A growing body of literature surrounds the problem of productivity for teleosemantics, but the theory is not yet adequately predictive. By contrast, the traditional approach to the problem of productivity uses mathematical logic in the analysis of natural language. This clear formal structure allows for precise formulation and testing of hypotheses. Teleosemantics cannot be a legitimate alternative unless it provides similar predictive power. The project’s overarching question, “What should logic look like for a teleosemanticist?”. I will draw on my background in formal semantics and developmental psychology. Existing psychological theory of information management (a) faces similar problems as teleosemantics w.r.t. the problem of productivity and (b) has substantial resources for addressing those problems. Bringing these fields together provides a novel perspective on the overarching question. This will yield a teleosemantic theory where precise semantic hypotheses can be developed and tested and, ultimately, an alternative model of the fundamental mechanics of language.

Keywords: developmental psychology
InSilc: In-silico trials for drug-eluting BVS design, development and evaluation (InSilc)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Methods and data
Action type: Research and Innovation actions
Countries involved: Ireland,Italy,Italy,Greece,Serbia,Belgium,Greece,Netherlands,United States,United Kingdom,United Kingdom
Call: In-silico trials for developing and assessing biomedical products (H2020-SC1-2017-CNECT-2, 2017)
Start date: 2017-11-01
End date: 2021-04-30
Duration (months): 42.0
Total project cost (EUR): 5839656.25
EU funding (EUR): 5839656.25
Participants: 13
Project status: CLOSED

The aim of InSilc is to develop an in-silico clinical trial (ISCT) platform for designing, developing and assessing drug-eluting bioresorbable vascular scaffolds (BVS), by building on the comprehensive biological and biomedical knowledge and advanced modelling approaches to simulate their implantation performance in the individual cardiovascular physiology. The InSilc platform is based on the extension of existing multidisciplinary and multiscale models for simulating the drug-eluting BVS mechanical behaviour, the deployment and degradation, the fluid dynamics in the micro- and macroscale, and the myocardial perfusion, for predicting its interaction with the vascular wall in the short- and medium/long term. InSilc goes beyond the design and development of ISCT and lays on the generation of in-silico models for obtaining quick and informed answers to several “What if” scenarios. “Virtual” patients would be given a “virtual” drug-eluting BVS, for observing the performance of the scaffold, assess and quantify the intended effect, with a deeper understanding than normal trials can provide. By integrating the information obtained from different in-silico predictive models, InSilc will: (i) assist in the development, assessment and optimization of the drug-eluting BVS and deliver accurate and reliable information to the Stent Biomedical Industry, (ii) assist the interventional Cardiologists in improving the surgical process of drug-eluting BVS implantation, support them in the clinical assessment and reduce the complications of suboptimal scaffold performance. By introducing computer simulations for establishing the safety and efficacy of drug-eluting BVS, InSilc aims to lower development costs and shorten time-to-market, reduce, refine, and partially replace human clinical trials through a more effective human clinical trials design, reduce the need for animal testing and result in a significant reduction of the associated direct and indirect costs.

Keywords: drug eluting bioresorbable vascular scaffolds,in silico trials,multiscale models,microscale,macroscale,safety,efficacy,virtual population,lower development costs,shorten time to market
Photovoltaic module life time forecast and evaluation (SOLAR-TRAIN)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Austria,Spain,Germany,Italy,Austria,Spain,Italy,Germany,Slovenia,Belgium,Slovenia,France,Netherlands,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2016, 2016)
Start date: 2016-09-01
End date: 2020-08-31
Duration (months): 48.0
Total project cost (EUR): 3576247.56
EU funding (EUR): 3576247.56
Participants: 19
Project status: CLOSED

The quality assurance in the photovoltaic industry is yet in its infancy, requiring both underpinning science and trained personnel to reduce costs of energy. An unmet industrial requirement is an accelerated, and operating environment specific, service life time and energy yield assessment. SOLAR-TRAIN will qualify ESRs in the field of PV durability as part of a highly innovative, multi-disciplinary project meeting industry requirements. The objective is to develop novel, validated models for the service life time and energy prediction of PV modules and systems. The elements to this puzzle are researched in the frame of 14 PhD projects with individual areas of focus, such as (a) climatic degradation factors, (b) system analytics, (c) material (polymer) parameters, (d) service life & energy models, (e) linking production to performance and (f) performance enhancement by improved O&M. Commercial and test samples will be produced and tested in the distributed measurement campaign during this project. They will be exposed to state-of-the-art and to-be-developed stress cycles to allow a validated link of degradation to stresses, production methods, materials and methods of deployment. Accelerated and lower cost test cycles for the assessment of innovative materials and module developments will be delivered. The project is integrated both in terms of research as well as training. This inter-sectoral approach provides excellent theoretical and technical background as well as immersion in different business sectors and career mentoring, allowing ESRs to build up a sustainable professional network across Europe. For a most effective cross-sectoral training, the project’s beneficiaries and partners represent the entire value chain, from materials developers / manufacturers through to operators and insurance companies. SOLAR-TRAIN will deliver on the targets stated in Issue Paper No. 2 of the SET Plan to maintain and strengthen PV leadership in Europe.

Keywords: renewable energy,pv modules,pv systems,reliability,service life prediction,accelerated testing,yield prediction
CathVision Cube: disruptive data-driven guidance for successful cardiac ablation therapy (CathVision Cube)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-08-01
End date: 2021-07-31
Duration (months): 24.0
Total project cost (EUR): 3169281.25
EU funding (EUR): 2175621.0
Participants: 1
Project status: CLOSED

Cardiac arrhythmias are projected to rise during next years. The most prevalent type, Atrial Fibrillation, is projected to increase in the EU from 8.8m in 2010 to 17.9m by the year 2060, leading to a strain on physicians and health systems. Thus, better ablation guiding tools will be necessary to help physicians more efficiently identify, characterise and treat arrhythmias, facilitating training of new electrophysiologists, while reducing procedure and medicine costs. Sex-specific CVD also needs to be better addressed, as it is currently often misdiagnosed in females due to smaller cardiac signals and standards based on male physiology. CathVision Cube is a low-noise electrophysiology (EP) recording system that combines a cutting-edge amplifier with AI assisted decision-making and easy-to-use user interface. Physicians will have access to exceptional EP signals thanks to proprietary hardware technology that reduces noise, prevents signal artefacts and improves signal quality. Doctors will also gain electrogram-driven clinical decision support through the intuitive and logical graphical interface of our AI-software, which allows proper identification of arrhythmogenic areas and guidance to a successful ablation – particularly important for less experienced EP physicians. Moreover, our system enables data export to Electronic Medical Records (EMR), integrates seamlessly into the hospital environment and is also compatible with third-party equipment. Our goal is to mature, pilot and commercialise our CathVision Cube – the world first low-noise EP recording system and AI-assisted decision-making for physicians performing cardiac ablation therapy. A successful CathVision Cube project will create measurable impacts on our company, quantified as accumulated revenue of €457m in 5 years (2021-2025), accumulated operating profit of €348m, creating 45 FTE in our value chain, generating €1.35m in reduced annual costs per hospital and unlocking public savings of €1.1bn by 2025

Keywords: ai clinical decision support,low noise electrophysiology recording system,atrial fibrillation af,arrhythmia,catheter ablation therapy,amplifier,low voltage,high bandwidth,unipolar,bipolar
Crack growth threshold analysis in TiAl alloys (TiAlCracks)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Austria,Austria
Call: Crack growth threshold analysis in TiAl alloys (H2020-CS2-CFP01-2014-01, 2014)
Start date: 2016-03-01
End date: 2019-10-31
Duration (months): 44.0
Total project cost (EUR): 439182.5
EU funding (EUR): 439182.5
Participants: 2
Project status: CLOSED

The objective of the project is to investigate the fatigue crack growth (FCG) threshold and rate for long as well as short cracks of second generation TiAl alloys suitable for use in the Intermediate Pressure Turbine (IPT) of the UltraFanTM engine. The work includes in detail all investigations specified in the Call for Proposals JTI-CS2-2014-CFP01-ENG-03-04, that are: • determination of the FCG threshold and rates at load ratios R of 0.1, 0.5, 0.8 at room temperature and at 750 °C, • determination of the variation of these material properties at room temperature for three different heat treatments (centre and extremes of the heat treatment window) at load ratios R of 0.1, 0.5, 0.8, and • determination of the effect of defect type (defects from manufacturing, handling and foreign object damage (FOD)), morphology and size on the fatigue properties at room temperature and at 750 °C at load ratios R of 0.1, 0.5, 0.8.

Keywords: fatigue crack growth threshold,fatigue crack growth rate,long fatigue cracks,short fatigue cracks,tial alloy