Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A real-time forecast decision support system for the food supply chain (FreshProof)

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: Environment and Geosciences
Countries involved: Ireland,United States
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-12-01
End date: 2021-12-02
Duration (months): 36.0
Total project cost (EUR): 266063.4
EU funding (EUR): 266063.4
Participants: 2
Project status: CLOSED

The project proposes an innovative systems approach to address existing food supply chain waste and shortcomings in food safety, integrity and traceability. FreshProof is a forecast decision support system to deliver accurate, real-time and on demand food product shelf-life prediction along the farm-consumer supply axis. It will exploit a novel monitoring system of multi-sensor units designed to monitor an array of critical environmental conditions when positioned in the field (pre-harvest) and during processing and distribution (postharvest). Each unit will be networked to a cloud based platform receiving an essential flow of real-time data. Advanced chemometrics and data fusion algorithms will be employed to mine and merge this data with data on products multiple quality attributes, nutritional value and safety, (obtained during laboratory simulation). This state-of-the-art system will for the first time employ a holistic approach combining both pre- and postharvest conditions in a single decision support tool and the first to implement prediction models to determine the remaining shelf-life and nutritional value of a product to consumer level. FreshProof is built on the applicant’s existing technical and research competencies in bioprocess engineering, food chemical analysis and chemometrics, enabling her to transfer, develop and apply these skills to food quality, safety, integrity and traceability systems. The applicant will reinforce the international aspect of her career development through training at the University of South Florida (USF) from Prof. Nunes and her research team - pioneers in the application of multi-sensor platforms across supply chains. During the return stage at University College Dublin (UCD) under the guidance of Prof. O’Donnell the researcher will transfer the knowledge gained to the EU whilst validating and promoting FreshProof across EU stakeholders.

Keywords: food supply chain,shelf life,food security,food traceability,food quality,data mining,biotechnology,sensors,spoilage kinetics,food safety
Design and Realization of equipped engine compartments including cowling for a fast compound rotorcraft (DREAM)

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: Poland,Czechia
Call: Design and realization of equipped engine compartments for a fast compound rotorcraft (H2020-CS2-CFP03-2016-01, 2016)
Start date: 2017-01-01
End date: 2021-12-31
Duration (months): 60.0
Total project cost (EUR): 1454805.35
EU funding (EUR): 1249600.0
Participants: 4
Project status: CLOSED

Continuously increasing number of flights and predicted further growth of air travel, results in increased impact on environment and is a challenge facing aviation industry in terms of finding new and more environmentally-friendly solutions that can enter into service in a relatively short period of time. Moreover increasing expectations in terms of door-to-door mobility underlines the need of searching for more affordable and better performance solutions. Modern compound rotorcraft, better than the currently used helicopters, in terms of fuel consumption, impact on environment, cost and performance shall fulfil this expectations. Listed above features are a result of combination of individual components' features of the rotorcraft, like the equipped engine compartments which design and realisation is the aim of the (JTI-CS2-2016-CFP03-FRC-02-11 CS2) project. The DREAM project proposes realisation of the above topic by three different companies from Poland and Czech Republic, among which are research institutes and manufacturing plant. DREAM will cover design and manufacturing activities of the engine compartments together with flightworthiness substantiation. Annex 1 of the Grant Agreement describes the applicants' ambitions and main objectives as well as the way they will be achieved during the project realization - including description of the design and analysis approach, modern manufacturing technologies and solutions that are planned to be implemented. Expected impact of the project has been described. Implementation of the new solutions, work breakdown and description of each work-package (including timing, description of tasks, deliverables and milestones) has been provided. Applicants' profile descriptions including their capabilities, research and development activities and also descriptions of national and international projects in which they were involved, are also included.

Keywords: fast rotorcraft,composite,green,technology,manufacturing
The Extracellular Vesicle Foundry (evFOUNDRY)

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: Estonia,Italy,Sweden,Netherlands,Denmark,United Kingdom
Call: FET-Open research and innovation actions (H2020-FETOPEN-1-2016-2017, 2017)
Start date: 2018-09-01
End date: 2022-02-28
Duration (months): 42.0
Total project cost (EUR): 2726516.25
EU funding (EUR): 2726516.25
Participants: 6
Project status: CLOSED

Extracellular vesicles (EVs) are natural cell-derived nanoparticles containing bioactive proteins and RNAs, which are newly recognized as the universal agents of intercellular and inter-organismal communication, in both normal and pathological processes. EVs are reshaping our perspective on life sciences, environment and public health. They are under intensive investigation as early disease multi-biomarkers, while EV-based personalized therapeutic agents and vaccines have produced enticing results in early-phase clinical trials. However, EV exploitation is not supported by current manufacturing methods, which are inadequate in terms of purity and reproducibility or yield, time and cost. evFOUNDRY targets a breakthrough technology able to streamline production of therapeutic EVs from sustainable sources, drawing the baseline for future EV bioprocessing, which is necessary for effective EV medical translation (large clinical trials and regulatory initiatives) and provides access to new EV applications (nanotechnology, nutraceuticals, cosmeceuticals, veterinary). To meet the challenge, evFOUNDRY will unravel how EVs and EV fluids interact with surfaces and leverage it to develop the first device for continuous production of high-grade EVs from milk and parasites, which are the most promising scalable sources of EVs with immune modulatory properties. Major objectives include: (i) to determine the compositional, structural and colloidal properties of EVs that control their interaction with surfaces; (ii) to engineer nanostructured surfaces integrated in microfluidic devices for separation of EV populations that are homogeneous in size and/or membrane properties from bovine milk and Ascaris incubation media; (iii) to design an integrated modular-system for the reproducible separation of these EVs under continuous flow; (iv) to implement a lab-scale prototype for the continuous production of quality-compliant immune modulatory EVs.

Keywords: extracellular vesicles,biological surface science,nanostructured surfaces,separation,bovine milk,helmints
Advanced methodology and tools taking advantage of storage and FLEXibility in transmission and distribution grid PLANning (FlexPlan)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: A single, smart European electricity grid
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Spain,Italy,Belgium,Serbia,Slovenia,Norway,Belgium,Belgium,Portugal
Call: Research on advanced tools and technological development (H2020-LC-SC3-2019-ES-SCC, 2019)
Start date: 2019-10-01
End date: 2023-03-31
Duration (months): 42.0
Total project cost (EUR): 4449770.85
EU funding (EUR): 4449770.85
Participants: 15
Project status: SIGNED

The current high-speed deployment rate of non-programmable Renewable Energy Sources (RES) is making transmission network planning activities more and more complex and affected by a high level of uncertainty. Because network investments are capital intensive and the lifetime of the infrastructure spans several decades, it may happen that when a new line is commissioned it is no longer the best option and it might be partially regarded as a stranded cost. There is an on-going debate on the selection of the more effective technologies that could contribute to system flexibility. This category doesn’t only include grid technologies, but also storage elements and flexible demand, both located in transmission or provided by opportunely aggregated distributed energy sources located in distribution networks. FlexPlanning aims at creating a new tool for optimizing transmission and distribution grid planning, considering the placement of flexibility elements as an alternative to traditional grid planning. This approach aims at helping to reduce overall power system costs i.e. infrastructure deployment and operation costs, the latter in terms of procurement of energy and system services. FlexPlan is going to take into account environmental impact and footprint (impact on air quality for thermal generation, carbon footprint, impact on landscape of new T&D lines). A pre-processing tool is also created to determine location, size and associated costs for storage and flexible demand candidates. The new planning tool is first validated and then used for analysing six detailed regional scenarios at 2030-2040-2050 in order to assess the potential role of storage and flexible resources. Pan-European scenarios are preliminarily elaborated in order to provide border conditions for the regional cases. Regulatory conclusions are drawn to analyse whether opportune incentivisation procedures could be put in place by the regulators wherever some consistent advantages are demonstrated.

Keywords: tandd grid planning,regional scenarios
Waves and concentration dynamics in biology (WACONDY)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: France,France
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 1378588.0
EU funding (EUR): 1378588.0
Participants: 2
Project status: SIGNED

Biology is a source of exciting mathematical challenges. Likewise, there is a strong demand from biologists for rationalizing and quantifying their fascinating observations and for testing hypotheses via theoretical models. PDE have proven powerful for these purposes. The main goal of the WACONDY project is to expand the theory of Hamilton-Jacobi (HJ) equations and related ones to encompass recent investigations in ecological and evolutionary dynamics. The asymptotic analysis of wave propagation in structured populations, along with that of equilibria in quantitative genetics models, have generated new problems that fall outside of the scope of the current theory. These novel HJ equations arise in regimes that are analogous to semi-classical analysis in physics. On the one hand, they are valuable for biology because the associated dynamics can be reduced to simpler rules than the original problem. On the other hand, they do not fit in the classical theory of viscosity solutions. Hence, innovative techniques are needed to achieve their deep understanding. The envisioned outcomes of the project are: a comprehensive analysis of non-local HJ equations arising in kinetic reaction-transport equations and reaction-diffusion equations for dispersal evolution; the asymptotic analysis of quantitative genetics models balancing diversity among offspring and selection of the fittest individuals, in the regime of small variance. The case of sexual reproduction will be emphasized, as the associated limit problem unveils novel features, beyond the HJ formulation. The design of asymptotic-preserving numerical schemes for this new class of equations will complement the program. Beyond tackling these fundamental aspects, the project aims to open new interdisciplinary research directions. We anticipate contributions to diverse topics such as collective waves of micro-organisms, propagation of genetically engineered organisms, and patterns of adaptation in changing environments.

Keywords: mathematical biology,kinetic equations,hamilton jacobi equations,wave propagation,quantitative genetics,asymptotic preserving schemes
Land animal evolution: genomic landmarks on the path to terrestrial life (SEA2LAND)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: Spain
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-02-01
End date: 2026-01-31
Duration (months): 60.0
Total project cost (EUR): 1499485.0
EU funding (EUR): 1499485.0
Participants: 1
Project status: SIGNED

All animals share a common origin: a marine one. To conquer land from marine environments, animals changed radically the way they breath, reproduce, move or smell. And they did it multiple times in the history of Earth, with terrestrial animals massively outnumbering aquatic ones. Understanding terrestrialization is therefore key to comprehending animal biodiversity and biological adaptation. Despite the relevance of such an episode, the genetic underpinnings orchestrating terrestrialization in animals are largely unexplored. The project will test the hypothesis that animals are equipped with a highly plastic ‘terrestrialization genetic toolkit’ that allowed their adaptation to the extreme environmental conditions in terrestrial ecosystems. We will focus on two pivotal questions: which genes facilitated life on land and how do they differ between aquatic and terrestrial animals?, and how did animals reshape their genomes to adapt to dry land? Moreover, we will study two case examples of critical processes common to all terrestrial animals -breathing and protection against UV light- to illuminate what molecular and biochemical changes allowed terrestrial animals to breathe and repair their DNA after UV light damage. To achieve this, we will (i) identify the gene repertoire orchestrating the extreme physiological and metabolic changes in aquatic and terrestrial lineages, (ii) characterize the dynamics of these genes to understand the role of gene loss, duplications and horizontal gene transfer, and (3) discover the adaptive mutations that led respiratory pigments and DNA repair proteins to gain their functions via molecular engineering techniques to resurrect their ancestral ‘paleophenotypes’. This project will deliver fundamental insights into a core question in evolutionary biology: what shaped the land animal genetic toolkit. Furthermore, it will provide insights into the evolution of key proteins relevant to human health and industry.

Keywords: metazoa,phylogenomics,transcriptomics
Multifunctional Polymeric Cyclodextrin Nanocarriers As Novel Triple-Negative Breast Cancer Treatment: A Versatile Photo-Chemotherapy Bypassing Hypoxic Conditions (HypoCyclo)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2023-08-31
Duration (months): 36.0
Total project cost (EUR): 257209.92
EU funding (EUR): 257209.92
Participants: 1
Project status: SIGNED

Among all breast cancers (BC) affecting female population worldwide, 20% is represented by Triple Negative Breast Cancer (TNBC), an aggressive subtype with very limited therapeutic options and poor survival. Seeking for innovative TNBC therapies, HypoCyclo aims at the optimal combination of chemotherapy and photodynamic therapy (PDT). We envisage novel, tailored cyclodextrin (CyD)-based polymeric nanoparticles (NPs) able to load “known” therapeutic agents and decorated with a photosensitizer as well as an Oxygen-Releasing Agent. HypoCyclo focuses on the very effective drug paclitaxel (PCX) presenting several treatment problems like water insolubility. Biocompatible, novel CyD polymers are expected to solubilize and encapsulate through non-covalent binding the drug of choice in order to implement PCX chemotherapy with PDT, through the decoration with a PS able to generate antitumor reactive oxygen species (ROS) in situ. Indeed, PDT has become a very challenging yet feasible option thanks to the technological advances in lasers and fiber-optics allowing interstitial and intra-operative light delivery for the treatment of solid tumours, including BC. Finally, as hypoxia in BC tissue compromises standard chemotherapy and PDT, we will tailor our NPs with an ORA able to release oxygen in cells, enabling an alternative ROS source. The PCX loaded NPs will be completely characterized and tested in 2D and 3D TNBC models. Our goal is to keep the synthetic protocols simple, low-cost and green to facilitate industrial upgrade of the loaded multimodal NPs endowed with improved in vitro efficacy. Two partners, the SME Cyclolab and UNIBO, both already collaborating with the supervisor, will give the necessary support in mixed-CyD polymer synthesis and in the biological assays, respectively, guaranteeing a successful outcome. The project foresees a demanding training program for ER that will help him to become an independent researcher with a complete profile.

Keywords: cyclodextrin based polymers,chemotherapy,photodynamic therapy,hypoxia,triple negative breast cancer
New Directions in Guaranteed Estimation of Nonlinear Dynamic Systems and Their Applications to Chemical Engineering Problems (GuEst)

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: Slovakia
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-06-01
End date: 2020-05-31
Duration (months): 24.0
Total project cost (EUR): 141381.6
EU funding (EUR): 141381.6
Participants: 1
Project status: CLOSED

The technique of guaranteed estimation promises a revolutionary step to how industrial process managers build, handle and adapt the prediction mathematical models. These are used to monitor the equipment operating regimes, to train the operating personnel and are also exploited to steer the plants' behavior towards the most profitable or the most resource- efficient modes. Advantages of guaranteed estimation come from the fact that no unnecessary assumptions must be made regarding the quality and measurement-error distribution of the sensed data, which establishes an increased reliability of the obtained estimation results. The work on this project develops the essential parts of guaranteed estimation techniques for real-world exploitation. We focus on the estimation of parameters of the nonlinear dynamic models while combining the estimation with model validation principles and while creating a hybrid estimation technique that enjoys the advantages of both guaranteed estimation and conventional approaches. In order to drive the operation of the plant, here we focus on the plants of chemical industry, to an efficient working regime, the technology of optimal and robust control is required. Our project builds upon the developments of robust control and develops novel optimal robust control techniques that incorporate the information on guaranteed estimates into the actions, i.e. manipulations of the plants' degrees of freedom. As a result, a safe, reliable and resource-efficient operation is established. The theoretical developments of the project are implemented into a software package and released as an open-source project such that the collaboration with academia and industrial stakeholders is fostered. A demonstration on a pilot plant is also planned to showcase the benefits of developed techniques in the real-world environment. A sound dissemination plan of the project ensures that the project reaches its target audience.

Keywords: identification of nonlinear systems,parameter and state estimation,set membership estimation,optimal control,robust control,chemical process control