Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
New cloud-base SW for ensuring the Cold Chain during Food Transportation (COLDTRACK)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Italy
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-06-01
End date: 2017-08-31
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Traceability is a risk-management tool which ensures that all food products in the EU are safe. Traceability gets even more crucial when products must be kept refrigerated. The cold chain logistics is currently facing several challenges: (1) food waste, with over 88 million tons of food waste annually in Europe (equivalent to €143 billion) due to improper storage of temperature sensitive products which causes, (2) There is a lack of interconnection among food companies regarding traceability information systems what causes labelling errors, and (3) even more restrictive EU regulations and certifications on food security and quality. SW & Technology represents one of the fastest-moving, promising and disruptive segments in the business and consumer worlds today. Digital innovations are going to be key in the global logistics market that is set to grow at a CAGR=7.5% in the period 2015-2024 surpassing the €15 trillion in revenues in 2023. Under this context Zuffellato, an Italian SME with some solutions in the food tracebility sector, is finishing the development of Coldtrack: an integrated Information System for RFID-enabled traceability and temperature monitoring providing real-time, full, verifiable and easily available traceability across the whole food supply chain in a cost effective and efficient way. The core of ColdTrack is our Big Data supporting online platform that contains all the information on each unit as well as a continuous temperature-monitoring and warning system. In addition, a free application for smartphones will make relevant information available in a simple and friendly format for end consumers. Thanks to ColdTrack, at Zuffellato we will consolidate our presence in our home market (Italy) and become a relevant actor in this market segment in the EU. We have estimated an accumulated revenue from 2020 to 2022 of €4 M and a big expansion of our current workforce with more than 10 new employees.

Keywords: cold chain assurance,traceability,transportation,food and drink industry,meat,rfid enabled tags,rfid,labelling,temperature monitoring
Designer superconductivity in interacting quantum metamaterials (DESIQM)

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: Physics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2022-01-01
End date: 2023-12-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: SIGNED

Despite intense research activity, most new superconductors are discovered by chance, rather than by deliberate design. Consequently, they have limited tunability, which has plagued progress towards a room-temperature demonstration. In particular, electron interactions are extremely challenging to tune, but are assumed to be vital in most high-temperature superconductors. Here I introduce a new paradigm for the bottom-up fabrication of custom-designed superconductors, called interacting quantum metamaterials. These metamaterials are precisely constructed, one atom at a time, using a scanning tunneling microscope. They inherit tunable, strong electron interactions from their unique substrate: a topological Kondo insulator (TKI). A TKI substrate neatly overcomes the two impediments for interacting quantum metamaterials: it hosts quasiparticles that move slow enough to interact with one another, and it is a true topological bulk insulator, which electrically confines these quasiparticles to the surface, where they are easily accessed and manipulated. By rearranging surface atoms, I will create metamaterial geometries that localize these novel TKI surface quasiparticles in order to mimic the parent state of many high-temperature superconductors, a Mott-like insulator. Then, I will adjust the electron concentration by tip-induced electrostatic gating and behold the onset of superconductivity in a fully tunable experimental platform. These results will open a new path to room-temperature superconductors, leading to highly efficient power transmission and storage, which can reduce CO2 emissions and slow climate change.

Keywords: topological kondo insulator,atom manipulation,metamaterials
Technological European Research for RPAS in ATM (TERRA)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Italy,Spain,Slovenia,Netherlands,Netherlands
Call: Ground-based technology (H2020-SESAR-2016-1, 2016)
Start date: 2017-10-01
End date: 2020-02-29
Duration (months): 29.0
Total project cost (EUR): 937000.0
EU funding (EUR): 937000.0
Participants: 6
Project status: CLOSED

TERRA Project addresses the research topic H2020-SESAR-2016-1 RPAS04: Ground-based technology, focusing on the performance requirements associated with the UTM concept, and identifying the technologies (existing and new) which could meet these requirements. TERRA proposes a technical architecture to support VLL RPAS operations, which are assumed to encompass interaction with VFR traffic. The main project objectives are the following: • Requirements identification: A set of operational and functional ground-based system requirements will be defined for three representative RPAS operational business cases, considering operator requirements but also potential impacts on stakeholders. • Technological applicability: Analysis of applicability of existing CNS/ATM technologies which could be applied to UTM, identification and development of new technologies (e.g. machine learning classification of flight trajectories) and analysis of their applicability, considering in both cases the performance provided by these technologies with the requirements imposed upon their use. • Architecture proposal and proof of concept: Identification of the most appropriate technologies, comparing their performance and applicability with the user requirements and definition of a technical architecture, which will be evaluated by means of a proof of concept demonstration. To achieve these objectives, the Consortium consists of a range of companies bringing complementary expertise (research, operational, industrial) covering all the elements of ground-based technologies for UTM; additionally, an Advisory Board of stakeholders and developers has been formed to assist the consortium on the requirements identification and proposals validation. Finally, a proof of concept demonstration of the proposed architecture will be conducted, leveraging existing simulation platforms previously developed by members of the consortium. TERRA aims to safely facilitate up to 1 million VLL RPAS fligths by 2025.

Keywords: ground systems,rpas,architecture,machine learning,safety,gnss,a pnt,ads b,geo fencing,mobile networks,lora
Restoring natural feelings from missing or damaged peripheral nervous system by model-driven neuroprosthesis (FeelAgain)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Switzerland,Serbia
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-04-01
End date: 2024-03-31
Duration (months): 72.0
Total project cost (EUR): 1499637.0
EU funding (EUR): 1385032.0
Participants: 2
Project status: SIGNED

Due to sensory loss diabetic patients are prone to falls and to foot ulcers, which consequently increase the risk of amputations. Because of the lack of sensory feedback amputees experience falls, perceive the prosthesis as a foreign body and therefore do not rely on it during walking. This causes counterbalancing movements that increase fatigue. Both types of patients suffer neuropathic pain, associable to aberrant sensory inputs. Neural pathways between the periphery and the brain are still functional above the damage or the amputation. Targeting these structures with peripheral neural interfaces could allow the restoration of natural sensory functionalities. The aim of project is to develop the first neuroprosthesis restoring natural foot sensations, through sciatic nerve stimulation, to patients with diabetic neuropathy or leg amputation. To that aim we will develop a detailed computational model of the sensory loop of the sciatic nerve. It will merge the electrical stimulation effects on sensory fibers and transduction of mechanical deformations of the skin into action potentials. Modelling results will be validated. Applying this modeling framework we will optimize the geometry of a peripheral neural interface, its surgical placement and define stimulation protocols that mimic natural sensory feedback responses. Effective device for feedback restoration will be constructed, able to translate the signals recorded by sensorized sole placed under the prosthetic or diabetic foot into the natural foot sensations perceived by subject. The interventional tools for embodiment boosting and pain relief will be developed. Clinical tests on amputee and diabetic subjects will assess the efficacy of the FeelAgain conceptual and technological framework by examination of pain, embodiment, ulcer prevention, falls avoidance and walking ability.

Keywords: neural stimulation,computational modeling,sensory feedback,neuroprosthetics
Checkpoints in the bacterial cell cycle: role of the cytokinetic Z-ring and implications for antibiotic resistance (CheckBacZ)

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: Portugal
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 147815.04
EU funding (EUR): 147815.04
Participants: 1
Project status: CLOSED

The occurrence of multiple-drug resistant bacteria constitutes an important threat to healthy lives, signifying the importance of alternative strategies to combat bacterial infections. This research project bears the potential to significantly contribute to overcome antibiotic resistances that occur during the treatment of bacterial infections, as it combines the studies of cell division, cell cycle regulation and antibiotic resistance in the clinically relevant model Staphylococcus aureus. Given that the tubulin homologue FtsZ is essential for cell division and serves as an antibiotic resistance determinant in this organism, the proposed research activity focuses on the cytokinetic Z-ring, more precisely its role in driving the staphylococcal cell cycle. Super-resolution microscopy will be used to determine if FtsZ treadmilling controls the rate of cytokinesis and if it organizes the peptidoglycan synthesis proteins during cell division, aiming to provide evidence for a FtsZ-dependent checkpoint in the cell cycle. Profiting from a mutant screen currently ongoing in the host laboratory, mutants impaired in the timing of septum formation will be identified to study the functional integration of corresponding genes into FtsZ-driven septum synthesis. In view of the fact that bacteria at different stages of the cell cycle are phenotypically distinct, microfluidics will be used to test if the degree of antibiotic tolerance varies during the cell cycle, which would enforce the vision for re-sensitizing resistant bacteria by manipulating their cell cycle. The strong expertise and the availability of cutting-edge techniques in the host group together with my professional experience will generate an ideal synergy within this work programme. I will generate valuable scientific knowledge, acquire transferrable skills and create new collaborations in the international bacterial cell biology community, thus paving the way for establishing myself as an independent researcher.

Keywords: bacterial cell cycle,cytokinesis,ftsz treadmilling,antibiotic resistance,staphylococcus aureus
Using Network Theory to Predict Depression Onset and Build a Personalized Early Warning System (WARN-D)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-04-01
End date: 2026-03-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Depression is common, debilitating, and often chronic. It severely compromises the capacity for independent living, and is the strongest predictor of suicide. Young people are disproportionately affected, and many will spend over 20% of their lives in a state of depression. Further, only 50% of patients improve under initial treatment. Experts agree that prevention is the most effective way to change depression’s global disease burden. The biggest barrier to successful personalized prevention is to identify those at risk for depression in the near future. My proposal aims to solve the challenge who should receive prevention, and when, by developing the personalized early warning system WARN-D. To implement personalized detection, I will follow 2,000 individuals over 2 years, and integrate emerging theoretical, measurement, and modelling approaches from different scientific fields so far unconnected. Regarding theory, I conceptualize depression as a complex dynamical system in which causal relations and vicious cycles between problems can move the system from a healthy to a clinical state, consistent with the Network Approach to Psychopathology that I co-developed. Regarding measurement, I will follow participants in their daily lives, and collect temporal dynamics of bio-psycho-social variables like mood, anxiety, stress, impairment, sleep, and activity via smart-phone based ecological momentary assessment (EMA) and smart-watch based digital phenotype data. I will use dynamical network models to study the relations among problems, and use parameters of these models, combined with baseline, EMA, and digital phenotype data, to construct the prediction model WARN-D via state-of-the-art machine learning models. The interdisciplinary project combines numerous modern tools to develop a tailored personalized early warning system that forecasts depression reliably before it occurs, promising to radically transform the science of depression detection.

Keywords: depression onset,depression,prediction,early warning signals,critical slowing down,ecological momentary assessment,wearable technology,digital phenotype,machine learning
Fostering Institutional Transformation of R&I Policies in European Universities (FIT FORTHEM)

Framework: Horizon 2020 — Science with and for Society
Action type: Coordination and support actions
Countries involved: Spain,Italy,Germany,Finland,Poland,Latvia,France
Call: Support for the Research and Innovation Dimension of European Universities (Part I) (H2020-IBA-SwafS-Support-1-2020, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 1999201.06
EU funding (EUR): 1999201.06
Participants: 7
Project status: SIGNED

Since its inception, the European University Network FORTHEM has boosted cooperation between its participating institutions. With this proposal, FORTHEM plans to intensify common R&I activities, promote joint concepts and strategies, foster the co-creation of science, and reduce inequalities between members by sharing good practices and resources, both technological and human. FIT FORTHEM will build up knowledge and structures, including a virtual joint support centre, leading to an efficient pooling of resources and providing a home for FORTHEM’s activities in R&I and social, cultural and entrepreneurial interaction. A dedicated WP will nurture a deep mutual understanding between all actors, and another WP will ensure mutual exchange both internally and with external stakeholders. We will develop common agendas for R&I activities including a joint open science policy, plan the efficient use of common or shared resources, and reinforce a lively intersectoral exchange. In doing so, the specificities of each member will be taken into account to receive tailored support. Activities will be supported by seven FORTHEM Labs, designed to advance collaborative research and establish new forms of cooperation. These co-creation labs will formulate needs and test new models and be the incubators of transformation in FIT FORTHEM. As a result, FIT FORTHEM will significantly contribute to making FORTHEM a united entity with strong higher education and R&I strategies and tight links to its socio-economic environment. It will promote well-functioning living FORTHEM Labs that excel in research and breed a solid innovative and entrepreneurial spirit. FIT FORTHEM will join forces with local, regional, and European networks, and current and future alliances in order to maximize this effect. Since FORTHEM is potentially representative of around 90% of universities in Europe, FIT FORTHEM can provide reproducible models in the upcoming transformation processes faced by all universities.

Keywords: european university networks,joint randi strategy,common resources and infrastructures,open science,sharing good practices,human resource development,co creation,entrepreneurship
Omics Phenotyping of Endocrine Disease in the General Population (OPEDGP)

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: Denmark
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-08-01
End date: 2017-07-31
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

Metabolomics is a relatively new technology that provides information about levels of human metabolites, the low molecule products at the end (downstream) of the metabolic pathways of human physiology. In theory, metabolite profiles may more closely reflect the clinical phenotype and thus potentially improve risk prediction. Another advantage is that that they can be performed on non-invasive biofluids like urine. Several metabolomics studies have suggested that the metabolite profile of an individual can be used as a predictor of type 2 diabetes. However, evidence from large-scale population-based studies with comprehensive phenotypes of diabetes and thyroid disease is limited. The aim of the project is to identify urine metabolite profiles associated with risk of diabetes and thyroid disease and to investigate pathogenetic pathways by identifying genetic determinants of these metabolites. The project takes advantage of the long tradition of population-based and registry-based epidemiological research in Denmark. The experienced researcher will complete a training program supervised by two recognised Danish research institutions with complementary expertise in the fields of epidemiology and genetics, respectively. Hereby the experienced researcher will achieve competences in the field of statistical modelling of epidemiological data with repeated measures and use of the unique Danish registries for research. Furthermore, during the secondment at the partner institution the experienced researcher will receive training in genetic epidemiology. In return, knowledge of metabolomics will be translated to the beneficiary and partner organizations. It is expected that the results will provide novel insights into the pathophysiology of diabetes and thyroid disease and identify novel biomarkers to improve risk prediction in individuals.

Keywords: diabetes,thyroid diseases
Investigating the role of in vivo RNA structure in RNA degradation (RivRNAStructureDecay)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Molecules of Life: Biological Mechanisms, Structures and Functions
Panel description: Molecular biology, biochemistry, structural biology, molecular biophysics, synthetic and chemical biology, drug design, innovative methods and modelling
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-01-01
End date: 2021-12-31
Duration (months): 72.0
Total project cost (EUR): 1499986.0
EU funding (EUR): 1499986.0
Participants: 1
Project status: CLOSED

RNA plays a central role in the regulation of gene expression. The basal levels of RNA in a cell depend on the ratio between RNA synthesis and RNA degradation. RNA degradation is an active and critical process that dictates RNA levels and in part controls the relative levels of gene expression. However, despite many years of research, important and perplexing questions remain about RNA stability. Even when comparable RNA degradation processes are involved individual RNAs can have distinct decay rates and the mechanisms that control such distinctive rates are unknown. RNA structure is likely to be intrinsic to our understanding of the RNA features that govern stability and until very recently our ability to measure the true in vivo RNA structure has been incredibly limited. The aim of this proposal is to understand the role of RNA structure in the regulation of RNA degradation and determine the RNA structural features that regulate the degradation pathways. We propose an ambitious programme that will pursue the following objectives: 1. Globally investigate RNA structural features and compare these to RNA degradation in vivo. 2. Decipher the mechanism of no go decay (NGD) via identifying the role of the G-quadruplex. 3. Determine the role of RNA structure in the miRNA pathway for both miRNA precursor processing and miRNA-directed processing. This proposed study will reveal the fundamental function of RNA structures in RNA degradation. Two novel in vivo RNA structural profiling platforms will be established. The combination of RNA structural profiling, with existing ribosome profiling and the RNA degradome will generate a global view of RNA structural features and their relationship with RNA degradation. This proposed study will fill a significant gap in our understanding of the mechanisms of RNA degradation in plants and this will likely impact RNA studies in all eukaryotes.

Keywords: rna structure,in vivo,g quadruplex,rna degradation,mirna silencing,no go decay,transcriptome