Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Dissecting the functional importance of eukaryotic protein phosphorylation (PhosFunc)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Integrative Biology: from Genes and Genomes to Systems
Panel description: Genetics, epigenetics, genomics and other ‘omics studies, bioinformatics, systems biology, genetic diseases, gene editing, innovative methods and modelling, ‘omics for personalised medicine
Countries involved: Germany
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-04-01
End date: 2020-09-30
Duration (months): 66.0
Total project cost (EUR): 1451421.0
EU funding (EUR): 1451421.0
Participants: 1
Project status: CLOSED

Cells have evolved intricate systems to sense environmental changes and an initial response to such cues is often driven by post-translational modifications (PTMs) of proteins. Protein phosphorylation is an abundant PTM that modulates protein function via diverse mechanisms. Improvements in mass-spectrometry are unveiling a complex world of PTM regulation with thousands of phosphosites routinely identified per study. We and others have recently shown that phosphosites can diverge quickly during evolution and that a significant fraction may have no biological role in extant species. Identifying functionally relevant phosphosites is therefore a major challenge in cell-signaling. In the past, gene knock-out libraries and genetic methods have been instrumental in dissecting gene-function in a systematic manner. Here, we aim to develop genetic approaches to study the functional relevance of phosphorylation in S. cerevisiae. Phosphoproteomic datasets for 18 ascomycota fungal species will be used to reconstruct the evolutionary history of phosphorylation events in these species. S. cerevisiae sites will then be grouped according to age and predicted function (e.g. regulation of interactions, activities, etc) and a subset will be selected for mutagenesis. A library of non-phosphorylatable point mutants will be created and used to measure fitness under different stress conditions. These will reveal the functional importance, pleiotropy and relevant pathways of the selected phosphosites. The age, functional groupings and the genetic information will allow us to train predictors of the conditional fitness of phosphosites at proteome-wide level. Lastly, we will study the importance of evolutionary changes in phospho-regulation in natural populations of yeast. Mutations that likely disrupt phosphosites will be identified from the genomes of natural isolates and the consequences of these mutations will be predicted based on the trained classifier.
Quillen's Conjecture (QUILCON)

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: Mathematics
Countries involved: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-08-01
End date: 2023-07-31
Duration (months): 24.0
Total project cost (EUR): 219312.0
EU funding (EUR): 219312.0
Participants: 1
Project status: SIGNED

Quillen's Conjecture The ultimate goal of this project it to prove the Quillen subgroup-poset conjecture, open since 1978. The conjecture is easy to state: for G a finite group and p a prime number, if the poset of non-trivial p-subgroups of G is contractible, then G has a non-trivial normal p-subgroup. The novel approach of this proposal is to prove Quillen's conjecture by dealing with it in a more abstract categorical setting of certain cartesian fibrations of 2-categories over the 2-category of finite groups, where tools from higher category theory and 'homotopy combinatorics' can be used. Carrying out this plan thus requires generalising relevant parts of the classical theory from posets to certain fibred categories. For one of the main tools, Möbius inversion, this theory has already been developed by the applicant. The conjecture is important for the interface between finite group theory, algebraic topology, and combinatorics, and the tools developed promise to be useful to further these interactions. The research will be carried out at the University of Copenhagen, at one of the strongest topology groups in the world, supervised by Jesper Møller, one of the leading experts on Quillen's conjecture. The applicant, Joachim Kock, has ample expertise in category theory applied to algebraic topology and combinatorics. By applying his skills to solve an important open problem, he will fill a gap in his research profile and take the step from high-quality to top-quality research.

Keywords: finite groups,subgroup poset,m bius inversion,fibred categories,euler characteristic
Smart Automation of Rail Transport (SMART)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: European rail initiative
Action type: Research and Innovation actions
Partnership: Shift2Rail (Art-187)
Countries involved: Germany,Germany,Serbia,Bulgaria
Call: Freight Automation on lines and in yards (H2020-S2RJU-OC-2015-01-2, 2015)
Start date: 2016-10-01
End date: 2019-09-30
Duration (months): 36.0
Total project cost (EUR): 999598.75
EU funding (EUR): 999598.75
Participants: 5
Project status: CLOSED

SMART main goal is to increase the quality of rail freight, as well as its effectiveness and capacity, through the contribution to automation of railway cargo haul at European railways. In order to achieve the main goal, SMART will deliver the following measurable objectives: • complete, safe and reliable prototype solution for obstacle detection and initiation of long distance forward-looking braking, • short distance wagon recognition for shunting onto buffers, • development of a real-time marshalling yard management system integrated into IT platform available at the market. The SMART prototype solution for obstacle detection will provide prototype hardware and software algorithms for obstacle detection. The system will combine two night vision technologies - thermal camera and image intensifier with multi-stereo vision system and laser scanner in order to create fusion system for mid (up to 200 m) and long range ( up to 1000 m) obstacle detection during day and night operation, as well as operation during impaired visibility. By this planned fusion of sensors, the system will be capable, beside reliable detection of obstacle up to 1000 m, to provide short range (< 200 m) wagon recognition for shunting operations with a +/- 5 cm distance estimation tolerance. The real-time marshalling yard management system will provide optimization of available resources and planning of marshalling operations in order to decrease overall transport time and costs associated with cargo handling. The yard management system will provide real time data about resources available over open and TAF/TSI standard data formats for connection to external network systems and shared usage of marshalling yards between different service providers.

Keywords: rail track obstacle detection,multi sensor based obstacle detection,management of marshaling yard
Challenging Hypertension Through Novel Medical Device Development (REALTA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Ireland
Call: ERC-Proof of Concept-2016 (ERC-2016-PoC, 2016)
Start date: 2017-07-01
End date: 2018-12-31
Duration (months): 18.0
Total project cost (EUR): 149954.0
EU funding (EUR): 149954.0
Participants: 1
Project status: CLOSED

Hypertension directly causes approximately 25% of heart attacks in Europe and, in its progressed form of cardiovascular disease, it is estimated to cause 42% of all deaths across Europe annually. Untreated hypertension is one of the primary contributors to a number of the medical conditions with the greatest burden of care, including stroke, dementia and kidney failure. One of the most promising avenues for the treatment of hypertension has been research into primary aldosteronism (PA). In the last ten years, PA has been recognised as the most common curable cause of hypertension. PA is thought to account for up to 18% of all cases of hypertension within the population and is caused by benign shallow adenomas on the surface of the adrenal gland. Researchers have identified the effective treatment of PA as a clear mechanism to address Europe’s hypertension problem. However, finding an effective surgical or pharmaceutical treatment for PA has been challenging to date. Radiofrequency ablation (RFA) has also been evaluated for the treatment of adrenal cancer . RFA involves the insertion of an ablation needle into adrenal adenoma and passing high frequency electrical current into the gland. The weakness of RFA is that it produces a large ablation zone, which is particular problematic in a small organ typically less than 5cm3 in volume. In many cases, a large proportion of the functional cortex tissue surrounding the adenoma can be destroyed during the RFA process , thereby negating the benefit of the RFA over the traditional adrenalectomy approach. An ideal ablation technology would involve a custom-designed microwave ablation device capable of destroying the shallow adrenal adenoma, while simultaneously protecting the delicate tissue of the remaining gland. That is precisely what is proposed in the REALTA project.

Keywords: hypertension,medical devices,conn s syndrome
Functional Analysis of Schizophrenia Risk Gene RBM12 (SZFunc)

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: Life Sciences
Countries involved: United States,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2021-08-31
Duration (months): 36.0
Total project cost (EUR): 269857.8
EU funding (EUR): 269857.8
Participants: 2
Project status: CLOSED

Schizophrenia is a devastating disease with high societal costs. However, little is known about the biological mechanisms behind the disorder, a knowledge gap that has stalled the development of new treatments. We recently discovered that truncating mutations in RBM12, an RNA binding protein, are associated with schizophrenia. This finding provides a novel entry point to understanding the disease, but fully exploiting the discovery requires further examination of the function of RBM12. Here I propose to begin that effort by using the zebrafish model system to first, determine the role of RBM12 in brain development; second, discover the role of RBM12 in brain function as assessed by functional connectivity and behavioural assays; and third, identify RBM12’s direct and indirect targets using RNA-seq and iCLIP (individual-nucleotide resolution cross-linking and immunoprecipitation). These studies will aid in illuminating the biological basis of schizophrenia and, ultimately, lead to novel treatments.
A disruptive, life-saving solution for home monitoring and management of lung fluid congestion in heart failure patients (ReDS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-09-01
End date: 2019-12-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Heart failure (HF) is one of the main causes of mortality and hospitalization worldwide, affecting around 26M people globally, and the most common cause of hospitalization for people over 65. Lung fluid congestion is one of the main HF-related clinical conditions, which leads to a vicious cycle of repeated hospitalizations of HF patients. Strikingly, 1 in 4 patients are readmitted to the hospital within 30 days, and 1 in 2 patients within 6 months. The key challenge is to enable early detection, continuous monitoring and timely treatment of symptoms before the patient undergoes respiratory distress. In fact, current lung fluid monitoring practices are mostly inaccurate and inefficient, enabling detection only at very advanced stages, when symptoms cannot be prevented by simply changing the medication. Sensible introduces ReDS™, a non-invasive home monitoring system for lung fluid congestion in HF patients. The monitoring procedure can be performed by the patient at home in just 90 seconds. The results are processed by an Artificial Intelligence (AI)-driven patient management platform and sent automatically to the physician. The unique proprietary AI algorithm supports physicians in identifying the best treatment based on each patients’ needs and general health status. ReDS™ is the first solution that enables accurate, remote monitoring and management of fluid congestion in HF patients after discharge. During the phase 1 feasibility study, Sensible will define a minimum viable product, establish a sound go-to-market strategy and supply chain, and draft further development plans. During the second phase of the innovation project, Sensible will optimize the device engineering for home use, optimize the AI algorithm, scale-up device manufacturing and perform clinical validation with partner hospitals.

Keywords: heart failure,lung fluid congestion,remote patient monitoring,early detection,home use,ageing,artificial intelligence,non invasive monitoring,reduced hospitalization
A Key Enabling Technology for metals recovery and water management based on functionalized magnetic particles for galvanic industry (Magnetic Fluids)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Italy
Call: Boosting the potential of small businesses in the areas of climate action, environment, resource efficiency and raw materials (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-02-01
End date: 2018-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Surface Treatment of metals (e.g. galvanization) involves a lot of washing, rinsing and batch dumps steps, which generate a huge amount of wastewater, containing soluble forms of the various metals used in the treatment (Zn, Ni, Cr). After the chemical-physical treatment of waste waters based on precipitation, a relevant amount of sludge, containing metal oxides, which need to be disposed as hazardous waste at a cost of about 1500 Euro/ton. Captive Systems has developed and patented a technology for producing amphiphilic magnetic nanoparticles, which are soluble in water, and can be used as “Magnetic Fluids” (MF) for the capture, removal and recovery of metal ions from wastewaters and in a single step, by simply using a mixing and magnetic trap. This allows to reduce by 90% the production of sludge as hazardous waste and to recover the metals, in a simple and cheap solution: estimated reduction of cost for waste water treatment and sludge disposal is > 70%. The technology has been tested at pilot scale in the galvanic industry, in collaboration with the industrial partners involved in the company: a galvanic industry, a producer of consumables for the galvanic industry and a company specialized in the waste treatment. Once scaled up and demonstrated at industrial level, MF can become a BAT for the waste water treatment in the galvanic industry. The market entry is targeted selling the plants and the consumables in JV with the industrial partners; however to expand in the market a “turnkey service model” is targeted to minimize the cost for the end user, typically SMEs. In the feasibility study Captive needs to carry out: 1) Customer Validation for the market price target verification, 2) Profiling industrial partners and investors to pave the way to agreements signature for the scale up of the industrial production and the launch of the turnkey service business model; 3) Refining the Business Plan and the Investment strategy.

Keywords: galvanic industry,metal recovery,sludge reduction
Superelastic Porous Structures for Efficient Elastocaloric Cooling (SUPERCOOL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Slovenia
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 1359375.0
EU funding (EUR): 1359375.0
Participants: 1
Project status: SIGNED

Cooling, refrigeration and air-conditioning are crucial for our modern society. In the last decade, the global demands for cooling are growing exponentially. The standard refrigeration technology, based on vapour compression, is old, inefficient and environmentally harmful. In the SUPERCOOL project we will exploit the potential of elastocaloric cooling, probably the most promising solid-state refrigeration technology, which utilizes the latent heat associated with the martensitic transformation in superelastic shape-memory alloys. We have already demonstrated a novel concept of utilizing the elastocaloric effect (eCE) by introducing a superelastic porous structure in an elastocaloric regenerative thermodynamic cycle. Our preliminary results, recently published in Nature Energy, show the tremendous potential of such a system. However, two fundamental challenges remain. First, we need to create a geometry of the superelastic porous structure (elastocaloric regenerator) to ensure sufficient fatigue life, a large eCE and rapid heat transfer. Second, we must have a driver mechanism that can effectively utilize the work released during the unloading of the elastocaloric regenerator. To succeed I am proposing a unique approach to design advanced elastocaloric regenerators with complex structures together with a driver mechanism with the force-recovery principle. We will employ a systematic characterization and bottom-up linking of all three crucial aspects of the elastocaloric regenerator, i.e., the thermo-hydraulic properties, the stability and the structural fatigue, together with a new solution for force recovery in effective drivers. Based on these theoretical, numerical and experimental results we will combine both key elements of our novel elastocaloric concept into a prototype device, which could be the first major breakthrough in cooling technologies for 100 years, providing greater efficiency and reduced levels of pollution, by applying a solid-state refrigerant.

Keywords: elastocaloric,solid state cooling,shape memory materials,refrigeration
Zero-touch security and trust for ubiquitous computing and connectivity in 5G networks. (5GZORRO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Israel,Italy,Italy,Italy,Spain,Malta,Greece,Portugal,United Kingdom
Call: 5G Long Term Evolution (H2020-ICT-2019-2, 2019)
Start date: 2019-11-01
End date: 2022-10-31
Duration (months): 36.0
Total project cost (EUR): 4999965.0
EU funding (EUR): 4999965.0
Participants: 15
Project status: CLOSED

Despite the progress of last years, 5G today is not yet at a stage of complete achievement of the promised performances and functions: different application profiles (eMBB, URLLC, mMTC) do not easily coexist in network slices; slicing is casted in various different forms; network analytics are not at end-to-end scope; services do not span multiple operator domains yet. 5GZORRO consortium envisions the evolution of 5G to achieve truly production-level support of diverse Vertical applications, which coexist on a highly pervasive shared network infrastructure, through automated end-to-end network slicing, across multiple operators and infrastructure/resource providers, who can share heterogeneous types of resources (spectrum, virtualized radio access, virtualized edge/core). 5GZORRO uses distributed Artificial Intelligence (AI) to implement cognitive network orchestration and management with minimal manual intervention (Zero-Touch Automation). Distributed Ledger Technologies (DLT) are adopted to implement flexible and efficient distributed security and trust across the various parties involved in a 5G end-to-end service chain. With these, we can implement an evolved 5G Service Layer for Smart Contracts among multiple non-trusted parties, to allow SLA monitoring, spectrum sharing, intelligent and automated data-driven resource discovery and management. Our cross domain security & trust orchestration coupled with service lifecycle automation can enforce security policies in multi-tenant and multi-stakeholder environments. Three use cases validate our research in 5GBarcelona and 5TONIC/Madrid test facilities: Smart Contracts for Ubiquitous Computing/Connectivity, Dynamic Spectrum Allocation, Pervasive virtual CDNs over 3rd-party edge resources. 5GZORRO target stakeholders are telecom operators, vertical slice owners/operators, spectrum owners, regulators, passive/ active facility owners, many of which are in our consortium of 13 top 5G players from 7 different EU countries.

Keywords: cross domain security and trust,zero touch automation,spectrum sharing,artificial intelligence,blockchain,distributed ledger technologies,data driven resource discovery and mgmt,pervasive comp