Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Defective DNA Damage Responses in Dominant Neurodegenerative Diseases (SIDSCA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: Czechia,United Kingdom
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-10-01
End date: 2022-03-31
Duration (months): 66.0
Total project cost (EUR): 2447409.0
EU funding (EUR): 1783034.0
Participants: 2
Project status: CLOSED

DNA single-strand breaks (SSBs) are the most frequent DNA lesions arising in cells and are a major threat to cell survival and genome integrity, as indicated by the elevated genetic deletion, embryonic lethality, or neurological disease observed if single-strand break repair (SSBR) is attenuated. In particular, SSBR defects are associated with hereditary neurodegeneration in humans, as illustrated by the genetic diseases ataxia oculomotor apraxia-1 (AOA1), spinocerebellar ataxia with axonal neuropathy-1 (SCAN1), and microcephaly with early onset seizures (MCSZ). However, two major questions remain: what are the mechanisms by which SSBs trigger neurodegeneration, and to what extent do SSBs contribute to other genetic and/or sporadic neurodegenerative disease? Based on exciting new data we now propose that the impact of SSBs on neurodegeneration extends beyond rare SSBR-defective diseases to include more common motor neurone diseases (amyotrophic lateral sclerosis) and the genetically dominant spinocerebellar ataxias (SCAs). Ultimately, we suggest that SSBs might also be an etiological factor in normal human ageing. Finally, again based on new data, we propose that SSBs induce neurodegeneration by triggering over-activation of the SSB sensor protein, PARP1; thereby identifying inhibitors of this protein (currently licensed for cancer treatment) as a possible therapy for neurodegeneration. We will now address these hypotheses using a range of cutting edge molecular/cellular techniques. In particular we will (a), systematically examine all relevant amyotrophic lateral sclerosis/motor neurone disease (ALS/MND) and spinocerebellar ataxia (SCA) proteins for involvement in the DNA damage response, (b) Identify the mechanism/s by which ALS and SCA proteins engage in the DNA damage response, (c) Identify the role of ALS and SCA proteins in the DNA damage response, and (d) Explore PARP1 as a possible therapeutic target for treatment of neurodegenerative disease.

Keywords: the relationship between dna strand breakage,transcription,and neurodegenerative disease
Passive Ice Protection System (PIPS)

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: Belgium,France,France
Call: Ice protection system based on two-phase heat transport technologies integrated in representative engine intake structure (H2020-CS2-CFP02-2015-01, 2015)
Start date: 2016-07-01
End date: 2020-12-31
Duration (months): 54.0
Total project cost (EUR): 691757.5
EU funding (EUR): 499830.25
Participants: 3
Project status: CLOSED

This proposal addresses the specific aeronautical challenge relative to the improvement and optimization of nacelle/engine integration to reduce drag and save weight thanks to high technology devices leading to significant CO2 savings. The ultimate goal of this proposal is to replace the today ice protection systems mounted on the surfaces of engine intakes by a two-phase passive thermal system with the following main benefits: • Reduction of fuel consumption and raise of the engine effectiveness by the use of a highly efficient thermal system for the extraction of heat load from the engine to the protected surface (high heat transfer capacity compared to the two-phase system mass); • Decrease of mass and ease of thermal icing protection integration by removing the today electro-thermal and pneumatic usual device used to collect power from power plant; • Increase of reliability of a critical function such as anti-icing by removing active control and operations; • Lower impact on environment and operating cost reduction through the use of passive and maintenance free thermal equipment. At two-phase system level, the main innovation will concern the adaptation of the space qualified product to the specific aeronautical requirements. TRL6 is considered for the two-phase product in order to enable the European aeronautical communities to propose more efficient aircrafts with less environmental impacts. The most relevant characteristics to be assessed and managed through this project are: • The severe thermal and mechanical environment around the engine and its nacelle and • The specific geometry of the protected surface. This project will so contribute to the strengthening of the competitiveness of the European industry by introducing two-phase heat management systems contributing to the reduction of CO2 emissions and airplane noise, toward an eco-conception and an eco-utilization point of view.

Keywords: ice protection system,passive,loop heat pipe,heat pipe
Mobile high-resolution 3D-Scanner and 3D data analysis for forensic evidence fast track to innovation (3D-Forensics/FTI)

Framework: Horizon 2020 — Societal Challenges
Action type: Innovation actions
Countries involved: Germany,Italy,Germany,Netherlands,United Kingdom
Call: Fast Track to Innovation Pilot (H2020-FTIPilot-2015-1, 2015)
Start date: 2016-07-01
End date: 2019-06-30
Duration (months): 36.0
Total project cost (EUR): 1566882.54
EU funding (EUR): 1219388.6300000001
Participants: 5
Project status: CLOSED

Crime is a major factor in reducing the level of civil security. The percentage of solved crime is less than 70% in more than half of the EU countries in some it is less than 50%. A very important part of crime investigation is the capturing and analysis of forensic evidence. In High Volume Crimes, such as burglary, a common trace type are footwear and tyre track traces. At present the recording and analysis of such traces can only be mitigated (if at all) through time consuming procedures. In the last years the FP7 project 3D-Forensics (www.3D-Forensics.eu) developed and evaluated a promising approach to fill gaps in the performance of actual tools. Footwear and tyre traces are captured using modern optical 3D-scanning technology and investigated using a 3D analysis software focussed on forensic end users. The project culminated in the demonstration of the system prototype outdoors under the same conditions of those typically found at crime scenes by the Dutch police from the region of Zeeland West-Brabant. 3D-Forensics / FTI will bridge the so called “valley of death” between a successful research and technological development and market introduction of innovation. It will finish off the footwear and tyre trace 3D scanning and analysis idea from an already advanced project output to make it market mature and ready for launch. In essence 3D-Forensics / FTI will implement the last steps identified as necessary at the end of the previous FP7 project. The resulting advanced prototypes will be tested, including in “round robin” tests by six forensic end users for performance verification and in a further phase the prototypes from a pilot line with the same or very similar specifications as the first product to be launched will be validated in a relevant accredited process. Communication with the forensic community together with the feedback from the testing and validation exercises will enable our business model to be fine-tuned and validated.

Keywords: security,forensics,evidence recovery,crime scene reconstruction,footwear impression,tyre impression,3d scanner,hand held sensor,fringe projection,forensic analysis,data integrity
Highly innovative push-pull handbike for boosting wheelchair mobility (STRINGBIKE)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Hungary
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-11-01
End date: 2017-04-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

According to the United Nations Convention on the Rights of Persons with Disabilities (UNCRPD) to ensure effective personal mobility, wheelchair users need a wheelchair which fits them correctly and meets their specific needs. This requires an approach that is responsive to individual needs. However, statistics show that less than 5% of those in need have access to a properly fitted wheelchair. As the ‘traditional’ wheelchairs usually offer only a limited mobility and/or less healthy movements for their users, different connectable bicycles have been invented, but mainly with the traditional chain drive that can be operated by hand pedalling movements. We find the chain drive an outdated solution and the pedalling motion less healthy than the rowing moves, therefore we created a push-pull handbike with our highly innovative string drive technology, which can better meet the above cited requirements concerning wheelchair users’ mobility. With our future developments we aim to adjust our push-pull handbike to all segments of wheelchair users including women, children, the elderly and those who can use only one arm. After fully meeting all users’ needs, we plan to bring the handbike into serial production. For resultful developments - to be done preferably in a Phase 2 project - and a successful commercialisation, we would like to carry out the proposed Phase 1 project.

Keywords: wheelchair mobility,handbike,string drive
Green Enantioselective Halogenation for Drug Discovery and Manufacture (GreenX4Drug)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Spain,Ireland,Italy
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2018, 2018)
Start date: 2019-04-01
End date: 2023-12-31
Duration (months): 57.0
Total project cost (EUR): 607200.0
EU funding (EUR): 607200.0
Participants: 3
Project status: SIGNED

The aim of this project is to bring together subject matter experts from the academic and non-academic sectors to develop and exemplify the use of new catalysts and new green reactions to manufacture important halogenated compounds that could be used in drug discovery and drug production. In order to achieve this objective the proposal brings together 3 partners with complementary skills: University of Naples (UNINA): expertise in medicinal chemistry and drug discovery. KelAda Pharmachem: expertise in green chemistry, chemical batch process development and scale-up. UCO: expertise in process engineering of continuous flow processes. We have broken this proposal into the following separate technical Work Packages: WP1: Preparation of new catalysts for efficient desymmetrization [WP Leader: UNINA]. WP2: Development of enantiospecific halogenation including Fluorination. [WP Leader: Kelada Pharmachem]. WP3 Drug Candidate, library creation & in vitro testing. [WP Leader: Kelada Pharmachem] WP4 Development of flow variant and scale-up.[WP Leader: UCO} The above WP's will be undertaken via a series of interlinked secondment of researchers between the consortium partners and will be complemented by a series of training and other initiatives to facilitate interdisciplinary and inter-sectoral knowledge sharing and exchange.

Keywords: organocatalysis,halogenation,green chemistry,continuous flow
Aerodynamic and aeroacoustic modeling of closely operating propellers for DIStributed PROPulsion (DISPROP)

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: Germany,Germany,Germany,Netherlands
Call: Analytical and experimental characterization of aerodynamic and aeroacoustic effects of closely operating propellers for distributed propulsion wing solutions. (H2020-CS2-CFP11-2020-01, 2020)
Start date: 2021-02-01
End date: 2023-10-31
Duration (months): 33.0
Total project cost (EUR): 2738790.0
EU funding (EUR): 2738790.0
Participants: 5
Project status: SIGNED

DISPROP aims at improving the current aerodynamic and aeroacoustic analysis and design capabilities for large aircraft operating with distributed propulsion (DP) and propeller arrays. This will be done by generating a high-quality, industry-relevant experimental database using 2D and 2.5D wing sections equipped with propeller arrays. Using this database, the capability of existing CFD and CAA codes will be updated in order to better predict the relevant aerodynamic and aeroacoustic interaction phenomena occurring between the wing and the propellers slipstream. Parametric studies will be conducted to identify most promising configurations. This 30-months 2,7M valued project will consist of four phases. After a preparatory phase, where relevant geometries will be selected based on their high potential for DP, two to three wing geometries will be highly parametrized in Phase 1 and investigated by both CFD and medium-scale wind tunnel tests (WTT). Then, in Phase 2, the most promising configuration will be wind-tunnel tested in large scale at DNW NWB to generate aerodynamic and aeroacoustic experimental database that will be used to validate CFD and CAA simulations. In a subsequent exploitation phase, the combined numerical and experimental database will be extrapolated to full-scale 3D geometries based on the advanced Power Balance Method. The analysis and design tools matured and validated within DISPROP will enable the development of new aircraft configurations with DP and closely integrated propellers. Operating with a drastic increase in overall efficiency compared to conventional aircraft, such configurations contribute to the CS2 objective of reduced CO2 emissions. The DISPROP consortium is composed of internationally recognized experts in CFD and CAA modeling, academic and industrial-scale WTT (the best facility in Europe for aerodynamic and aeroacoustic aircraft validation), as well as aircraft designers experienced in DP.

Keywords: distributed propulsion,aerodynamics,aeroacoustics,aircraft design,wind tunnel testing
Spermidine in hypertension: therapeutic potential and novel mechanisms (SPeR-ToNE)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-02-21
End date: 2025-06-11
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: SIGNED

Hypertension pharmacotherapy, albeit fairly effective, is far from ideal and adequate blood pressure control is only achieved in one third of patients. As such, hypertension is still the global leading cause of cardiovascular disease and mortality. In this regard, we have recently discovered that higher intake of the caloric restriction mimetic spermidine – a potent inducer of the cellular quality control mechanism, autophagy – correlates with lower blood pressure in humans. Administering spermidine to animals also delays the development of hypertension and vascular aging, suggesting it might be useful for disease prevention. However, whether spermidine can be used for therapy, as urgently needed in patients, is still unknown. Thus, the main objective of this proposal is to elucidate the therapeutic benefit of spermidine in established experimental hypertension. Applying a multitude of cutting-edge techniques, including knockout of autophagy genes and metabolic flux, we will provide key mechanistic insights on whether spermidine counteracts hypertension via activating autophagy, upregulating the arginine-nitric oxide axis, or both. With the ultimate goal of translating our findings from animals to humans, we will validate the clinical relevance of these mechanisms in patients' samples. Hence, this proposal will not only reveal a potential novel treatment for patients with hypertension, but will also study a previously understudied cross-talk between blood pressure control and autophagy. If true, we anticipate the project results to pave the way for a novel concept for hypertension therapy. Considering that the work will be done at a leading multi-disciplinary research group, where the researcher will bring expertise in cardiology and receive advanced training in cell biology and molecular metabolism, the fellowship will substantially advance his academic career to eventually reach his goal of leading his own research team.

Keywords: caloric restriction mimetics,autophagy,spermidine,hypertension
multi-hAzard monitoring and earLy wARning systeM (ALARM)

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,Germany,Italy,Spain,Belgium,United Kingdom
Call: Environment and Meteorology for ATM (H2020-SESAR-2019-2, 2019)
Start date: 2020-11-01
End date: 2022-12-31
Duration (months): 26.0
Total project cost (EUR): 991268.75
EU funding (EUR): 991268.75
Participants: 6
Project status: CLOSED

The overall objective of ALARM (“multi-hAzard monitoring and earLy wARning systeM” (ALARM) is to develop a prototype global multi-hazard monitoring and Early Warning System (EWS). A global multi-hazard monitoring means near-real time (NRT) and continuous global Earth observations from satellite, with the objective to generate prompt alerts of natural hazards affecting ATM and to provide information for enhancing situational awareness and providing resilience in crisis. NRT data (with delay of delivery from 10 min, to less than 4h) and tailored products from ground-based and satellite systems, will be used to feed models capable of detecting (creation of alert products) and predicting (nowcasting/forecasting) the risk/displacement of: • particles in suspension and gas derived from natural hazards (volcanic ash and SO2, dust clouds from sandstorms, and smoke from forest fire); • severe weather situations such as deep convection and extreme weather; • space weather regarding exposure to increased levels of radiation during flight; • environmental hotspots potentially contributing to global warming in a large extent. ALARM EWS plans to provide alert information for the stakeholders about the threat to aviation in three different manners: 1) early warning (geolocation, altitude and level of severity -quantification if available- of the observed hazard); 2) for some cases nowcasting [up to 2h] and 3) forecasting [from 2h to 48h] of hazard evolution at different flight levels. The consortium will analyse the requirements for its inclusion in the yellow SWIM profile. Specifically, the aim is to enhance situational awareness of all stakeholders in case of multiple hazard crisis by facilitating the transfer of required relevant information to end-users, presenting such information in a user-friendly manner to ATM stakeholders. In summary, anticipating severe hazards and fostering better decision-making.

Keywords: alert systems,space weather,thuderstorm nowcasting
Advanced machine learning for Innovative Drug Discovery (AIDD)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Industrial Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Austria,Austria,Germany,Germany,Germany,Spain,Germany,Ukraine,Germany,Switzerland,Belgium,Finland,Belgium,Sweden,Netherlands,Luxembourg
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2021-01-01
End date: 2025-03-31
Duration (months): 51.0
Total project cost (EUR): 3926573.39
EU funding (EUR): 3926573.39
Participants: 17
Project status: SIGNED

The dramatic increase in using of Artificial Intelligence (AI) and machine learning methods in different fields of science becomes an essential asset in the development of the chemical industry, including pharmaceutical, agro biotech, and other chemical companies. However, the application of AI in these fields is not straightforward and requires excellent knowledge of chemistry. Thus, there is a strong need to train and prepare a new generation of scientists who have skills both in machine learning and in chemistry and can advance medicinal chemistry, which is the prime goal of the AIDD proposal. Research WPs include sixteen topics selected to cover the key innovative directions in machine learning in chemistry. Fellows employed will be supervised by academics who have excellent complementary expertise and contributed some of the fundamental AI algorithms which are used billions of times per day in the world, and leading EU Pharma companies who are in charge of new medicine and public health. All developed methods can be used individually but will also contribute to an integrated "One Chemistry" model that can predict outcomes ranging from different properties to molecule generation and synthesis. Training on various modalities allows the model to understand how to intertwine chemistry and biology to develop a new drug making its design robust and explainable. All partners agreed to make their software open source. It will boost the field and will provide the broadest possible dissemination of the results both to the academy and industry, including SMEs. The network will offer comprehensive, structured training through a well-elaborated Curriculum, online courses, and six Schools. The IP policy and commercial exploitation of the project results have the highest priority supported by intellectual property asset management organizations. Comprehensive public engagement activities will complement the dissemination of results to the scientific community.

Keywords: explainable ai,generative models,chemical reactions,deep learning,lstm,prostate cancer,microscopy images,phenotypic screening,yield prediction,quantum machine learning,boltzmann generators