Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Metabolic integration by nutrient SENSing (MetaboSENS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: France
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-11-01
End date: 2025-10-31
Duration (months): 72.0
Total project cost (EUR): 1999391.0
EU funding (EUR): 1999391.0
Participants: 1
Project status: SIGNED

Nutrient sensing enables metabolic homeostasis by matching energy use with fuel availability. The vast body of knowledge on pro-anabolic nutrient sensors, such as insulin and class 1 phosphoinositol-3 kinase (PI3K) signalling exposed the missing links in molecular coordination of catabolism. The cellular catabolism relies on mitochondrial activities and on lysosomal pathway of autophagy, both paced by the biological clock. However, how pro-catabolic nutrient sensors synchronize these catabolic activities is not well understood. We discovered that class 3 PI3K, the only PI3K present in all eukaryotes, is essential for catabolic homeostasis in vivo, but the mechanisms of its metabolic functions are still lacking. We found novel roles for class 3 PI3K in metabolic adaptation to fasting and mitochondrial activity, beyond its established functions in autophagy and endosomal trafficking. These findings form the basis of our innovative interdisciplinary research program that will investigate the molecular bases of Metabolic integration in vivo by a nutrient SENSing pathway of class 3 PI3K (MetaboSENS). In the MetaboSENS research program, we seek to identify transcription factor networks and regulatory complexes of class 3 PI3K that serve its catabolic integrator function. We aim to reveal the physiological oscillation of class 3 PI3K signalling and its reciprocal impact on metabolic timekeeping. Finally, the MetaboSENS project will combine patient analyses and the medical expertise of my team to reveal, for the first time, genetic alterations in class 3 PI3K signalling in inborn metabolic disease. The new mechanisms that we discover may provide therapeutic targets that we will test in the pre-clinical models. Altogether, the MetaboSENS project will redefine our view of systemic catabolism.

Keywords: nutrient sensing,catabolism,class 3 phosphoinositide 3 kinase,vps15,vps34,circadian clock,nuclear receptor transcription factors,mitochondria,lysosome,autophagy,human rare liver disease
Integrated Framework for Predictive and Collaborative Security of Financial Infrastructures (FINSEC)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Protect and improve the resilience of critical infrastructures, supply chains and tranport modes
Action type: Innovation actions
Countries involved: Italy,Italy,Germany,Spain,Italy,Israel,Italy,Germany,Italy,Cyprus,Greece,Greece,Romania,Norway,France,France,United Kingdom,United Kingdom,United Kingdom
Call: Prevention, detection, response and mitigation of the combination of physical and cyber threats to the critical infrastructure of Europe. (CIP-2016-2017-2, 2017)
Start date: 2018-05-01
End date: 2021-04-30
Duration (months): 36.0
Total project cost (EUR): 10194437.87
EU funding (EUR): 7817631.25
Participants: 28
Project status: CLOSED

The infrastructures of the financial sector are nowadays more critical, sophisticated and interconnected than ever before, which makes them increasingly vulnerable to security attacks. Despite increased security, most security measures remain fragmented and static i.e. inappropriate for confronting sophisticated and asymmetric attacks. FINSEC is a joint effort of prominent stakeholders in the financial sector and global leaders in physical & IT security, towards introducing a novel standards-based reference architecture (RA) for integrated (cyber & physical) security. The RA will enable timely preparation against attacks, while at the same time facilitating stakeholders’ collaboration for risk assessment/mitigation in the financial supply chain, as a means of confronting complex threats and their cascading effects. FINSEC will provide a mature implementation of the RA, based on the enhancement and integration of novel solutions of the partners (eg., Anomaly Detection, AI CCTV Analytics, Risk Assessment Engines, Collaborative Risk Analysis & Management, Compliance), which will be bundled in a toolbox. The RA implementation and the toolbox will be validated through realistic pilots involving stakeholders in the identification, assessment and mitigation of threats. The five pilots involve high-impact scenarios including SWIFT network protection, buildings and ATM networks security, peer-to-peer payments network protection, risk assessment for insurance purposes and securing financial SMEs. The pilots will engage >=500 security & finance experts, while providing a representative coverage of the financial services industry (ie. banking, capital management, insurance, card & P2P payments), which is a sound basis for FINSEC’s broader impact. Towards maximum impact, FINSEC will establish an ecosystem of security solutions for the financial sector, which will be supported by the partners’ dense network of sales, marketing, standardization and regulation channels worldwide.

Keywords: finance,cybersecurity,physical security,integrated security,predictive security,collaborative security,siem,cctv,banking,fintech,insurancetech
Light-Induced Function: from Excitation to Signal through Time and Space (LIFETimeS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Italy
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-09-01
End date: 2024-02-29
Duration (months): 66.0
Total project cost (EUR): 2400000.0
EU funding (EUR): 2400000.0
Participants: 1
Project status: SIGNED

Organisms of all domains of life are capable of sensing, using and responding to light. The molecular mechanisms used are diverse, but most commonly the starting event is an electronic excitation localized on a chromophoric unit bound to a protein matrix. The initial excitation rapidly “travels” across space to be converted in other forms of energy and finally used to complete the biological function. The whole machinery spans many different space and time scales: from the ultrafast electronic process localized at the subnanoscale of the chromophoric units, through conformational processes which involve large parts of the protein and are completed within micro- to milli-seconds, up to the activation of new protein-protein interactions requiring seconds or more. Theoretically addressing this cascade of processes calls for new models and computational strategies able to reproduce the dynamics across multiple space and time scales. Such a goal is formidably challenging as the interactions and the dynamics involved at each scale follow completely different laws, from those of the quantum world to those of classical particles. Only a strategy based upon the integration of quantum chemistry, classical atomistic and coarse-grained models up to continuum approximations, can achieve the required completeness of description. This project aims at developing such integration and transforming it into high-performance computing codes. The completeness and accuracy reached by the simulations will represent a breakthrough in our understanding of the mechanisms, which govern the light-driven bioactivity. Through this novel point of observation of the action from the “inside”, it will be possible not only to reveal the ‘design principles’ used by Nature but also to give a “practical” instrument to test “in silico” new techniques for the control of cellular processes by manipulating protein functions through light.

Keywords: photoprotection,photosensing,quantum chemistry,hybrid qm,classical models,nonadiabatic dynamics,classical molecular dynamics,molecular docking,continuum solvation models
Optimizing Container Load for Parcel and Pallet Transport Networks (PrEDICTS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Bulgaria
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-04-01
End date: 2018-09-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

EU trucks are driving around with an average of 43% empty space due to poor linehaul capacity utilization in groupage parcel and pallet networks. This leads to important CO2 emissions, congestions, traffic jams, noise levels and low margins for logistics companies. The underlying problem is a data quality issue as shipments are planned based on weight whilst they actually fill up based on volume and dimension. PrEDICTS is a cargo optimization software based on AI and machine learning. It takes a logistics company’s historical data, cleanses and enriches it and optimizes logistics based on predictions for shipping behaviour weeks. It also identifies future excess capacity and suggests strategies on how to achieve full capacity. Our beta client recorded a 10% increase in capacity utilization and 7-9% cost savings (French Post / DPD). Transmetrics is a Bulgarian company whose mission is to improve the efficiency within the cargo transport industry using big data and artificial intelligence. DHL has identified us twice as a future leader in anticipatory/predictive logistics and big data and featured in the Business Insider report on AI Supply Chain and Logistics (more info). We have 22 employees and had €150,000 in revenue in 2017. For 2018, we have already secured €30,000 in monthly revenue (€20,000 licenses and €10,000 in services). With PrEDICTS, Transmetrics targets the top 20,000 transporters (€20+M in revenues) that account for 40% of the total industry. They will need advanced technology to thrive. PrEDICTS competes with two major incumbents and another innovator. But it is the only solution that integrates prediction and optimization in the process and features AI-driven data cleansing and enrichment. PrEDICTS will follow a SaaS subscription-based business model priced at €10k/country/month depending on the business with a potential of 200-300% increase in the price based on the achieved benefits for the companies.

Keywords: decarbonisation,cargo,freight,capacity,optimisation,forecasting
NanoCrystals in Fibre Lasers (NCLas)

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: Spain,Germany,Germany,Poland,United Kingdom
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 2991126.25
EU funding (EUR): 2991126.25
Participants: 6
Project status: SIGNED

The NCLas project will introduce and develop a disruptive technology for the synthesis of glasses containing functional nanocrystals (NCs). It is based on a novel hybrid nanosintering process, which allows for the incorporation of a large variety of NCs and functionalization of glasses in different formats for various applications. Previous attempts to either grow NCs inside glass by a glass heat treatment or incorporate NCs during glass formation showed unconvincing results. In our nanosintering process, key enabling steps include reducing the sintering temperature, developing specialized NC core-shell structures and adjusting the glass composition, thus achieving a chemically inert environment and matching the refractive index of NCs and glass. This technology will be exploited to produce low-loss, NC-functionalized glass fibres. Fibre lasers are energy efficient and compact and offer maintenance-free operation, ultra-short pulses, high power, and low noise. Today’s commercial fibre lasers are fabricated from robust, durable silica glass. The operation of oxide fibre lasers can be extended to an enormous spectral range (~400–3000 nm) by doping oxide glasses with laser-active nanocrystals optimized for particular laser wavelengths, thus enabling a huge variety of new applications. We will demonstrate two highly relevant fibre lasers: (i) a Ti3+:sapphire-NC fibre laser tuneable around 800 nm for bio-photonic applications; (ii) a Pr3+:yttria-NC 1300-nm fibre laser enabling a much-awaited wavelength extension in telecommunications and also fitting into one of the biophotonic windows. The high risk of NCLas is mitigated by an interdisciplinary team with demonstrated experience in their fields and highly complementary backgrounds. We will address the project challenges in all its steps, from material synthesis to device demonstration. NCLas makes a significant contribution to Key Enabling Technologies such as Nanotechnology, Photonics and Advanced Materials.

Keywords: functional glasses,optical fibres fibers,nanocrystals,laser physics,novel optical materials,biophotonics
Antibiotic Distribution and Recovery in Tissue (AB-DiRecT)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Public-private partnerships
Destination: Innovative Medicines Initiative 2
Action type: Research and Innovation actions
Partnership: IMI2 (Art-187)
Countries involved: Austria,France,France,France,United Kingdom
Call: Determination of gepotidacin levels in tonsils and prostatic tissue (H2020-JTI-IMI2-2018-16-single-stage, 2018)
Start date: 2019-07-01
End date: 2023-09-30
Duration (months): 51.0
Total project cost (EUR): 3789717.5
EU funding (EUR): 3429217.0
Participants: 7
Project status: SIGNED

Antimicrobial resistance imposes an important health and economic burden with the threat of a future without effective antibiotics requiring major changes to contemporary healthcare provision. Therefore, the discovery and development of novel mechanism of action agents able to treat resistant infections is a key urgent need. Gepotidacin is a first in class, novel triazaacenaphthylene antibacterial that is being developed by GSK. Due to its novel mechanism of action, gepotidacin is active in vitro against most target pathogens carrying resistance determinants to established antibacterials, including fluoroquinolones. Gepotidacin has broad gram-positive activity and selective gram-negative activity and is currently under development as a treatment for infections caused by N. gonorrhoeae (urogenital gonorrhoea) and E. coli (acute uncomplicated urinary tract infections), including isolates resistant to existing classes of antimicrobials. To explore the potential of gepotidacin to treat infections caused by N. gonorrhoeae or E. coli at other body sites, the AB-DiRecT consortium will conduct a tissue distribution study in tonsil and prostate after single oral dose of gepotidacin in healthy (non-infected) subjects undergoing elective tonsillectomy or prostatectomy. Microdialysis will be used to measure gepotidacin levels in tissue following surgery and PBPK, PopPK and PKPD models will be built to understand the tissue penetration of gepotidacin to characterize exposure response and to evaluate different dose regimens. Difference between infected and healthy tissue will be explored in an animal prostatitis infection model where gepotidacin PK in plasma and tissue will be determined using microdialysis. Overall the data generated in AB-DiRecT may support the potential for clinical trials to determine the efficacy of gepotidacin for the treatment for pharyngeal N. gonorrhoeae infections and / or prostatitis caused by E. coli.

Keywords: antibacterial,microdialysis,pbpk,pkpd,gonorrhoea,prostatitis
Holistic Benchmarking of Big Linked Data (HOBBIT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Germany,Switzerland,Poland,Belgium,Greece,Greece,United Kingdom
Call: Big data - research (H2020-ICT-2015, 2015)
Start date: 2015-12-01
End date: 2018-11-30
Duration (months): 36.0
Total project cost (EUR): 3798453.75
EU funding (EUR): 3718250.0
Participants: 12
Project status: CLOSED

Linked Data has gained significant momentum over the last years. It is now used at industrial scale in many sectors in which an increasingly large amount of rapidly changing data needs to be processed. HOBBIT is an ambitious project that aims to push the development of Big Linked Data (BLD) processing solutions by providing a family of industry-relevant benchmarks for the BLD value chain through a generic evaluation platform. We aim to make open deterministic benchmarks available to test the performance of existing systems and push the development of innovative industry-relevant solutions. The underlying data will mimic real industrial data assembled during the course of the project. At the beginning of the project, HOBBIT will work on roughly 1PB of real industry-relevant data from 4 different domains. The data will be extended through collaborations during the project. To push the use of the benchmarks, we will organize or join challenges that aim to measure the performance of technologies for the different steps of the BLD lifecycle. In contrast to existing benchmarks, we will provide modular and easily extensible benchmarks for all industry-relevant BLD processing steps that allow to assess whole suites of software that cover more than one step. The infrastructure necessary to run the evaluation campaigns will be made available. Our architecture will rely on web interfaces and cloud infrastructures to ensure scalability. The open HOBBIT platform will make human- and machine-readable, public periodic reports available. As exit strategy, the project will create an association after the second project year that will be sustained by the means of subscriptions from industry and academia and associated with existing benchmarking associations. The clear portfolio of added value for the members will be defined in the early project stages and disseminated throughout the evaluation campaigns.

Keywords: big linked data,benchmarking
New tools for key questions in plant development: using qualitative and quantitative proteomics for direct determination of the set of DNA and RNA-binding factors regulating single copy genes (MASAM)

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: Life Sciences
Countries involved: Belgium
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-11-01
End date: 2017-10-31
Duration (months): 24.0
Total project cost (EUR): 160800.0
EU funding (EUR): 160800.0
Participants: 1
Project status: CLOSED

Plant development is based on the activity of meristems. The aerial part of plants is generated from the activity of the shoot apical meristem (SAM). These meristems determine the plant architecture and correct plant architecture have an immense impact in crop productivity. In the plant model Arabidopsis thaliana, a key gene for the correct functioning of the SAM is SHOOT MERISTEMLESS (STM). To study the function of this gene and to apply this knowledge to control plant architecture to generate valuable new plant varieties is of vital importance to determine how this gene is regulated throughout development. Gene regulation is controlled mainly by the action of transcription factors at transcriptional level and also by RNA-binding factors at post-transcriptional level. Then the goal of the project is to determine the set of transcription factors and RNA-binding factors that regulate STM throughout plant development. Current techniques for the determination of the set of factors regulating a gene give partial results, are time-consuming and require huge amounts of biological samples. Then, new tools have to be developed. The most promising ones involve the use of quantitative Proteomics with the latest advances of high-resolution Mass Spectrometry. We take advantage in the recognized expertise in this field of Proteomics by the host institution to develop these new techniques and put them available for the research community. In particular, the results and new discoveries obtained from this project are intended to represent a great progress in plant research.

Keywords: transcription factors,mass spectrometry,arabidopsis,shoot apical meristem,rna binding factors
Nonlinear Sampled-data Attitude Stabilization of Underactuated Spacecraft (SAT STABILIS)

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: Information Science and Engineering
Countries involved: Italy
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-10-01
End date: 2017-09-30
Duration (months): 24.0
Total project cost (EUR): 180277.2
EU funding (EUR): 180277.2
Participants: 1
Project status: CLOSED

Space stakeholders manifest an increasing interest in small satellites dictated by reduced, global costs and “time to market”. Since redundancy is kept to a minimum, achieving attitude stabilization in actuator failure mode with the remaining control torques can offer a fail-safe operation mode, improving the reliability of the attitude control system. The, still open, underlying control problem is challenging, since the nonlinear underactuated system is nonholonomic, admitting only non-smooth stabilizing feedback. Depending on actuator type and additional restrictions on the symmetricity of the spacecraft or its angular momenta, non standard, discontinuous or time-varying solutions have been proposed. Though any continuous-time controller is inevitably implemented digitally on the on-board computer, leading to loss of performance or even destabilization, the effect of sampling is never considered in the state-of-the-art. The aim of the present proposal is to develop novel control algorithms for three-axis attitude stabilization of an underactuated spacecraft in actuator failure mode without significant performance degradation with the remaining control torques. To this purpose, we follow a sampled-data methodology that considers the sampling issues from the beginning in the design process. Theoretical investigations will be conducted for ad-hoc digital solutions based on equivalent discrete models, finite computability and multirate control laws, permitting to impose digital performance objectives that cannot be set in continuous-time. The quality of the innovative algorithms developed is assured by extensive software simulations and application on an experimental attitude control platform. In-orbit technology demonstration and testing, and exploitation of the research outcomes are the focus of the industrial secondment foreseen. The applicability of the results to general classes of underactuated mechanical systems and other related control problems is expected.

Keywords: underactuated spacecraft,attitude stabilization,digital control,nonlinear control,sampled data systems,small satellite,failure recovery