Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The Algebraic Geometry of Chemical Reaction Networks: Structural conditions for uniquely determined Sign-sensitivities. (AlgSignSen)

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-2017, 2017)
Start date: 2019-03-01
End date: 2021-08-28
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

Chemical Reaction Network Theory (CRNT) focuses on determining the dynamical behavior of a (chemical) reaction network from its structural properties. To this end, different approaches within different areas of Mathematics are employed. We use here an algebraic geometric approach: The evolution of the concentrations of the species is modelled by a system of ordinary differential equations (ODEs). Under mass-action kinetics, the ODEs are polynomial, and thus the relevant steady states are the nonnegative solutions of a system of polynomial equations, which can be regarded as the nonnegative part of an algebraic variety (involving unknown parameters). This project addresses the problem of determining sign-sensitivities, that is, whether the concentration of one species at steady state increases/decreases after a perturbation is applied to the system. In particular, we wonder under which structural conditions are sign-sensitivities independent of the parameters of the system and of the original steady state. The novelty of this proposal resides in that we do not aim at developing algorithms for finding sign-sensitivities, but at obtaining theorems that explain why and when some sign-sensitivities are uniquely determined. The results will allow potential users to manipulate large networks without knowing all the parameters and overcomes the uncertainty of current algorithms arising from having to choose parameter values. I will use my background in Algebraic Geometry to begin a research career in Applied Algebraic Geometry. I will acquire new competences in interdisciplinary research and intersectorial transference of science, and improve my skills in communication and project management. I will work under the mentorship of Elisenda Feliu, in the group Mathematics of Reaction Networks. Due to their resources, experience and knowledge, they represent the perfect environment for the transition from Pure to Applied Mathematics, and in particular for my training in CRNT.

Keywords: chemical reaction network theory,mass action,parametric polynomial equations,steady states,dsr graph,positive algebraic variety
Integrated components, systems and architectures for efficient adaption and conversion of commercial vehicle platforms to 3rd generation battery electric vehicles for future CO2-free city logistics (SYS2WHEEL)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Innovation actions
Partnership: EGVI (cPPP)
Countries involved: Austria,Austria,Austria,Germany,Spain,Italy,Italy,Israel,Austria,Türkiye,Slovenia,United Kingdom
Call: Integrated, brand-independent architectures, components and systems for next generation electrified vehicles optimised for the infrastructure (H2020-LC-GV-2018, 2018)
Start date: 2019-01-01
End date: 2022-09-30
Duration (months): 45.0
Total project cost (EUR): 6531672.5
EU funding (EUR): 4873421.75
Participants: 16
Project status: CLOSED

SYS2WHEEL will provide brand-independent components and systems for integrated 3rd generation commercial battery electric vehicles (cBEVs) for CO2-free city logistics. High efficiency, performance, packaging and modularity enable efficient integration. Mass production costs of e-powertrain components and systems will be considerably reduced, while eliminating negative impact on drivability, safety and reliability. The same components and systems shall be used for different commercial vehicle categories, sub-categories and brands, in urban and inter-urban applications. The project will foster the transition to a broad range of cBEVs and will accelerate market penetration of e-powertrain components and systems. SYS2WHEEL will demonstrate its results on N1 and N2 cBEVs and assesses the related potential for the whole range of L and N category cBEVs as well as extensions to M1 and M2 passenger carriers. Essential enabling elements in SYS2WHEEL are e-motors for both, in-wheel and e-axle systems, a novel suspension for in-wheel systems, the in-wheel and e-axle systems themselves, time-sensitive networking, advanced controls, affordable and efficient processes, as well as scalability/ transferability of innovations. Specifically SYS2WHEEL will reduce costs in mass production by at least 20% through components becoming obsolete and reduction of wiring costs due to application of time-sensitive networks. The powertrain efficiency will be increased by improved e-motor windings, advanced rare-earth magnets, reduced powertrain rotating parts, reduced losses, advanced controls and weight reduction. Affordability, and user-friendliness will be addressed by enhanced modularity and packaging, automotive quality by advanced fail-operational safety and ISO 26262 compliance, modular and scalable technologies and lowered total cost of ownership. Space-saving approaches in SYS2WHEEL lead to more freedom for batteries, cargo and drivers.

Keywords: in wheel motors,in wheel suspension,e axle
Prognostics And Computer Aided Maintenance (PACMAN)

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: Czechia,Czechia
Call: Aircraft System Prognostic solutions integrated into an airline E2E maintenance operational context (H2020-CS2-CFP01-2014-01, 2014)
Start date: 2016-10-01
End date: 2020-09-30
Duration (months): 48.0
Total project cost (EUR): 1757938.75
EU funding (EUR): 1757938.75
Participants: 2
Project status: CLOSED

Aircraft System Prognostic solutions integrated into an airline E2E maintenance operational context. The key objective of the proposal is to demonstrate benefits of aircraft system prognostics solutions integrated into an airline E2E maintenance operational context. This will be achieved by development of following innovative components: • A novel prognostic architecture that includes both on-board and ground elements shall be demonstrated using a large passenger aircraft selected Aircraft System. • Specific prognostics capabilities such as data collection, data processing, symptom generation, failure mode identification and predictive trending shall be demonstrated within an advanced Integrated Health Monitoring and Management (IHMM) system. • A revolutionary augmented reality (AR) mobile tools as gesture recognition, speech recognition and near-to-eye (NTE) displays that aids maintenance execution by bringing the necessary information directly to the engineer at remote repair sites shall be developed and demonstrated. The primary impact of the proposed work shall be to maximize aircraft utilization and achievement of reduction in operational interrupts. We will achieve this by developing a framework allowing Airlines, MROs, OEMs, and Suppliers to share a common understanding of the diagnostic and prognostic health of the aircraft. This program leverages some of ongoing Honeywell work in the area of predictive analytics, connected aircraft architectures, and computer aided maintenance to achieve Large Passenger Aircraft IADP Platform work package 3.6 goals.

Keywords: aircraft maintenance,computer vision,prognostics maintenance,system health management
Tha novo catalytic synthesis of β-aminoacids from CO2 (NOVOCAT)

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: Chemistry
Countries involved: Spain
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-03-01
End date: 2018-02-28
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

This proposal deals with the development of an innovative and unconventional catalytic de novo approach to β-amino acids, compounds of remarkable biological significance, using simple, available and abundant carbon dioxide (CO2) as C1 synthon. Specifically, NOVOCAT will promote a synergistic catalytic C-N bond-cleavage/CO2 insertion event of readily available aziridines from a synergistic and rather challenging C-N cleavage/CO2 insertion event. The project will offer all the necessary understanding behind the factors influencing both C-N bond-cleavage and the subsequent CO2 insertion event, thus opening up new horizons in preparative organic chemistry as well as offering solutions to a social, industrial and academic problem such as the use of CO2 as chemical feedstock. NOVOCAT´s design will allow for promoting a counterintuitive catalytic desymmetrization or dynamic kinetic resolution events of aziridines with CO2 en route to β-amino acids. This proposal will lead to new knowledge in synthetic design, thus providing new logics in retrosynthetic analysis that will likely attract the interest of both pharmaceutical and industrial laboratories.

Keywords: carbon dioxide,c n activation,nickel,amino acids,desymmetrization
Personalised Decision Support for Heart Valve Disease (EurValve)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Methods and data
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Poland,France,France,Netherlands,United Kingdom,United Kingdom
Call: Digital representation of health data to improve disease diagnosis and treatment (H2020-PHC-2015-single-stage, 2015)
Start date: 2016-02-01
End date: 2019-01-31
Duration (months): 36.0
Total project cost (EUR): 4998012.51
EU funding (EUR): 4998012.5
Participants: 13
Project status: CLOSED

Valvular Heart Disease currently affects 2.5% of the population, but is overwhelmingly a disease of the elderly and consequently on the rise. It is dominated by two conditions, Aortic Stenosis and Mitral Regurgitation, both of which are associated with significant morbidity and mortality, yet which pose a truly demanding challenge for treatment optimisation. By combining multiple complex modelling components developed in recent EC-funded research projects, a comprehensive, clinically-compliant decision-support system will be developed to meet this challenge, by quantifying individualised disease severity and patient impairment, predicting disease progression, ranking the effectiveness of alternative candidate procedures, and optimising the patient-specific intervention plan. This algorithmically-driven process will dramatically improve outcomes and consistency across Europe in this fast-growing patient group, maximising individual, societal and economic outcomes.

Keywords: in silico,valvular,heart
Mechanism and function of gasdermin-induced inflammatory cell death (InflamCellDeath)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Immunity, Infection and Immunotherapy
Panel description: The immune system, related disorders and their mechanisms, biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases, innovative immunological tools and approaches, including therapies
Countries involved: Switzerland
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-03-01
End date: 2024-02-29
Duration (months): 72.0
Total project cost (EUR): 1999176.0
EU funding (EUR): 1999176.0
Participants: 1
Project status: SIGNED

Pyroptosis is a lytic pro-inflammatory type of programmed cell death that is induced by inflammatory caspases, a family of proteases that control the innate immune response to infection, injury or noxious substances. Inflammatory caspases are activated within so-called inflammasomes, cytosolic signalling platforms that are assembled by pattern recognition receptors upon the detection of pathogen- or host-derived danger signals. Pyroptosis is essential for antimicrobial host defense, but also promotes the concomitant release of inflammatory danger signals and leaderless cytokines that is detrimental during chronic inflammatory disease. Recently it was found that pyroptosis is caused by the cleavage of a single caspase substrate called gasdermin-D. This cleavage generates a cytotoxic N-terminal fragment of gasdermin-D that targets the plasma membrane, where it forms large permeability pores and thus causes pyroptotic cell death. Gasdermin-D is only one member of the larger gasdermin protein family, an emerging group of cell death effectors that share its pore-forming cytotoxic activity and that appear to be major regulators of inflammatory necrotic cell death. The main goal of this proposal is to comprehensively characterize the function of gasdermins in anti-microbial host defense, to investigate the consequences of gasdermin-D pore formation to the host cell and to elucidate the pathways that regulate gasdermin activation. My objectives are: 1) to define the role of gasdermin-D in inflammasome-dependent anti-bacterial host defense 2) to study the role of membrane repair in restricting gasdermin-D-induced membrane 3) to characterize the function and regulation of other gasdermin family members during infection By characterizing the mechanism and function of gasdermin-induced cell death in host-defense and inflammation this project may contribute to the development of novel therapies for infectious as well as inflammatory diseases.
Accelerating Neuroscience Research by Unifying Knowledge Representation and Analysis Through a Domain Specific Language (NeuroLang)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: France
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-03-01
End date: 2024-02-29
Duration (months): 72.0
Total project cost (EUR): 1497045.0
EU funding (EUR): 1497045.0
Participants: 1
Project status: SIGNED

Neuroscience is at an inflection point. The 150-year old cortical specialization paradigm, in which cortical brain areas have a distinct set of functions, is experiencing an unprecedented momentum with over 1000 articles being published every year. However, this paradigm is reaching its limits. Recent studies show that current approaches to atlas brain areas, like relative location, cellular population type, or connectivity, are not enough on their own to characterize a cortical area and its function unequivocally. This hinders the reproducibility and advancement of neuroscience. Neuroscience is thus in dire need of a universal standard to specify neuroanatomy and function: a novel formal language allowing neuroscientists to simultaneously specify tissue characteristics, relative location, known function and connectional topology for the unequivocal identification of a given brain region. The vision of NeuroLang is that a unified formal language for neuroanatomy will boost our understanding of the brain. By defining brain regions, networks, and cognitive tasks through a set of formal criteria, researchers will be able to synthesize and integrate data within and across diverse studies. NeuroLang will accelerate the development of neuroscience by providing a way to evaluate anatomical specificity, test current theories, and develop new hypotheses. NeuroLang will lead to a new generation of computational tools for neuroscience research. In doing so, we will be shedding a novel light onto neurological research and possibly disease treatment and palliative care. Our project complements current developments in large multimodal studies across different databases. This project will bring the power of Domain Specific Languages to neuroscience research, driving the field towards a new paradigm articulating classical neuroanatomy with current statistical and machine learning-based approaches.

Keywords: computational neuroanatomy,domain specific language,brain connectivity,diffusion mri,functional mri
First low-cost semi-passive RFID tags for cold-chain logistics digitalisation and optimisation (TagAndGo)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-07-01
End date: 2019-09-30
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Every year, the pharma and food industries lose € 43 billion-worth of medicinal and nutritional products due to failures in cold chain logistics. Cold chain logistics is a complex network, where real-time tracking and monitoring of products is the only way to quickly identify failures and minimise losses. Manufacturers, such as pharma companies, who’s products are lost, are thus leading the push towards optimisation of tracking and tracing practices in cold chain logistics. But how can this be done? Temperature-sensitive sensor technologies, such as stick-on tracker tags, have the potential to reduce waste generated in cold-chain logistics by 5-7%, as temperature problems in the cold chain can be quickly identified and rectified. Today, this instant identification is only possible with so called semi-passive tags, which allow for real-time tracking of temperature-sensitive products. They are however very expensive, costing up to €18/tag. This means that for low-value products, where profit margins cannot cover the cost of these expensive tags, no optimisation of the logistics cold-chain and thus wastage prevention can occur. At Myruns, we have developed the first semi-passive stick-on tag, Tag&Go, at a 96% lower price than existing semi-passive solutions. Tag&Go is made possible through an optimised and patented processing route. Tag&Go simply “drops-in” to customer processes and enables real-time monitoring by any relevant party, such as product manufacturers, logistics providers or customers. Therefore, any failures in the logistics cold-chain can be identified instantly and cheaply, and rectified. €3 billion can be saved by preventing product damage through optimised cold chain logistics practices, and Tag&Go is a key enabler of this saving. Tag&Go has thus already received significant interest from the cold-chain-dependent pharma industry. We therefore expect to capture 2.2% of the European SAM by 2026, creating 60 new jobs in the process.
Non AdS holography and generalized geometric structures (GenGeoHol)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-09-01
End date: 2023-08-31
Duration (months): 72.0
Total project cost (EUR): 1300775.0
EU funding (EUR): 1300775.0
Participants: 1
Project status: SIGNED

Holography is by now a fundamental tool in the understanding of both strongly coupled conformal field theories (CFTs) and quantum theories of gravity. While holography in Anti de Sitter (AdS) space-times is rather well understood, we currently lack a basic picture of what it means in non-AdS space-times. Considering non-AdS space-times is an essential and urgent next step in the study of quantum gravity as we seem to live in a universe with a positive cosmological constant that is approaching de Sitter (dS) in the far future. Also, the near-horizon geometries of black holes are typically described by more exotic geometries that need to be understood on their own right. I propose to address this and study the physics of holographic systems on non-AdS space-times and their connection to generalized geometric structures that naturally arise in these setups. In order do this I will use both conventional field theory techniques and new holographic tools, some of which I have developed recently. The relevance of GenGeoHol is illustrated by universal properties of black holes, e.g. their area-law entropy. These are independent of AdS, pointing towards the existence of a more general holographic principle that generalizes the usual symmetries and geometric notions. A great deal of evidence has accumulated recently indicating that this is indeed the case. The physics of extremal black holes and non relativistic systems are clear examples. GenGeoHol will impact a wide range of fields. As one moves away from AdS Einstein gravity, the dual quantum-field theories present different symmetries from that of usual relativistic systems. These systems couple naturally to generalized background geometries which are of intrinsic interest and key to a range of concepts extending from Newton-Cartan geometry in non-relativistic systems to higher-spin geometries for so-called W_N CFTs. Given my experience and track record, I am uniquely positioned to attack this problem successfully.