Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
PROTECTIVE INNOVATIONS OF NEW EQUIPMENT FOR ENHANCED RIDER SAFETY (PIONEERS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Italy,Australia,Germany,Spain,Italy,Italy,Italy,Italy,Italy,Germany,Spain,France,France,Netherlands
Call: Protection of all road users in crashes (H2020-MG-2017-Two-Stages, 2017)
Start date: 2018-05-01
End date: 2021-10-31
Duration (months): 42.0
Total project cost (EUR): 4839363.58
EU funding (EUR): 4725613.58
Participants: 17
Project status: CLOSED

The main pillars of PIONEERS are to achieve a deep understanding of the injuries sustained by PTW users, improve the performance of safety systems (Personal Protective Equipment, PPEs, and on-board systems), to develop better test and assessment methods and to increase the use rate of PPE. The improved performance will be achieved by understanding the most safety-critical accident scenarios and impact conditions to reach a higher level of understanding on how the injuries occur and by developing more reliable, realistic and robust test methods. An increased use will be fulfilled by listening to the riders’ needs, improving the systems in terms of comfort (without compromising safety) and carrying out active awareness raising and dissemination actions. The main goal of the PIONEERS project is to improve the safety of PTWs (both conventional and electric) by providing an integrated approach to rider protection considering on-rider (PPE) and on-board systems. Therefore, this project will investigate and assess the direct contribution to the reduction of fatalities and the severity of injuries, as well as the number of injured PTW users. The tools for that are developing new PPEs and on-board safety systems, as well as improving the validation and assessment methods and increasing the usage rate of such devices. Developing high-quality products (PPEs and on-board systems) from the European manufacturers and sensitizing the PTW users for the enhanced safety potential of those products will not only increase the safety level for PTW users but will also strengthen European competitiveness. Finally, the main results of PIONEERS will be: (i) higher understanding of injuries suffered by the riders (ii) better testing methods enabling better performance assessment and (iii) better products (PPEs and on-board systems) achieving an increased safety level for PTW users.

Keywords: protective equipment,biomechanics,helmet
Spin transport and spin-orbit phenomena in 2D materials (2DSTOP)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-03-01
End date: 2021-02-28
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

We live in a technological world where usage of electronic devices for information technology is an integral part of everyday life. Present and future technological progress requires miniaturization of such devices, continuous improvement of their performances and decreasing of energy consumption. Spintronics, a growing research field based on the manipulation of the spin of the electrons, offers devices that fulfil these needs. However, a new generation of proposed spintronic devices are yet to be realized due to the lack of a tuneable spin transport channel. The major obstacle to build such channel is that the transport and the manipulation of spins (which require weak and strong spin-orbit coupling, respectively) in the same material are mutually exclusive. 2DSTOP addresses this problem by exploiting the unconventional spin-dependent properties of the transition metal dichalcogenides. In these two dimensional (2D) layered materials, electrically tuneable spin transport in the presence of strong spin-orbit coupling is theoretically predicted. 2DSTOP envisions the experimental realization of such predictions. Combining these materials with other 2D materials such as graphene and hexagonal boron nitride, this proposal plans to investigate not only the spin transport, but also some of the exotic spin-orbit-related phenomena. This way, the project aims at acquiring scientific knowledge with potential technological applications to be useful for both academia and industry. Moreover, the ultimate goal of 2DSTOP is to offer high-quality interdisciplinary research training for an aspiring young researcher helping him to build a promising scientific research career.

Keywords: spin transport,spin hall effect,2d materials,graphene,transition metal dichalcogenides
Accuracy and precision for molecular solids (APES)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Czechia
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-01-01
End date: 2023-12-31
Duration (months): 72.0
Total project cost (EUR): 924375.0
EU funding (EUR): 924375.0
Participants: 1
Project status: SIGNED

The description of high pressure phases or polymorphism of molecular solids represents a significant scientific challenge both for experiment and theory. Theoretical methods that are currently used struggle to describe the tiny energy differences between different phases. It is the aim of this project to develop a scheme that would allow accurate and reliable predictions of the binding energies of molecular solids and of the energy differences between different phases. To reach the required accuracy, we will combine the coupled cluster approach, widely used for reference quality calculations for molecules, with the random phase approximation (RPA) within periodic boundary conditions. As I have recently shown, RPA-based approaches are already some of the most accurate and practically usable methods for the description of extended systems. However, reliability is not only a question of accuracy. Reliable data need to be precise, that is, converged with the numerical parameters so that they are reproducible by other researchers. Reproducibility is already a growing concern in the field. It is likely to become a considerable issue for highly accurate methods as the calculated energies have a stronger dependence on the simulation parameters such as the basis set size. Two main approaches will be explored to assure precision. First, we will develop the so-called asymptotic correction scheme to speed-up the convergence of the correlation energies with the basis set size. Second, we will directly compare the lattice energies from periodic and finite cluster based calculations. Both should yield identical answers, but if and how the agreement can be reached for general system is currently far from being understood for methods such as coupled cluster. Reliable data will allow us to answer some of the open questions regarding the stability of polymorphs and high pressure phases, such as the possibility of existence of high pressure ionic phases of water and ammonia.

Keywords: molecular solids,random phase approximation,coupled cluster,density functional theory,polymorphism,high pressure phases
Proteome profiling using plasmonic nanopore sensors (NanoProt-ID)

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: Israel
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-08-01
End date: 2024-07-31
Duration (months): 60.0
Total project cost (EUR): 2498869.0
EU funding (EUR): 2498869.0
Participants: 1
Project status: SIGNED

To date, antibody-free protein identification methods have not reached single-molecule precision. Instead, they rely on averaging from many cells, obscuring the details of important biological processes. The ability to identify each individual protein from within a single cell would transform proteomics research and biomedicine. However, single protein identification (ID) presents a major challenge, necessitating a breakthrough in single-molecule sensing technologies. We propose to develop a method for proteome-level analysis, with single protein resolution. Bioinformatics studies show that >99% of human proteins can be uniquely identified by the order in which only three amino-acids, Lysine, Cysteine, and Methionine (K, C and M, respectively), appear along the proteins’ chain. By specifically labelling K, C and M residues with three distinct fluorophores, and threading them, one by one, through solid-state nanopores equipped with custom plasmonic amplifiers, we hypothesize that we can obtain multi-color fluorescence time-trace fingerprints uniquely representing most proteins in the human proteome. The feasibility of our method will be established by attaining 4 main aims: i) in vitro K,C,M protein labelling, ii) development of a machine learning classifier to uniquely ID proteins based on their optical fingerprints, iii) fabrication of state-of-the-art plasmonic nanopores for high-resolution optical sensing of proteins, and iv) devising methods for regulating the translocation speed to enhance the signal to noise ratio. Next, we will scale up our platform to enable the analysis of thousands of different proteins in minutes, and apply it to sense blood-secreted proteins, as well as whole proteomes in pre- and post-metastatic cancer cells. NanoProt-ID constitutes the first and most challenging step towards the proteomic analysis of individual cells, opening vast research directions and applications in biomedicine and systems biology.

Keywords: plasmonic nanopores,protein fingerprinting
Trapping intramembrane protease substrates in living cells: focus on RHBDL4 role in ERAD (StressRhomboid)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-07-29
End date: 2023-05-28
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: SIGNED

Intramembrane proteolysis is increasingly understood to control many cellular processes but we still know little about the role of most intramembrane proteases. The major roadblock is the lack of a robust method of protease substrate discovery. In this action, I focus on RHBDL4, a poorly understood but highly conserved member of the rhomboid intramembrane serine protease family, which participates in ER associated degradation (ERAD), apoptosis and exocytosis, and which has been frequently implicated in cancer growth and metastasis. My three objectives are to establish a systematic approach to trapping and identifying rhomboid substrates; to use this to discover the substrates of human RHBDL4; and to explore the mechanism of how RHBDL4 participates in ER quality control. Matthew Freeman's group discovered rhomboids and is a leader in the field. I will also collaborate with Jason Chin in Cambridge, who has pioneered the use of genetically encoded unnatural amino acids (UAAs) to engineer proteins. I will adapt a technique recently published by the Chin lab for use in living cells. Using a cross-linking UAA analogue of the catalytic serine in RHBDL4, I will achieve unprecedented specificity and efficiency of substrate capture. I will thus covalently capture RHBDL4 substrates, which will then be identified by mass spectrometry. Hits will be functionally validated and, using a range of experimental conditions, I will distinguish substrates involved in ERAD from substrates cleaved in other RHBDL4-dependent processes. By establishing the first systematic assay for rhomboid substrates and investigating the role of RHBDL4 in ER quality control, I will pioneer a general approach to intramembrane protease substrate discovery; gain broader understanding of how RHBDL4 contributes to cellular quality control; and finally reveal pathophysiological roles of this human protein, thereby guiding possible future therapeutic targeting.

Keywords: serine protease rhomboid intramembrane protease er associated degradation substrate capture rhbdl4
An interoperable multidomain CBRN system (NEST)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Increase Europe's resilience to crises and disasters
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Spain,Poland,Poland,Poland,Portugal
Call: Chemical, biological, radiological and nuclear (CBRN) cluster (H2020-SU-SEC-2020, 2020)
Start date: 2021-05-01
End date: 2024-04-30
Duration (months): 36.0
Total project cost (EUR): 3473702.5
EU funding (EUR): 3473702.5
Participants: 10
Project status: SIGNED

NEST will design and implement a novel and unique standoff system with the capability to detect multiple threats amongst which CBRN threats or pandemic viruses. As the day-to-day protection of commercial and transport facilities is the responsibility of the owners and operators, in close cooperation with local law enforcement, NEST will support owners, operators, and security staff by providing (i) threat indications and warnings, and (ii) guidance for facility security by developing appropriate information-sharing and analysis mechanisms. The system will rely on the simultaneous use of low-cost CBRN detectors embedded in one unique detection equipment, which can be located into different sites inside the building or carried by security staff. The use of low-cost sensors will enable to cover a wide space inside. NEST will help in the early detection of CBRN threats in real time, and also provide complementary information—such as such location of threats, temperature, humidity, time, operators involved, etc.—useful for auditing or investigation purposes. These functionalities will be achieved by using an IoT platform capable of acquiring, processing, and merging data from internal and third-party services. Artificial intelligence will be applied to support decision process for securing facilities and for generating automatic alerts. Furthermore, augmented reality will be used to display threats and hazards in a manner that minimise distraction and cognitive failures. NEST will be validated in three different scenarios within the transport and commercial sectors. These scenarios include a diverse range of sites that draw large crowds of people. NEST will share information with the command centers of a stadium, a transport system, and a hotel to assess the risk situation. As a result of this action, owners, operators, and security staff will benefit from a universal system that will lay the foundations for creating a standardisation framework.

Keywords: multipurpose cbrn threats detectors,augmented reality guidance,decision support system,infrastructure protection,risk assessment
RENEWABLE ENERGY SYSTEM FOR RESIDENTIAL BUILDING HEATING AND ELECTRICITY PRODUCTION (RESHeat)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Innovation actions
Countries involved: Italy,Finland,Poland,Poland,Poland,Czechia
Call: Renewable and energy efficient solutions for heating and/or cooling, and domestic hot water production in multi-apartment residential buildings (H2020-LC-SC3-EE-2020-1, 2020)
Start date: 2020-12-01
End date: 2024-11-30
Duration (months): 48.0
Total project cost (EUR): 2865250.0
EU funding (EUR): 2404937.5
Participants: 8
Project status: SIGNED

RESHeat delivers an advanced 100% RES system on combined cooling, heating, and power (CCHP), including seasonal underground energy storage. The RESHeat system enables: • The use of solar energy as a primary renewable energy source, • Production of heat and electricity by using PV-T (Photovoltaic - Thermal) panels, • Seasonal underground heat storage in the system, • Wastewater heat storage, as well as waste heat recovered from the air-conditioning and industrial processes, • Delivery of the heating and cooling to the building through the heat pump, • Delivery of the electrical Energy to the building The novelties of the system are: • High COP of the heat pump with yearly average over 5.5. Such a high COP enables effective underground energy storage, thus less electrical energy is consumed by the heat pump compressor • Highly efficient ground regeneration due to the heat transfer from the storage unit to the ground and from boreholes through the ground, therefore the COP of the heat pump is not decreasing in consecutive years. • Available heat storage from various sources (PV-T, wastewater, air conditioning and industrial processes) • Coupling PV-T and ETSC (Evaculated Tube Solar Collectors) with sun-tracking systems to achieve electrical energy conversion up to 20 % and maximize renewable energy yield.

Keywords: cchp
Mesopelagic Southern Ocean Prey and Predators (MESOPP)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: Coordination and support actions
Countries involved: Australia,Norway,France,France,United Kingdom,United Kingdom
Call: Enhancing and focusing research and innovation cooperation with the Union’s key international partner countries - proposals targeting Australia, USA, Brazil, South Africa, Ukraine (H2020-INT-INCO-2015, 2015)
Start date: 2016-06-01
End date: 2019-05-31
Duration (months): 36.0
Total project cost (EUR): 1061690.0
EU funding (EUR): 1061690.0
Participants: 11
Project status: CLOSED

Mesopelagic Southern Ocean Prey and Predators The underlying concept of MESOPP is the creation of a collaborative network and associated e-infrastructure (marine ecosystem information system) between European and Australian research teams/institutes sharing similar interests in the Southern Ocean and Antarctica, its marine ecosystem functioning and the rapid changes occurring with the climate warming and the exploitation of marine resources. While MESOPP will focus on the enhancement of collaborations by eliminating various obstacles in establishing a common methodology and a connected network of databases of acoustic data for the estimation of micronekton biomass and validation of models, it will also contribute to a better predictive understanding of the SO based on furthering the knowledge base on key functional groups of micronekton and processes which determine ecosystem dynamics from physics to large oceanic predators. This first project and associated implementation (science network and specification of an infrastructure) should constitute the nucleus of a larger international programme of acoustic monitoring and micronekton modelling to be integrated in the general framework of ocean observation following a roadmap that will be prepared during the project.
Answering Questions using Web Data (WDAqua)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,Germany,Germany,Spain,Germany,Greece,Greece,France,France,United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2014, 2014)
Start date: 2015-01-01
End date: 2018-12-31
Duration (months): 48.0
Total project cost (EUR): 3885922.44
EU funding (EUR): 3885922.44
Participants: 13
Project status: CLOSED

The H2020 work programme aims at increasing citizens’ participation in the digital society and making infrastructures “smart”. These processes are increasingly data-driven. Our central motivation is that sharing, connecting, managing, analysing and understanding data on the Web will enable better services for citizens, communities and industry. However, turning web data into successful services for the public and private sector requires skilled web and data scientists, and it still requires further research. WDAqua aims at advancing the state of the art by intertwining training, research and innovation efforts, centered around one service: data-driven question answering. Question answering is immediately useful to a wide audience of end users, and we will demonstrate this in settings including e-commerce, public sector information, publishing and smart cities. Question answering also covers web science and data science broadly, leading to transferrable research results and to transferrable skills of the researchers who have finished our training programme. To ensure that our research improves question answering overall, we require every individual research project to connect at least two steps of the question answering process.Intersectoral secondments (within a consortium covering academia, research institutes and industrial research) as well as network-wide workshops, R&D challenges and innovation projects further balance groundbreaking research and the needs of society and industry. Training-wise these offers equip ESRs with the expertise and transferable technical and non-technical skills that will allow them to pursue a successful career as an academic, decision maker, practitioner or entrepreneur. Our research programme capitalizes on previous research excellence of the beneficiaries; the training programme builds on the excellent local programs of the academic beneficiaries, as well as on a significant commitment from non-academic partners to management.

Keywords: question answering,natural language processing,speech recognition,linked data,open data,data quality,database queries,entity recognition,data visualisation,verbalisation,knowledge discovery