Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Hybrid Aircraft; academic reSearch on Thermal and Electrical Components and Systems (HASTECS)

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: France,France,France
Call: Hybrid Propulsion Component Studies – Electrics (H2020-CS2-CFP02-2015-01, 2015)
Start date: 2016-09-01
End date: 2021-08-31
Duration (months): 60.0
Total project cost (EUR): 1499825.0
EU funding (EUR): 1499825.0
Participants: 6
Project status: CLOSED

The HASTECS project aims at supporting the demonstration of radical aircraft configurations (CS-2/WP1.6) by means of models and tools development that can help the designers in assessing main benefits of architectures and power management of hybrid electric propulsion. The proposed consortium involves all competences to face the huge complexity of this process. All academic researchers will gather their expertise to optimize the overall hybrid power chain, starting with electric and thermal components up to system integration by taking into account main environmental constraints. Assessments will be integrated at the system level and will include design and analysis of main components of the hybrid power chain: electric machines and related cooling, cables, power electronics and related thermal management. This system integration will take into account the main environmental constraints, especially partial discharges due to new high power and ultra-high voltage standards. The HASTECS project proposes to reach aggressive targets with a strong increase of specific powers for the main components; We especially target to double the specific power of electric machines from 5kW/kg for 2025 to 10kW/kg for 2035 while specific powers of converters would evolve from 15kW/kg for 2025 to 25kW/kg for 2035: this expected gap, when installing 4 inverter–motor drives of 1.5MW, will lead to a weight reduction of 1.8 tons, which will offer a significant fuel burn reduction estimated at 3.5% for a short range (~300nm) flight. Additional fuel burn reduction will be obtained thanks to several technological steps as on “auxiliary sources” (batteries, fuel cells, etc) and by optimizing the overall system sizing integrating the power management. Recent assessments estimate that the reduction of total energy provided by both Gas Turbines and auxiliaries (batteries of fuel cells) of the most promising electric hybrid architecture may go beyond 20% for a 300nm regional flight!

Keywords: electric machines,machine cooling,partial discharges,high voltage,power converter,heat exchanger,fuel cells,batteries,system integration,power management,hybrid propulsion,optimization
Ancestral environmental exposures and offspring health – a multigenerational epidemiologic cohort study across 3 generations (MULTIEPIGEN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Finland
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-11-01
End date: 2023-10-31
Duration (months): 72.0
Total project cost (EUR): 2498606.0
EU funding (EUR): 2498606.0
Participants: 1
Project status: SIGNED

MULTIEPIGEN seeks to solve does ancestral exposure to various stressors transmit to offspring via epigenetic mechanisms. Thus far animal models have indicated that exposure to certain stressors can lead to phenotypic changes not only in the predisposed individuals, but also in the future generations, such that individuals can acquire phenotypes caused by exposures of their ancestors. Such effects do not involve new DNA mutations, but are transmitted to offspring via epigenetic mechanisms such as the transfer of non-coding RNA molecules in the semen. In humans, intergenerational transmission has been examined extremely little because a priori designed population-based studies across several generations are lacking. To close this gap MULTIEPIGEN will expand the well-characterized Cardiovascular Risk in Young Finns Study (YFS) to the parents and offspring of the original YFS participants. During the ERC funding period, we will perform field studies involving N~9000 individuals across 3 generations and test 3 key ancestral exposures with very high plausibility causing intergenerational effects on obesity-related phenotypes, cognitive function and psychological well-being. The studied exposures are 1) tobacco smoke, 2) persistent organic pollutants, and 3) accumulation of psychosocial adversities. We will collect serum, blood and semen samples for epigenetic marker analysis to provide understanding of the mechanisms of intergenerational transmission in humans. Specifically, we will seek proof for the hypothesis that paternal stressors can lead to phenotypic changes in the offspring via non-coding RNA molecules in the semen. Multigenerational epidemiologic data showing robust links between ancestral exposures and offspring phenotypes that operate with biologically plausible epigenetic mechanism would provide a conceptual change in the developmental biology in humans and have substantial ramifications on public health.

Keywords: epigenetics,intergenerational transmission,developmental biology
Innovative solutions for sustainable mobility of people in suburban city districts and emission free freight logistics in urban centres. (CIVITAS ECCENTRIC)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Innovation actions
Countries involved: Germany,Spain,Spain,Germany,Finland,Sweden,Finland,Bulgaria,Bulgaria,Sweden,France,Netherlands,Denmark
Call: Demonstrating and testing innovative solutions for cleaner and better urban transport and mobility (H2020-MG-2015_TwoStages, 2015)
Start date: 2016-09-01
End date: 2020-11-30
Duration (months): 51.0
Total project cost (EUR): 19225977.47
EU funding (EUR): 17356347.97
Participants: 32
Project status: CLOSED

The cities of Madrid, Stockholm, Munich, Turku and Ruse have formed the CIVITAS ECCENTRIC consortium to tackle the challenges of mobility in suburban districts and clean, silent and CO2 free city logistics. In many cities, these two important areas have received less attention in urban mobility policies. Though European cities have made significant steps forward in making city centres attractive and liveable urban nodes, there is a remaining conflict between providing high quality public space and meeting the accessibility requirements for freight deliveries. The suburban areas have remained largely unaddressed with a much higher car usage as a consequence. Recent or expected urban growth processes are posing additional pressure to peri-central areas, which face the specific challenges of: • Becoming sufficiently appealing to avoid an unnecessary traffic flow towards to the city centre; • Providing sustainable and high quality mobility options to enable and encourage car independent lifestyles; and • Planning the urban future according to carbon neutral mobility principles. ECCENTRIC will demonstrate and test the potential and replicability of integrated and inclusive urban planning approaches, innovative policies and emerging technologies to reach sustainable urban mobility objectives. The solutions will be implemented in 5 living laboratory areas in the outskirts that face high population growth and an increasing pressure on the existing transport networks. As highlighted in the SUMPs of the ECCENTRIC cities, this action on a wider geographical scale than the city centre is needed in order to meet the targets of the Transport White Paper in terms of air quality, energy use and CO2 emissions, road casualties and wide uptake of clean vehicles. To reach CO2 free city logistics by 2030, ECCENTRIC will test clean vehicles and fuels, formulate new regulations and services and develop consolidation solutions in close partnerships with the private sector.

Keywords: sustainable urban mobility plans,mobility as a service,vulnerable groups,gender issues,non motorized transport,defuelization
Computation and analysis of statistical solutions of fluid flow (COMANFLO)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Switzerland
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-08-01
End date: 2023-07-31
Duration (months): 60.0
Total project cost (EUR): 1959323.0
EU funding (EUR): 1959323.0
Participants: 1
Project status: SIGNED

Entropy (admissible) weak solutions are widely considered to be the standard solution framework for hyperbolic systems of conservation laws and incompressible Euler equations. However, the lack of global existence results in several space dimensions, the recent demonstration of non-uniqueness of these solutions and computations showing the lack of convergence of state of the art numerical methods to them, have reinforced the need to seek alternative solution paradigms. Although one can show that numerical approximations of these nonlinear PDEs converge to measure-valued solutions i.e Young measures, these solutions are not unique and we need to constrain them further. Statistical solutions i.e, time-parametrized probability measures on spaces of integrable functions, are a promising framework in this regard as they can be characterized as a measure-valued solution that also contains information about all possible multi-point spatial correlations. So far, well-posedness of statistical solutions has been shown only in the case of scalar conservation laws. The main aim of the proposed project is to analyze statistical solutions of systems of conservation laws and incompressible Euler equations and to design efficient numerical approximations for them. We aim to prove global existence of statistical solutions in several space dimensions, by showing convergence of these numerical approximations, and to identify suitable additional admissibility criteria for statistical solutions that can ensure uniqueness. We will use these numerical methods to compute statistical quantities of interest and relate them to existing theories (and observations) for unstable and turbulent fluid flows. Successful completion of this project aims to establish statistical solutions as the appropriate solution paradigm for inviscid fluid flows, even for deterministic initial data, and will pave the way for applications to astrophysics, climate science and uncertainty quantification.

Keywords: uncertainty quantification,turbulence modeling,monte carlo algorithms,measure valued solutions
Robust End-To-End SPEAKER recognition based on deep learning and attention models (ETE SPEAKER)

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: Information Science and Engineering
Countries involved: Czechia
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-06-01
End date: 2021-01-31
Duration (months): 20.0
Total project cost (EUR): 120817.2
EU funding (EUR): 120817.2
Participants: 1
Project status: CLOSED

This project focuses on automatic speaker recognition (SID), the task of determining the identity of the speaker in a speech recording. Disentangling the speaker specific information from the rest of nuisance variability requires complex models. Deep neural networks (DNNs) have recently showed their potential for this, as the popular x-vector learnt by a DNN. Here, we aim for end-to-end SID where the system is optimized as a whole for the target task. Despite several attempts in this line of research, many aspects still remain unexplored or not explored thoroughly. We also propose to explore recurrent approaches, suitable for dealing with temporal signals, as well as different pooling methods to obtain a fixed-length representation from a variable length input sequence of speech features. Next, we want to explore different flavors of attention mechanisms, which make the DNN to focus on relevant parts of the input, providing a way to quantify how much evidence has been collected about the speaker identity and the uncertainty of the obtained representation, which is a critical issue when making (Bayesian) decisions in SID. Finally, some other approaches such as using the raw signal (instead of features) or other advances that might arise will be also explored for SID and related tasks. To achieve our goals, we will start from theory, implement the proposed approaches and test on public SID benchmarks such as NIST SREs. The outcomes are intended to benefit both scientific community and speech processing industry. The applicant Dr. Alicia Lozano-Diez is an excellent female researcher, who has done her Ph.D. at Audias (Universidad Autonoma de Madrid, Spain), a respected research lab. The host group Speech@FIT from Brno University of Technology (Czechia) has a top-class track on speech processing research. Thus, we expect the combination of both the researcher and the host to boost the researcher career and benefit the host group (and its industrial European partners).

Keywords: speaker recognition,deep neural networks,attention models,deep learning,language recognition,speech processing
Pure SPIN currents generated by Surface Acoustic Waves (SAW-SPIN)

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)
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

The ability of spin-polarized currents to interact with magnetic states has strongly impacted computation technologies, being exploited by read-heads and by writing–heads on spin-transfer-torque MRAM memories. Today, the most active field in spintronics aims at the generation of pure spin currents, which differ from spin-polarized currents in that they do not involve net flow of charge. Thus, Joule heat losses and Oersted fields are drastically cut down increasing the stability and reducing the energy consumption of electronic nano-devices. The two main strategies to generate spin currents are focused on (i) the spin-pumping effect arising from magnetization excitations in a ferromagnet, and (ii) the spin Seebeck effect. The latter is particularly interesting, since it involves temperature gradients to create the spin currents. Thus, any generation of heat dissipation –usually unwelcome in electronic devices– would be harnessed to produce useful spin currents by creating temperature gradients. The downside is that heat dissipation is a non-directional phenomenon, spreading slowly in all directions, which makes it unattractive for applications. Interestingly, surface acoustic waves (SAW) are fast and strongly directional strain waves that produce local and directional heat, which could eventually be used to generate spin currents through spin Seebeck effect. Moreover, SAWs can dynamically couple by strain to nano-magnets leading to spin excitations that could also be exploited to generate spin currents through spin pumping. Finally, SAWs constitutes an energy efficient technology well established in commercial applications. Therefore, by using SAWs the two strategies to generate spin currents can be contrived to cooperate in an energy-efficient way extremely appealing for the implementation of pure spin currents in commercial devices. In this project we propose to develop the proof of concept of a spintronic nano-device based on pure spin currents created by SAWs.

Keywords: spintronics,surface acoustic waves,nanomagnetism,thermoelectrics,electric control of magnetic states
High Temperature Solar-Heated Reactors for Industrial Production of Reactive Particulates (SOLPART)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Switzerland,Belgium,Belgium,France,France,United Kingdom,Morocco
Call: Developing the next generation technologies of renewable electricity and heating/cooling (H2020-LCE-2015-1-two-stage, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 4558687.5
EU funding (EUR): 4366562.5
Participants: 11
Project status: CLOSED

The main objective of the SOLPART project is to develop, at pilot scale, a high temperature (950°C) 24h/day solar process suitable for particle treatment in energy intensive industries (e.g. cement or lime industries). The project aims at supplying totally or partially the thermal energy requirement for CaCO3 calcination by high temperature solar heat thus reducing the life cycle environmental impacts of the process and increasing the attractiveness of renewable heating technologies in process industries. This will be achieved by the demonstration of a pilot scale solar reactor suitable for calcium carbonate decomposition (Calcination reaction: CaCO3 = CaO + CO2) and to simulate at prototype scale a 24h/day industrial process (TRL 4-5) thereby requiring a high-temperature transport and storage system. The system will operate at 950°C and will include a 30 kWth solar reactor producing 30 kg/h CaO and a 16h hot CaO storage. Life cycle environmental impacts of the solar-based solution in comparison with standard processes will be developed as well as economic evaluation. The project develops and merges three advanced technologies: high temperature solar reactor, transport of high-temperature solid materials and high temperature thermal storage. The synergy between these technologies lies in using the solar-treated particles as storage medium. The development of a such innovative technology for continuous particle processed by concentrated solar energy at about 950°C is unique in the world. Thanks to the solar unit integration in the industrial process (potentially combined with CO2 capture), this should result in the considerable reduction of the carbon footprint of the CO2 emitter industries and open a new market for renewable energies.

Keywords: high temperature solar industrial processes
PneumoSIP – a cost-effective solution for the rapid diagnostic of pneumonia (PneumoSIP)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Spain
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2014, 2014)
Start date: 2014-10-01
End date: 2015-02-28
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Despite significant advances in sanitation and medicine, infectious diseases still annually claim in excess of 15 million lives. Community acquired pneumonia (CAP) is a major cause of morbidity and mortality worldwide. Pneumonia is also the leading cause of death in children worldwide. It kills an estimated 1.6 million children under the age of five every year, about 25% of all pediatric deaths around the world – more than AIDS, malaria and tuberculosis combined . In the EU about 3.3 million cases are reported annually with hospitalization rates ranging from 20–50%, meaning that there are about 1 million hospital admissions for CAP per year in the EU . In addition, the growing resistance to antibiotic treatments (>10% in EU), makes pathogen identification and streamlining of antibiotic treatment even more important. AlphaSIP aims the development of a cost-effective solution for the rapid diagnostic of pneumonia. Infectious diseases represent the largest segment of the In-Vitro Molecular Diagnostics Market with nearly 50%. It is a big market that is growing fast: $ 5 B with a 14% CAGR. The Point-of-Care Molecular Diagnostics devices market for infectious diseases based on microfluidics has a size of approximately 900 M $ with an even higher growth rate . PneumoSIP product line is expected to become the main source of growth for the company in the next 5 years. The H2020 SME instrument phase I feasibility study has four main objectives: - To verify with final users (physicians and lab technicians) the features of the problem. - To validate and close the first specifications of the product with final users and customers. - To confirm with updated market studies the future Pn

Keywords: dapcr,streptococcus pneumoniae,pneumonia
PORTABLE AND FAST SURFACE PLASMON RESONANCE POINT-OF-CARE TEST FOR COVID-19 (CorDial-S)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Action type: Innovation actions
Countries involved: Ireland,Israel,Belgium,France,France,France,France
Call: Medical technologies, Digital tools and Artificial Intelligence (AI) analytics to improve surveillance and care at high Technology Readiness Levels (TRL) (H2020-SC1-PHE-CORONAVIRUS-2020-2-CNECT, 2020)
Start date: 2020-12-01
End date: 2022-03-31
Duration (months): 16.0
Total project cost (EUR): 2789722.29
EU funding (EUR): 2329023.55
Participants: 9
Project status: CLOSED

The ongoing pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections has led to more than 7.031.249 cases and 403.112 deaths globally as of June 8, 2020. Although most infections are self-limited, about 15% of infected adults develop severe pneumonia that requires treatment with supplemental oxygen and an additional 5% progress to critical illness with hypoxaemic respiratory failure, acute respiratory distress syndrome, and multiorgan failure that necessitates ventilatory support, often for several weeks. Worldwide, infections and death from SAR-CoV-2 continue during June with more than 110.000 new cases every day despite lockdown in Europe and oversees. What started as a temporary sanitary issue, has morphed into a more permanent and long-lasting pan epidemic outbreak. One efficient manner to limit COVID-19 spreading and an adequate mean of better managing the COVID-19 outbreak is through unrestrained availability of fast, efficient, accurate and cost-effective point-of-care tests (POCT). Here we propose C-POCT-S, a rapid (<30 min), sensitive (200 vps/mL), selective (SARS-CoV-2), and inexpensive ( < 20 Euros) solution to address this medical need. C-POCT-S is based on a combination of several technologies such as the use of COVID-19 specific nanobodies (VHH), magnetic nanoparticles with high magnetic strength and a VHH modified interfaces, all integrated in a a hand-held surface plasmon resonance (SPR) based POC test (C-POCT-S) for the screening of the presence/absence of the SARS-CoV-2 virus in nasal and salvia samples. The aim of this project is to complete product optimization, performance validation in a clinical setting and manufacturing quality control for C-POCT-S and completion of its technical file, to enable declaration of conformity and affixing of CE mark.

Keywords: surface plasmon resonance,portable,magnetic beads,nanobodies,sars cov,2 infection state sensing