Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Microbial fluxes of greenhouse gases (CO2 and CH4) in karst ecosystems: comprehensive assessment and biogeochemical modelling (MIFLUKE)

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: Environment and Geosciences
Countries involved: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-01
End date: 2021-08-31
Duration (months): 24.0
Total project cost (EUR): 178320.0
EU funding (EUR): 178320.0
Participants: 1
Project status: CLOSED

The assessment of carbon cycle in the Earth-climate system is one the highest challenge in science nowadays. It still remains some key knowledge gaps and uncertainties concerning the budgets of greenhouse gases (GHGs) at ecosystem scale and the key role of microbial communities. Karst ecosystems cover up to 25 % of the land surface and they are acting as rapid CH4 sink and as alternately CO2 source or sink. Pioneer results point to microbial action must be playing a crucial role in CO2 and CH4 uptake, fixation or production and maybe determining the strong variations of these major GHGs in karst ecosystems. MIFLUKE will elucidate, for the first time, the role of karst microbiota in the main GHGs -CO2 and CH4- content and fluxes in underground vadose atmospheres, as a key challenge to clarify the accurate effective contribution of karst ecosystems to the global carbon cycle. By applying an innovative and multidisciplinary combination of a broad suite of advanced tools and cutting-edge technologies from very different research areas -GHGs flux monitoring, isotopic geochemical tracing, biogeochemistry, metagenomics, etc.- a biogeochemical model of microbial processes will be developed. This project will combine the expertise of a multidisciplinary group of leading researchers on ecosystem functioning, GHGs and biogeochemistry modelling, with the extraordinary resources including analytical facilities and training support in PLECO (Univ. Antwerp, Belgium). The proposal represents an exceptional opportunity the candidate to acquire the essential skills that will open new career avenues and will convert her into a highly competitive European researcher. In turn, the fellow will bring specific expertise to PLECO that will open a new and promising research field. This proposal directly addresses the cross-cutting priority of climate action established by H2020 Work Programme and will reinforce the already large European competitiveness in GHGs research and management.

Keywords: greenhouse gases ghgs,carbon cycle,biogeochemistry,geomicrobiology,karst,ecosystem,microbial communities
Connecting cross-condition patterns of brain connectivity towards a common mechanism of mental conditions and prediction connectomics (CONNECT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 1999955.0
EU funding (EUR): 1999955.0
Participants: 1
Project status: SIGNED

The brain is one of the most complex living systems we know and has an enormous capacity to regulate our physiology, behaviour and cognition. 30% of the European population however has to deal with a mental challenge, ranging from depression to burnout to psychosis, etcetera. These conditions are traditionally seen as separate disorders, but there is growing evidence that many mental conditions share overlap in terms of their genetics and symptomatology. The brain mechanisms behind this cross-disorder overlap reflecting a common biological factor of mental conditions remains unknown. One of the key problems is that the current field is centralised around ‘single-condition examinations’, lacking specificity and selectivity of macroscale mechanisms, leaving us blind for which brain attributes play a common versus a unique role across and within mental conditions. The goal of CONNECT is to find an underlying shared biological mechanism of mental conditions: I hypothesise that the organizational principles of the healthy brain network form a common network system for shaping relationships across disorders. With CONNECT I want to map the total brain space of cross-disease relationships to disentangle shared and specific mechanisms of cognitive function and disease disfunction. I want to build (WP0) a large multi-disorder MRI database to compare (WP1) brain fingerprints across a wide range of conditions. I will (WP2) develop a mechanistic framework to fundamentally describe cross- condition interactions and model the shared mechanisms of involvement of brain networks in brain function. This model will be leveraged into (WP2/3) a comprehensive connection catalog that systematically maps for all circuitry their common vs unique role in cognitive functions and their subsequent involvement in the spectrum of mental conditions. Disentangling disease-common from disease-specific effects, I will use Machine Learning to pave the way for (WP4) ‘prediction connectomics’.

Keywords: neuroimaging,systems biology,network neuroscience,complexity
POP SCIENCE (POP SCIENCE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European researchers' Night
Action type: Marie Skłodowska-Curie actions
Countries involved: Italy,Switzerland,France
Call: European Researchers' Night (NIGHT) (H2020-MSCA-NIGHT-2014, 2014)
Start date: 2014-05-01
End date: 2015-12-31
Duration (months): 20.0
Total project cost (EUR): 968312.5
EU funding (EUR): 210000.0
Participants: 3
Project status: CLOSED

Our objective is to reach out to a large majority of the public who have not shown interest in science so far. We want to make them aware of the major breakthroughs in physics, astronomy and related applications of which they have heard from media worldwide, without understanding the profound implications on general knowledge and their spin offs on technology, as well celebrating the protagonists of these breakthroughs: researchers. We have chosen icons from modern culture – an innovative combination of poetry, art, theatre and consumers' gadgets (i.e. pop culture) – as communication vehicles, and a downtown trade center (including Geneva's FNAC) as a the venue. We will partner with a global consumer brand to support a pervasive awareness campaign. Poems inspired by recent discoveries in physics and astronomy, produced by famous poets and university students (selected through an international contest) from at least 6 European countries will be presented on Researchers Night. QR codes of the winning poems will be distributed on the night and subsequently in the subways of European capitals. The poets will have previously attended special seminars at CERN and other scientific laboratories about the new findings and thus be able to translate the scientific message in a concise and accessible language. Augmented reality, robots, QR-bar codes and explanatory video games,will be the highlight of a special tech section and a kids' corner, featuring CERN’s Marie Curie fellows, demonstrating these technologies and whom the public will "speed-date".Data used every day by the researchers to study the deepest secrets of nature will be transformed in visual art for interior decoration and become melodies played live by musicians and downloadable as smart phone tunes. At the POP- science café, the menu features liquid nitrogen ice-cream and a theatre show on quantum vacuum , where researchers and artists will be on stage, and talk to the public moderated by journalists.

Keywords: popular science,particle physics,astrophysics,technological applications,music,poetry theatre,societal impact
TWINning the BRAIN with machine learning for neuro-muscular efficiency (TwinBrain)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Germany,Italy,Switzerland,Slovenia
Call: Twinning (H2020-WIDESPREAD-2020-5, 2020)
Start date: 2020-11-01
End date: 2023-10-31
Duration (months): 36.0
Total project cost (EUR): 899735.0
EU funding (EUR): 899735.0
Participants: 4
Project status: SIGNED

The investigation of brain dynamics in most routine movements such as walking, balancing or learning new motor-cognitive tasks remains a major challenge for neuroscience. An integrative approach to investigating brain and movement dynamics was recently developed under the term MoBI: Mobile Brain/Body Imaging. This technique is based on mobile electroencephalography (EEG) synchronized to motion capture to better understand the relationship between brain dynamics, movement, and cognition in more realistic (everyday) environments. Development and optimization of this technique will provide new analytical methods for high-dimensional MoBI data in ecologically valid contexts, work with data that is not yet standard in the field of human neuroscience, and lead EEG research out of the laboratory environment into everyday situations, which become more challenging for the symptomatic population. The overall objective of TwinBrain project is to improve the scientific and technological capacity of the country with low R&I performance (Slovenia) by twinning it with three leading international research institutions (from Germany, Switzerland, and Italy). Leading researchers in the field of neuro-muscular control, MoBI and the neuroscientific investigation of embodied cognitive processes as well as machine learning will form a network of excellence that will facilitate training and early-stage research growth through the exchange of best practices, workshops and summer schools. TwinBrain will also provide short term on-site trainings, expert visits and exchanges, as well as start working on future joint research proposals and PhD projects among partners and beyond to be continued after the completion of the project. These will lead to strengthening of long-term infrastructure capacities and facilitate the development of the proposed research area and related careers.

Keywords: neuroscience,kinesiology,movement science,brain imaging,large data analysis,cognition
SOUTHINNOGATE (SOUTHINNOGATE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Türkiye,Türkiye,Türkiye,Türkiye
Call: H2020 ENTREPRISE EUROPE NETWORK SGA4 2020-2021 (H2020-EEN-SGA4-2020-2021, 2019)
Start date: 2020-01-01
End date: 2021-12-31
Duration (months): 24.0
Total project cost (EUR): 120345.0
EU funding (EUR): 120345.0
Participants: 6
Project status: CLOSED

The overall objective of the Project is to boost a single, coherent and collaborative Single Market that will be consisted of the actors of European Union and third countries at regional level, aiming the competitiveness, integration, innovation and internationalism of the SMEs in the regions of Europe. The acceleration of globalization, aided by the rapid development in information and communication technologies, improved access facilities and innovation factors present opportunities and challenges to small and medium sized enterprises. Participation into a Network and being the part of a single market can give SMEs the opportunity to attain financial stability, increase productivity and opportunity to expand their markets. Cooperation within a network of upstream and downstream partners can enhance a firm’s status, information flows and learning possibilities, introduce new business practices and more advanced technology. On the other hand, SMEs’ involvement in a Network demands greater managerial and financial resources, the ability to meet international standards and the protection of in house intellectual property. SMEs need support to meet these challenges. European Enterprise Network will open a great path to SMEs in the region in support of business competitiveness and integration based on “nowrong door” concept. Within the framework of EEN Project and at Horizon 2020 the project consortium will aim to result that the majority of regional SME’s gain momentum from the point where there have low value internal dynamics to the point where perform with added value international dynamics.

Keywords: cosme,horizon
Applying High Power Ultrasound for industrial ultrasound-processing of viscous products (ViscoUS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Spain
Call: European SME innovation Associate - pilot (H2020-INNOSUP-2020-02, 2020)
Start date: 2021-01-01
End date: 2022-02-28
Duration (months): 14.0
Total project cost (EUR): 110571.43
EU funding (EUR): 77400.0
Participants: 1
Project status: CLOSED

Honey crystallization is a natural phenomenon by which honey turns from liquid to a semi-solid state, becoming cloud, thick and grainy. Generally, consumers prefer liquid honey. They do not buy crystallized honey jars in supermarkets. So, if honey crystallizes within the shops before being sold, the retailers has the right to return it to the honey packer, with all associated costs. To avoid these reimbursements, honey packers are forced to pasteurize honey destined to retail. During pasteurization, raw honey is heated at 75-80ºC for 1-3 minutes to melt the sugar crystals, which act as nuclei starting points for crystallization. Unfortunately, such elevated temperature during the treatment causes serious degradation in most nutritive and beneficial substances that have categorized honey as a healthy medicinal food throughout the centuries. The result is that the clear liquid honey we are consuming is little different from a mix of sugars syrup. SonicatSystems is a technology-based company that have developed LIQUAM, a patented technology based on High Power Ultrasound for the respectful honey processing. With LIQUAM is possible to reduce the initial content of sugar crystals up to pasteurization levels, whilst retaining all nutrients contained in raw honey. However, to commercialize it, we need to increase their effiency and reduce manufacturing costs. Our innovative approach is to design and manufacture optimized ultrasound transducers well suited for highly viscous products such as honey due to commercial transducers are only optimized for applications involving water or low viscosity products. To this end, we need to incorporate an expert in ultrasound and vibro-acoustics technology. Our innovation strategy goes beyond. We want to use the knowledge acquired to apply High Power Ultrasound at industrial level to other highly viscous products such as chocolate, ice creams, vegetable purees or sauces.

Keywords: honey crystallization,high power ultrasound,ultrasound technology,piezoelectric transducers,cavitation,honey liquid,crystallization rate
Innovative Particle Emissions Reduction device for internal combustion engines, facilitating compliance with the present and future automotive particle emissions regulations. (PemredTech)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Israel
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-06-01
End date: 2016-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

IC engines emit large numbers of particles which are dangerous to humans. Particle traps are used to reduce such emissions, although they increase backpressure and nanoparticles emissions. Particles number (PN) emissions were only recently regulated in Europe, and are yet to be regulated in most of other countries. Our innovative Particle Agglomerating Inducer (PAI) reduces the PN and improves their trapping efficiency with less side-effects. Based on over 10 years of research, it is a tailored design pipe that induces agglomeration by changing the exhaust flow regimes; it also enables to reduce after-treatment system back-pressure. We will partner with leading EU Particle Filter manufacturers to offer a superior joint solution. Our prospects are OEMs and in-use truck/bus fleets. China for example, is confronted with millions of EURO-II trucks that have circulation restrictions, which can be removed by retrofitting particle traps. An early test of the operating conditions concluded that while they are incompatible with conventional DPF retrofits, our solution is compatible and very effective. Our retrofit solution combines the PAI with a low-backpressure Particle Oxidation Catalyst (POC). This new application enhances existing technologies with innovation, increases the efficiency of the POC and reduces the emissions of both particulate mass and number below the required limits. Its impact is expected to exceed by far the China Retrofitting Market (our initial test and the world’s largest), and open up the global automotive OEM market. Our main objectives for Phase 1 are to prospect the markets that need our technology for emissions reduction projects and confirm the feasibility of a profitable business. This would include market studies, partner relationship development, workshops and customer qualification. Phase 2 will help us perform pilot projects together with the customers that will lead to industrial prototypes and readiness for mass production and sales.

Keywords: automotive,particle emissions,nanoparticles,aftertreatment,agglomeration,euro 6,retrofitting engines,emissions reduction,diesel,sulphur,ultrafine particles
Quantum technology with carbon nanotUBEs (QUBE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: France
Call: ERC Proof of Concept Grant (ERC-2019-PoC, 2019)
Start date: 2019-08-01
End date: 2021-01-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 2
Project status: CLOSED

The goal of the “Quantum technology with carbon nanotUBEs”, QUBE, project is to provide a commercial solution enabling an easy manipulation of single wall carbon nanotubes, structurally characterized for quantum technologies. This solution will be fully adapted for being integrated into quantum devices. The project will aim to rationalize the production of high quality, “ready to use”, single wall carbon nanotubes and to create of a start-up company whithin the emerging quantum industry sector in Europe.

Keywords: carbon nanotubes,quantum technology,nanoassembly techniques
InnovAtive automatic battERy pOwered WASHing robot for the aviation industry – Aerowash II (Aerowash II)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Sweden
Call: Small business innovation research for Transport (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Nordic Ground Support Equipment AB (NGSE) plans to install 5 to 10 demonstration units of the world´s first fully automatic, battery powered aircraft washing robot, at 3 to 5 different airports within the EU (i.e. operational environment). Compared to state of the art, the robot will decrease washing time by approx. 40-60%. The robot will also decrease water and chemical consumption by approx. 20-30%. This will have a positive impact on EU aviation industry since it will allow them to lower the down time of airplanes and decrease congestion at the airports. The core objective of the feasibility study (“phase 1”) is to select three to five airport locations in the EU, (e.g. main hubs like Charles De Gaulle Paris France, Heathrow London UK, Frankfurt Airport German, Madrid-Barajas Madrid Spain and Kastrup Copenhagen Denmark) to analyse the pre-requisites/conditions for a successful implementation of the automatic washing robot on the European market. The feasibility study will include both technical/practical and commercial aspects in order to secure a successful deployment and implementation of the innovative washing system. By implementing NGSE´s fully automatic airplane washing robot a normal airline can save around 37 000 man-hours annually and 5-7 million litres of water. In addition the robot is battery powered (compared to state of the art, semi-automatic systems which are in general diesel powered) which means it can be used at any airport location, indoors or outdoors, hence it is much safer, greener and more user-friendly than any other alternative available today. The expected growth in passenger aircrafts globally requires aircraft maintenance routines to become more efficient, as airports are constantly getting more and more overcrowded. With a global market size of several thousand of the world´s first fully automatic washing robot, with a total value of approx. 1-1.5 Billion EUR, the potential business opportunity for NGSE is clear.

Keywords: washing robot,aerowash,aviation industry,fully automatic