Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
constRuctive mEtabolic processes For materiaL flOWs in urban and peri-urban environments across Europe (REFLOW)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Protection of the environment, sustainable management of natural resources, water , biodiversity and ecosystems
Action type: Innovation actions
Countries involved: Germany,Italy,Germany,Spain,Romania,Finland,Greece,France,Netherlands,Netherlands,Denmark,United Kingdom,Denmark
Call: Demonstrating systemic urban development for circular and regenerative cities (H2020-SC5-2018-2, 2018)
Start date: 2019-06-01
End date: 2022-05-31
Duration (months): 36.0
Total project cost (EUR): 10340626.54
EU funding (EUR): 9794935.0
Participants: 29
Project status: CLOSED

The vision of REFLOW is to develop circular and regenerative cities through the re-localisation of production and the re-configuration of material flows at different scales. More specifically, it will use Fab Labs and makerspaces as catalysers of a systemic change in urban and peri-urban environments, which enable, visualize and regulate “four freedoms”: free movement of materials, people, (technological) knowledge and commons, in order to reduce materials consumption, maximize multifunctional use of (public) spaces and envisage regenerative practices. Concretely, REFLOW aims at providing realistic best practices aligning market and government needs in order to create favourable conditions for the public and private sector to adopt circular principles. In order to provide critical examples of ways in which cities can adopt a CE model and reach the 2030 Sustainable Development Goals, REFLOW will create new CE business models (Distributed Design Market model, On-Demand System, Corporate Hacking and Corporate Pyramid) within 6 pilot cities (Amsterdam, Berlin, Milan, Paris, Vejle and Cluj-Napoca) and assess their social, environmental and economic impact. The project will make use of blockchain technologies in order to incentivise the circular practices in local ecosystems and data visualisation tools to enable continuous monitoring and optimisation of “urban metabolic” processes and rapid interventions management. Networks of sensors, urban computing and geo-localisation will capture data ensuring accuracy, integrity and interoperability of relevant data infrastructures, while data visualisation and standard templates will be available for effective communication, public consultation, and exchange of experiences.

Keywords: circular metapolis,new business models,governance,decision support,incentive mechanisms,waste,packaging,plastic,water,wood,agrifood,textile,public spaces,blockchain,open data
The Revolutionary Tooth Replacement System for Minimally Invasive Immediate Dental Implants (REPLICATE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-05-01
End date: 2018-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Losing a tooth is a common issue nowadays- 69% of the people at the age of 35-40 have lost at least one tooth in their life- which might imply both physical and psychological impacts for the person losing it. In order to minimise these, there are several “traditional” dental techniques that can be used for tooth replacement, such as dental bridges and implants. However, both tCurrently, best practices in dentistry for single-tooth placement are the use of dental bridges and dental implants. However, both traditional solutions have their disadvantages when it comes to single tooth replacement: Three-unit dental bridges require the use of the teeth adjacent to the one missing and crowned with the consequent missing tooth structure. On the other hand, traditional screw-type implants cannot be always placed in the best position for the future prosthesis because of the limitations of the remaining available bone. They need expensive prosthetic abutments and a surgical procedure for its placement and due to discomfort and fear they are very often rejected by patients. Our solution, The new REPLICATEline offers patients a minimally invasive, immediate aesthetic solution, reducing postoperative pain and patients´ fear to implants, helping to set a new standard for treatment. Its design is fully customized to the patient allowing a general dentist to replace a single tooth in just one appointment, without having to drill into the jawbone. The dentist just extracts the tooth, inserts the REPLICATE Diamond Ceramic Tooth into the bone socket and bonds the Temporary Protective Crown to the adjacent teeth providing protection and stability during the healing process. This reduces time, cost, risk and patient inconvenience associated with traditional dental implants. This line will also have an economic impact for our company: Early forecasts predict a boost of sales to 40.000 units in the first 3 years after commercialization, resulting in €19,4 Million of accumulated profits.

Keywords: diamond ceramic tooth,dental implant,minimally invasive
BioENErgy from biomass and bio-oil Fermentation using mIcrobial Communities to produce Chemicals and Enzymes (BENEFICCE)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-10-01
End date: 2023-05-30
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: SIGNED

Although many efforts have been dedicated to the research and development of sustainable biorefineries, there are still some gaps to cover, especially to make chemicals production energetically efficient and rentable. The proposed route will combine a biotechnological and a thermochemical process, departing from low-cost raw materials like lignocellulosic biomass and environmental microbial communities to produce valuable chemicals. Bioplastics, enzymes, and lipids will be produced in a competitive biorefinery process. The project will be divided into two approaches, Approach 1 will study the fermentation of bio-oil, obtained from pyrolysis of waste biomass, to produce bioplastics, using microbial communities from contaminated environments. The scientific challenge (SC1) is to find a microbial community that can metabolize the chemicals present in bio-oil (including the toxic compounds) and produces bioplastics in one pot. Approach 2 will study the fermentation of lignocellulosic biomass to produce fatty acids and enzymes that degrade the lignocellulose. The scientific challenge (SC2) is to find a microbial community that can degrade the lignocellulosic material without any pre-treatment, and that can metabolize the toxic chemicals produced during biomass fermentation. BENEFICCE project will develop new technology for the sustainable production of bioplastics, lipids, and enzymes. The resulting biorefinery process aims to be competitive by using low-cost raw material and having fewer process steps than other existent technologies. The training-through-research that the fellow will receive during the project, will result in an experienced research leader that will continue developing clean technologies in biorefinery and bioenergy, contributing to two of the 17 Sustainable Development Goals of the United Nations: Sustainable Production and Combat Climate Change.

Keywords: microcbial communities,bio oil,lignocellulosic biomass,bioplastics,lipids,enzymes
ENGINEERING MICROBIAL-BIOSOLIDS COUPLED INTERFACE FOR SUSTAINALBE GEOENVIRONMENT IN EXTREME WEATHER (BioGeoInterface)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-02-10
End date: 2024-02-09
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: SIGNED

Climatic influences various natural phenomena and affect the overall environmental synergy. Precipitation pattern and temperature are among key phenomena that influence the soils and inturn life. Extended periods of droughts leads to loss of nutrition in soils and increases desertification of land. On the other hand, the increase in temperature (natural or anthropogenic activities) that lead to rise in temperatures in the geoenvironment will lead to unstable ground conditions. This situation is more detrimental in the presence of organic matter/organic soils and has been poorly understood. This study proposes to develop a novel technology to rejuvenate derelict soils by utilising native soil microorganisms and stimulating them with biowaste (such as biosolids), with an aim to commercialise the technology. These studies will require screening of the stimulants and the native soil microbes (consortium) that will be amended with a typical coarse-grained and fine-grained soil. Subsequently the efficacy of biomodification will be assessed based on several physical, and biochemical parameters relating to soil and plants. Further, through this proposed study a engineering behaviour of biomodified soils (organic soils) under elevated temperatures (ThermoHydroMechanical behaviour) will be carried out. This will a major step in this direction as till date the conventional practise has been to understand THM behaviour of soils without biogenic function. These efforts will be followed by developing a mathematical framework that can predict the holistic behaviour of soils under elevated temp. This study will be carried out by Dr.Shashank Bettadapura Subramanyam(ER), Prof.Xiaohui Chen(from UnivLeeds) will be the PI. This collaboration will significantly influence ER's competences in pursuing his interests and achieving career goals and enable a 2way transfer of knowledge between the ER & PI related to biogeotechnics THMbehaviour &numerical aspect in environmental geotechnics.

Keywords: biogeotechnics,soil microbial interactions,soil rejuvenation,thm behaviour
dSense – Self adapting, cost efficient method for detecting context of a mobile device and a mobile device with a context detection module (dSense)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Poland
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-05-01
End date: 2016-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The project is going to launch in existing mobile devices a software system and/or module for a context detection to ensure environmentally and costly efficient required service’s results for users. The R&D Department of Binartech has developed basic substantial assumptions of these method,it is protected by international patent in Poland, Europe (Germany, France,UK),Japan, U.S.A. India (patent pending). The disruptive solution focuses on more effective,faster and apt fit of mobile services to user's needs, which is possible thanks to a device being aware of a broader context in which it is used atm (eg. when driving a car or walking). Our solutions provides much better compromise between accuracy and energy usage. dSense is distinctive from available solutions because of its self-adapting skills, which are crucial due to large variety of devices and environments people use their mobile phones. This means that even for ca. 5% user of mobile devices having every-day problems with accuracy of context awareness of mobile applications, it will be easy to get self-learning correct results in a short period of time using low energy-consuming sensors. We have identified three areas of benefits according to understanding of the user, i.e.: final users of mobile devices,application developers/investors, and mobile devices producers which mount the module in their devices.Added values are:operating time of the battery (better up to 60%), automatic adaptation of the context detection system to all applications being installed to the mobile devices, accuracy of applications’ results and speed of delivered applications’ results. Feasibility study will enable us to verify the technological feasibility and economic viability of launching dSense on EU’s market, which will contribute to solving the aforementioned problems.PHASE I is the beginning and we believe it will lead to PHASE II.This will enable us to identify resources needed for commercial implementation of our technology.

Keywords: mobile device,software system,software module,software for a context detection,context detection,application development,mobile application
Functional Analysis of Host Genetic Variants: Biomarker Selection Towards Improving Female Subfertility Diagnosis and Treatment (HOST-SELECT)

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: Life Sciences
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-07-01
End date: 2019-06-30
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

Roughly 15% of couples trying to conceive suffer from subfertility. One of its leading causes is developed pathology in woman’s fallopian tubes (tubal pathology or TP). Persistent infection with Chlamydia trachomatis (CT) is the single most common cause of TP. Women with a certain genetic makeup are more likely to develop TP after CT infection. I have so far identified 8 host genes and 13 genetic variants associated with CT infection and TP. Their exact function is, however, not yet elucidated. In this project, I will research the effect of found host genetic factors on CT infection and TP, by analysing their function in a human fallopian tube organoid model. This model optimally simulates in vivo conditions in the tubes. The host institution offers the technology and expertise for conducting such research. The analysis will be achieved via RNA interference gene-silencing technology, successfully applied by the host group in their CT research for years. I will then introduce targeted mutations via CRISPR/Cas9 gene-editing assay and study the effect on the course of the infection. Lastly, I will determine the network of involved gene pathways in order to explain the underlying pathogenesis. This will be the first ever functional analysis of host factors associated with CT infection and TP in an organoid. The analyses will require learning and applying cutting-edge techniques (RNA interference and CRISPR/Cas9). Also, it will be the first delivery of specific, targeted mutations into a CT-infected organoid and first such study of their effect on developing pathologies. Achieving these objectives will facilitate the development of a novel diagnostic assay in order to address an existing health need - improving the currently suboptimal diagnosis of women at risk of CT-associated TP and reducing referrals to invasive, burdening and costly surgical examinations. I have also developed a detailed plan for disseminating the findings to experts and general public.

Keywords: infection,chlamydia,rnai,crispr,host genetics,organoid
Globular clusters as living fossils of the past of galaxies (ArcheoDyn)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Austria,Germany
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-09-01
End date: 2023-02-28
Duration (months): 66.0
Total project cost (EUR): 1999250.0
EU funding (EUR): 1542820.0
Participants: 2
Project status: CLOSED

Globular clusters (GCs) are enigmatic objects that hide a wealth of information. They are the living fossils of the history of their native galaxies and the record keepers of the violent events that made them change their domicile. This proposal aims to mine GCs as living fossils of galaxy evolution to address fundamental questions in astrophysics: (1) Do satellite galaxies merge as predicted by the hierarchical build-up of galaxies? (2) Which are the seeds of supermassive black holes in the centres of galaxies? (3) How did star formation originate in the earliest phases of galaxy formation? To answer these questions, novel population-dependent dynamical modelling techniques are required, whose development the PI has led over the past years. This uniquely positions him to take full advantage of the emerging wealth of chemical and kinematical data on GCs. Following the tidal disruption of satellite galaxies, their dense GCs, and maybe even their nuclei, are left as the most visible remnants in the main galaxy. The hierarchical build-up of their new host galaxy can thus be unearthed by recovering the GCs’ orbits. However, currently it is unclear which of the GCs are accretion survivors. Actually, the existence of a central intermediate mass black hole (IMBH) or of multiple stellar populations in GCs might tell which ones are accreted. At the same time, detection of IMBHs is important as they are predicted seeds for supermassive black holes in galaxies; while the multiple stellar populations in GCs are vital witnesses to the extreme modes of star formation in the early Universe. However, for every putative dynamical IMBH detection so far there is a corresponding non-detection; also the origin of multiple stellar populations in GCs still lacks any uncontrived explanation. The synergy of novel techniques and exquisite data proposed here promises a breakthrough in this emerging field of dynamical archeology with GCs as living fossils of the past of galaxies.

Keywords: dynamics of stellar systems,globular clusters
Astrophysical constraints on the identity of the dark matter (DMIDAS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-10-01
End date: 2024-09-30
Duration (months): 72.0
Total project cost (EUR): 2493439.0
EU funding (EUR): 2493439.0
Participants: 1
Project status: SIGNED

The identity of the dark matter is a fundamental problem in Physics whose solution will have major implications for cosmology, astronomy and particle physics. There is compelling evidence that the dark matter consists of elementary particles created shortly after the Big Bang, but searches for them in the laboratory and from astrophysical sources have proved inconclusive. The currently favoured candidate is cold dark matter or CDM. This forms the basis of the standard model of cosmology, LCDM, whose predictions, dating back to the 1980s, turned out to agree remarkably well with observations covering a staggering range of epochs and scales, from the temperature structure of the cosmic microwave background radiation to the large-scale pattern of galaxy clustering. Yet, this agreement is not exclusive to CDM: models based on other types of particles -- warm, self-interacting or asymmetric, for example -- agree equally well with these data but differ on scales smaller than individual bright galaxies. These are the scales targeted in this application in which we propose a comprehensive investigation of small-scale structure, with the aim of testing dark matter candidates, by focusing on three key astrophysical diagnostics: strong gravitational lensing, dwarf galaxies and stellar halos. We propose a joint theoretical and observational programme exploiting three major developments: SWIFT, a new code developed at Durham that will enable cosmological hydrodynamics simulations an order of magnitude larger than is possible today; SuperBIT, an innovative balloon-borne wide-field imaging telescope that will collect gravitational lensing data for hundreds of galaxy clusters; and DESI, a spectro-photometric survey that will acquire 10 times more spectra of stars in the Milky Way than previous surveys. The particle models that we will consider have predictive power and are disprovable. Our programme has the potential to rule out many dark matter particle candidates, including CDM.

Keywords: particle physics candidates for the dark matter,gravitational lensing,dwarf galaxies
Regulatory mechanisms controlling a new mechanical Epithelial to Mesenchymal Transition in zebrafish (MechTransition)

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: Life Sciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-09-01
End date: 2023-01-04
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

While cancer biologists have long assumed that developmental Epithelial to Mesenchymal Transitions (EMT) transcriptional programs also control cancer metastasis, our lab has recently found that cancer EMT instead uses a mechanical-based two-step process. Typically, epithelial cells fated to die get extruded apically into the lumen. However, oncogenic mutations that drive metastatic cancers hijack this process, causing cells to either form masses or to extrude basally back into the tissue at separate sites. Basal extrusion causes transformed cells to not only invade but also to lose their entire apical membranes, including their E-cadherins, which are critical to epithelial identity. Later, invading cells migrate using a stable-bleb type motility typical of cells in confined spaces and then transdifferentiate into a variety of different cell types. While our lab has established that basal extrusion causes invasion and loss of epithelial identity, it is unclear what later causes cells to become mesenchymal. Using the transparent zebrafish embryo, I will investigate the mechanisms that promote the second step of EMT by answering the following questions: 1) Does mechanical stress following basal extrusion cause trans-differentiation of invading cells? 2) What programs promote EMT of transformed cells? 3) What environments allow invading cells to colonise specific tissues? Our new EMT model represents a paradigm shift in our understanding of how tumour cells initiate metastasis, survive in different environments, and become distinct cell types. Thus, addressing these aims could impact our ability to finally treat metastatic disease.

Keywords: cell mechanics,epithelial to mesenchymal transition emt,cell extrusion,zebrafish,mechanotransduction,quantitative microscopy