Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Predicting flame acceleration and deflagration to detonation transition in industrial scale explosions incorporating the turbulence effects (TurbDDT)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-08-27
End date: 2021-08-26
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Statistics show that fires and explosions are the top cause of Business Interruption loss. Despite increasingly stringent safety measures, explosions continue to occur with higher frequency and consequences especially when Deflagration to Detonation Transition (DDT) occurs. Flame acceleration (FA) and DDT involve complex physical and chemical processes. Current provisions for explosion safety design are based on mechanisms for explosives and insufficient to interpret the complex nature of gas explosions. Their use in safety design is problematic. DNS predictions have shown the importance of TF on FA and DDT in uniform mixtures. Such influences are likely to be even more profound in mixtures with concentration gradients and when obstacles are present. There lacks experimental and numerical investigations to shade light on this. Robust and efficient predictive techniques which can capture global safety features associated with FA and DDT as well as TF are also missing. TurbDDT aims to fill these knowledge gaps. It aims to predict FA and DDT in industrial scale explosions incorporating the turbulence effects. The specific scientific objectives include: 1. To gain insight of TF on FA and DDT in smooth channels/tubes with uniform mixtures and mixtures with concentration gradients using DNS; 2. To repeat the above in channels/tubes with obstacles; 3. To assess the capability of the compressible linear eddy model in large eddy simulations (CLEM-LES) for medium scale simulations and compressible reactive solver (CRS) for large scales; 4. To conduct large scale FA and DDT of practical scales and assess the resulting differences in the predicted likelihood of DDT and explosion impact on structures when the more efficient CRS approach is used; and to draw conclusions and guidelines on large scale FA and DDT predictions. 5. Foster a two-way transfer of knowledge between the ER and host; and 6. Disseminate and communicate TurbDDT results to wider audiences.

Keywords: combustion,flame acceleration,deflagration to detonation transition,direct numerical simulation,large eddy simulation,mixtures with concentration gradients,turbulent fluctuations
How sociocultural forces shape the emotion lexicon in hunter-gatherer languages (HG-Emo)

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: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-06-15
End date: 2020-06-14
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Although human emotions have a common biological basis, different cultures elaborate different aspects of their emotional world. This variation is reflected in the emotion lexicon, which, despite being well-studied among industrialized societies, remains under-researched in smaller cultural niches. This project focuses on emotion among hunter-gatherers, a rare type of society today, but a dominant one for 95% of human existence. Hosted by the UCL Anthropology Department—a world leader in hunter-gatherer studies—I will investigate the emotion lexicon in two hunter-gatherer languages to uncover the relationship between the semantic domain of emotion and sociocultural characteristics associated with different settlement patterns (mobile vs. sedentary), e.g., group size and social structure. Using methods from linguistics, psycholinguistics, and cultural anthropology, I will document the emotion lexicon among the closely related mobile Maniq and the sedentary Kentaq (Aslian, Austroasiatic) and examine it against the sociocultural background of each group. Via systematic comparison, I will identify forces shaping the emotion lexicon in each language, ultimately revealing how emotion language may coevolve with sociocultural change triggered by sedentarization. The findings will speak to the fundamental question of how meaning is shaped in our languages and will be of value to semantic typology, hunter-gatherer studies, and psychology.

Keywords: semantic typology,emotion lexicon,hunter gatherer,residential mobility,aslian languages
In situ manufactured carbon-thermoplast curved stiffened panel (INSCAPE)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Austria,Germany,Germany,Portugal
Call: Curved stiffened panels in thermoplastics by preindustrial ISC process (H2020-CS2-CFP01-2014-01, 2014)
Start date: 2016-01-01
End date: 2018-05-31
Duration (months): 29.0
Total project cost (EUR): 513337.5
EU funding (EUR): 424950.01
Participants: 4
Project status: CLOSED

INSCAPE (In situ manufactured carbon-thermoplast curved stiffened panel) main objective is to enhance the automated thermoplastic fiber placement process and machine to manufacture an in situ consolidated double-curved structure including in situ joining of stiffener and skin laminate. Taking the state-of-the-art into consideration, the proposed project will focus on using and enhancing the possibilities and advantages of automated thermoplastic Automated Fiber Placement (TP AFP) to create an efficient process to manufacture complex carbon fiber reinforced thermoplastic aerospace structures. The sensitivity of the process leads to a mandatory 100% automation for reproducible, industrial production.

Keywords: in situ consolidated,thermoplastics,stiffend panel,automated fiber placement
Discovery of Bcl-3 inhibitors as Potential Chemopreventive Agent for skin cancer (Bcl-Inhib)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Sweden
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2015-11-01
End date: 2017-04-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Melanoma is one of the fastest growing cancers worldwide, especially in regions with a high number of Caucasians such as Europe. Currently, 100,000 diagnoses and 5,000 deaths from melanoma are registered in Europe every year. This increase in melanoma incidence is a serious health problem and poses an economic as well as societal concern. The survival in patients with malignant melanoma is very poor with a five year survival rate of about 10%. Indeed, the current clinical therapies against malignant and metastatic melanoma have a relatively low efficacy and are associated with significant adverse events. Therefore there is an urgent need for development of novel drugs that can cure or prolong the survival of these patients. Molecular targeted therapy by using a drug that reduces the growth and spread of cancer cells via inhibition of a specific protein is a foundation stone of precision medicine and treatment. We have identified a lead molecule that inhibits proliferation and metastasis of human malignant melanoma cells. The present proof-of-concept proposal aims at lead optimization, preclinical verification, IPR positioning, market assessment, and other commercial activities including go to market strategy and dialogue with potential collaborators. This will make a unique medical and commercial opportunity to develop a highly specific drug against a disease in urgent need of new treatment options.

Keywords: malignant melanoma,small molecule,anti cancer drug
EW-Shopp - Supporting Event and Weather-based Data Analytics and Marketing along the Shopper Journey (EW-Shopp)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: Big Data PPP (cPPP)
Countries involved: Italy,Italy,Spain,Ireland,Slovenia,Norway,United Kingdom
Call: Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation (H2020-ICT-2016-1, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 3553875.0
EU funding (EUR): 2902875.0
Participants: 13
Project status: CLOSED

In this project we aim at supporting companies operating in the fragmented European ecosystem of the eCommerce, Retail and Marketing industries to increase their efficiency and competitiveness by leveraging deep customer insights that are too challenging for them to obtain today. Improved insights will result from the analysis of large amount of data, acquired from different sources and sectors, and in multiple languages. The integration of consumer and market data collected by different business partners will ensure to cover customer interactions and activities across different channels, providing insights on rich customer journeys. These integrated data will be further enriched with information about weather and events, two crucial factors impacting on consumer choices. By disruptively increasing the analytical power coming from the integration of cross-sectorial and cross-language data sources and new data sources companies will deploy real-time responsive services for digital marketing, reporting-style services for market research, and advanced data and resource management services for Retail & eCommerce and their technology providers. As of today, developing these services is too costly or nearly impossible for a large number of European companies. Even when these companies have developed excellent skills in analyzing data in their sector, they lack knowledge, technology and resources that are needed to integrate and analyze large and divers data in a timely manner. Enriching business data with weather data is difficult and costly. Using event data to obtain precise customer and market insights is even more challenging because of the difficulty of collecting and accessing data about events at a large scale. Language barriers, lack of agreed models and shared systems of identifiers to interlink data make these data integration tasks even only more challenging.

Keywords: data analytics,business intelligence,digital marketing
High Performance Soft-tissue Navigation (HiPerNav)

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: Spain,Germany,Switzerland,Norway,Norway,Norway,France,France,Netherlands,United States,Netherlands
Call: Innovative Training Networks (H2020-MSCA-ITN-2016, 2016)
Start date: 2016-11-01
End date: 2021-04-30
Duration (months): 54.0
Total project cost (EUR): 4041920.04
EU funding (EUR): 4041920.04
Participants: 14
Project status: CLOSED

Primary liver cancer, which consists predominantly of hepatocellular carcinoma (HCC), is the fifth most common cancer worldwide and the third most common cause of cancer mortality. A successful surgical resection of HCC requires complete removal of the tumour while sparing as much healthy tissue as possible. Due to technical and clinical difficulties relatively low percentage of patients are eligible for resection. There is an urgent need to increase the patient eligibility and improve the survival prognosis after liver interventions. HiPerNav will train early stage researchers (biomedical engineers and medical doctors) to become international leading in key areas of expertise through a novel coordinated plan of individual research projects addressing specific bottlenecks in soft tissue navigation for improved treatment of liver cancer. The multi-disciplinary dialogue and work between clinicians and biomedical engineers is crucial to address these bottlenecks. By providing researchers with knowledge and training within specific topics from minimally invasive treatment, biomedical engineering, research methodologies, innovation and entrepreneurship, the link between academic research and industry will be strengthened. This allows for easy transfer of promising results from the research projects to commercially exploitable solutions. The global image guided surgery devices market is promising; it was valued at USD 2.76 billion in 2013 and is projected to expand 6.4% from 2014 to 2022 to reach USD 4.80 billion in 2022. The market for soft-tissue navigation is still in its infancy, mainly due to challenges in achieved accuracy for targeting deformable and moving organs. By providing multi-disciplinary training, the researchers in this consortium of international leading research institutions, universities and industry will initiate true translational research from academic theoretical ideas to the clinical testing of prototype, developed solutions and tools.

Keywords: minimally invasive treatment,laparoscopic liver surgery,image guided surgery,navigation,user interaction,high performance computing,image processing,medical imaging,biomechanical modelling
Radically innovative technology for efficient manufacturing of preforms for ceramic matrix composite (CMC) brake disks (ROLL-IT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-08-01
End date: 2018-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Light-weight materials lead to a drastic weight reduction in vehicle components such as the braking system, improving fuel efficiency and vehicle performance. The low density of Carbon Matrix Composites materials makes them ideal for light weight braking systems. CMC brakes are 50% lighter than traditional cast iron discs and their adoption could save up to 25kg/car. They also reduce the braking distance by > 40%. However, they are very expensive. Their production cost (€500) and sales price (€700) is attributed to the multi-step batch production process that includes >7 manual steps done by specialized operators. That is why CMC brake discs accounting for only 1% of the global market. Product quality is also not guaranteed in the current manufacturing process because of inefficient control of the Carbon Fibre (CF) topology which is only achieved by hand or machine positioning. Through this innovation project, we will make CMC brake discs affordable for more customer segments while improving their quality. ROLL-IT is a fully automated process that combines advanced additive manufacturing techniques with traditional sheet molding to enable a continuous forming process of near-to-shape preforms for CMC brake disks, exploiting an affordable processing route on the same machine. ROLL-IT will enable control of the CF topology and that of the material properties that mainly affect the disc performance. CMC manufacturer will benefit from a 600% increase in throughput, 40% decrease in carbo fiber content, 50% reduction in productions costs and a 70% reduction in scrap whilst car owners will benefit from improved mechanical properties of the disc and enhanced safety through a 40% reduction in braking speed. This innovation project will play a significant role in advancing our commercialization strategy. We anticipate a high uptake of ROLL-IT which will boost our sales and elevate PETROCERAMICS from a start-up status to a fully-fledged company.

Keywords: ceramic matrix composite brakes discs,energy,manufacturing process,automation
Minimum degree conditions for tight Hamilton cycles and spanning spheres (MIDEHA)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 174806.4
EU funding (EUR): 174806.4
Participants: 1
Project status: SIGNED

One of the most exciting developments in the second half of the last century in combinatorial research has been the search for Hamilton cycles in graphs and hypergraphs. Since the decision problem, whether a given graph contains a Hamilton cycle, is computationally intractable, no `simple' characterization for their existence is known. The main approach to finding Hamilton cycles has thus focused on natural sufficient conditions. A classic example for this is Dirac's theorem, which provides optimal minimum degree conditions for the existence of a Hamilton cycle in graphs. The aim of this project is to resolve several problems regarding hypergraph analogues of Dirac's theorem. The proposed research considers two natural generalization of cycles: (i) Tight cycles, which have been extensively researched in the past two decades, and (ii) Spheres, a topological generalization of cycles, which was suggested by Brown, Erdős and Sós in the Seventies and has recently resurfaced in extremal graph theory. To determine optimal minimum degree conditions for spanning tight cycles and spheres, the experienced researcher plans to develop new techniques based on hypergraph regularity and combinatorial optimization, which will likely find application beyond the proposed research.

Keywords: hypergraphs,hamilton cycles,tight cycles,spheres,dirac type problems,minimum degree conditions
Uncertainty Quantification And Design Tools For Robust Organic Rankine Cycles (UQ4ORC)

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: Information Science and Engineering
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 187572.48
EU funding (EUR): 187572.48
Participants: 1
Project status: CLOSED

The objective of the present proposal is to advance the state of the art of Organic Rankine Cycles (ORC) to assist Europe achieve its goal for energy sustainability. Current ORC design methods rely on numerical models that use inaccurate assumptions and neglect variable operating conditions. Hence, the specific goal, of this proposal, is to develop advance engineering tools to characterize and minimize the impact of aleatory and epistemic uncertainties during the design phase of ORC based machines. The first part of the project targets the integration of uncertainty quantification techniques with: 1) thermodynamic model of an ORC cycle and; 2) aerodynamic model of the turbine. The objective is to provide performance predictions with confidence margins that facilitate reliable design decisions. The numerical results will be validated with data from a new ORC facility at TU Delft. Additionally, innovative Bayesian inference techniques will use experimental data to infer the confidence margins of the parameters used in the model. The second phase aims to quantify the impact of a variable heat sources in the performance of the cycle and its consequent effect on the aerodynamic efficiency of the turbine. With an accurate prediction of the probabilistic density function of the turbine’s boundary conditions, robust optimization method will be developed to maximize the turbine’s performance over the complete operational range. All the tools will be developed in open access to foster academic collaboration and motivate engineers to consider and minimize uncertainties in the early design phase of energy systems.

Keywords: organic rankine cycles,turbines,uncertainty quantification,bayesian inference,thermodynamic model,robust aerodynamic design
A cooperative approach which brings completeness and inclusiveness to the scan-to-BIM modeling process within the historical buildings life cycle. (Quad2BIM)

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: Portugal
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2023-08-31
Duration (months): 36.0
Total project cost (EUR): 221722.56
EU funding (EUR): 221722.56
Participants: 1
Project status: SIGNED

QUAD2BIM's mission is to promote Smart Heritage turning BIM (Building information modeling) in a functional instrument of knowledge, design and management for historical architecture. It aims to define a new working protocol for building surveyors and BIM technicians, or rather a collaborative approach for issuing as-built parametric models efficiently integrated into the development design process of the existing and historical buildings. So far, the companies that use to carry out the 3D Measured Building Survey also extract the so-called H-BIM (Heritage-BIM) 3Ds as that extremely needs a point cloud based approach and competences. Unluckily, the results often do not give enough consideration to the subsequent steps of the building re-design or reconstruction cycle, which involves architects, engineers and contractors. This issue generates an inevitable re-work onto the models in order to fit them to the users’ needs. The "information sharing", which is the pillar of BIM technology for new construction, in this case is inadequate and must be improved in order to reduce inefficiency and save up to 15% of the project budget. The project will face this issue. It will develop and test the new methodology onto some examples of Portuguese Baroque architecture, a complex and differentiated architectural style that needs the integration of different digital techniques to be fully investigated, modeled and managed in BIM environment.

Keywords: h bim level 3,smart heritage,scan to bim,bim standards,laser scanner,baroque architecture and space,illusionist ceiling paintings,future heritage