Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Professional Urinary Screening (RBM-Screen)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Denmark
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-06-01
End date: 2017-10-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

RBM-Screen IVS is an early state company, pursuing a business model based on spectroscopic solutions developed and design for professional and personal screening, monitoring and diagnostics. We have developed a unique device capable of detecting the most important biomarkers in urine with regards to the functionality of the renal system. The primary purpose of our device is to; Improve the quality and reduce the treatment time by providing temporal resolution and direct measurements. Additionally, Avoided or reduce number of unnecessary costly hospitalization of patients. Furthermore, give the patient the possibility for involvement and heavily reduce inconveniences with the objective of strengthening the empowerment and literacy for the patients in general. The ultimate goal is to commercialize a personal Mobil Renal Bio-marker Screening device. However, our first step is to offer a solution for practitioners and health clinics to provide the means to directly and easily detect and warn against changes in biomarkers. Second step is to provide at take home device to reduce fear and provide a direct refence for approaching the appointed physician, moreover neglect the long-distance diagnostic issues. All in all, provide valuable content to an existing infrastructure in bridging the information gap between patients, practitioners/health clinics and the renal sections at hospitals; increasing the ability to do make fact based decisions and avoid acting on false alarms and occupied hospitals beds or initiate treatment earlier and get in-depth information to evolvement of bio-markers. The company and coherent development of the RBM-screen are done in close relation to renal sections at university hospitals and practitioners running tests and validations of the device. Furthermore, marked studies indicate an un-exploited marked with notable growth potential giving RBM-Screen precondition to be heavily boosted.

Keywords: screening,urine,detection,kidney failure,renal,dialysis,biomarkers
Circular Built Environment Design - Applying the Circular Economy to the Design of Social Housing (CircuBED)

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-2017, 2017)
Start date: 2018-06-01
End date: 2021-02-28
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

The proposal aims to help the Applicant to resume research after a career break and attain a position of professional independence and maturity. These objectives will be achieved through the enhancement of her creative and innovative research potential and the increment of her skills firstly by carrying out a research project in a pioneering field, secondly by advanced training and thirdly by inter-sectoral mobility. The project will provide guidance material to assist housing associations and related companies in the design development of sustainable social housing by the implementation of the circular economy. It will support the design of housing solutions that will be easier to maintain, repair, upgrade, refurbish, re-manufacture or recycle with respect to traditional ones. This goal will be obtained by the development of a representative housing design sample and related significant circular components, and thereafter the synthesis of outcomes in a guide. Through advanced training, the Applicant will enhance her research-related skills as well as transferable skills about project management, exploitation, dissemination and communication to different audiences. Learning will be strengthened by the management of the project and any possible IPR, publications, conferences participation, dissemination in academic and non-academic sectors as well as public engagement event contribution. The secondment in a global firm involved in design and engineering consulting for the built environment will contribute to enhance her competence to convert ideas into circular building products, and it will boost collaboration between academic and non-academic sectors. The Fellowship will benefit at the Applicant level improving her employability in and outside academia, at the organization level increasing cooperation and knowledge transfer between academic and non-academic sectors, and at the system level contributing to Europe’s sustainable growth meanwhile fostering innovation

Keywords: circular design,flexibility,disassemble,recycling,reuse,re manufacturing,circular value chain,circular business model,social housing,participatory design
Towards a theory of mathematical signs based on the automatic treatment of mathematical corpora (SemioMaths)

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: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-10-01
End date: 2022-12-30
Duration (months): 24.0
Total project cost (EUR): 191149.44
EU funding (EUR): 191149.44
Participants: 1
Project status: CLOSED

The SemioMaths project aims at proposing a formal model for the automatic analysis of mathematical corpora, based on semiological theories and on recent advances in formal and computational linguistics, in order to provide a broad and solid framework for the philosophy and the history of mathematics especially concerned with the study of mathematical practices. In order to achieve this objective, the action includes advanced training in the technical fields concerned by the project, the study of various existing mathematical corpora, the development of concrete implementations of linguistic computational models on mathematical corpora, and the elaboration of the corresponding results in the form of both scientific articles and a software package. Scientific training will be achieved by following suitable courses and exchanging with the research community of the host institution; the study of corpora will be done in close collaboration with the research team of the host chair; models will be implemented using the institution’s advanced computing infrastructure and IT support; finally, a teaching activity will help to systematize the conceptual grounds of the proposed approach. As a result of its inherent interdisciplinarity, other than in the specific fields of philosophy and history of mathematics, an impact is expected from the connections to be established with the other fields with which this project is concerned (computational linguistics, computer science, logic), and between the corresponding scientific communities. In this way, the SemioMaths project will improve our comprehension of the relations between mathematical knowledge and empirical textual practices. This shall result in a better understanding of the singularity of mathematics as a human practice and of its role in society, thus ultimately helping to build new and original bridges between formal and natural sciences on one side, and the humanities on the other.

Keywords: philosophy of mathematics history of mathematics philosophy of mathematical practices semiology of mathematics
DeepField- Deep Learning in Field Robotics: from conceptualization towards implementation (DEEPFIELD)

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: Spain,Italy,Germany,United Kingdom,Portugal
Call: Twinning (H2020-WIDESPREAD-2018-03, 2018)
Start date: 2019-10-01
End date: 2023-09-30
Duration (months): 48.0
Total project cost (EUR): 799975.0
EU funding (EUR): 799975.0
Participants: 5
Project status: SIGNED

Robots are active agents that need to interact with the physical world, to do so, robots are equipped with different sensors, whose data is used to build models that ultimately will allow robots to plan actions and make decisions. Currently, there is strong focus in developing deep learning strategies “data driven” to help solve this perception problem, even though these approaches work well in dataset and benchmark scenarios. There are still strong limitations in the use of this techniques in real world robot activities, specially due to the strong dynamics in robots operational environment, that is pushing the development of new tools and methods to make these approaches feasible in the real world. INESC TEC is strongly committed to become a centre of excellence with focus on field robotics, in particular, in the aerial and underwater robotics domain. In the last years, the centre for Robotics and Autonomous systems, of INESC TEC has advance its scientific knowledge in sensing and perception methods for robots navigation and localization in harsh operational environments. The key objective of INESC TEC is to become one of the European references in field robotics, and help to bring robot technology to solve real life problems where human intervention is still limited or non-existent. This proposal aims at creating solid knowledge and productive links in the global field of deep learning in field robotics between INESC TEC and established leading research European institutions, capable of enhancing the scientific and technological capacity of INESC TEC and linked institutions (as well as the capacity of partnering institutions involved in the twinning action), helping raising its staff’s research profile and its recognition as an European research centre of excellence in field robotics. In particular, it takes INESC TEC and places it as the pivot of a network of excellence, involving four international leaders in deep learning technology and fied robotics.

Keywords: deep learning,robot awareness and perception,field robotics
Liftra Self-Hoisting Crane (LSHC) - a disruptive crane solution for cost effective exchange and service of major wind turbine components (Liftra Crane)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Denmark
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2016-09-01
End date: 2019-06-30
Duration (months): 34.0
Total project cost (EUR): 2773000.0
EU funding (EUR): 1941100.0
Participants: 2
Project status: CLOSED

The Liftra self-hoisting crane (LSHC) enables significant cost savings on exchange of major components of wind turbines – which in turn reduces the cost of wind energy. With a crane that fits within a single 40 foot container, it is possible to change major components such as gearboxes and generators on wind turbines, with no restrictions on wind turbine height. Today there is more than 94.000 wind turbines installed worldwide in the size range from 1,4MW to 2,4MW, which is the current market range for the LSHC for changing of major components. Since each wind turbine conservatively requires minimum one major component exchange per 10 years, the market potential is between €235 million and €1,9 billion EUR per year in pure crane servicing costs. However, the value proposition of the LSHC does not only concern the existing market. The superior mobility of this technology enables major component service in remote areas with poor infrastructure and low access to large cranes. In turn this reduces the risk of installing wind turbines in less developed regions and may facilitate truly global expansion of wind energy. This far, the LSHC has been deployed project-to-project business model, according to which each commercial engagement is a unique solution, and based on thorough adaptation and testing on WT models. This approach is time consuming and very costly, thus, not scalable or replicable to global, mass markets. The project as a whole addresses the challenges of penetrating the market with an innovative new crane technology and allow fast scaling of the business worldwide to become the new industry standard through a mass customization-base business strategy. Successful project completion represents a significant business opportunity for our SME, with expected revenues of €125 million within 5 years, of which more than €22 million stand as direct profit. In addition, the successful market introduction of the LSHC is expected to create over 220 new jobs.

Keywords: wind turbine,maintenance cost reduction,crane technology,renewable energy
Dicer-Dependent Defense in Mammals (D-FENS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Cellular, Developmental and Regenerative Biology
Panel description: Structure and function of the cell, cell-cell communication, embryogenesis, tissue differentiation, organogenesis, growth, development, evolution of development, organoids, stem cells, regeneration, therapeutic approaches
Countries involved: Slovakia,Czechia
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-07-01
End date: 2020-06-30
Duration (months): 60.0
Total project cost (EUR): 1950000.0
EU funding (EUR): 1537000.0
Participants: 2
Project status: CLOSED

Viral infection or retrotransposon expansion in the genome often result in production of double-stranded RNA (dsRNA). dsRNA can be intercepted by RNase III Dicer acting in the RNA interference (RNAi) pathway, an ancient eukaryotic defense mechanism. Notably, endogenous mammalian RNAi appears dormant while its common and unique physiological roles remain poorly understood. A factor underlying mammalian RNAi dormancy is inefficient processing of dsRNA by the full-length Dicer. Yet, a simple truncation of Dicer leads to hyperactive RNAi, which is naturally present in mouse oocytes. The D-FENS project will use genetic animal models to define common, cell-specific and species-specific roles of mammalian RNAi. D-FENS has three complementary and synergizing objectives: (1) Explore consequences of hyperactive RNAi in vivo. A mouse expressing a truncated Dicer will reveal at the organismal level any negative effect of hyperactive RNAi, the relationship between RNAi and mammalian immune system, and potential of RNAi to suppress viral infections in mammals. (2) Define common and species-specific features of RNAi in the oocyte. Functional and bioinformatics analyses in mouse, bovine, and hamster oocytes will define rules and exceptions concerning endogenous RNAi roles, including RNAi contribution to maternal mRNA degradation and co-existence with the miRNA pathway. (3) Uncover relationship between RNAi and piRNA pathways in suppression of retrotransposons. We hypothesize that hyperactive RNAi in mouse oocytes functionally complements the piRNA pathway, a Dicer-independent pathway suppressing retrotransposons in the germline. Using genetic models, we will explore unique and redundant roles of both pathways in the germline. D-FENS will uncover physiological significance of the N-terminal part of Dicer, fundamentally improve understanding RNAi function in the germline, and provide a critical in vivo assessment of antiviral activity of RNAi with implications for human therapy.

Keywords: germline,rna interference,pirna,retrotransposon,antiviral defense
Palm hydraulics linking biodiversity and functioning of tropical forests under climate change (PalmHydraulics)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-08-01
End date: 2018-11-12
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

How do biodiversity and ecosystem functioning respond to climate change? Currently, fundamental knowledge gaps prevent us from answering this most pressing question. Global climate is largely dependent on tropical forest functioning due to the scale of plant-driven ecosystem services that they provide (water and carbon cycling). Thus, research on tropical plants is essential to address the question. However, critical plant groups such as palms, which are hyperdominant in tropical forests, remain almost entirely neglected. The intricate relationship between plants and the environment is mediated by functional traits, but current models do not yet account for the dynamics of species and functional composition and thus fail to predict plant/climate responses accurately. This critical knowledge gap is the primary focus of PALMHYDRAULICS. The project will use palms as a model group to explore hydraulic traits, which are pivotal in plant/climate responses, but unstudied in palms, despite their importance. PALMHYDRAULICS will focus on the structure, ecology and evolution of palm hydraulic functioning. Through a novel, integrated research programme, PALMHYDRAULICS will use cutting-edge analyses to disentangle the role of trade-offs in plant hydraulic structure relating to species diversification, intraspecific variation, structural development and individual survival that underpin feedback mechanisms between plant effect on and responses to climate change. This comprehensive, ambitious approach builds on the world leadership of the host institution in integrated studies of the palm family, plant morphology and evolution, its unrivalled collections, and the complementary expertise of the host scientists and experienced researcher. Novel and extensive datasets will be produced and made openly accessible, and findings will be disseminated through the most prestigious scientific journals and a comprehensive public communication plan.

Keywords: functional biology,plant anatomy
NANOMATERIALS-BASED INNOVATIVE ENGINEERING SOLUTION TO ENSURE SUSTAINABLE SAFEGUARD TO INDOOR AIR (NANOGUARD2AR)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Ukraine,Spain,Belarus,France,France,France,France,Portugal,Portugal
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2015, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 1386000.0
EU funding (EUR): 1386000.0
Participants: 17
Project status: CLOSED

The overall project idea is on contribution to European culture and creativity through developing technological readiness of the breakthrough engineering solution for indoor air safeguard via inter-sectoral European and international cooperation, knowledge sharing, broad skills development and mobility of researchers and innovation staff. Under NANOGUARD2AR it is expected to build new and enhance existing network of international and inter-sectoral cooperation in the form of joint research and innovation activities between the project Partners with multidisciplinary skills and complementary competences in nanomaterials, physics, civil engineering, chemical engineering, green chemistry, microbiology, environmental protection, indoor air quality control and safety. It will significantly strengthen the interaction between academic and non-academic sectors within MS/AC Countries France, Portugal, Spain, Ukraine and Third Country the Republic of Belarus in the field of the innovative nanomaterials engineering application for the environmental protection. The main objectives of the NANOGUARD2AR project are to develop and design, test, validate and demonstrate an innovative nanomaterials-based “microbial free” engineering solutions and responsive system [NANOGUARD2AR system] for the indoor air safeguard to support concept of green buildings. To achieve this goal the NANOGUARD2AR project will explore the use of nanomaterials (NMs) as photosensitizers coupled with advanced air-curtains technology and innovative interactive dark operating oxidizing composite materials being able to generate adsorbed hydroxyl radicals without any external energetic excitation. The emphasis of the project activities is on the proof of the concept of the innovative nanomaterials-enhanced air-barrier engineering solution towards efficient and sustainable protection of the indoor environment from microbial contaminations (fungus, fungal propagules, bacteria, their spores and germination).

Keywords: nanomaterials,environmental engineering,microbiology,airborne pathogens,safety and public health
A low-cost IoT - solution for predictive maintenance of small electric motors towards the Factory of the Future (SMART PlantOne)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Italy
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-12-01
End date: 2018-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Electric motors are one of the main components in industries, thus knowing their health state exploiting predictive maintenance programs is nowadays more than necessary in the vision of the Factory of the Future. The correct application of these programs will reduce the repairing costs and the unplanned downtime, will generate savings in employees’ time and will optimise the energy consumption. So far, only expensive and bulky monitoring equipments, targeted to costly electric motors (e.g., carbon mills on power plants), are available on the market. These systems provide raw data that can be only manipulated by specialists. For these reasons, large firms currently may only implement predictive maintenance programs on costly electric motors and in that case they must employ experts capable of understanding the data provided by these systems. However, the large part of active industrial motors is small-medium sized and, for these reasons, are unmonitored. These motors are usually a key asset in SMEs’ production process. In this proposal, we aim at the “predictive maintenance democratisation”, i.e. a shift of its benefits also to smaller size motors. This can be done with a low-cost and easy-to-use system based on Internet of Things technologies. Particularly, we aim at improving and evaluating the market potential of a system capable to process, automatically understand motors’ health states and warn the end user in a simple manner, thus providing its benefits to both large firms and SMEs.

Keywords: industrial internet of things,smart factory,smart manufacturing,industry 4 0,digitalisation,internet,predictive maintenance,electric motors,democratisation,standard protocols