Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Regulated secretion and role of urinary nanovesicles (Exosomes)

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: Denmark
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-09-01
End date: 2019-08-31
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

Extracellular nanovesicles called “exosomes” are small membrane-bound vesicles that are secreted by a variety of cell types. Exosomes contain various molecular constituents of their cell of origin, incl. proteins and genetic materials. The exosome release pathway contributes towards protein secretion, antigen presentation and pathogen transfer and roles of exosomes in intercellular communications and transfer of materials have been studied in immunology, neurobiology, stem cell and tumor biology. Exosomes are also released into the urine, although their role in urine is unclear and provides the basis of this fellowship. To gain novel information about urinary exosomes, a transdisciplinary approach is required. I will use my current knowledge of qualitative and quantitative proteomics combined with extensive bioinformatics to study urinary and renal exosomes and their ‘cargo’ secreted under normal and pathophysiological conditions. I will combine this information with new ideas and techniques I will learn in my host laboratory to examine rates of exosome secretion and to assess whether exosomes have the capacity to inhibit the growth of bacteria. Methodologies in this fellowship include techniques which I have extensive experience of e.g. large scale proteomic profiling, and novel techniques that I will learn in the host lab to enhance my research portfolio and future career prospects, including cell biological and microbiological techniques and experience in collecting/using samples from patients. The scientific goals of the project are to investigate the underlying mechanisms for regulated exosome secretion and the role of exosomes in innate immunity. As exosomes are secreted from multiple cell types, this study will have major implications for a variety of biology disciplines. The fellowship will develop my career by providing new novel laboratory skills, it will give me greater freedom to independently run a research project and increase my int collaborations.

Keywords: nanovesicle,exosome,kidney,innate immunity,cell cell communication
Dynamically augmented navigation system (DYANS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: United Kingdom
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The need to know the precise location of individuals has become ubiquitous. Systems currently used for tracking humans and animals depend on global navigation satellite systems (GNSS eg GPS, Galileo) developed for aircraft, cars and boats, and do not provide reliable position information in conditions where GNSS is inaccurate or unavailable. For our research into locomotion of free-ranging animals, we developed a dynamically-augmented sensor system of higher integrity than GNSS alone. Currently, where GNSS is inaccurate or unavailable, most users have no alternative electronic means of navigation. Our system delivers this functionality, with the added benefits of low cost, low power requirements and small size. We propose to transform our research system into a prototype product ready for a commercial partner to take to market. It will fill the gap in the market between highly accurate but heavy and expensive navigation systems, and consumer level systems that give poor accuracy, especially in challenging GNSS conditions. Our system combines information about speed and heading during legged locomotion from accelerometers, gyroscopes and magnetometers and uses it to independently calculate track (position/time) to improve accuracy and continuity. Where GNSS is available, our system assesses the quality of GNSS fixes and uses only reliable information to augment the localisation solution. The performance of the research system and novelty of the approach have been demonstrated through five publications in Nature. The system can be interfaced with other technologies (eg physiological or environmental monitoring systems) and can communicate real-time position data locally or via wireless communications technology to a central control position or server. Our dynamically augmented navigation system DYANS will have application for personal safety, military and sport, in industrial sites for personnel tracking, wildlife research and pet tracking.

Keywords: navigation,localisation,sensors,gnss,sensor fusion,accelerometry,mems
Example-Driven Analytics of Open Knowledge Graphs (EDAO)

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: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-15
End date: 2021-09-14
Duration (months): 24.0
Total project cost (EUR): 207312.0
EU funding (EUR): 207312.0
Participants: 1
Project status: CLOSED

Linked Open Data (LOD) is a standard methodology especially adopted to implement Knowledge Graphs, i.e., networks of facts where entities are connected by predicates describing relationships among them (via RDF triples). LOD are adopted in many domains, and an enormous set of information is currently shared by the private and the public sector in this form (e.g., on the EU Open Data Portal). Therefore, the LOD cloud contains a very rich corpora of information that requires dedicated business analytics and information extractions technologies for the extraction of valuable insights. Yet, to access this data and perform such analysis, the typical gateway are specialized query languages (e.g., SPARQL) that are usually challenging to use to non-expert users. This constitutes a major impediment in their successful exploitation. To support advanced LOD analytics we propose a novel data exploration system which allows users to extract insights within complex and unfamiliar datasets. We plan to implement dedicated Business Intelligence (BI) operators enabled by the Exemplar Query paradigm for Exploratory Online Analytical Processing (OLAP). Example-based methods have proven to be extremely valuable since they avoid complex query languages by using examples to represent the required information. Yet, they have never been studied in the OLAP/BI context. Therefore, we propose to study a new Example-Driven Exploration system to bridge the gap between example-based queries and BI methods. The researcher has co-authored the first paper on Exemplar Queries for graphs. Moreover, the supervisor, prof. Torben Bach Pedersen at Aalborg University, is an expert on BI/OLAP methods for web and semi-structured data. The host of the secondment, prof. Ioana Manolescu, at INRIA Saclay, is expert in advanced RDF analytics operators. These high-profile collaborations will ensure both the successful outcome of the project as well as a platform for the development of the researcher’s career.

Keywords: business intelligence,data analytics,exploratory data analysis,linked open data,example driven exploration,knowledge graphs,data cubes,olap,semantic web
Innovation Management Capacity Enhancement of SMEs in Saxony-Anhalt for the period 2019 (IMCESA2019)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Germany
Call: EEN H2020 SGA3 (H2020-EEN-SGA3-2018, 2018)
Start date: 2019-01-01
End date: 2019-12-31
Duration (months): 12.0
Total project cost (EUR): 39407.5
EU funding (EUR): 39407.0
Participants: 2
Project status: CLOSED

The general objective of the described actions is to contribute to smart growth in the European Union by increasing the efficiency and effectiveness of investments in research, development and innovation and by contributing to a better and more efficient connection of actors along the innovation chain. The specific action will deliver services designed to "Enhance the Innovation management capacity of SMEs" by providing indepth support services to SMEs. Furthermore, beneficiaries of the SME Instrument under Horizon 2020 will receive specific targeted assistance to support coaching assignments addressing specific innovation weaknesses. To achieve the above mentioned objectives bottlenecks to the creation of economic impact in companies benefiting from grants by Horizon2020's SME instrument will be identified and these bottlenecks with the help of capable coaches addressed. This service to beneficiaries of the SME instrument in the context of a giving project is called 'Key account management'. In addition the efficiency and effectiveness of innovation processes will be increased in small and medium sized enterprises with significant innovation activities that could potentially become beneficiaries of European support to research and innovation but would not have effective access to consulting services for innovation management. This service, provided independently from a specific innovation project and focussing on a company's innovation management system, is called 'Enhancing the innovation management capacity of SMEs'. Direct impact from the two actions will be a significantly enhanced growth and profitability of SMEs receiving the services as compared to a control group. Innovation processes will be conducted more efficient and more effectively. Indirect impact will arise from the introduction of high quality innovation management capacity assessment and support services in the region of Saxony-Anhalt.

Keywords: key account management,sme innovation management,capacity enhanvement
Smart organ-on-chip platform based on higher order multimode acoustic Lamb waves (SmOoC)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-06-01
End date: 2022-05-31
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: CLOSED

Organ on chip (OoC) is a remarkable example of the convergence of biology and microengineering. OoC has a great potential in revolutionizing the current existing in-vitro approach in drug discovery and development, resulting in a reduction in the needs of animal experiment and accelerate the research and development process for future precision and personalised medicine. However, the complexity of the system is a hurdle in the transfer of OoC system from laboratory to large scale manufacturing and commercial application. The miniaturisation and integration of sensing and actuation components is an important aspect to be addressed to ensure manufacturability of the system. Moreover, a closed loop control system is required to create a smart OoC system that can operate dynamically to process the information and make decisions in a predictive or adaptive manner. The objective of this proposed research project is to develop a smart OoC system by utilising multimode Lamb waves for sensing, actuation, and control, integrated within a microfluidic system. The action will combine the researcher expertise and experience in higher order multimode Lamb wave, microelectromechanical system (MEMS) and smart system integration, with the supervisors and the host institute experiences in acoustic wave sensor and the integration with microfluidics for biological application. Furthermore, the action will be complemented by a secondment in a non-academic partner that is intended for translational research to bring the technological solution into medical practice. The successful result of this action will contribute to the development of cost effective, automated smart OoC system that is suitable for large scale manufacturing to bridge the gap between laboratory and commercial application for drug discovery and future personalised medicine

Keywords: organonchip,integrated sensors and actuators,smart microsystem,microfluidics,acoustic lamb waves
A Novel Bottom-Up Sales Channel Between Travelers and Airlines (AIRM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-08-01
End date: 2019-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

It is of paramount importance for airlines to fill their seats. This leads to a more efficient use of resources, with positive financial, operational and ecological impacts. It is also crucial for an airline’s success: on average, planes need to be filled at 70% of their capacity, just to break even. This is why airlines have spent significant efforts in revenue management, the practice of carefully optimizing the different fares proposed to customers. Nonetheless, the average load factor in the industry still lies below 85%. The current paradigm is top-down: revenue managers estimate the future demand for a flight, use it to the determine the optimal fares and then publish those fares through the different sales channels. Until the date of departure, they continuously monitor the flight’s occupancy. Whenever the actual market behavior differs from their prediction, they adjust the fares and wait to assess the market’s response. We propose to improve this model by introducing a novel bottom-up channel from travelers to airlines. When an agent knows there is a passenger interested in a flight, they will be able to place a bid on a seat. Airlines will have access to an interface listing such interested passengers and their offered prices. They may accept a bid and thus immediately increase the occupancy of a flight, without the need for continuous fare readjustment. This would deeply change the dynamics of the market, providing airlines with real-time information about the demand. At Option Way, we are experts in air travel. We have developed a comprehensive toolset to communicate with flight reservation systems and have conducted insightful research on airfare volatility. With airlines being a 10-billion Euro industry in Europe, and the number of passengers expected to nearly double in the next ten years, we strongly believe in the broad impact of our product, contributing to the financial health of air carriers and the more efficient use of resources.

Keywords: revenue management,air travel,airfare,global distribution system,aviation
Neurodidactics of Performing Arts: The Impact of Drama Teaching on Second Language Acquisition (NPA)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy,Australia
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-06-22
End date: 2018-09-10
Duration (months): 36.0
Total project cost (EUR): 250518.6
EU funding (EUR): 250518.6
Participants: 2
Project status: CLOSED

Since the 1990s, Educational Neuroscience has become an emerging field of research which studies cognitive brain functions (thinking, memory, attention, emotions) and interfaces with the educational environment with the aim of improving teaching and learning. Simultaneously, "Drama Teaching", a teaching methodology based on performing arts introduced in the 1970s, is now generating interest, especially in Foreign Language Learning. This research project will investigate aspects of cognition involved in the language learning process and it will analyse how Drama Teaching dynamics can impact language learning and proficiency. In order to define Drama Teaching as a methodology which involves the brain-mind-body dimension and fosters development of the learner as a whole person, a cognitive perspective will be adopted in relation to issues of a) embodied cognition, b) role of emotions in learning, c) impact of context and experience on learning d) cross-cultural identity process, development and awareness. Theoretical scientific investigation will be conducted on cognitive aspects relevant to learning, followed by the study and observation of dramatization practices. Development of curriculum and course implementation will follow. Particular attention will be given to the assessment of learning results and proficiency levels, as well as to the cognitive and emotional factors. The inter-disciplinary perspective adopted by this study is aimed at contributing to the debate on creative, interactive Foreign Language Education taking place in Europe and in the world. The scope is to contribute to the multi-disciplinary inquiries of Educational Neuroscience by elaborating a neuroscientifically grounded theory of Drama Teaching which gives educators guidelines to expand the range of teaching possibilities in accordance with the principles of Learning/Teaching of the “Common European Framework of Reference for Languages”.

Keywords: process drama,drama teaching,cognitive neuroscience,neuroscience of learning,second language acquisition,applied linguistics,neuroeducation,neurodidactics
Riemann-Roch and motives for arithmetic problems (RRMAP)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-01-01
End date: 2022-12-31
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: CLOSED

Our project “Riemann-Roch and Motives for Arithmetic Problems” aims to develop techniques in the area of Motives and the Riemann-Roch to attack arithmetic problems. To be more concrete we aim to attack: - The integral Riemann-Roch: At SGA VI Grothendieck developed his landmark Riemann-Roch result stating an integral version of it as an open question. Later on, research of Fulton, MacPherson and Pappas raised Grothendieck original conjecture to a more complete statement related to traces, which is known today only in the complex geometric setting. We aim to prove this conjecture in its full generality. -The discrete Riemann-Roch: At SGA5 Grothendieck proved his wellknown Ogg-Shafarevich formula computing the Euler characteristic of a constructible sheaf over curve in terms of the genus, the Swan conductor and therank. This formula plays a central role in the original strategy to prove the Weyl conjectures. Grothendieck also conjectured that this formula would fit into a Riemann-Roch type theorem for the K-group of étale constructible sheaves and general schemes, which he called the “discrete Riemann-Roch”. We aim to attack this theorem from the motivic point of view. -Intersection theory in the arithmetic setting: A major objective of Algebraic Geometry is to define a product algebraic cycles for in the arithmetic setting. So far, this product has being defined with rational coefficients. The first definition, due to Gillet-Soulé, was achieved throughout the Adam’s operations, the Adams Riemann-Roch and the Grothendieck-Riemann-Roch. We aim to explore some of Gillet-Soulé’s ideas and the arithmetic bivariant integral version of the Riemann-Roch to explore a definition of the intersection product of cycles after killing certain torsion on the Chow groups related to the codimension of the cycle

Keywords: motives,k theory,chow groups,riemann roch,arithmetic geometry,intersection theory,vanishing,conjecture
Between migration and linguistics: Greeks in Western Europe and the emergence of contrastive grammar in the Renaissance (c.1390–1600) (MigraLing)

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: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-03-01
End date: 2023-03-31
Duration (months): 24.0
Total project cost (EUR): 214158.72
EU funding (EUR): 214158.72
Participants: 1
Project status: CLOSED

Migration and its societal impact have never been higher on the agenda than in our globalized world, which is why it features prominently in the Horizon 2020 Work Programme 13. It is a challenge that not only poses problems, but also offers opportunities in various ways. The possibility of a positive impact of migration often tends to be neglected in present-day debates. History, however, demonstrates that optimistic expectations should not necessarily remain unattainable. The crumbling apart of the Byzantine Greek empire in the late Middle Ages, for instance, engendered a steady influx of Greek migrants into Western Europe during the Renaissance. The fall of Constantinople in 1453 further stimulated this population movement, triggering a first major brain drain from the Greek world. This confronted Western Europeans not only with another culture, but also with another language boasting a rich cultural and grammatical tradition, the full impact of which remains to be investigated. The proposed action aims to counter this state of affairs by studying an important linguistic dimension of this vast research lacuna: the way in which the Greek migrants contributed to transforming grammar from a monolingual, Latinocentric knowledge domain to a multilingual and flexible discipline. Indeed, their intensive teaching of the Greek language and its grammar was a key turning point in the history of linguistic thought, since it gave rise to a contrastive approach to language studies and education. It is this revolutionary development which the action intends to analyse by investigating Renaissance linguistic handbooks. In particular, it aims to study (A) how and why contrastive grammar emerged in the wake of Greek migration movements during the Renaissance, (B) how this related to the Greek migrants' teaching of Western European students, both male and female, and (C) what the impact of this new genre of language study was on later linguistic thought and praxis.

Keywords: history of linguistics,comparative turn,history of language learning and teaching,classical reception,studies,book history,renaissance studies,early modern history