Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Fast Natural Language Parsing for Large-Scale NLP (FASTPARSE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Spain
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-02-01
End date: 2022-07-31
Duration (months): 66.0
Total project cost (EUR): 1481747.0
EU funding (EUR): 1481747.0
Participants: 1
Project status: SIGNED

The popularization of information technology and the Internet has resulted in an unprecedented growth in the scale at which individuals and institutions generate, communicate and access information. In this context, the effective leveraging of the vast amounts of available data to discover and address people's needs is a fundamental problem of modern societies. Since most of this circulating information is in the form of written or spoken human language, natural language processing (NLP) technologies are a key asset for this crucial goal. NLP can be used to break language barriers (machine translation), find required information (search engines, question answering), monitor public opinion (opinion mining), or digest large amounts of unstructured text into more convenient forms (information extraction, summarization), among other applications. These and other NLP technologies rely on accurate syntactic parsing to extract or analyze the meaning of sentences. Unfortunately, current state-of-the-art parsing algorithms have high computational costs, processing less than a hundred sentences per second on standard hardware. While this is acceptable for working on small sets of documents, it is clearly prohibitive for large-scale processing, and thus constitutes a major roadblock for the widespread application of NLP. The goal of this project is to eliminate this bottleneck by developing fast parsers that are suitable for web-scale processing. To do so, FASTPARSE will improve the speed of parsers on several fronts: by avoiding redundant calculations through the reuse of intermediate results from previous sentences; by applying a cognitively-inspired model to compress and recode linguistic information; and by exploiting regularities in human language to find patterns that the parsers can take for granted, avoiding their explicit calculation. The joint application of these techniques will result in much faster parsers that can power all kinds of web-scale NLP applications.

Keywords: computational linguistics,natural language processing,syntax,parsing,large scale text processing,text mining,language processing
Smart anticorrosion coatings based on nanocontainers loaded with novel, eco-friendly cationic gemini surfactants as efficient corrosion inhibitors for carbon steel in seawater. (EcoGemCoat)

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: Chemistry
Countries involved: Portugal
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-03
End date: 2020-09-02
Duration (months): 24.0
Total project cost (EUR): 148635.6
EU funding (EUR): 148635.6
Participants: 1
Project status: CLOSED

The project, EcoGemCoat, involves the preparation of smart anticorrosion coatings based on mesoporous silica nanocontainers loaded with innovative, eco-friendly cationic gemini surfactants as high efficient corrosion inhibitors of carbon steel in seawater with the potential application in marine and offshore industry. The main aim of EcoGemCoat will be achieved by performing four specific goals: 1) preparation of novel corrosion inhibitors (synthesis of the surfactants and structure confirmation) with low toxicity; 2) testing of the inhibitors (aggregation behaviour tests, biological tests, electrochemical corrosion inhibition tests); 3) preparation of smart coatings (immobilization of surfactants, characterization of nanocontainers, release study, smart coating preparation); 4) corrosion, mechanical and biological tests of the developed coatings. The proposed project involves different areas of science as organic chemistry (synthesis of inhibitors), analytical chemistry (aggregation behaviour, release study), electrochemistry (electrochemical corrosion tests), environmental science (toxicity and bioaccumulation tests) and materials science (mechanical tests), which makes topic interdisciplinary in nature. The research of encapsulation of the cationic gemini surfactants will be attempted for the first time, as well as the resulting type of smart anticorrosion coatings. Furthermore, the use of green inhibitors as additives of smart and eco-friendly coatings might change the coating Industry paradigm, answering to some of the EU societal challenges for the present and future decades. Equally relevant is the high quality of training to which the candidate will have access, thus fostering a reinforcement of the candidate’s position in the scientific community as an independent researcher and will ultimately have a significant positive impact on the fellow's future career in corrosion research.

Keywords: corrosion inhibitors,corrosion protection,coatings,electrochemistry,green chemistry
Study of tau strains to understand the phenotypic diversity of Alzheimer’s disease: A step toward personalized therapies (DIVE into AD)

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: Life Sciences
Countries involved: Switzerland,United States
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-08-01
End date: 2023-01-04
Duration (months): 24.0
Total project cost (EUR): 190207.68
EU funding (EUR): 190207.68
Participants: 2
Project status: CLOSED

Dementia represents a major challenge for our ageing societies. The number of citizens suffering from dementia in the EU is expected to reach 19 millions by 2050. Alzheimer’s disease (AD) is responsible for the vast majority of dementia cases. However there is still not a single available treatment that modifies the course of disease. Therefore, the development of innovative approaches to better understand the pathophysiology and ultimately treat patients must be a priority. This project aims to understand the determinants of the diversity of AD clinical phenotypes through the deep analysis of pathological variants of the tau protein. As the accumulation of Aβ peptide has long been considered a causative event in AD, most therapeutic approaches have targeted Aβ metabolism, but unsuccessfully. Modern biomarkers, have confirmed that the brain deposition of tau pathology, the other hallmark of AD, correlates much better with human cognition and neurodegeneration. Recently, it was shown that tau behaves like a prion and can spread from one neuron to another. Moreover, tau strains or conformers seem to template native tau and propagate the pathological conformation with high fidelity. Discrete tau strains generate distinct aggregates morphology or patterns of neuronal vulnerability. I postulate that different strains of tau are responsible for the variability of AD and may determine the progression rate, gender differences or clinical expression. Therefore, my objective is to develop the technologies to identify tau strains signatures in distinct AD phenotypes. In particular, I plan to develop and optimize biosensor cell lines that sensitively detect tau strains from human brain samples and cerebrospinal fluid, and characterize respective repertoire of tau strains. Understanding AD heterogeneity would potentially increase our ability to take care of every individual patient. In addition, this work could lead to the development of biomarkers and novel targeted therapies.

Keywords: alzheimer s disease,prion,propagation,strains,conformers,personalized medicine
Flexible Tube Micro Plasma (FμTP) for Dried Blood Spot (DBS) analysis (SPOTplasma)

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: Chemistry
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-05-01
End date: 2023-04-30
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: SIGNED

The need and importance of newborn screening (NBS) is a reality in most of the western countries. NBS helps with the detection and prevention of important health issues during neonates first days of life, avoiding growth or mental retardation or even potential deaths. Even when each individual disorder has a low incidence into the population, their cumulative occurrence is relatively high, around 1 in 1,500 to 1 in 5,000. Most of the NBS programs in western countries are well established but there is a constant need for new methodologies that can tackle more efficient, cheaper, faster, and simpler ways to analyze different disorders. SPOTplasma will help to address innovative methodologies for NBS. Firstly, the project will tackle the idea of unaltered NBS sample analysis with no sample or minimal preparation steps considered as a kind of “Holy grail” for precious samples. And secondly, during SPOTplasma a platform based on ion mobility spectrometry (IMS) will be investigated as an alternative for newborn screening in developing countries, barely implemented due to the lack of well-equipped infrastructures in their public system along with the high costs associated with MS instrumentation. In conclusion, SPOTplasma will address dried blood spot (DBS) analysis by developing analytical tools that can speed up the screening process or cheapen the analysis. Novel methodologies based on a flexible Tube Micro Plasma (FμTP) coupled to mass spectrometry (MS) and stand-alone IMS are proposed for DBS analysis not only for NBS but also in the pharmacological industry.

Keywords: newborn screening,dried blood spots
FF4EUROHPC: HPC INNOVATION FOR EUROPEAN SMES (FF4EuroHPC)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: European High Performance Computing
Action type: Research and Innovation actions
Partnership: EuroHPC (Art-187)
Countries involved: Spain,Italy,Germany,Germany,Slovenia,France
Call: Stimulating the innovation potential of SMEs (H2020-JTI-EuroHPC-2019-2, 2019)
Start date: 2020-09-01
End date: 2023-10-31
Duration (months): 38.0
Total project cost (EUR): 9998475.0
EU funding (EUR): 9998475.0
Participants: 6
Project status: SIGNED

The FF4EuroHPC proposal addresses the need for outreach to, and support of, Europe’s Small and Medium-sized Enterprises (SMEs) in order that they can profit from the innovation advantages offered by advanced High Performance Computing (HPC) technologies and services. FF4EuroHPC takes core team members from the highly successful Fortissimo and Fortissimo-2 projects (hereinafter simply Fortissimo projects) which executed 92 business experiments. They will use the lessons learned and best practices developed in those projects to create a portfolio of business-oriented “application experiments” that allow agile SMEs to investigate and solve business challenges and develop innovative business opportunities. The application experiment framework ensures that they receive the necessary, appropriate support to enter into the HPC ecosystem. FF4EuroHPC will lower the barriers for the participating SMEs to commence HPC-related innovation in their existing or newly identified markets either by using HPC systems for their business needs or by providing new HPC-based services. The outcome will be improved design and development processes, better products and services, and improved competitiveness in the global marketplace. Fundamentally, FF4EuroHPC is focussed on the creation of economic growth and jobs for the European Union.

Keywords: high performance computing,high performance data analytics,artificial intelligence,fortissimo,experiments,smes,business,success stories
Wearable Sweat-based painless and continuous glucose monitoring device for diabetic people (Elektrosens)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Türkiye
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-11-01
End date: 2020-04-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

There are 60 million people with diabetes in the EU (10% of total population). Diabetes is the major cause of death in the age of 20- 79. Also, Europe has the highest number of children with Type 1 diabetes (T1D) compared to other regions with approximately 140,000 diagnosed children and it has one of the highest prevalence rates of diabetes in children with 21,600 new cases per year. The frequent glucose monitoring is the key element in achieving good glycemic control which is the most important factor in preventing diabetes related complications such as diabetic retinopathy, kidney damage, heart disease, stroke and etc. Due to the high cost of the current CGM devices or pain associated with traditional finger-prick measurement, people cannot monitor their blood glucose level continuously. In 2015, 627,000 people aged between 20-79 died due to diabetes related complications. UK prospective study shows that continuous glucose monitoring leads to improved glycemic control, which in turn results in reduced diabetes related complications. Study shows that with continuous glucose monitoring diabetes related retinopathy and nephropathy (eye damage) in type 1 and type 2 diabetes decreased around 60% and microvascular complication rate decreased 25%. Elektrosens Wristband uses a highly selective and accurate novel polymer technology sensing very low sweat glucose levels which are correlated to blood glucose. Our innovative solution makes the continuous glucose monitoring affordable for all customer segments. The main objectives of this product can be divided into two groups; mainly providing a sustainable healthy lifestyle and reducing the economic burdens., we now aim to introduce our technology to diabetes devices market seeing how our solution offers significant performance improvements and is market disrupting in its potential. Our new prototype designed and built, is currently at TRL6 stage.

Keywords: elektrosens,glucose measurement,painless,sweat glucose,affordable,diabetes
Subaqueous spreading: characteristics, evolution and its suitability as a paleoseismic proxy (SubSpread)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Other Widening
Action type: Marie Skłodowska-Curie actions
Countries involved: Malta
Call: Widening Fellowships (H2020-WF-02-2019, 2019)
Start date: 2021-01-11
End date: 2023-01-10
Duration (months): 24.0
Total project cost (EUR): 148049.28
EU funding (EUR): 148049.28
Participants: 1
Project status: CLOSED

Soil spreading is an extensional creeping movement occurring along a shear surface and caused by liquefaction of a gliding plane. Spreading has been documented at many sites worldwide, and it represents an hazard for subaqueous and land infrastructures. Geological factors influencing the mechanics of spreading and its development have not been extensively explored. This proposal focuses on characterising the subaqueous spreading and investigating its triggers and development mechanisms, with the final purpose of testing the use of the spreading signature as a new proxy for paleoseismic research. The methodology will involve a comprehensive analysis of published data on on-land and subaqueous spreading, gathered in two databases respectively. This information will support the development of a 2D Finite Element model implemented on the Tuaheni slide complex (North Island of New Zealand). The final part of the project will investigate the role of spreading as a new proxy for supporting palaeoseismic analysis in the subaqueous setting. Spreading signature will be investigated in the stratigraphic and bathymetric record of Lake Tekapo (South Island of New Zealand). Results from this research will be significant to the European community, as they will be exploited to improve the understanding of spreading along the giant Storegga Slide on the Norwegian margin, and in relation to the on-going palaeoseismic research on Alpine Lakes. The beneficiary of this funding would be the University of Malta, whereas GEOMAR (Germany) and NIWA (New Zealand) will be partner organizations. This funding represents an ideal opportunity for the fellow allowing her to transfer the knowledge on land liquefaction and palaeoseismology to the subaqueous setting. Through this project the fellow will learn about subaqueous geophysical interpretation (bathymetry, 2D and 3D seismic reflection), geomorphometry and finite element analysis, and to return to Europe to undertake high impact research.

Keywords: liquefaction,spreading,subaqueous landslides,paleoseismology,sedimentology,numerical modelling,earthquakes,marine geology,marine paleoseismology
A novel enhancer deletion strategy to determine non-classical monocyte function in atherosclerosis (MONOCLE)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Cardiovascular disease (CVD) is the main cause of death worldwide, and accounts for 40% of deaths within the EU. Monocytes are immune cells that are directly implicated in atherosclerosis, the leading cause of CVD. In both mouse and human there are two principle monocyte subsets, termed 'classical' and 'non-classical'. The classical monocyte subset is a key driver of atherosclerosis, whereas evidence suggests that the non-classical monocyte subset plays a protective role in disease. However, directly testing the role of non-classical (Ly6Clow) monocytes in disease has not been possible due to a lack of experimental models. In preliminary research Dr. Thomas used a novel multidisciplinary approach to generate mice that selectively lack Ly6Clow monocytes. This work identified a small region of the genome, termed an enhancer, that controls expression of the key transcription factor Nr4a1 in Ly6Clow monocytes. Deleting this enhancer produced a mouse that lacks Ly6Clow monocytes but is otherwise normal, unlike existing methods for Nr4a1 deletion. MONOCLE will exploit this novel mouse model to test the role of Ly6Clow monocytes in atherosclerosis, and to gain new insight into mechanisms regulating non-classical monocyte development. Thus, MONOCLE has the potential to reveal new molecular and cellular therapeutic targets in the battle against CVD. MONOCLE will also provide Dr. Thomas with new skills in in vivo CVD research, financial-management and project planning, forming the foundation for his role as a successful independent research group leader in Europe. The fellow will bring to the host institute a unique skill set enabling functional genomic and epigenetic analysis of in vivo cell populations, and access to a network of world-class researchers in epigenetics and monocyte biology. Hence, MONCOLE will bring new knowledge to Europe by facilitating cutting-edge, innovative research that directly addresses one of the largest societal health challenges.

Keywords: atherosclerosis,nr4a1,nur77,non classical monocyte,crispr cas9,enhancer
Smart Alloys Surface Patterning for Properties Tuning (SASPAT)

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: Physics
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-10-01
End date: 2019-10-28
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

The SASPAT project presents two main goals: (a) to train the talented young researcher Dr. Jose M. Porro, in the attractive growing field of Magnetic Shape Memory Alloys (MSMAs), where the host and partner institutions have developed their expertise and knowledge; and (b) the design, development and optimisation of smart patterned MSMA surfaces for applications in industrial sectors such as microfluidics and optical microswitching. The aim of the project is to exploit the effect of the martensitic transformation on the patterned MSMAs to fabricate tunable smart surfaces. The training program includes learning the processes for growing single crystals and epitaxial thin films made of MSMAs, the patterning of the surfaces using top-down and bottom-up lithography techniques, and the structural and magnetic characterization of the patterned surfaces to explore and optimize their optical response and wettability upon the application of the corresponding stimulus. During his short research career, the fellow has gained expertise in the field of nanomagnetism and patterned magnetic nanostructures, acquiring hands-on experience with several lithography techniques and both structural and magnetic characterization techniques. Nonetheless, to further boost his career, the fellow needs to broaden his knowledge in the field of magnetism, and within this project he will be able to acquire expertise in the field of MSMAs, as well as to complement the already known characterization techniques with new ones present at the BCMaterials and the partner institutions. Furthermore, the fellow will gain additional high-level training through two three-month secondments at the IMEM-CNR research institute in Parma, Italy, and at the Lappeenranta University of Technology, an industry-oriented teaching institution. This project will also increase his supervision experience, project and intellectual property management expertise, and research funding and proposal writing skills.

Keywords: magnetic shape memory alloys,martensitic phase transformation,smart surfaces,nanopatterning