Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
EVOLUTION OF CYANIDE METABOLIMS IN APOSEMATIC BUTTERFLIES: from gene characterization to community ecology (Cyanide Evolution)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-01-01
End date: 2022-09-02
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

The colourful and toxic Heliconius butterflies are well-established models to study evolution of aposematims and mimicry, yet the genetic basis of their toxicity and how this varies in different populations remains unknown. Heliconius are toxic butterflies because they contain cyanide-releasing compounds called cyanogenic glucosides, which they can both biosynthesize or uptake from Passiflora plants, their co-evolutionary partner, during larval feeding. This multidisciplinary project brings together ecology, genetics, biochemistry and evolutionary biology to investigate how toxicity and interactions with Passiflora plants has shaped the evolution of these butterflies. Thus, I will combine the gene-editing technology CRISPR-Cas with different OMICs approaches (metabolomics, transcriptomics and phenomics) to (1) decipher the genetic and phenotipic bases of cyanogenesis in Heliconius butterflies and (2) unravel the evolutionary trajectory of this defence system in the Heliconiine tribe. Moreover, I will also (3) establish how cyanogenesis vary within and between tropical and subtropical heliconiine-Passiflora communities of the Brazilian Atlantic Forest, a biodiversity hotspot endangered by extreme deforestation. This project will give me the unique opportunity to expand my knowledge and skills repertoire on genetics, ecology, evolutionary biology and bioinformatics. I will be trained in advanced techniques such CRISPR-Cas, gene expression analysis, R programing, statistical methods applied to community ecology and matabolomics, etc. Also, during this fellowship I will excel my teaching/supervision, project management and communication abilities. All these expertise will be extremely valuable for the execution of the project and will bring great progress to my career development, increasing my chance of of reaching a long-term position in academia.

Keywords: crispr cas,heliconius butterflies,cyanogenesis,coevolution,passiflora
Modular DNA Origami Platform for the Design of Tunable Glucose Biosensor (GlucOrigami)

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: Chemistry
Countries involved: Germany
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): 162806.4
EU funding (EUR): 162806.4
Participants: 1
Project status: CLOSED

Biosensors play a crucial role in our everyday lives from health monitoring to disease detection. The rapid advancement of sensing technologies dictates an ever growing need for improved biosensors which are capable to continuously monitor analytes in a single-step process and yield low-cost devices. The performance of many biosensors is, however, limited by the binding strength of their molecular recognition unit which dictates the dynamic range of the sensor and is often tightly connected to the signal transduction unit, i.e. its signal output. In this project, I propose to globally solve this limitation by decoupling the molecular recognition and signal transduction units of the biosensor by exploiting self-assembled and programmable DNA origami nanostructures. This fundamental approach will be demonstrated by the design of a sensitive and tunable biosensor for glucose, whose sensing is of utmost importance for the disease monitoring of diabetic patients. DNA origami will be utilized to precisely position all biosensor elements: multifluorophore FRET pair, which will serve as a signal transduction and amplification unit as well as glucose/galactose binding proteins and glucose functionalities, which will provide a molecular recognition unit. Different biomimicry strategies to tune the useful dynamic range of the biosensors will be evaluated aiming to achieve sensitivity at a physiologically relevant glucose concentration. Finally, the potential to combine these advanced glucose biosensors with low-cost read-out instruments (such as smartphone cameras) will be assessed. The DNA origami glucose sensor proposed here is of great promise for the development of wearable and low-cost glucose sensing devices for diabetes monitoring, which will grow into a large demand in our society. Moreover, it will allow me to merge DNA nanotechnology, molecular biology, spectroscopy and chemistry research, laying the foundations upon which to build my future career in Europe.

Keywords: dna origami,biosensors,fluorescence imaging,dna nanotechnology,glucose sensing
Stimulating mir-106b expression to regenerate the myocardium (SUMMA)

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: Netherlands
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2018-02-01
End date: 2019-07-31
Duration (months): 18.0
Total project cost (EUR): 149875.0
EU funding (EUR): 149875.0
Participants: 1
Project status: CLOSED

Most people who develop ischemic HF have (or had) an ischemic heart condition first (e.g. myocardial infarction, MI). Restoring damaged heart muscle tissue therefore represents a fundamental mechanistic strategy to treat HF. Cardiac regeneration after ischemic damage can be achieved by stimulating the proliferation of already existing (endogenous) cardiomyocytes rather than having to rely on the implantation of exogenous cells (i.e. stem cell therapy). Compelling evidence supports that expanding the endogenous cardiomyocyte proliferation capacity by gene therapy appears to represent a promising approach to achieve endogenous cardiac regeneration. Species of non-coding RNA molecules, microRNAs, have been demonstrated to stimulate cardiomyocyte proliferation and the recognition of microRNAs as potential regenerative targets marks a major step towards fundamentally new therapeutic concepts that SUMMA addresses in ischemic heart disease. In the context of the ERC-Starting Grant project CALMIRS, we identified the miR-106b~25 cluster with high potential as new target for therapy to stimulate regeneration of the heart by promoting cardiomyocyte proliferation. Within SUMMA, we aim to advance these valuable research results on microRNA cardiac gene therapy in mice towards commercial proof-of-concept. During this project, proof-of-concept efficacy studies in a large animal (e.g. porcine) model of cardiac ischemia will be performed, while simultaneously market research, IP strategy development and business development activities take place to maximize the value of the project’s results. Different business models will be studied in terms of market research, IP strategy and business development to eventually consolidate a commercial strategy and business case for presenting our business proposition to strategic partners or venture capitalists.

Keywords: microrna based therapeutics,regenerative medicine,adeno associated viral vectors
Dynamic Network Analysis of Global News Events (GlobalDNA)

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: Information Science and Engineering
Countries involved: Slovenia,United States
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-10-17
End date: 2019-10-16
Duration (months): 36.0
Total project cost (EUR): 250774.2
EU funding (EUR): 250774.2
Participants: 2
Project status: CLOSED

The GlobalDNA project aims to create multimodal data driven complex models which enable the provision of different views of the events happening in the world.
large-scale CLimate And VegetatIon CHanges OveR the last Deglaciation (CLAVICHORD)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-12-01
End date: 2018-11-30
Duration (months): 24.0
Total project cost (EUR): 173076.0
EU funding (EUR): 173076.0
Participants: 1
Project status: CLOSED

The last deglaciation (from ~21,000 to 9,000 years ago), during which the huge ice sheets over the North America and Scandinavia melted, is a period of tremendous climate and environmental changes, including Heinrich Stadial 1 (HS1, abrupt cooling over and around the North Atlantic), Bolling Warming (BW) and Younger Dryas Cooling (YD). These changes are documented by physically based paleoenvironmental indicators (such as oxygen or carbon isotopes in ice cores and marine cores), but less by biologically based data (such as paleo-vegetation). Paleo-vegetation data is, however, crucial to document continental-scale climate and environmental changes over the deglaciation. This project aims, for this period of the last deglaciation, at 1) building a comprehensive documentation of climate changes over terrestrial areas from widely available pollen data, 2) assessing the impact of both climate and atmospheric CO2 changes on the vegetation and 3) investigating the changes in large-scale atmosphere circulation and hydrological cycle responsible for these surface climate and vegetation changes. These results will contribute to quantifying the range of possible changes in these circulations in the future. For this purpose we propose to use global pollen data, process-based equilibrium and dynamic vegetation models, and two types of climate models, which can either simulate climate over the whole period but at low resolution, or over specific ~1000 years-long periods, at finer spatial scales. . This project will provide new benchmarking data for understanding environmental changes and evaluating climate models which are used for climate projections. The excellence of the experienced researcher in pollen-based climate reconstruction using process-based vegetation models and paleoclimate simulations from the host institution will ensure the success of this project.
Probing principles of neural coding with all-optical interrogation in behaving mice (NeuralCoding)

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: 2017-09-01
End date: 2019-08-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

How is information encoded in the brain? Sensory neurons transform information from the outside world into electrical signals which are transmitted via the sensory pathway into the neocortex. In the neocortex, the area crucially involved in higher cognitive functions, neurons form networks that exhibit complex time-varying patterns of activity. The nature of the neural code that is used by these neuronal networks to encode and pass on information by means of spatiotemporal activity patterns is largely unknown. I will combine large-scale neuronal recordings, advanced analysis tools and targeted manipulation of neuronal activity in the context of behaviour to extract population activity patterns that encode stimulus information and most crucially identify their functional relevance in the behaving animal. Specifically, I will establish a fine-tuned texture discrimination task in head-fixed mice that depends on information processing in layer 2/3 of barrel cortex. I will use two-photon calcium imaging to detect activity in large populations of neurons during task performance. I will apply advanced analysis tools including dimensionality reduction methods, dynamical systems approaches, and network simulations to extract and characterise stimulus and task-specific population activity patterns. In order to establish behavioural relevance I will perturb neural activity during two-photon imaging in the behaving mouse by using time-varying patterned optogenetic manipulation. This will allow me to directly probe the functional relevance of neural activity patterns and establish a causal link between identified population activity patterns and behaviour. This project will provide unprecedented insights into the nature of neural dynamics in neocortex as well as constraints for computational models of neocortical function that will be used to provide a mechanistic understanding of the neural code.

Keywords: neural coding,sensory processing,two photon calcium imaging,optogenetics,computational neuroscience
Utilization of secondary raw material in geopolymers production (GeoDust)

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: Spain,Slovakia,Czechia,Czechia,Czechia
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2016, 2016)
Start date: 2017-01-01
End date: 2022-03-31
Duration (months): 63.0
Total project cost (EUR): 558000.0
EU funding (EUR): 558000.0
Participants: 6
Project status: CLOSED

A lot of cement plants all around Europe are standing before problem of by-pass kiln dust disposal. Nowadays small part of production is added in stabilizing admixture and the rest is disposed of as a waste material. In light of the fact that this material contains approximately 10–50 wt. % of KCl, free lime and dicalcium silicate, the possibility of their usage in alkali activated systems is at hand. Project proposal deals with, research and testing of alkali activated concretes based on by pass kiln dust and other suitable industrial waste. Project is primarily focused on concrete, which properties are defined by European standards. The precast concretes will fulfil all quality and properties requirements demanded in industrial application. Project proposal will be implemented by consortium of university research organizations (Brno University of Technology, Technical University of Ostrava, and Institute of Eduardo Torroja for construction Science-CSIS), by-pass kiln dust producer (Cemmmag Inc.) and large scale producer of prefabricated concretes (ŽPSV Inc.). This consortium has a high potential to successfully and sophisticatedly implement above described research tasks.

Keywords: cement kiln dust,geopolymers,concrete
Learning and collective intelligence for optimized operations in wake flows (WakeOpColl)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Belgium
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-09-01
End date: 2023-02-28
Duration (months): 66.0
Total project cost (EUR): 1999591.25
EU funding (EUR): 1999591.25
Participants: 1
Project status: SIGNED

Physics dictate that a flow device has to leave a wake or the signature of it producing sustentation forces, extracting energy, or simply moving through the medium; these flow structures can then impact negatively or favorably another device downstream. Wake turbulence between aircraft in air traffic and wake losses within wind farms are prime examples of this phenomenon, and incidentally constitute pivotal challenges to their respective fields of transportation and wind energy. These are highly complex and unsteady flows, and distributed control based on affordable wake models has failed to produce robust schemes that can alleviate turbulence effects and achieve efficiency at the scale of the system of devices. This project proposes an Artificial Intelligence and bio-inspired paradigm for the control of flow devices subjected to wake effects. To each flow device, we associate an intelligent agent that pursues given goals of efficiency or turbulence alleviation. Every one of these flow agents now relies on machine-learning tools to learn how to make the right decision when confronted with wake or turbulent flow structures. At a system level, we employ Multi-Agent System and Distributed Learning paradigms. Based on Game Theory, we build a system of interactions that incite the emergence of collaborative behaviors between the agents and achieve global optimized operation among the devices. We claim that the design of a system that learns how to control the flow, is simpler than the design of the control scheme and will yield a more robust scheme. The learning of formation flying among aircraft and of wake alleviation between wind turbines will constitute our study cases. The investigation will essentially be carried by means of large-scale numerical simulations; such simulations will produce the first ever realizations of self-organized systems in a turbulent flow. We will then apply our learning frameworks to a small-scale wind farm.

Keywords: aircraft wakes,wind turbine wakes,turbulence,flow control,wind farms
Innovative Optical/Quasioptical Technologies and Nano Engineering of Anisotropic Materials for Creating Active Cells with Substantially Improved Energy Efficiency (IMAGE)

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: Information Science and Engineering
Countries involved: Germany,Ukraine,Germany,Poland,Poland,France
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2017, 2017)
Start date: 2018-02-01
End date: 2024-07-31
Duration (months): 78.0
Total project cost (EUR): 1692000.0
EU funding (EUR): 1692000.0
Participants: 9
Project status: SIGNED

The principal goal of the project is to combine research expertise in optics, crystallography and material science with efforts in material engineering to go beyond state-of-the-art in the development of highly efficient energy saving optical cells based on electro-, acousto- and nonlinear optical effects and designed to operate in optical and quasi-optical (sub-THz) ranges. The idea of the project arises from recent advances in nano engineering combined with our technology for optimization of effects in anisotropic materials. We aim to benefit from enhanced anisotropic features, considering both materials with natural anisotropy and those with created and/or tailored anisotropy. Background will be developed by calculating parametric effects tensors for selected crystalline materials. Then, two routes to create samples characterized by the highest figures of merit will be implemented. 3D anisotropy analysis approach will be used for finding global extremes of effects under study and will provide technical information needed to manufacture novel nanocomposites with tailored anisotropy. Nanoengineering approach will be based on growing of nanocrystallites along preferable directions and incorporating them into porous host medium. It is expected to achieve considerable improvements of the operating energy characteristics for bulk and nanocomposite materials. It is planned to reach the proof of concept stage for the optical cells with improved performance and compare their characteristics to those, available on the market. Measures will be undertaken for developing the concept into innovative products. The research will be linked to the large-scale training program for the Seconded Staff Members with specific individual objectives. Based on synergies between all participating organizations and networking activities we expect to increase Europe's attractiveness and competitiveness as leading destination for R&I, particularly in optic/nanoengineering research niche.

Keywords: optical and quasi optical technologies,3d anisotropy analysis,crystalline nanocomposite with tailored anisotropy,electro,acousto optic and nonlinear optical cells
VErified STAtic analysis platform (VESTA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: France
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-09-01
End date: 2023-08-31
Duration (months): 60.0
Total project cost (EUR): 1885566.0
EU funding (EUR): 1885566.0
Participants: 2
Project status: CLOSED

Computer software pervades our life but far too much of it contains programming errors (bugs). Software is more and more complex and such errors are unavoidable if programmers are not accompanied with some tools that help auditing software codes. Static analysis is an increasingly popular technique that aims at automatically compute properties of software. These properties then help finding bugs, or proving absence of them. Industrial static analysers are flourishing. Facebook, Google, Microsoft develop their own static analysis tools to help maintaining their huge code base. Critical software industry (aircraft, railways, nuclear, etc.) has embraced the use of advanced static analysis tool as Astrée to companion and sometimes, ligthen their traditional software validation campaigns based on meticulous testing and reviews. Unfortunately, designing advanced static analyses like Astrée requires a very rare expertise in Abstract Interpretation, a foundational landmark in the research area, and implementing these ideas efficiently and correctly is specially tricky. The VESTA project will propose guidance and tool-support to the designers of static analysis, in order to build advanced but reliable static analysis tools. We focus on analyzing low-level softwares written in C, leveraging on the CompCert verified compiler. This compiler toolchain is fully verified in the Coq proof assistant. Verasco is a verified static analyser that I have architected. It analyses C programs and follows many of the advanced abstract interpretation technique developped for Astrée, but it is formally verified. The outcome of the VESTA project will be a platform that help designing other verified advanced abstract interpreters like Verasco, without starting from a white page. We will apply this technique to develop security analyses for C programs. The platform will be open-source and will help the adoption of abstract interpretation techniques.

Keywords: program verification,proof assistant,semantics,programming langages