Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Unraveling nanosecond motions in nucleic acids with high-resolution relaxometry: how dynamic is nicked DNA? (HRRinDNAwithSSB)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: SIGNED

What role do conformational dynamics play in DNA function and repair? Structures of DNA show local dynamics, conformational flexibility of bases, and large conformational changes in the double helix, indicating easily accessible motions. Yet studying fast motions in nucleic acids is challenging. To address this we will introduce High Resolution Relaxometry (HRR) and apply it to study single strand breaks (SSBs) in DNA. Nucleic acids are often studied at atomic resolution with X-ray crystallography and high-field Nuclear Magnetic Resonance (NMR). Yet neither is suitable to study ns-motions. X-ray crystallography does not report on dynamics while using high-field NMR leads to high resonance frequencies so little ns time-scale information is present. This presents a challenge: how to characterise fast motions in nucleic acids? We will develop a new methodological approach, HRR, to probe ns-motions in DNA. HRR was developed by the host team to study ns-motions in proteins. We will adapt these methods to investigate motions in DNA. We will compare dynamics occurring in intact DNA, DNA with a SSB and SSB DNA with a missing base. Understanding the motions in each DNA construct will establish the effects that each type of DNA damage have on the motional properties of DNA. This will elucidate how each type of damage affects the base pair stacking and the motions occurring at the breakpoint. Understanding the flexibility induced by DNA damage will have a significant role in understanding DNA repair and how damaged DNA is recognised. The DNA repair protein, PARP-1, is a cancer-drug target and recognizes SSBs. Our final objective is to uncover the role of DNA motions in SSB recognition by PARP-1. In summary we will develop HRR as a new method to investigate ns-motions in DNA, providing a general approach to study ns-motions in nucleic acids at atomic resolution. We will discover the fundamental motions in DNA, how they are affected by SSBs and lead to recognition by PARP-1.

Keywords: high resolution relaxometry,dna dynamics,single strand breaks,nuclear magnetic resonance,dna repair
Flare Likelihood and Region Eruption Forecasting (FLARECAST)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: Research and Innovation actions
Countries involved: Ireland,Italy,Italy,Switzerland,Greece,France,France,United Kingdom,United Kingdom
Call: Space Weather (H2020-PROTEC-2014, 2014)
Start date: 2015-01-01
End date: 2017-12-31
Duration (months): 36.0
Total project cost (EUR): 2416651.25
EU funding (EUR): 2416651.25
Participants: 9
Project status: CLOSED

Space weather can have detrimental, and in some cases catastrophic, effects upon a multitude of technologies on which we depend as part our daily lives. Adverse space weather is now known to result from solar flares and coronal mass ejections released from the turbulent and highly complex magnetic fields of active regions. Understanding how active region magnetic fields evolve and produce these events is therefore of fundamental importance to developing accurate and reliable space-weather monitoring and forecasting capabilities. We therefore propose to develop an advanced flare prediction system (Flare Likelihood And Region Eruption Forecasting; FLARECAST) that is based on automatically extracted physical properties of active regions coupled with state-of-the-art flare prediction methods and validated using the most appropriate forecast verification measures. Active region properties, such as area, magnetic flux, shear, magnetic complexity, helicity and proxies for magnetic energy, will be extracted from solar magnetogram and white-light images in near-realtime using advanced image-processing techniques. Once active region properties have been extracted, they will be correlated with solar flare activity and used to optimize prediction algorithms based on statistical, unsupervised clustering and supervised learning methods. This will enable us to validate our image processing and flare prediction algorithms before launching a near-realtime flare forecasting service, the first of its kind in the world. FLARECAST will therefore form the basis of the first quantitative, physically motivated and autonomous active region monitoring and flare forecasting system, which will be of use to space-weather researchers and forecasters in Europe and around the globe.

Keywords: solar flare forecasting prediction service dissemination
Cloud Collaborative Manufacturing Networks (C2NET) (C2NET)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Spain,Finland,Finland,Belgium,Finland,Slovakia,France,France,France,Portugal,Portugal,Portugal,Portugal
Call: Process optimisation of manufacturing assets (H2020-FoF-2014, 2014)
Start date: 2015-01-01
End date: 2017-12-31
Duration (months): 36.0
Total project cost (EUR): 7126495.0
EU funding (EUR): 7126494.75
Participants: 22
Project status: CLOSED

The goal of C2NET Project is the creation of cloud-enabled tools for supporting the supply network optimization of manufacturing and logistic assets based on collaborative demand, production and delivery plans. C2NET Project will provide a scalable real-time architecture, platform and software to allow the supply network partners: to master complexity and data security of the supply network, to store product, process and logistic data, to optimize the manufacturing assets by the collaborative computation of production plans, to optimize the logistics assets through efficient delivery plans and to render the complete set of supply chain management information on the any digital mobile device (PC, tablets, smartphones, …) of decision makers enabling them to monitor, visualize, control, share and collaborate. The Project results will be: i) the C2NET Data Collection Framework for IoT-based continuous data collection from supply network resources; ii) the C2NET Optimizer for the optimization of manufacturing and logistics assets of the supply network by the collaborative computation of production, replenishment and delivery plans; iii) the C2NET Collaboration Tools for providing support to the collaborative processes of the supply network, and iv) the C2NET Cloud Platform (C2NET CPL) to integrate the data module, the optimizers and the collaborative tools in the cloud. C2NET will be designed to comprehensively cover the entire supply chain considering all stages of manufacturing, distribution and sales to supply a product to market. Different actors in the supply network as plant managers, planners, carriers, shop floor workers, shop assistants or customers are potential users of the services that will be offered by C2NET. A distinguishing feature of these services is to have complete visibility and real-time status of the entire supply chain at all times looking for an optimal response to maximize both local and global benefit

Keywords: cloud platform,data collection framework,optimizer,collaboration tools,supply network
Novel Imaging of the heart for new structural and metabolic diagnosis (ANATOMY-FOUND)

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: 2017-02-01
End date: 2019-01-31
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

Each year cardiovascular disease (CVD) causes over 4 million deaths in Europe. Predictions suggest that 80% of premature heart disease and stroke is preventable, but ~20% of CVDs are misdiagnosed, and in elderly patients up to 60% of CVDs remain undiagnosed. We need to develop new technologies and strategies for early and accurate diagnosis of the biggest killer in western society. Currently, diagnosis of CVD is based on assessment of macro-anatomy, whole heart function, and whole body metabolic markers. Early CVD processes begin in heart cells, before evolving to the ’macro’ pathology recognisable by traditional techniques. Clinicians desire a non-invasive technique that can provide high-resolution 3D micro-anatomy, and organ specific regional metabolic assessment. However the intricate micro-anatomy of the heart and its dynamic relationship with cardiac function is still fiercely debated. To elucidate the true micro-anatomy of the heart, and understand its correlation with both pump- and metabolic function in health and disease, I will investigate the following questions: 1)What is the true micro-anatomy of the heart, and how is it remodelled in disease? 2)What is the role of 3D micro-anatomy in 4D pump function? 3)Does micro-anatomical remodelling correlate with regional changes in metabolism? Using novel state-of-the-art non-invasive 3D and 4D ex-vivo and in-vivo imaging methodologies, I will answer these questions. We will finally understand the micro-anatomy of the heart in 3D, and its relationship with cardiac contraction and metabolism in disease. I hypothesise detecting and correlating novel morphological and metabolic changes upstream of the macro-anatomical and non-specific metabolic changes identifiable by traditional techniques, will offer the foundation for a step-wise change in diagnosis of CVD. Working with world-renowned researchers, I will develop interdisciplinary skills in functional cardiac imaging to support a productive career in academia.

Keywords: heart,micro anatomy,myocyte orientation,micro computed tomography,synchrotron computed tomography,diffusion tensor magnetic resonance imaging,dynamic nuclear polarisation magnetic resonance
Microalgae As a Green source for Nutritional Ingredients for Food/Feed and Ingredients for Cosmetics by cost-Effective New Technologies (MAGNIFICENT)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Public-private partnerships
Destination: Bio-based Industries
Action type: Research and Innovation actions
Partnership: BBI (Art-187)
Countries involved: Germany,Germany,Spain,Spain,Belgium,France,France,France,Netherlands,Netherlands,Portugal,Portugal,United Kingdom,Portugal,Portugal,Portugal
Call: Exploiting algae and other aquatic biomass for production of molecules for pharma, nutraceuticals, food additives and cosmetic applications (H2020-BBI-JTI-2016, 2016)
Start date: 2017-06-01
End date: 2021-11-30
Duration (months): 54.0
Total project cost (EUR): 5685015.41
EU funding (EUR): 5330259.16
Participants: 18
Project status: CLOSED

Today there are only market opportunities for high value applications due to production costs, which are still too high to make microalgae a competitive feedstock for commodities. There is presently a large production capacity for a limited number of microalgae strains in Europe. However, the number of concrete products and market applications is still limited. The enlargement of current market applications for high-value microalgae ingredients will lead to new business opportunities, industrialize the technology and provide the knowledge and experience required to enter the medium- low value market within 5-10 years. MAGNIFICENT will expand the range of commercial products and their market volume substantially and in a sustainable manner. The overall objective of the project is to develop and validate a sustainable and economically feasible new value chain based on cultivation and processing, with the aim to transform microalgae biomass into valuable ingredients for food, aquafeed and cosmetics applications. Development and validation of new product formulations of microalgae are included in the project To achieve this, optimization will be done: 1) Upstream, cultivation related processes via adaptation and selection of algae varieties, improvement of growing conditions and target product concentration in the cell and 2) downstream process steps (separation, extraction, purification) in order to achieve the overall aim to maximise the production of compounds of interest (phospholipids rich in omega-3 fatty acids EPA and DHA and fucoxanthin as main molecules). The work will be supported by chain evaluation, market assessment, socio-economic impact assessment and LCA. Specific attention will be paid to the requirements of the existing EU regulatory framework. The MAGNIFICENT consortium has 16 partners from 7 EU countries incl. 10 SME's, 3 LE's, 1 University and 2 RTO's, and comprises commercial partners in the entire value chain and the 3 target markets.

Keywords: algae production,biorefinery,high value ingredients,food,aquafeed,cosmetics
Coordinating Optimisation of Complex Industrial Processes. (COCOP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Sustainable, resource-efficient and low-carbon technologies in energy-intensive process industries
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Germany,Spain,Spain,Finland,Sweden,Sweden,Finland,Netherlands,Denmark
Call: Plant-wide monitoring and control of data-intensive processes (H2020-SPIRE-2016, 2016)
Start date: 2016-10-01
End date: 2020-03-31
Duration (months): 42.0
Total project cost (EUR): 5898913.75
EU funding (EUR): 5898913.75
Participants: 16
Project status: CLOSED

The vision of COCOP is that complex process-industry plants are optimally run by operators with the guidance of a coordinating, real-time optimisation system. COCOP will strengthen the global position of the European process industry, which represents 20 per cent of the European manufacturing base with around 450,000 companies generating €1.6 billion in turnover and 6.8 million jobs. The project’s objective is to enable plant-wide monitoring and control by using the model-based, predictive, coordinating optimisation concept in integration with plant’s automation systems. This ambitious approach will be developed and verified in co-operation of European universities, research institutes and industry. The Consortium comprises two universities, three research organisations, the leading copper-plant technology provider, two large companies from the process industry (steel and special chemicals) and four SMEs providing automation solutions. Technical objective is to define, design and implement a concept that integrates existing industrial control systems with efficient data management and optimisation methods and provides means to monitor and control large industrial production processes. The plant-wide monitoring and control comprehend computationally intensive data analysis and large scale optimisation. The social objective is to improve operator plant-wide awareness and reduce mental workload. COCOP will liaise with standardisation bodies (automation) to ensure a sustained impact of the project’s results. Commercialisation of the solution by its process-automation industry partners will allow plant operators to approach optimal production and result in reduced energy and resource consumption, and decreased on-site material handling time and greenhouse gas emissions.

Keywords: process control,distributed control,model predictive control,optimal scheduling,data analysis,decomposition,coordination,optimisation,co creation,gamification,process automation
Smart propulsive device for controlled satellite decommissioning and reentry. (D3)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: SME instrument
Countries involved: Italy
Call: SME Instrument (H2020-SMEINST-2-2015, 2015)
Start date: 2015-12-01
End date: 2018-05-31
Duration (months): 30.0
Total project cost (EUR): 2800692.5
EU funding (EUR): 1960484.75
Participants: 1
Project status: CLOSED

Space is nowadays fundamental for our life. Most of the services we use every day are based on space assets: weather forecasting, navigation, Earth observation, security, disasters prevention and management, telecommunication. For decades, space faring Nations and private organisations have underestimated the fact that orbital space is a limited resource. As a consequence, out of the about 6,000 satellites launched since the beginning of the space age only 1,300 are operational: the remaining wander uncontrolled in the space around Earth and risk to collide against each other or against operational satellites. In addition to this, many dead satellites re-enter uncontrolled into the atmosphere, and their larger components survive to the high heat of the re-entry and may cause damage to assets on ground and persons. For these and other reasons, Space Operators start to develop methods to remove safely their satellites, pushed by international regulations issued by space agencies, international organisations (e.g. UN and IADC) and national governments. The D-3 project aims to respond to the increasing need to guarantee a safe and clean access to space for both satellite operators and manufacturers, and in general for all the stakeholders involved. This approach has already received positives feedbacks and endorsement from important space players such as ESA, NASA and ASI, as well as from both satellite operators and manufacturers. Since its establishment, in 2011, D-Orbit has developed a decommissioning device (called D3) for satellites and launcher stages, capable to remove them in a safe and controlled way at the end-of-mission or if a major failure occurs. This technology has been pushed up to a current TRL of 6. D-Orbit intends to validate the D-Orbit's decommissioning concept in Space in 2016 in D-SAT mission and to collect data, inputs and lessons learnt for updating, optimizing and fine tuning the design, the engineering and the production of the D-Orbit’s D3.

Keywords: space,space debris,decommissioning device,satellite,orbit,space mission,space collision,on board propulsion system
Development of investment casting process of nickel superalloys with enhanced weldability. (HiperTURB)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Spain,Spain
Call: Development of the investment casting process and weldability for high temperature capable superalloys (H2020-CS2-CFP04-2016-02, 2016)
Start date: 2017-06-01
End date: 2020-11-30
Duration (months): 42.0
Total project cost (EUR): 802728.75
EU funding (EUR): 699356.25
Participants: 7
Project status: CLOSED

The objective of HiperTURB is to improve the weldability and castability of high temperature capable superalloy castings. The expected impact will be linked to weight, manufacturing and maintenance cost reduction of TRF components. This objective will be achieved due to a combination of innovative chemistry adjustments, tailored casting solidification strategies, specific heat treatment and innovative welding techniques to control grain size, phases formation, segregation and residual stresses. Two new superalloy castings with enhanced weldability will be developed. At casting level mould design to control cooling gradient together with the use of inoculants, chillers and shell design will allow to tailor casting solidification. Heat treatment stage will be adjusted in terms of pre and post welding operation sequence (HIP + solution annealing), processing parameters and the introduction of cryogenic heat treatment. Weldability assessment of two new alloy castings will be assessed by standard hot cracking tests and simulated repair and structural welds on simple parts and real geometry-like components. Both TIG and laser based welding processes will be investigated. Development process will be supported by advanced simulation techniques based on Thermocalc, Dictra, Procast that will enable a more precise approach on final alloy microstructural and castability results. The castability of the alloys will be validated by the design of specific test samples that will be checked to detect casting defects such as shrinkage, hot tearing sensitivity.... Evaluation of internal and external defects will be carried out by non-destructive tests. Mechanical properties of alloys under development such as creep and tensile test at low and high temperature will be performed. Component like geometry cast parts will be manufactured at the end of the project, testing their final properties in terms of castability and weldability.

Keywords: in718,uhpe,chillers,predictive modeling,hot cracking,weldability,castability,superalloys,heat treatment,inoculation,hot tear sensibility,investment casting
INnovative SmarT Electric Power Distribution (INSTEP)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: France,France,United Kingdom
Call: Power Distribution (H2020-CS2-CFP03-2016-01, 2016)
Start date: 2017-02-01
End date: 2023-01-31
Duration (months): 72.0
Total project cost (EUR): 2087620.0
EU funding (EUR): 1707445.0
Participants: 3
Project status: SIGNED

The INSTEP Consortium will bring together their world-leading expertise in aircraft Electrical Power Systems (EPS) and Power Electronics (PE) in order to design, develop, manufacture, test and provide qualification for flight of an innovative Power Distribution Units (PDUs) for safe control and protection of both High-Voltage Direct Current (HVDC) and Low-Voltage Direct Power (LVDC) electrical generation systems. This will be a key component in the creation and demonstration of a Next Generation Civil Tilt Rotor aircraft. The INSTEP Consortium will combine their world-leading expertise in the technical areas of PE and PE conversion, power distribution, aircraft EPS topologies, smart-girds and their control, as well as in modelling and simulation, together with world-recognised expertise in manufacturing, testing and qualification of EPDS for aerospace applications in order to enable a step change in the design and development of future aircraft electrical PDUs by introducing innovative technological solutions, making them “smart”, safe and more efficient, hence contributing towards more efficient, greener aviation. Due to the leading role played by both the INSTEP partners, University of Nottingham and Zodiac Aerospace, in the International Aerospace Standards Committee for Aircraft Electric Systems (SAE AE-7), INSTEP results will be integrated into the development of future standards for aircraft EPS architectures and concepts. This demonstrates the international impact of the project in addition to enabling further developments in the FRC IADP by development and implementation of the power distribution centres, Topic FRC-01-09. In January 2020, Zodiac is replaced by SEP due to partial takeover.

Keywords: power electronics,power conversion,power distribution,hvdc