Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
NANO-scale VIsualization to understand Bacterial virulence and invasiveness - based on fluorescence NANOscopy and VIBrational microscopy (NanoVIB)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Germany,Germany,Sweden,Switzerland
Call: Disruptive photonics technologies (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 5635530.0
EU funding (EUR): 5635529.0
Participants: 6
Project status: SIGNED

In an interdisciplinary project, we will prototype a next-generation super-resolution microscope (SRM) and demonstrate its capability to bring about a major leap forward in our understanding of inter- and intracellular processes, and thus the cellular origin of diseases. Based on the recently invented MINFLUX concept, which pushes spatial resolution an order of magnitude beyond any other SRM technique, and by concerted development of detector technologies, lasers and image acquisition procedures, we will be able to retrieve information, not within reach by any other photonics-based technique. By extending operation to the near infrared, a hitherto un-accessible spectral range for SRM, we will strongly reduce phototoxicity and scattering, increase penetration depth and provide an additional spectral window for multiplexing. The developed prototype will allow nanometer-scale protein localization patterns to be resolved and to be placed in a cellular context by overlaid morphological, biochemical and metabolic images generated by label-free stimulated Raman scattering (SRS) and two-photon excitation (TPE). In a lead application, we will use the unique capabilities of the to-be-developed technology to study the molecular mechanisms underlying pneumococcal disease, largely attributed to localization patterns of specific bacterial surface proteins, and their intricate interactions with immune and host target cells. Pneumococci are a major contributor to morbidity and mortality worldwide and we aim to provide vital information which can lead to new treatments and vaccines. We will also offer hands-on access to the technology to researchers from both academia and industry in an open demonstration facility. Together with the lead application, this will generate demand for microscopes, lasers and detectors, which the industrial partners will develop subsequent to this project based on the prototypes, further strengthening Europe´s industrial position in the microscopy field.

Keywords: super resolution microscopy,minflux,fluorescence,stimulated raman scattering,pneumococci,virulence,invasiveness
Advanced Data and power Electrical NEtwork Architectures and Systems (ADENEAS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Ireland,Switzerland,Czechia,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom
Call: Innovative electric network architectures and systems, optimising global energy, electrical power, data and communication for aviation (H2020-MG-2020-SingleStage-INEA, 2020)
Start date: 2021-02-01
End date: 2024-01-31
Duration (months): 36.0
Total project cost (EUR): 4018012.75
EU funding (EUR): 4018012.75
Participants: 10
Project status: SIGNED

More Electric and Connected Aircraft (MECA) is one of the most promising enablers to reach Flightpath 2050. But MECA asks for more electrical systems, which exchange more data which can be safety critical, and consume more electrical power leading to higher thermal dissipation. This leads to complexity, weight penalty and increased exposure to intended (cybersecurity) and unintended (ElectroMagnetic Compatibility) interference. Overcoming these barriers requires an interdisciplinary cooperation and, in this context, the ADENEAS project emerged, aiming at paving the way for a safe, light, self-configuring, autonomous and modular power and data distribution network that is scalable to all aircraft sizes. To achieve this long-term objective, ADENEAS will define new architecture concepts, develop advanced Artificial Intelligence-based design tools, enabling technologies for intra-aircraft data communication and for power network and a cooling system. The project will also demonstrate the integration of the data and power network and cooling system, initiate standardisation activities and ensure commercial viability. To achieve these objectives, ADENEAS will start from solid foundation of partner’s background, previous and ongoing R&D activities and will implement a stepwise approach from the definition of requirements and reference case (for small, medium and large aircraft) up to the assessment and evaluation of the developed, tested and demonstrated technologies. This includes strong involvement of an Industrial Advisory Board as well as standardisation perspective. The ADENEAS future proof power and data network, scalable to all aircraft size, will support the Flightpath 2050 objective by allowing to save 0.7% block fuel burn and >156,000 kg of CO2 emitted per aircraft per year and secondary by optimizing maintenance and providing novel technologies to be deployed for increased passenger experience.

Keywords: intra aircraft data communication network,power distribution network,cooling solutions,power electronics,ai based design
Intelligent Bearing (iBearing)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Germany,United Kingdom,Portugal
Call: Instrumented bearing for oil cooled starter/generator (H2020-CS2-CFP01-2014-01, 2014)
Start date: 2016-03-01
End date: 2018-04-30
Duration (months): 26.0
Total project cost (EUR): 500276.25
EU funding (EUR): 500276.25
Participants: 3
Project status: CLOSED

Bearing condition monitoring is an important task in any rotary machine application, given that a bearing is a Single Point of Failure that can lead to catastrophic failure of an entire system. A variety of scenarios can arise from a bearing failure, ranging from only a little monetary loss to hard human fatalities. Accordingly to the risk presented by each system, a wide set of monitoring techniques may be considered, from a simple periodic monitoring routine, usually performed locally by an operator, to a permanently online system that triggers warnings or alarms when a fault is detected on a bearing. The ultimate aim of iBearing is to monitor the bearing in real-time, and directly in the structure of the bearing, being subjected to the same surrounding harsh environment defined by oil lubricant and high temperatures. Moreover, the proposed system will apply an advanced data fusion algorithm capable of integrating sensorial data from several sources simultaneously, namely temperature, low frequency accelerations, acoustic emission waves, and quality of the lubricant, in order to calculate the most reliable prediction of the time to failure, without intervention of any testing operator. The consortium composed by Active Space Technologies, Cranfield University, and Schaeffler intend study the best solutions to achieve the iBearing goal. The selected solutions will be designed, implemented and tested on the Schaeffler test rigs, in the framework of the present activity. The final iBearing product will be a miniaturized and integrated piece of equipment to install in any bearing, just requiring minimal adaptations to the shape of new bearings.

Keywords: hums,harsh environment,high temperature,data analysis,data fusion,real time operation,bearings
Atmospheric Pressure plAsma meets biomaterials for bone Cancer HEaling (APACHE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Spain
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-04-01
End date: 2022-12-31
Duration (months): 69.0
Total project cost (EUR): 1499887.0
EU funding (EUR): 1499887.0
Participants: 1
Project status: CLOSED

Cold atmospheric pressure plasmas (APP) have been reported to selectively kill cancer cells without damaging the surrounding tissues. Studies have been conducted on a variety of cancer types but to the best of our knowledge not on any kind of bone cancer. Treatment options for bone cancer include surgery, chemotherapy, etc. and may involve the use of bone grafting biomaterials to replace the surgically removed bone. APACHE brings a totally different and ground-breaking approach in the design of a novel therapy for bone cancer by taking advantage of the active species generated by APP in combination with biomaterials to deliver the active species locally in the diseased site. The feasibility of this approach is rooted in the evidence that the cellular effects of APP appear to strongly involve the suite of reactive species created by plasmas, which can be derived from a) direct treatment of the malignant cells by APP or b) indirect treatment of the liquid media by APP which is then put in contact with the cancer cells. In APACHE we aim to investigate the fundamentals involved in the lethal effects of cold plasmas on bone cancer cells, and to develop improved bone cancer therapies. To achieve this we will take advantage of the highly reactive species generated by APP in the liquid media, which we will use in an incremental strategy: i) to investigate the effects of APP treated liquid on bone cancer cells, ii) to evaluate the potential of combining APP treated liquid in a hydrogel vehicle with/wo CaP biomaterials and iii) to ascertain the potential three directional interactions between APP reactive species in liquid medium with biomaterials and with chemotherapeutic drugs. The methodological approach will involve an interdisciplinary team, dealing with plasma diagnostics in gas and liquid media; with cell biology and the effects of APP treated with bone tumor cells and its combination with biomaterials and/or with anticancer drugs.

Keywords: biomaterials,biomaterials synthesis,plasma physics
Aircraft Electrical Model Simulation Identification and Fitting Toolbox (AEMS-IdFit)

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
Call: Electrical simulation model identification method and tool (H2020-CS2-CFP04-2016-02, 2016)
Start date: 2017-07-01
End date: 2020-06-30
Duration (months): 36.0
Total project cost (EUR): 331250.0
EU funding (EUR): 331250.0
Participants: 1
Project status: CLOSED

The AEMS-IdFit (Aircraft Electrical Model Simulation Identification and Fitting Toolbox) project addresses the requirement for developers of future MEA aircraft to select technologies and to test, verify and validate electrical system architectures. The limitations of weight and space are important, so there is a need to test, verify and validate reliable, efficient and cost-effective architectures and a wide range of operating conditions. The general objective of the AEMS-IdFit project is to adapt and develop generic models of aircraft electrical systems to reproduce the response from experimental measurements and manufacturers design data under different operating conditions, giving a full-representation of electrical systems dynamics. These models are based on the right knowledge of a set of parameters in such a way that, based on experimental data, reliable parameter identification and fitting methods will be selected and developed according to its complexity. Taking into account the wide range of the devices operating conditions, mapping algorithms will be developed as well, in order to generalize the parameter calculation taking into account the dependence of the parameters on the operating conditions. On the other hand, methods to optimize the parameter model updating process will also be developed.

Keywords: aircraft electrical system,saber rd,electrical network,parameter optimization,fitting methods,optimization,simulation
Integration of knowledge and biobank resources in comprehensive translational approach for personalized prevention and treatment of metabolic disorders (INTEGROMED)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Israel,Sweden,Latvia,United Kingdom
Call: Twinning (H2020-WIDESPREAD-2018-03, 2018)
Start date: 2019-10-01
End date: 2023-03-31
Duration (months): 42.0
Total project cost (EUR): 800000.0
EU funding (EUR): 800000.0
Participants: 4
Project status: CLOSED

INTEGROMED is aiming to provide LBMC with the opportunity to integrate the experience of research excellence institutions and existing resources by creating a research and innovation network with three internationally leading organizations in the translational medicine area – University of Dundee, Lund University, and Weizmann Institute of Science. The strategy of INTEGROMED is to increase excellence and develop sustainable approach targeting virtually all aspects of translational medicine including the optimal use of clinical and biobank resources, integration of different omics in systemic workflow, reaching development of bedside applications and fostering entrepreneurism. Project has a strong focus on study of metabolic disorders including type 2 diabetes, however the training, mentoring and stuff exchange activities as well as practical outcomes will be available for other fields including researchers, clinicians and other stakeholders in Latvia, promoting the implementation of the developed strategies at larger scale. The result of project will be accomplished by following three main objectives. (1) To improve and optimize the use of resources provided by large biobanks and prospective cohorts in combination with national health care system, improve knowledge in establishment of clinical studies for development of precision medicine approaches. (2) To strengthen collaboration-based training of specialists in areas of multi-omics approaches, bioinformatics, and modelling to increase excellence in implementing cutting edge multi omics technologies in such areas as genomics, methylation and expression profile, microbiome and metabolome analysis. (3) To elaborate a long-term strategy and sustainability plan involving all relevant stakeholders, ensure development and training in clinical applications and entrepreneurial skills to build an innovation ecosystem around LBMC.

Keywords: data integration,biobanks,metabolic disorders,precision medicine,translational medicine,omics data,clinical studies
RELIability of product Environmental Footprints (RELIEF)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Industrial Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Germany,Norway,United States,Netherlands,Netherlands,United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-EID) (H2020-MSCA-ITN-2014, 2014)
Start date: 2015-01-01
End date: 2018-12-31
Duration (months): 48.0
Total project cost (EUR): 1276871.4
EU funding (EUR): 1276871.4
Participants: 8
Project status: CLOSED

To move towards a more sustainable world there needs to be a systematic change in the consumption of resources driven by informed decision-making and policies. Life Cycle Assessment (LCA) is widely accepted as a tool for supporting decisions on environmental footprints. However, it is also acknowledged that the reliability of state-of-the-art LCA needs to be improved as uncertainty and variability are generally not addressed. The importance of improving the reliability of environmental footprinting is currently recognised in the Product Environmental Footprinting approach and in the recommendations of the European Resource Efficiency Platform. This European Industrial Doctorate proposal (RELIEF), a cooperation between Radboud University and Unilever as partners and the Norwegian University of Science and Technology, Stanford University, University of Surrey, Ostfold Research, GreenDelta and the International Union for Conservation of Nature as associate partners, offers a unique international and multidisciplinary training environment for early-stage researchers (ESRs) to improve the reliability of the environmental footprinting of products. RELIEF will develop new models to reduce uncertainty throughout the value chain. Developing these models requires a multidisciplinary approach. Four ESRs will work on different topics, i.e. improving the reliability of product footprints related to energy (carbon), land, chemicals and water. The fifth ESR will work on macro-scale environmental models, in order to incorporate cross-cutting issues from the other four ESRs. Each ESR will receive broad, high-level training in scientific and general skills as well as personalized training. The training will be delivered by a combination of courses, as part of their own research and via learning in business and academia. The RELIEF project will deliver not only novel methods, but also researchers with state of the art skills and environmental footprinting knowledge.

Keywords: life cycle assessment,product environmental footprints,uncertainty,variability
Sensation and inferences in perception, metacognition and action (SENCES)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-07-01
End date: 2026-06-30
Duration (months): 60.0
Total project cost (EUR): 1996738.0
EU funding (EUR): 1996738.0
Participants: 1
Project status: SIGNED

The perceptual experience of humans is seamless, although there are major spatial gaps in the available sensory information due to internal (e.g. absence of photoreceptors in the blind-spot) or external reasons (e.g. occlusion by other objects). While the contents of these sensory gaps seem to be completed by inferences, it is unknown how those inferences are dealt with in further processing compared to veridical sensory information. Recently, we and others showed that inferred information is preferred over sensory information in metacognition. This contradicts one of the axioms of current thinking about human information processing, according to which information is weighted by its reliability. SENCES aims to investigate the processing and usage of inferred information in comparison to veridical sensory information. First, we will use psychophysical and behavioral experiments to understand the role of inferences in perception, metacognition and action. Second, we will use EEG to distinguish between different models concerning the neural processing of inferences. Third, we will assess the role of inferences in pathological retinal scotomata and their plasticity along three time scales: across the lifespan by comparing healthy observers and patients experienced with missing sensory information due to long-term visual disorders; in the mid-term by studying the progression of pathological retinal scotomata in patients; in the short-term by training healthy observers with artificially missing sensory information. SENCES will provide crucial insights into how a seamless perceptual experience is constructed and how it is shielded from gaps in sensory information. Studying different phenomena of perceptual completion will allow for the discovery of general principles. Finally, it will uncover positive and negative consequences of perceptual completion in pathological scotomata and might point towards new approaches for early diagnosis and behavioral treatment.

Keywords: perception,metacognition,action control,perceptual inferences,scotomata,clinical ophthalmology
Evolution of virulence in immune-compromised hosts and the adaptation of emerging viruses (EvolVir)

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: 2017-07-01
End date: 2019-06-30
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Understanding pathogen evolution is key to predicting and managing disease emergence. While theory predicts that strong immune responses will generally select for increased pathogen virulence, current work mostly ignores the effect of immune-suppressed hosts on virulence evolution and on pathogen adaptation to novel hosts during disease spread. Further, the underlying genetic basis of the evolutionary change, that is, the genomic targets of selection, is seldom detected. I will apply a novel experimental approach by evolving the viral pathogen Drosophila C Virus (DCV) in its natural host Drosophila melanogaster, using host lines that are either immune-competent or immune-compromised due to the inactivation of specific immune genes. In addition to assessing changes in the evolution of virulence in these host lines (i.e. viral growth rate and host mortality), I will also take an evolve-and-resequence approach, using ultra-deep sequencing of the viral populations during experimental evolution. Using these uniquely detailed sequence data I will (i) identify the region of the viral genome under selection, (ii) determine if rapid virus adaptation is dependent on the fixation of new mutations or changes in viral variant frequencies from standing genetic variation and (iii) measure the rate of repeatability of pathogen adaptation in identical selective regimes. This work will test the role of immune-compromised hosts on the evolution of pathogen virulence, and also dissect the mechanisms that underpin pathogen evolution during adaptation to hosts with variable immune responses.

Keywords: evolution,adaptation,virulence,rna viruses