Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
a versatile Platform foR delivering incremental, scalable and cOst-effective ad-hoc services froM hETErogeneoUS and collaborating objects in the Internet Of Things (PROMETHEUS-IOT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Italy
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2015, 2015)
Start date: 2015-09-01
End date: 2016-02-29
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

moltosenso (MTS) is the first firm in the WSAN-IoT (Wireless Sensor and Actuator Network–Internet of Things) landscape having addressed the problem of delivering highly ad-hoc customized monitoring systems to a plurality of vertical markets. By proposing a cost effective IoT solution, MTS aims at turning PROMETHEUS-IOT into the most used versatile WSAN platform available on the market. Considering global IoT market expectations hitting 7.1T€ by 2020, MTS ambition is to set a standard in this market with an increasing share of 0.5% in 5 years. As a multi-standard and scenario platform, PROMETHEUS-IOT is creating an ecosystem of providers and developers, empowering a multi-perspective use. PROMETHEUS-IOT use can be meaningful to the definition of a new era, where always-connected smart objects will pervade everyone’s daily life, under two perspectives: a) B2B, by means of turnkey, well-designed, end-to-end systems; b) B2C, thanks to patented easy plug&install feature, that will allow addressing home consumers. Given its in house platform whole development, uniquely MTS is able to refine customized versions for each business trajectory identified. Differently from its competitors it can offer a full Big Data exploitation, turning raw data into services. The platform ongoing applications (structural monitoring at the Holy Shroud chapel (ITA), Separate Waste Collection Optimization Cycle (ITA), Smart Lighting (US), smart home (ITA), DIY/Makers attention, etc) are proofs that the platform is gaining adopters in lots of heterogeneous scenarios. These figures helped strengthening MTS online presence and markets confidence by pushing its expectations towards 50.000+ downloads and an aggregated value of 224.464 contracts closed by 2019. The feasibility study will help validating the soundness of the results achieved and at the same time consolidating the platform against complications brought by heterogeneous/conflicting requirements set by real word application.

Keywords: internet of things,smart networked objects,wsan,wireless sensor networks,vertical markets,plugandplay,hot plug,modular platform,monitoring control,service interoperability,ecosystem
Improving Resource-efficiency in Manufacturing (LCE-Tool)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-12-01
End date: 2019-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

With LCE-Tool, we aim to disrupt the production machinery industry, by commercializing a tool to improve resource efficiency in manufacturing, via time efficient prediction and analysis of energy and material flows in the manufacturing and use phase. The manufacturing industry contributes to 20% of EU’s resource and energy demand, with high influence on the resource and energy efficiency properties of the produced products. Quantifying the energy/heat waste and identifying where the losses take place is key to increase energy and materials efficiency. Although there are numerous simulation tools towards this direction, the root casualties of each system’s energy demand cannot be yet identified, as the existing solutions provide limited information about the interconnection between manufacturing process of the machine, the final product and product performance during the use phase (trade-off limited quantification, inability to identify the stage of every loss). LCE-Tool is the first life-cycle engineering software, allowing the sustainable design and operation of production machines, through a holistic evaluation of machine’s performance during both the design stage (machine producer) and the procurement process of new machines (machine user). Thus, we are able to decrease the power demand and the material consumption by 25% during the manufacturing process and enable the creation of virtual prototypes of high accuracy, providing up to 50% enhanced time and cost efficiency, as there is not more need for multiple expensive physical prototypes. At ZÜST, we have high expertise in systems engineering, eco-design and project management. With LCE-Tool we aim to become a pioneering software company offering novel simulation solutions. Through this project we aim to create at least 20 new job positions. With a Phase 2 investment of €1.22M, this would imply a Return of Investment of 4.8

Keywords: machine industry,software,energy efficiency,resource efficiency
Biophysical Properties of the Neuronal Cytosol and their Dynamics upon Nutrient Starvation, Aging, and in Neurodegenerative Diseases. (NeuroFreezing)

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: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-06-01
End date: 2022-08-11
Duration (months): 24.0
Total project cost (EUR): 203149.44
EU funding (EUR): 203149.44
Participants: 1
Project status: CLOSED

The material properties of the cytosol control the biochemistry of the cell and influence all molecular interactions by regulating rates of intracellular diffusive transport. Despite this critical role, these properties remain poorly understood, and it is unclear to what extent the cytosol is homogeneous, whether there are differences between cell types, and if these properties are stable or dynamic. It has recently been discovered that yeast cells regulate their cytosolic properties in response to stress, namely glucose-starvation and aging. These stresses result in a decrease in cell volume and an increase in cytosolic crowding, inducing widespread phase separations and aggregation of polyglutamine (polyQ)-proteins. This type of polyQ-protein aggregation is the molecular hallmark of neurodegenerative diseases like Huntington's Disease (HD), and is very poorly understood. In this project, I will produce the first description of the biophysical properties of the neuronal cytosol, and I will directly test whether aged or nutrient-deprived neurons, or neurons from an HD mouse model exhibit changes in these properties. I propose that viscosity and density of mammalian cells, and in particular neuronal cells, are dynamic properties that can be actively regulated in response to environmental changes. In particular, I will test two hypotheses: - H1: Nutrient starvation and aging induce changes to the material properties of the neuronal cytosol. - H2: A neuronal stress-response upon starvation or aging is sufficient to trigger aggregation of polyQ-proteins. Combining state-of-the-art techniques and expertise in the fields of neurobiology, metabolism, and biophysics, my investigation of these novel and potentially paradigm shifting hypotheses could fundamentally alter our understanding of the material properties of the neuronal cytosol, and ultimately reveal new therapeutic strategies for the most common inherited neurodegenerative disorders.
GreenTRIBOS (GreenTRIBOS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Joint Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Sweden,Slovenia,United Kingdom,Portugal
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2020-01-01
End date: 2023-12-31
Duration (months): 48.0
Total project cost (EUR): 3188498.04
EU funding (EUR): 3188498.04
Participants: 4
Project status: SIGNED

The world is warming and the weather is becoming increasingly unstable and extreme, and whether we like it or not, the overwhelming scientific consensus is that mankind’s use of fossil fuels is a key component in this climate change. Friction, wear and lubrication are major players in the consumption of energy, and so reducing friction and wear and using green lubrication is the most direct route to reducing energy consumption and pollution and so contributing to a better environment for us all. GreenTRIBOS takes up this very important challenge by developing innovative, but sustainable and green, technologies to decrease both friction and wear and improve lubrication. The 12 early-stage researchers (ESRs) will be working in three science-based work packages to develop integrative green concepts, their functional mechanisms, and lifecycle analyses to verify the sustainability, as well as quantifying the tribological performance to reduce energy consumption, resource depletion and polluting emissions. In the overarching integrative work package, the ESRs will assimilate these results into a coherent set of generic, green-tribology concepts and design rules – that will be made freely available to all – with a measurable impact on sustainability over the whole lifecycle of the system. All 12 ESRs will use complementary techniques, tools, models and approaches supported by their supervisors, research groups and non-academic mentors throughout their individual PhD-specific ESR project plans. By training the ESRs in scientific, technical and transferrable skills, they will become the next generation of high-potential scientists and engineers to instigate the step change that is required for a sustainable engineering future to serve the needs of a sustainable 21st century Europe.

Keywords: green tribology,nanotribology,lubrication,additive,friction,wear,tribochemistry,tribofilm,surface,thin film,pollution,emissions,energy,resources,life cycle analysis,sustainability
Modeling and treating retinal degenerative disease (REGENETHER)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: France
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-12-01
End date: 2020-11-30
Duration (months): 60.0
Total project cost (EUR): 1300000.0
EU funding (EUR): 1300000.0
Participants: 3
Project status: CLOSED

Gene therapy using adeno-associated viral (AAV) vectors has shown early promise in clinical trials. The therapeutic transgene cassette can be packaged in different AAV capsid pseudotypes, each having a unique transduction profile. At present, AAV capsid serotype selection for a specific clinical trial is based on effectiveness in small animal models. We (and others) have shown substantial progress in improving gene therapy for eye diseases in rodents. However, small animal studies are not often predictive of human outcome when it comes to the efficacy of viral delivery. Moreover, non-human primates used as pre-clinical animal models do not display any pathology making them unsuitable for testing efficacy. Here, I propose to overcome these bottlenecks in translational gene therapy by generating non-human primate models of retinal degeneration where effects of therapies and prosthesis on sight restoration can be tested. Generating transgenic primates using germline transgenesis would be very costly and ethically problematic. I thus propose to induce retinal disease locally, following delivery of pathogenic genes within specific subsets of cells in the non-human primate retina (Aim A). In Aim B, I propose to develop novel AAVs for use in human gene therapy using directed evolution. This bioengineering approach has yielded AAVs with enhanced delivery properties in the murine retina and applying it to post-mortem human retinas will generate AAVs responding to a clinical need in gene therapy. All together, the creation of models of disease in primates combined with novel AAVs tested in human post-mortem retinas will enable us to validate therapies aiming at vision restoration and neuroprotection in retinas with a macula and high central visual acuity, removing a major roadblock in the development of ocular therapeutics for humans.
Exploring the Universe through Strong Interactions (EUSTRONG)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Germany
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 2252375.0
EU funding (EUR): 2252375.0
Participants: 1
Project status: SIGNED

The ERC project EUSTRONG will enable major breakthroughs in understanding strong interactions in nuclei and neutron stars, and where strong interactions are essential in dark matter direct detection and neutrino physics. Recently, great progress has been made in constraining the nuclear equation of state from nuclear physics combined with neutron star observations and the neutron star merger GW170817. At the same time, ab initio calculations of nuclei using chiral effective field theory (EFT) interactions have reached nuclei with up to 100 nucleons. These successes are based in parts on developments in my past ERC Starting Grant. Taking these to the next level, we will explore the equation of state with the goal to provide first constraints directly on dense matter interactions from astrophysics, including from new NASA NICER observations. This will enable us to answer which microscopic interactions are consistent with astrophysical observations, or where there are tensions. To this end, we will develop the equation of state to high densities using Fermi liquid theory, and explore new degrees of freedom at intermediate densities. The second work package will advance the ab initio frontier to key heavy nuclei including full uncertainty quantification. This will be realized by developing eigenvector continuation and tensor network methods to the ab initio in-medium similarity renormalization group. Another milestone will explore EFTs and novel power countings for nuclei. This will open new horizons in the physics of nuclei, with global ab initio predictions of nuclear masses for r-process simulations. The third work package will derive ab initio nuclear responses for dark matter direct detection and coherent neutrino scattering, where a reliable understanding of strong interaction effects is crucial. Moreover, universal correlations and EFTs will be explored to predict nuclear matrix elements for neutrino physics.

Keywords: strong interaction,effective field theories,nuclear equation of state,neutron stars,exotic nuclei,ab initio calculations,nuclear physics of dark matter direct detection and neutrino physics
Visible Attributes through Genomics: Broadened Forensic Use of DNA for Constructing Composite Sketches from Traces (VISAGE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Spain,Germany,Poland,Poland,Sweden,France,Netherlands,Netherlands,United Kingdom,United Kingdom
Call: Forensics techniques on: a) trace qualification, and b) broadened use of DNA (H2020-SEC-2016-2017-1, 2016)
Start date: 2017-05-01
End date: 2021-10-31
Duration (months): 54.0
Total project cost (EUR): 5007778.75
EU funding (EUR): 5000000.0
Participants: 14
Project status: CLOSED

Unknown perpetrators of crime cannot be identified with the current forensic use of DNA. The VISAGE Project aims to overcome this major limitation by developing, validating, and implementing in the relevant forensic DNA service environment a set of prototype tools for predicting appearance, age, and ancestry in as much detail and as accurately, and effectively as possible from DNA traces. This VISAGE Toolkit will allow the construction of composite sketches of unknown trace donors directly from their crime scene traces, which will guide and focus criminal investigations towards finding them. The VISAGE Toolkit will include analysis prototype tools based on massively parallel sequencing for genotyping the large number of DNA predictors for appearance, age, and ancestry established within the Project, as well as an integrated statistical framework with prototype software for translating these genotype data into statistical probabilities on appearance, age and ancestry, which represents the intelligence information finally used for guiding criminal investigations towards the most probable group of suspects. The VISAGE Toolkit will consider ethical, societal, and legal dimensions of Forensic DNA Phenotyping as identified within the Project, by applying a privacy-by-design strategy. The interdisciplinary VISAGE Consortium includes European (and global) scientific leaders in Forensic DNA Phenotyping as well as in forensic massively parallel sequencing, leading European forensic DNA service providers, and one of the leading social scientists in the field of forensic DNA analysis, ensuring that the Project goals will be achieved on time. The outcome of the VISAGE Project will have a major impact on solving more crimes more rapidly by providing previously unused intelligence information from trace DNA to find unknown perpetrators, which will lead to reduced impact on victims, reduced societal distress, preventing miscarriages of justice, thereby avoiding unnecessary costs.

Keywords: composite sketch,appearance,ancestry,massively parallel sequencing
Unsymmetric diborane(4) compounds for small molecule activation and B-B coupling (DIBOR)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-05-01
End date: 2018-04-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Organoboron complexes are ubiquitous in synthesis due to their utility in functional group transformations and the Nobel Prize winning Suzuki-Miyaura reaction. Furthermore, the advent of frustrated Lewis pair chemistry and BB multiple bonds has demonstrated that organoboron compounds can activate small molecules (e.g., CO) and sigma bonds (including H2), reactivity previously thought to be the domain of transition metal catalysts. As part of the renaissance in organoboron chemistry diborane(4) compounds (R2B-BR2) have received considerable interest, particularly that react as boryl anion equivalents. Recent unpublished work at UNIMAN has developed an efficient, scalable route to a synthetically useful unsymmetric diborane(4) compound, specifically (RO)2B-BCl2(NHC), (1, NHC = N-heterocyclic Carbene). The DIBOR project will exploit this breakthrough using 1 (and new congeners synthesised in this fellowship) as key precursors to; (i) readily synthesised cationic diboranes that are strong electrophiles able to activate small molecules and sigma bonds (C-H) and to diborylate pi nucleophiles; (ii) extended homocatenated boron compounds containing both electron precise B-B and B=B bonds. Advances in (i) will generate new transition metal free routes to diborylated hydrocarbons for use as synthetic intermediates. Whilst the demonstration of H-H and C-H activation will demonstrate that individual steps are viable for future application using diboranes in catalytic sigma bond transformations. Advances in (ii) will generate fundamentally new boron entities, e.g., electron precise B4 chains containing B-B and B=B bonds. The chemistry of electron precise boranes is in its infancy but dramatic differences in reactivity to the isoelectronic hydrocarbons have already been reported. Precursor 1 is carefully designed to prevent borane cluster formation on reductive coupling thus facilitate formation of homo-catenated chains.

Keywords: boron,borylation,diborane
Autonomously Healable Thermoplastic Polymer Coatings based on Cooperative Interactions (PolyHeal)

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: Spain
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2018-07-01
End date: 2019-12-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Modern society demands for materials that are reliable, for safety reasons, durable, to offer prolonged service lifetimes, and cost- and energy-efficient, to preserve natural resources and produce minimum waste and environmental impact. In this context, self-healing polymers are “smart” materials with the ability to repair themselves autonomously or to heal on-demand upon exposure to an external stimulus. However, the broad commercialization and universal use of self-healing thermoplastic polymers is still hampered by a main problem that resides in the balance between self-healing ability and mechanical properties at working conditions. Along the ERC-StG project PROGRAM-NANO, we found a quite promising solution by introducing cooperative effects in supramolecular polymers. In this way, thermoplastic materials were obtained that combined toughness and resistance with self-healing ability at ambient temperature. This PoC Project now focus on evaluating the viability of our approach for producing commercial self-healing thermoplastic coatings by addressing 3 strongly interconnected milestones: 1) Test and Validate the technical characteristics of the materials and the self-healing process; 2) Design and implement a market analysis and study the best IPR strategy for this new technology; and 3) Optimize an efficient methodology toward a primary commercial product with optimum performance and minimum cost. These tasks require the assembly of a team comprising experienced researchers on one hand, to validate PolyHeal performance through well-established standard tests, and management, market and IPR experts on the other, to find the suitable market niches and develop the most convenient strategy for the exploitation of our technology. Due to its innovative nature and versatility, PolyHeal has a great potential to open up important technological and commercial opportunities by the design and application of plastic coatings with the ability to heal autonomously.

Keywords: supramolecular chemistry,noncovalent molecular interactions,polymer chemistry,self healing materials,plastic coatings