Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The most advanced “Do-it-Yourself” paint vending machine in the market (SCS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-05-01
End date: 2018-09-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Currently, custom-made paints are produced by paint dispensers according to the base paint production method. A pre-manufactured base paint is selected based on the qualitative and chromophore properties of the desired paint, to which colorants are added to obtain the final product. However, due to the historical problems to manage one of the paint components (TiO2 slurry), its effect on the whiteness of the final paint and the large variety of paint colours and finishes (satin, gloss, matte), this method does not allow to have a universal base paint and leads to a large stock of pre-manufactured base paints (12 different types), which entails an unnecessary increment of transport and waste losses (due to damage or expiration) which impact in both supply chain costs as environment. Alfa’s innovative solution is the state-of-the-art Self Color System designed to disrupt the current market and transform the whole supply chain of the custom-made paint industry with a fully autonomous money-in-paint-out vending machine. Its development has entailed to overcome several challenges to simplify the chemistry used to a new Master System, with which all the varieties of paints can be produced from just 3 types of premanufactured Master paints instead of the current 12 from the base paint production method. The result is a cutting-edge alternative which perfectly covers the necessities of the whole supply chain by reducing the paint stock up to 40% (which implicates a dramatically diminution of the environmental and economic costs) and the overall production costs by 50%. With this project, we aim to sell 1.820 Self Color System in the first 5 years (estimated turnover: € 25 million), with a ROI of 3.7 and hiring 135 new employees.

Keywords: diy painting,vending machine,automation
A Biomimetic Learning Control Scheme for control of Modular Robots (BIOMODULAR)

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: Information Science and Engineering
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): 212194.8
EU funding (EUR): 212194.8
Participants: 1
Project status: CLOSED

Motor control is a very important feature in the human brain for the performance of a motor skill. The biological basis of this feature can be better understood by emulating the cerebellar mechanisms of learning. The cerebellum plays a key role in implementing fine motor control, since it extracts the information from sensory-motor signals and uses it to respond to the environment. The purpose of this project is to benefit from the interplay between a body agent and an embodied artificial brain to understand the role of the first in the behavior of the latter and vice versa. The project aims to build a novel bio-inspired computational learning model for modular robots, and to incorporate it into a biologically plausible control scheme. The aforementioned model will merge machine learning techniques and a spiking modular cerebellum to develop a process that leads to the formation of long-term motor memories. Novel modular robots, such as Fable, will benefit from this adaptive predictive control system to perform desired, task-fulfilling behaviors. Exploiting this approach, the project pursues the discovery of important insights into the modular structure of the cerebellum, and its involvement in processing the sensory input for motor control tasks. The project will be developed at DTU with a run time of two years and will benefit from collaborations with other research groups (UGR and TUM). Their long expertise in neuromorphic computing and spiking networks will ensure that the candidate receives scientific training related to these fields (e.g. about cerebellar topology and cellular properties, and implementation of spiking networks in hardware). By providing multiple relevant contributions across the spectrum of the H2020 objectives in terms of its potential to advance robotic manufacturing, brain processing understanding, and novel computing paradigms, this project will enable the candidate to enhance her position at the forefront of advances in this fields.

Keywords: motor control,learning,cerebellum,machine learning,modular,predictive control,feedback error learning,robot,spiking network,internal models,bio inspired control architecture
Cooperative Intelligence in Swarms of Enzyme-Nanobots (i-NANOSWARMS)

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: Spain
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-10-01
End date: 2026-09-30
Duration (months): 72.0
Total project cost (EUR): 1999819.0
EU funding (EUR): 1999819.0
Participants: 1
Project status: SIGNED

In nature, systems composed of self-propelling agents display complex behaviors such as signal interpretation, propagation, amplification and engage in collective motion mediated by interactions between different agents and their environment. Examples range from swarming bacteria to schooling fish and flocking birds. These self-organized systems have served as an inspiration for researchers seeking to achieve complexity in artificial systems composed of synthetic agents. A class of agents that has recently been demonstrated is of synthetic nanomachines (nanobots) that can self-propel thanks to the conversion of chemical energy, harvested from the environment, into motion. While most of the artificial nanobots have been explored at individual level, their collective emergent behavior, arising from inter-particle interactions through chemical and hydrodynamic fields, and through environment mediated interactions is yet to be properly studied. Understanding collective effects will be especially useful in biologically relevant environments, where a number of applications for these nanobot systems have been envisioned. i-NANOSWARMS aims to realize enzyme-powered nanobot swarms capable to self-propel using biocompatible and bioavailable fuels and display collective and cooperative behaviours through communication among them as well as with the host environment. The proposal is divided in three working packages. In WP1, I will create a toolbox of nanobots based on a library of enzymes and nanoparticle architectures to study communication and long-range signal propagation using enzyme cascades. WP2 will be devoted to the collective behavior of nanobot swarms, exploiting biomimetic strategies such as chemotaxis and stigmergy to guide and recruit other nanobots. WP3 aims at studying, as a proof-of-concept of the applicability of intelligent nanoswarms for biomedical applications, cooperative behavior among nanoswarms for enhanced drug delivery and medical imaging.

Keywords: nanomotors,self propulsion,bioinspired communication,collective behaviour,enzyme catalysis,nanomedicines
Polymeric Self-Assembling Units for a Controlled Adsorption and Release at the Nanoscale (NANODRIVE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-05-02
End date: 2019-05-31
Duration (months): 24.0
Total project cost (EUR): 168277.2
EU funding (EUR): 168277.2
Participants: 1
Project status: CLOSED

Creating novel building blocks, which allow for an easy and large-scale fabrication of complex materials, is a challenge and a central goal of diverse scientific fields, ranging from Physics to Materials Science. In recent publications, I introduced di-block copolymer stars (or telechelic star polymers - TSPs) as novel self-assembling building blocks (“soft legos”), made of a soft core, decorated by a tunable number of functionalized regions or patches. TSPs have a robust and flexible architecture and they possess the ability to self-assemble at different levels. At the single-molecule level, they first order as soft patchy colloids which serve then as “soft Lego” for the emergence of larger structures. At the supramolecular level of self-assembly, the soft colloids form complex crystal structures, such as for example diamond or cubic phases. In this project I propose to investigate how such a novel class of highly versatile tunable building blocks can be applied to the self-assembly of novel and designable soft-materials and how to exploit their self- assembly properties for a controlled adsorption and release of nanomaterial into functionalised predetermined regions. IIn contrast to many functionalised building blocks, telechelic star polymers particles are soft and they self-assemble into patchy structures, without the need for cumbersome synthesis techniques. The quantitative multiscale approach that will be used to carry out the theoretical part of this project, will allow a direct mapping to an experimental realization of the system. The objective of this proposal is to investigate how to induce and control a tunable adsorption of nanomaterial within the intramolecular TSP’s self-assembling process, and to use such particles to perform controllable delivery of nanomaterial into target functionalised regions.

Keywords: polymers,colloids,simulations,monte carlo,coarse graining,multiscale,theory
Enhanced Satellite Laser Ranging System (EO-SLR)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: SME instrument
Countries involved: Latvia
Call: SME Instrument (H2020-SMEINST-1-2015, 2015)
Start date: 2015-10-01
End date: 2016-03-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The EO-SLR is a next generation satellite laser ranging system that incorporates latest advances in the field to assure ease of setup, use and sustainable economic operation. Packaged in standard sea container with modular design for laser systems, climate control, calibration equipment, data systems, and power systems it can be made operational with manufacturer settings within days and is potentially mobile. The EO-SLR is being designed to address the rapid growth in the number of objects in space that must be tracked. Google and other private firms are planning to launch hundreds of satellites. The Cubesat revolution has opened space to public and private sector of smaller or less technically developed countries, their universities, research institutes and even private SMEs. Simultaneously problem of space debris is an increasing global public concern. The International Laser Ranging Service has identified geographic market gaps, lack of standard components, absence of next generation equipment and other concerns. The EO-SLR is being designed to meet those needs with a packaged system with new features and functionality unmatched by systems in the market: • Data for space object orbit calculations from one observation site • Improved ranging accuracy of scattered light space objects including closely located (groups of) space objects • Advanced calibration and testing system, that significantly speeds up the measurement process • Easily convertible Highly complex products like SLR systems demand a broad range of multidisciplinary skills to design. HEE Photonic Labs emerged from the research center of the University of Latvia that had developed SLR systems and other advanced equipment for the Soviet space program from 1970-ties.This is an substantial advantage allowing to design project proposal offering innovative and unique in design EO-SLR instrument as a flexible and fast response to emerging needs in the market of ground segment of space technologies

Keywords: satellite laser ranging tracking mobile small
Development of a novel low dose, high resolution, high contrast X-ray detector for medical applications to improve patient diagnoses and reduce the risk of X-radiation induced cancer (MAP-Detector)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: United Kingdom
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

X-ray imaging is a valuable medical diagnostic technique, accounting for 47% of the medical imaging market in 2011. However, current X-ray detection technology exposes patients to increased risk of developing cancer with research in 13 developing countries showing that exposure to X-ray detection technology accounted for 0•6% to 1•8% of the cancer cases. X-ray detector manufacturers are thus keenly seeking technology that would reduce radiation exposure (dose) to patients whilst offering superior material discrimination for earlier detection and treatment of clinical cases. As IBEX, we have developed and patented an innovative X-ray detection technology incorporating our unique Multi Absorption Plate (MAP). Our technology significantly surpasses current solutions based on cadmium telluride (CdTe) as it offers potential dose reduction of >50% plus enhanced materials discrimination. MAP-Detector offers a disruptive X-ray detector that will leverage the MAP technology in both retrofitted and new build X-ray detectors for medical applications. The global medical diagnostic imaging market is expected to grow from €21.4bn in 2012 to €27.4bn by 2017, with X-ray and CT imaging equipment having a 50%/€13.1bn share in 2017. Within this segment, the X-ray imaging detector market is estimated at €2.0bn. Our technology will be compatible with the leading X-ray inspection systems creating significant market potential. Our initial target segments within the medical industry are fluoroscopy and mammography with dosage reduction being far more important for the former and materials discrimination an essential requirement for the latter. In Phase 1 we will thoroughly analyse the market to more clearly define our route to market and requirements for rapid market uptake. This will culminate in the drafting of a more detailed operational business plan. In Phase 2 we intend to conduct clinical trials and achieve certification for our technology in preparation for market introduction.

Keywords: low dose,high resolution,high contrast,x ray detector,cancer
Safe Food and Feed through an Integrated ToolBox for Mycotoxin Management (MyToolBox)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: Research and Innovation actions
Countries involved: Ukraine,Austria,Germany,Italy,Austria,Germany,Austria,Spain,Spain,Italy,China,Serbia,Türkiye,Norway,Türkiye,Türkiye,Netherlands,United Kingdom,United Kingdom
Call: Biological contamination of crops and the food chain (H2020-SFS-2015-2, 2015)
Start date: 2016-03-01
End date: 2020-02-29
Duration (months): 48.0
Total project cost (EUR): 5243123.75
EU funding (EUR): 4997660.75
Participants: 24
Project status: CLOSED

MyToolBox mobilises a multi-actor partnership (academia, farmers, technology SMEs, food industry and policy stakeholders) to develop novel interventions aimed at achieving a 20-90% reduction in crop losses due to fungal and mycotoxin contamination. MyToolBox will not only pursue a field-to-fork approach but will also consider safe use options of contaminated batches, such as the efficient production of biofuels. A major component of MyToolBox, which also distinguishes this proposal from previous efforts in the area mycotoxin reduction, is to provide the recommended measures to the end users along the food and feed chain in a web-based Toolbox. Cutting edge research will result in new interventions, which will be integrated together with existing measures in the Toolbox that will guide the end user as to the most effective measure(s) to be taken to reduce crop losses. We will focus on small grain cereals, maize, peanuts and dried figs, applicable to agricultural conditions in EU and China. Crop losses using existing practices will be compared with crop losses after novel pre-harvest interventions including investigation of genetic resistance to fungal infection, cultural control, the use of novel biopesticides (organic-farming compliant), competitive biocontrol treatment and development of forecasting models to predict mycotoxin contamination. Research into post-harvest measures including real-time monitoring during storage, innovative sorting of crops using vision-technology and novel milling technology will enable cereals with higher mycotoxin levels to be processed without breaching regulatory limits in finished products. Research into the effects of baking on mycotoxin levels will provide better understanding of process factors used in mycotoxin risk assessment. Involvement of leading institutions from China are aimed at establishing a sustainable cooperation in mycotoxin research between the EU and China.

Keywords: mycotoxin reduction,integrated approach,pre harvest and post harvest strategies
B Cell Immunodominance in Antiviral Immunity (B-DOMINANCE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Immunity, Infection and Immunotherapy
Panel description: The immune system, related disorders and their mechanisms, biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases, innovative immunological tools and approaches, including therapies
Countries involved: Sweden
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2019-12-01
End date: 2024-11-30
Duration (months): 60.0
Total project cost (EUR): 1481697.0
EU funding (EUR): 1481697.0
Participants: 1
Project status: SIGNED

This proposal aims at understanding how B cell specificity and immunodominance shape primary and secondary humoral responses to influenza A virus. Influenza A virus is a relevant human pathogen causing a considerable yearly death toll and economic burden to society. Immunodominance is a major driving force of adaptive immunity and defines the hierarchical recognition of epitopes on the same antigen. Previous studies analysing B cell dynamics in primary and secondary responses have been mainly focusing on simple antigens and competition between B cell clones of the same family. Investigation using complex antigens and examining interclonal competition are surprisingly scarce. Influenza hemagglutinin (HA) is a prime candidate to study immunodominance in B cells. I have generated a set of mutant viruses that will allow for an unprecedented investigation into immunodominance and B cell interclonal competition in primary and secondary responses. These viruses can be used to isolate and enumerate antibody and B cells specific for different epitopes on the same complex antigen (HA). I will use these unique tools in combination with state-of-the-art immunological methods, multi-colour flow cytometry and single cells RNA sequencing paired with B cell receptor sequencing to gain fundamental insights into B cell regulation and anti-viral humoral responses. I will i) study the link between B cell receptor characteristics, specificity and B cell fate decisions in primary responses, ii) characterize the relative contribution of pre-existing B cells, serum antibodies and CD4 T cells for immunodominance of secondary responses, iii) define immunodominance in human individuals, repeatedly exposed to influenza virus. I expect this project to critically improve our understanding of basic B cell biology with the long-term benefit of improving current vaccination against variable viral pathogens.

Keywords: influenza,b cell,germinal center,antibodies,memory b cells,humeral immunity
ANTIROTATION SYSTEM FOR HELIRESCUE (K.A.R.S.)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Italy
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-06-01
End date: 2017-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

In Europe, approximately 26,000 people die from road traffic accidents. Of these, 41.5% die in the moments after the trauma and many are considered “preventable” and caused by transfer delays, therefore transport time is crucial in saving the life of the patient. The helicopter is by far the fastest means but the effectiveness of its intervention is reduced due to the time it takes to safely prepare the landing area close to the accident. The only alternative to landing is to have the helicopter hover in a stationary position and winch the stretcher down and up. This is the fastest method of retrieval but is executed in very few cases because the vortex of air created by the moving blades sends the stretcher into a spin, and the resulting centrifugal force can cause cardiac decompensation in the victim. The aim of the K.A.R.S. Project is to develop an innovative device that revolutionises helirescue operations. Thanks to a new electronic system that detects the rotation of the winched stretcher, an aerodynamic device can immediately stop the rotation induced by the air flow generated by the helicopter rotors. The device is applied by installing a simple bracket on any kind of helicopter rescue stretcher and adopting it will allow using a helicopter in rescue operations that would otherwise be impossible. The resulting quicker response time will improve the survival rate of the victim.

Keywords: helirescue,stretcher,antirotation system,improved survival rate