Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
New eco-efficient and healthy professional espresso coffee machine (ECOBREW)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: SME instrument
Countries involved: Spain
Call: Resource-efficient eco-innovative food production and processing (H2020-SMEINST-1-2014, 2014)
Start date: 2014-11-01
End date: 2015-04-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Coffee is the first food commodity in the world, and a big part of it is consumed in form of expresso in bars, restaurants or coffee shops. However, current professional espresso coffee machines are based on technologies that have barely evolved in 100 years. These machines are extremely energy inefficient whilst also, due to the materials used internally in the machine, generate unhealthy metal impurities which are then passed to the customer in the drink. This creates a market anomaly, since the niche of coffee shop customers who are looking for environmentally and socially responsible coffee is one of the only fast growing segments in the mature coffee market. For thirty years the SME Company IBERITAL has been designing, manufacturing and selling professional espresso coffee machines to coffee shops across the World. IBERITAL has noticed the market anomaly and has therefore developed a prototype coffee shop espresso machine that reduces energy consumption by 30% and does not allow migration of metals from the machine to the final consumer. IBERITAL’s prototype generates the following benefits: reduction of energy consumption of professional espresso coffee makers by 30%; reduction of overall energy consumption in the professional coffee sector by 3% within 5 years; production of heavy metal impurity-free espresso coffee; opening a competitive new business line for IBERITAL. The overall aim of ECOBREW is to confirm the potential of the prototype, to perform the necessary production line adaptations and industrial up scaling, and finally to demonstrate and prepare for commercialisation of the ECOBREW professional espresso coffee machine.

Keywords: coffee,espresso machine,energy efficiency,hygiene,food safety,heavy metals,environmentally friendly
Fine-Grained Analysis of Software Ecosystems as Networks (FASTEN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Italy,Germany,Greece,France,Netherlands,Netherlands
Call: Software Technologies (H2020-ICT-2018-2, 2018)
Start date: 2019-01-01
End date: 2022-06-30
Duration (months): 42.0
Total project cost (EUR): 4016581.43
EU funding (EUR): 3488536.0
Participants: 7
Project status: CLOSED

A popular form of software reuse involves linking open source software (OSS) libraries hosted on centralized code repositories, such as Maven or PyPI. Developers only need to declare dependencies to external libraries, and automated tools make them available to the workspace of the project. As recent events such as the LeftPad incident, which led to hundreds of thousands of websites to stop working, and the Equifax data breach, which led to a leak of hundreds of thousands of credit card numbers, have demonstrated, dependencies on networks of external libraries can introduce to projects significant operational and compliance risks as well as difficult to assess security implications. Solving these problems would boost the efficiency and production quality of software development companies by allowing them to reuse OSS code with confidence, covering a large untapped potential. To address this situation, the FASTEN project introduces fine-grained, method-level, tracking of dependencies on top of existing dependency management networks. Specifically, the project will introduce a service that tracks dependencies at the method call-graph level and performs sophisticated analyses of i) security vulnerability propagation, ii) licensing compliance, and iii) dependency risk profiles. To facilitate adoption, FASTEN will bring those analyses to the hands of developers by integrating the analysis service to popular package managers, for the Java, C, and Python programming languages. The project consortium comprises world-leading experts on ecosystem analysis, graph processing, and software risk and compliance assessment, along with established OSS community integrators and managers.

Keywords: software ecosystems,package managers,graphs,program analysis,call graphs
ADS-C ENables and Supports Improved ATM Operations (PJ38-W3-ADSCENSIO)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Austria,Germany,Spain,Italy,Ireland,Switzerland,Belgium,Bulgaria,Hungary,Lithuania,Slovakia,Sweden,Norway,Belgium,Poland,France,France,Czechia,Czechia,United States,United Kingdom
Call: Downlinking Flight Trajectory to improve ATM performance (H2020-SESAR-2020-2, 2020)
Start date: 2020-11-01
End date: 2023-06-30
Duration (months): 32.0
Total project cost (EUR): 10751364.11
EU funding (EUR): 6759968.53
Participants: 31
Project status: SIGNED

The proposal is part of the general principle of Trajectory Based Operations, aiming at improving various features of Air Traffic Control thanks to a better anticipation of how flights would behave. During the execution of a flight, major elements to feed an accurate and reliable trajectory prediction -or alternate scenarios- can be provided by the aircraft itself. These elements can be: wind conditions, speed schedule or the trajectory prediction computed by the aircraft navigation system itself, which consists in a suite of positions, altitude and time (“4 Dimensions”). Some aircraft operated by European airlines already have the capacity to send those elements via a datalink communication application. The objectives of the proposal are to demonstrate both: · the improvements that can be achieved in many common operational situations that Air Traffic Controllers have to manage, and · the efficiency and robustness of a technological infrastructure to support the datalink communications between the aircraft and various ground consumers for trajectory related exchanges. Implementation of technical and operational solutions will primarily induce a reduction of Controllers’ workload in high traffic condition, hence enhancing airspace capacity. Another effect resulting from earlier and assisted Controllers decision will allow to reduce flight delays, fuel burn and CO2 emissions. They are key to reach the target set for aviation industry in the perspective of reducing its environmental impact. PJ38 continues previous SESAR initiatives and is the main contributor to prepare the industrial implementation as required by the Common Project #1. The associated implementing rule demands by 2027: · the European Air Navigation Service Providers’ ground systems to be capable to make use of aircraft trajectory data · 45% of flights in Europe to have the capacity to share trajectory.

Keywords: trajectory based operations tbo 4d ads c common service datalink satcom conflict detection and resolution consistency check flight trajectory prediction conformance monitoring aman cpdlc ats b2
First principles based process concepts for complex mixtures conversion (PR1ME)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Belgium
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2020-08-01
End date: 2022-01-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Europe is the second largest global producer of hydrocarbon products. Unavoidably, significant greenhouse gas emissions occur due to the present process implementations. A proper simulation of these processes is crucial to better understand them and, hence, to propose solutions for the present challenges in CO2 emissions abatement. The PR1ME simulation framework for chemical process will combine the fundamental understanding of the occurring reactions at the microkinetic level with molecular reconstruction techniques allowing to bridge the gap between global properties and detailed composition of the complex streams involved. By doing so more adequate simulations of chemical process performance are obtained than what is possible with conventional process simulation software essentially relying on global kinetics between groups of molecules (also denoted as lumps). Given the fundamental nature of the kinetics and reconstruction module in the framework, its applicability spans already a wide range of operating conditions and feed compositions. In the course of the PR1ME project, starting from conventional hydrocarbons as converted in Crude Oil To Chemicals (COTC) processes, the necessary innovation will be embedded in the modules to be applicable too within the circular economy scenario and be capable to simulate the behavior of renewables and plastics derived oils. The ultimate target of PR1ME is to develop patentable process configurations in the area of chemicals production from alternative feeds and/or to license (parts of) the software framework.

Keywords: chemical process simulation,microkinetic modelling,complex mixtures conversion,renewables,circularity
Causes and consequences of alterations in cerebral glucose metabolism in Traumatic Brain Injury (GOMB-TBI)

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-2014, 2014)
Start date: 2015-11-01
End date: 2016-10-31
Duration (months): 12.0
Total project cost (EUR): 97727.4
EU funding (EUR): 97727.4
Participants: 1
Project status: CLOSED

Traumatic Brain Injury (TBI) is the leading cause of death and disability in young adults. Hours or days after the primary injury, secondary injury will develop. This secondary injury is responsible for most in-hospital deaths after TBI. Early interventions to prevent secondary injury are currently targeted at reducing intracerebral pressure and promoting cerebral blood flow (CBF), aiming to improve brain oxygenation and reduce ischaemia. However, there is increasing evidence that other mechanisms besides ischaemia are important in the development of secondary damage. Because our brain depends on glucose for functioning, alterations in cerebral glucose metabolism provide insight into the causes of secondary brain damage. The influence of plasma glucose has been studied, but the relation between body and brain glucose metabolism after TBI is unclear. In addition, there are indications that local neuroinflammation influences local glucose metabolism. New techniques, such as positron emission tomography (PET) with 18-Fluorodeoxyglucose (18FDG) and cerebral microdialsyis, allow detailed study of brain metabolism after TBI. During this project we aim to study the causes and consequences of alterations in brain glucose metabolism using 18FDG PET and microdialysis. We will study the influence of alterations in oxygen supply, neuroinflammation and body glucose on alterations in glucose metabolism. Thereafter, the consequences of alterations in glucose metabolism on brain tissue will be studied, using structural magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI). This will provide novel insights into the underlying mechanisms of secondary injury following TBI and its long term consequences. These data should provide a basis for the design and assessment of future neuroprotective therapies.

Keywords: glucose metabolism,traumatic brain injury
Creating value by bridging the Intergenerational Gap (ADOPT GRANDPARENTS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-06-01
End date: 2019-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Many of our elders feel lonely, they have problems of self-esteem, socialisation and depression. A surprising fact is that twothirds of the older adults who said that they felt lonely were either married or living with a partner of some kind. But loneliness is not only an issue for older generations. Nowadays there is growing concern about the loss of values and the increase of loneliness in youngsters, there is a lack of intergenerational communication: many young people is not enjoying the opportunity to learn from experience and values through the direct contact with elderly people. The society has evolved in this sense while formal and non-formal education is not covering this issue. In this context, the objective of Adopt Grandparents is to implement a social business model to connect elderly people living in care homes and youngsters. They will carry out shared activities where: - Elders will enjoy direct contact with young people sharing experiences and interests. - Youngsters complement their education through the contact with the experience of elderly people within a complete programme of activities. Adopt Grandparents provides a Social & Education Training Programme for youngsters with a formal roadmap for young trainees and a visits schedule for the elderly under the supervision of instructors. After three years operating as a non-profit organisation, Intergenerational Technologies SL was constituted as a company to launch Adopt Grandparents initiative as a social economy business. For the time being Adopt Grandparents has been launched in Spain and Portugal and the plans of the company is to scale to global level. SME Instrument Phase-1 and Phase-2 will be extremely beneficial in helping the company to accelerate development and market penetration of the solution in target segments, boosting the company’s growth to 242 employees and € 23,017,094 revenues by 2024.

Keywords: intergenerational programme,social business model,social training,skills development,social,issues
A Clinical Decision Support system based on Quantitative multimodal brain MRI for personalized treatment in neurological and psychiatric disorders (CDS-QUAMRI)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Health care provision and integrated care
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Switzerland,Netherlands,United Kingdom
Call: Advancing bioinformatics to meet biomedical and clinical needs (H2020-PHC-2014-two-stage, 2014)
Start date: 2015-09-01
End date: 2021-02-28
Duration (months): 66.0
Total project cost (EUR): 2168125.0
EU funding (EUR): 2168125.0
Participants: 7
Project status: CLOSED

A large number of neurological and psychiatric disorders lack objective criteria for primary diagnoses, early differential diagnosis with regard to subtypes in treatment response and disease progression or effective therapy monitoring resulting in a tremendous negative socio-economic impact. Scientific studies based on advanced MRI methods indicate that related patients show specific subtle changes in multiple MRI readouts that are only detectable by quantitative approaches. Existing tools for MRI data analysis are largely insufficient to maximise the use of advanced modality based, diverse and complex MRI data with deficiencies existing mainly in interoperability as well as data organisation, integration, analysis and exploitation in clinical decision making. Hence, the development of a clinical decision support system for neurological and psychiatric disorders is envisioned that is based on multimodal quantitative magnetic resonance imaging, advanced feature extraction and multi-parametric classification. To that the quantitative analysis of structural, functional and metabolic MRI data (11 modalities) shall be fully integrated into a single software framework for the first time; support of large data, interoperability and access for non-expert users shall be enabled and a machine learning based classification module shall be developed. The quantification and feature extraction algorithms for metabolic, perfusion, diffusion and functional imaging shall be enhanced to access the full information content of the data independent of vendor specific scan protocols as required for future use in diagnostics, stratification and monitoring of patients. The envisioned clinical decision support system shall be tested, optimized and demonstrated for major depression and multiple sclerosis, but can be extended to additional disorders by enabling large scale clinical trials and more widespread use in neuroscience as a basis for the future clinical decision making.

Keywords: magnetic resonance imaging,magnetic resonance spectroscopy,quantification,feature extraction,classification,machine learning,model fitting,roi and network analysis
SnapToPowerQuality: Protect Production Facilities from Power Quality Failures using Low-cost Clamp-on Measurements from the Outside of Existing Multiconductor Cables (SnapToPowerQuality)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Bulgaria,Netherlands,Denmark,Denmark,Denmark
Call: Fast Track to Innovation (FTI) (H2020-EIC-FTI-2018-2020, 2020)
Start date: 2020-08-01
End date: 2022-07-31
Duration (months): 24.0
Total project cost (EUR): 2239943.75
EU funding (EUR): 1708193.75
Participants: 5
Project status: CLOSED

PAIN: Loss of resources due to poor power PAIN: Loss of resources due to poor power quality in production facilities. The state-of-art solutions to identify the sources of failure are costly and difficult to install, which is the main problem to be solved. SOLUTION: We have solved what no one else have been able to do before; we measure power quality from the outside of existing multi-conductor cables. The core secret in our technology is to use mathematical models to map the “non-sense” data acquired by the clamp-on sensors into the actual power quality measures. The solution builds on top of the patented ReMoni solution, which is already used to monitor technical installations in commercial buildings, and the power quality analysis from TUE. We can thereby speed-jump to a patented solution running on an already tested and proven platform. The value proposition: + Clamp-on sensors which are easy to click on existing cables without breaking into the installations. + Self-learning AI analysis. + Inexpensive: Cost <10 % of the known alternatives. + Coherent solution. + Open data integration. MARKET: The main market segment is industrial production facilities, where 90 % of the saving potential is originated. The estimated European market potential is 13.6 billion €. It is dominated by the large equipment vendors, like Johnson Controls, Honeywell, and National Instruments. OBEJCTIVES: We will develop a patented clamp-on measurement and analysis platform to eliminate sources of power quality disturbance. This requires a combination of the: + Technical development of the clamp-on sensor platform. + Models of the power analysis implemented in the embedded and cloud software. + Integration into the existing industrial operation system. + Demonstration and integration into the business models for efficient industrial production. Impacts: + Avoid loss of production and energy. + Higher production stability. + Increased competitiveness of European production lines.
Novel electrode materials for high performing aqueous organic redox flow batteries. (NEREFLOW)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-06-01
End date: 2023-05-31
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: TERMINATED

The aim of this 2-year fellowship is to develop novel and robust electrodes to improve the performance of Aqueous Organic Redox Flow Batteries (AORFBs) for renewable energy storage applications. The research will be carried out at Kemiwatt (Rennes, France), who have been developing AORFBs since 2014, in collaboration with the Institut des Sciences Chimiques de Rennes (ISCR), University of Rennes 1 (France) as secondment. Carbon felts, which are the most commonly used electrodes for AORFBs, will be modified in order to enhance the interactions between the electrode and the electrolytes to further improve the performance of the batteries. Two routes of modifications will be explored: i) pulse-electrodeposition of metals on carbon felt electrodes using a flow-through system and ii) electrografting of organic modifiers via the aryl diazonium salts method. By optimising the properties of the electrodes in terms of specific surface area, wettability, local pH and charge transfer, positive impacts on the power and energy densities and efficiencies of the battery are expected. Therefore, the objectives are threefold: i) to develop novel carbon felt electrodes modified by electrodeposition and electrografting, ii) to study the performance and durability of the modified electrodes for AORFBs application, via the optimisation of the electrode/electrolyte interactions, iii) to upscale (from 25 cm² up to 2100 cm²) the electrode surface modification process and to implement and test the corresponding electrodes in pilot-scale reactors. By developing novel modified carbon felts, this fellowship aims at improving the performance and stability of AORFBs. This will help Kemiwatt pursue their technological development and achieve their goals by 2023. It will in turn provide valuable insight to the scientific community on an aspect that is currently being overlooked and that could yet significant help improve the technology and the EU to reach its decarbonisation targets by 2050.

Keywords: aqueous organic redox flow batteries,energy storage,renewable energy