Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Targeted Radiotherapy Internal Dosimetry: A platform for individualized patient dosimetry and radiobiological assessment (TRIDOS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-05-01
End date: 2021-10-30
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: CLOSED

In radiation therapy (RT), which is used in more than 50% of cancer treatments, the dose delivered to the tumour/normal tissue determines tumour control and toxicity. Targeted radionuclide therapy (TRNT) is an effective growing type of RT in which radiative compounds with high tumour affinity are administered to patients. While in external RT there are well-defined methodologies to accurately determine the dose, this is not the case in TRNT. Traditionally, TRNT dosimetry is obtained from simple biokinetic models, developed many years ago, and non-individualized dosimetric factors calculated in phantoms. This dosimetry is inaccurate and not patient individualized. The recent European council directive 2013/59/Euratom, transposed on Feb 2018, has clearly highlighted the need to accurately report all doses from radiopharmaceutical procedures, hardening the criteria of previous regulations. The objective of this project is to develop methodologies for the accurate, individualized dosimetry and radiobiological assessment of TRNT, shifting from the current paradigm of empirical treatment to the era of personalized treatment. This will be achieved by the following actions: a) adaptation of Monte Carlo codes for patient’s internal dose calculation, considering novel biokinetic models of the drug biodistribution; b) development and implementation of radiobiological algorithms to evaluate tumour control/toxicity; and c) implementation of a platform useful for the clinical practice, incorporating these models and allowing easy handling and user interactivity. To successfully address this, the researcher experience will be combined with the host organisation (FIDIS) capabilities, a leading biomedical research institute where the supervisor is already involved in TRNT research. FIDIS will also provide clinical data for the models development/validation, an interdisciplinary environment and a training program greatly contributing to re-enforce the researcher professional maturity

Keywords: cancer,targeted radionuclide therapy,dosimetry,monte carlo,radiobiology,metrology
Unique smart waste management solution delivering 60% reduction on CO2 emissions caused by the waste collection process (SENS)

Framework: Horizon 2020 — Societal Challenges
Action type: SME instrument
Countries involved: Slovakia
Call: H2020-EIC Accelerator pilot –SME Instrument - Green Deal (H2020-EIC-SMEInst-2018-2020-4, 2020)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 1954840.0
EU funding (EUR): 1368388.0
Participants: 1
Project status: CLOSED

The global waste production is estimated to be around 2.01bn tonnes of solid waste per year. This is expected to rise by almost 70% to 3.4 tonnes in 2050. As a result, the global smart management market is expected to grow to €2.8 bn by 2023, with CARG of around 17% in this period. Sensoneo responds to these trends by providing a smart enterprise-grade waste management solution for cities and businesses to cost-efficiently manage the waste lifecycle and improve the environment and well-being of people. Through its smart waste management technology, Sensoneo is redefining waste management. Sensoneo combines unique ultrasonic Smart Sensors that monitor waste in real-time using IoT or GSM with sophisticated software providing cities and businesses with data-driven decision making, and optimization of waste collection routes, frequencies and vehicle loads, resulting in overall waste collection cost reduction by at least 30% and carbon emission reduction up to 60% in cities. In this project, Sensoneo plans to tag all 110,000 bins in one EU capital and demonstrate its capability to provide full coverage and transparency, enabling waste management companies to monitor the waste production of individual households. Sensoneo would be the first market player in the world to unlock the pay-as-you-waste business model. Sensoneo also wants to finalize a prototype of its sensor with radar technology that can detect contamination of different types of waste, particularly with a focus on biowaste. Sensoneo would be the first solution to enable such detection, helping reduce harmful methane emissions. To achieve these goals, Sensoneo aims to conduct large scale piloting of its solution with two EU capitals – these references and overall proof of savings for the cities will help Sensoneo convince other cities to adopt its smart waste management solutions. Currently, cities are reluctant to invest in new technologies due to uncertain ROI and investment required for the transition.

Keywords: waste,management,collection,sensors,recycling,recycle
Production and Market entry financing of Digital Concrete Screen for Outdoor Digital Signage application (DIGISTONE P1)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Denmark
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2014, 2014)
Start date: 2014-10-01
End date: 2015-03-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The DIGISTONE market phase 1 aims at adressing a major market opportunity in the supply of large, concrete multimedia displays primarily for outdoor digital signage and commercial applications.

Keywords: digital outdoor screen made of concrete
DNA strand break repair and links to human disease (DNA2REPAIR)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Molecules of Life: Biological Mechanisms, Structures and Functions
Panel description: Molecular biology, biochemistry, structural biology, molecular biophysics, synthetic and chemical biology, drug design, innovative methods and modelling
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2015-09-01
End date: 2022-02-28
Duration (months): 78.0
Total project cost (EUR): 2203153.0
EU funding (EUR): 2203153.0
Participants: 1
Project status: CLOSED

Our genetic material is continually subjected to damage, either from endogenous sources such as reactive oxygen species, produced as by-products of oxidative metabolism, from the breakdown of replication forks during cell growth, or by agents in the environment such as ionising radiation or carcinogenic chemicals. To cope with DNA damage, cells employ elaborate and effective repair processes that specifically recognise a wide variety of lesions in DNA. These repair systems are essential for the maintenance of genome integrity. Unfortunately, some individuals are genetically predisposed to crippling diseases or cancers that are the direct result of mutations in genes involved in the DNA damage response. For several years our work has been at the forefront of basic biological research in the area of DNA repair, and in particular we have made significant contributions to the understanding of inheritable diseases such as breast cancer, Fanconi anemia, and the neurodegenerative disorder Ataxia with Oculomotor Apraxia (AOA). The focus of this ERC proposal is: (i) to determine the mechanism of action and high-resolution structure of the BRCA2 tumour suppressor, and to provide a detailed picture of the interplay between BRCA2, PALB2, RAD51AP1 and the RAD51 paralogs, in terms of RAD51 filament assembly, using biochemical, electron microscopic and cell biological approaches, (ii) to determine the biological role of a unique structure-selective tri-nuclease complex (SLX1-SLX4-MUS81-EME1-XPF-ERCC1), with particular emphasis on its roles in DNA crosslink repair and Fanconi anemia, and (iii) to understand the actions of Senataxin, which is defective in AOA2, in protecting against genome instability in neuronal cells. These three distinct and yet inter-related areas of the research programme will provide an improved understanding of basic mechanisms of DNA repair and thereby underpin future therapeutic developments that will help individuals afflicted with these diseases.

Keywords: tumourigenesis,neurodegenerative disorders,dna damage response,recombination,repair,transcription
DEVELOPMENT OF A NEW AUTOMATED MACHINE TO UNWRAP PALLETS EFFICIENTLY AND SAFELY (AUNPALL)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Italy
Call: Accelerating the uptake of nanotechnologies, advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2015, 2015)
Start date: 2015-11-01
End date: 2016-02-29
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Located in Emilia Romana, EMMETI is a world leader in the field of palletization and depalletization thanks to its vast experience and the high quality standards of its machines. In the last 5 years, our sales figures have reached € 30 million. Established in 1976, and thanks to the huge investments made in the past, and with more planned in the future, EMMETI guarantees consistency of its high technological standards and the competitiveness of its products in a market that continues to demand higher performance. The majority of our quality work is based on long-term relationships with key customers who rely on our company to find solutions that provide added value to their products in terms of production processes. Our customers require our expertise to provide in-house research and having found some common direction, we wanted to find an effective unwrapping solution that would improve and speed-up production, reduce costs and guarantee safety at work stations. The result is our AUNPALL project, a novel machine which aims to automate the process of unpacking filmwrapped pallets in the packing line before its depalletization, in a rapid, reliable and safe way.

Keywords: palletizers,packaging,automation,depalletizer,unwrapping,pallet
High performant Wide Band Gap Power Electronics for Reliable, energy eFficient drivetrains and Optimization thRough Multi-physics simulation (HiPERFORM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: Electronic Components and Systems
Action type: Research and Innovation actions
Partnership: ECSEL (Art-187)
Countries involved: Austria,Germany,Spain,Italy,Austria,Germany,Germany,Germany,Germany,Spain,Germany,Spain,Germany,Germany,Spain,Spain,Italy,Belgium,Slovakia,Belgium,Belgium,Belgium,Belgium,Slovenia,Netherlands,Netherlands
Call: RIA (H2020-ECSEL-2017-2-RIA-two-stage, 2017)
Start date: 2018-05-01
End date: 2021-10-31
Duration (months): 42.0
Total project cost (EUR): 41367954.09
EU funding (EUR): 11798310.94
Participants: 34
Project status: CLOSED

The project objective of the project HiPERFORM is based on the investigation of industrial applicability of high-performance semiconductors with wide-band gap materials in the field of Smart Mobility. For this purpose, a holistic approach is selected that includes the entire supply chain - from the manufacturer of semiconductors as well as power modules through suppliers of development methods and tools to the system manufacturer and ultimately the vehicle manufacturer. The integration of academic partners with a high level of competence in these domains completes this approach. On the other hand, specific requirements for power electronics are addressed in specific application areas, which include both power inverters in the vehicle, electrical charging modules inside and outside the vehicle, as well as the associated development and test systems. The high performance spectrum of wide-band gap semiconductors and the resulting potential for improvement and savings within the concrete applications of the electrified power train contribute to a substantial saving of CO2 in transport and thus support the achievement of the set climate targets in Europe. The jointly planned objectives and research activities will further strengthen European research and industry partners in the field of electronic components and systems. Besides Semiconductor manufacturing capabilities, the project requires also high capabilities in Cyber Physical Systems and Design Technologies and supports the domain Smart Mobility and Smart Energy as well.

Keywords: wide band gap semiconductors,electric drivetrain,charger,test system
Artificial Intelligence Data Analysis (AIDA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Italy,Greece,Belgium,France,Netherlands,United States
Call: Scientific data exploitation (H2020-COMPET-2017, 2017)
Start date: 2018-09-01
End date: 2022-02-28
Duration (months): 42.0
Total project cost (EUR): 1499690.0
EU funding (EUR): 1499690.0
Participants: 8
Project status: CLOSED

AIDA brings a transformational innovation to the analysis of heliophysics data in four steps. First, AIDA will develop a new open source software called AIDApp written in Python (a free language) and capable of collecting, combining and correlating data from different space missions. AIDApp wants to replace mission-specific tools written for costly languages (such as IDL) that exclude many scientists, students and amateur space enthusiasts from exploring the data, with a much-needed single platform where methods are shared and continuously improved by the whole community. Second, AIDA will introduce modern data assimilation, statistical methods and machine learning (ML) to heliophysics data processing. Unlike traditional methods based on human expertise, these methods rely on statistics and information theory to extract features that are hidden in the data. Third, AIDA will combine real data from space missions with synthetic data from simulations developing a virtual satellite component for AIDApp. This feature will be demonstrated in the comparison with existing mission data and in the planning of new missions (e.g. ESA’s THOR). Fourth, AIDA will deploy in AIDApp methods of Artificial Intelligence (AI) to analyse data flows from heliophysics missions. This task requires bridging together competences in computer science and in heliophysics and pushes well beyond the current state of the art in space data analysis, connecting space researchers with AI, one of the fastest growing trends in modern science and industrial development. AIDA will use the new AIDApp in selecting key heliophysics problems to produce a database (AIDAdb) of new high-level data products that include catalogs of features and events detected by ML and AI algorithms. Moreover, many of the AI methods developed in AIDA will themselves represent higher-level data products, for instance in the form of trained neural networks that can be stored and reused as a database of coefficients.

Keywords: artificial intelligence,machine learning,helioscience
INvestigating SDN Programmability ImpRovING optical South- and North- bound Interfaces (INSPIRING-SNI)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-03-01
End date: 2020-04-25
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

Population needs for Internet connectivity rely on carrier networks currently challenged by the ever-increasing network complexity, traffic volume, and dynamicity. Software Defined Networking (SDN) has entered the networking scene as an enabling technology that brings programmability to the network by decoupling the forwarding data-plane actions from the logic control-plane decisions through application programming interfaces. However, the variety of controllers governing different network segments and interfaces for control and management endangers actual carrier-grade SDN deployments. INvestigating SDN Programmability ImpRovING optical South- and North- bound Interfaces (INSPIRING-SNI) aims to enhance programmability in SDN ecosystems addressing two critical aspects. First, INSPIRING-SNI will control, manage and operate technology diverse environments through the SouthBound Interface (SBI) relying on innovative industry-driven standardization initiatives such as OpenROADM and the expertise of Dr. Garrich in experimental SDN applications for optical networks. Second, INSPIRING-SNI will develop an optimization-as-a-service (OaaS) framework for dynamic optimisation of multilayer backbone/metro networks (IP over optical) jointly with metro/access segments via the NorthBound Interface (NBI), greatly widening Dr. Garrich's background and empowering his career perspectives. The OaaS framework will be based on the open-source network planning tool Net2Plan, developed within the host group, that is receiving a growing international attention and funding from industry and academia. INSPIRING-SNI will include a strategic inter-sectorial secondment at TID to experimentally validate the SBI and NBI proposals and to provide to the host and Dr. Garrich a realistic perspective on telecom operator needs and challenges. INSPIRING-SNI is in-line with an expression of interest of the host institution and EU Research and Innovation effort on ICT.

Keywords: software defined networking,multilayer optical networks,optimization in network operation and planning
Computational Microscope on Molecular Binding: from atom to cell membrane scale (CoMMBi)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Switzerland
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 1999497.0
EU funding (EUR): 1999497.0
Participants: 1
Project status: SIGNED

Molecular binding is a major research topic that has undoubtedly benefited of recent technological innovation, especially in the area of the so-called computational sciences. However, the predictive power of computations remains low mainly due to the poor correlation of the in-silico models with the real world. A clear example is drug discovery where the drug in vivo efficacy is seen correlated to the ligand residence time, which is hardly predictable by current computational methods. The present proposal tackles the challenge aiming at reshaping the border of the state-of-the-art simulations in molecular binding. I outline a research program that realises a vision where drug design is entrusted to ligand binding affinity and kinetics prediction, and molecular binding interactions are simulated in a realistic plasma membrane model. To achieve the ambitious goals of the research, my team will develop and apply cutting-edge computational techniques based on free-energy calculations, machine learning and multiscale molecular dynamics simulations. Evidence of the innovative nature of the developed approaches will be given by elucidating fundamental aspects of the functional mechanism of the G-protein coupled receptors (GPCRs), a pharmacologically prominent membrane protein family targeted by ~ 40% of marketed drugs. We will achieve a thorough characterization of the binding thermodynamics and kinetics of signal molecules (antagonists and agonists) that will be used by an original machine learning model to identify novel receptor antagonists with prescribed binding affinity and residence time. We will then investigate the receptor conformational transition from the inactive to the active state and develop an ad hoc multiscale approach to characterize the formation of GPCRs dimers, oligomers and clusters in cell membrane and their interaction with the G-protein that activates the signal transduction. Experiments will be performed to validate all the in-silico results.

Keywords: funnel metadynamics,metadynamics,molecular dynamics,ligand binding free energy,martini coarse grained molecular dynamics
Towards a fundamental understanding of a gliding arc discharge for the purpose of greenhouse gas conversion into value-added chemicals (GlidArc)

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: Belgium
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-06-22
End date: 2017-06-21
Duration (months): 24.0
Total project cost (EUR): 160800.0
EU funding (EUR): 160800.0
Participants: 1
Project status: CLOSED

Global climate change due to anthropogenic greenhouse gas emissions is a growing concern. The conversion of greenhouse gases (mainly CO2, CH4) to value-added chemicals or renewable fuels is an effective strategy to reduce these emissions and an interesting process both from economic and ecological point of view. A gliding arc (GlidArc) plasma offers unique perspectives for activating inert molecules at mild conditions and allows the greenhouse gas conversion with limited energy cost. A GlidArc is, however, very complex and poorly understood. Therefore, this project intends to obtain more fundamental insight in the plasma-mechanisms of the GlidArc for greenhouse gas conversion, by means of extensive modeling, validated by experimental diagnostics. First, the chemical kinetics in the GlidArc for greenhouse gas conversion will be studied. Second, this plasma chemistry will be incorporated in a coupled magnetohydrodynamics (MHD) - kinetics model to study the spatial and temporal plasma properties. The model will be validated by experiments, to be carried out during the secondment. Furthermore, the effects of various operating parameters, such as the CH4/CO2 ratio, the discharge power and the gas flow rates, on the gas conversion, the yields of the formed products and on the energy efficiency will be analyzed, in order to predict which conditions give rise to the highest and most energy-efficient conversion. This project is very interdisciplinary, including chemistry, physics, chemical engineering, mathematics and computer modeling, with application in environmental science and sustainable chemistry. Definitely it will extend the applicant’s skills in plasma modeling to a much broader field, with new applications, and enhance his creative and innovative potential by advanced training in an international research environment.

Keywords: gliding arc,plasma modeling,plasma chemistry,pollution control,greenhouse gas conversion