Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Assessing the aerosol radiative impact employing advanced methods to reduce uncertainties in the aerosol optical properties (REDRAF)

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: Environment and Geosciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-01
End date: 2018-09-30
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Understanding how anthropogenic aerosols impact the Earth’s climate system is a daunting challenge. Aerosol radiative effects are strongly dependent on the optical and microphysical properties of the particles. Uncertainties in the absorption coefficient and the single scattering albedo (SSA) contribute significantly to the overall uncertainties in the optical properties of aerosol and their radiative effect. Not only does hydration cause an increase in size, but it also alters the complex refractive index (RI) of the particle; the real part of the RI governs the scattering of light by the aerosol and the imaginary part the degree of absorption. Thus, quantifying the relationships of chemical composition, relative humidity (RH) and particle phase with complex RI is critical for predicting the aerosol radiative forcing. Since these optical properties determine the magnitude and even the sign of the effect of aerosol on the Earth’s energy balance, it is vital that we understand their range. Although techniques have been developed to measure the scattering and absorption cross-sections of ambient and laboratory particles, interpreting measurements can be challenging. Using a new technique to accurately determine the extinction cross-sections of single particles developed in the Bristol laboratory, we will provide a rigorous assessment of treatments used to characterise the optical properties of aerosol. Of particular emphasis, we will examine the optical properties of mixed-component aerosol and the influence of chemical aging of organic aerosol on light absorption. Crucially, the parameterisations for optical properties that result will then be used to refine (and assess sensitivities of direct forcing to) the treatment of aerosol properties in radiative transfer and global climate models. This work will also provide crucial information to improve our understanding of field and remote sensing instruments.

Keywords: aerosol characterization,chemical composition,complex refractive index,radiative forcing
eKoure: the world´s first wireless stethoscope of the mhealth market. (eKuore)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Spain
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

Kukupia aims to make citizen’s health monitoring possible from home through the use of ICT medical tools connected to the patient´s and/or doctor´s smartphones to enhance diagnosis quality, clinical follow-up and disease prevention. eKoure is a wireless stethoscope that allows to detect possible cardiac abnormalities using Bluetooth technology to transmit audio auscultation to ICT devices. Through a mobile application, the tool allows to save audio auscultations, display different parameters (such as heart rate or breathing), and even share the recorded auscultation with other users (whether customers, students or specialists) to simultaneously analyse the information, easing health or treatment monitoring. These features make eKuore, the world´s first wireless electronic stethoscope with smartphone connection, which further improves the quality and power of the sound up to 20 times compared to traditional stethoscopes. eKuore is the Kukupia´s first product and has been designed and manufactured entirely by the company´s R&D team based on the success of the device for veterinarian application, with the aim of introducing the product into the healthcare and chronic patients markets. Currently there isn’t in the market a stethoscope with such high audio quality which furthermore allows audio auscultations storage and sharing with other users through smartphones, tablets or computers. The potential users can be grouped in professionals (doctors from all kind of medical specialities, in particular pulmonologists and cardiologists, students, practitioners, teachers, telemedicine companies, etc.) and individuals (particularly chronic cardiovascular patients). The implementation of the studies planned for phase 1, will contribute to define the products´ commercial design, manufacture and marketing strategy enhancing the quality of the company´s business plan and contributing to market replication success.

Keywords: innovative,state of the art,electronic,devices,tool,tablet,ehealth,efficient,monitoring
Supporting the interaction of Humans and Automated vehicles: Preparing for the EnvIronment of Tomorrow (Shape-IT)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,Germany,Sweden,Netherlands,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2019-10-01
End date: 2024-03-31
Duration (months): 54.0
Total project cost (EUR): 4098251.16
EU funding (EUR): 4098251.16
Participants: 6
Project status: SIGNED

The overall goal of this ETN is to enable rapid and reliable development of safe and user-centred automated vehicles (AVs) for urban environments.Vehicle automation has been identified as a game-changer in transport, promising substantial reductions in road-traffic fatalities while improving mobility. However, the processes to integrate automation in transport have been primarily technology-focussed, with insufficient consideration given to how users both inside and outside of the AVs will interact with AVs. The main objective of SHAPE-IT is to facilitate the safe, acceptable (and, ideally, desirable) integration of user-centred and transparent AVs into tomorrow’s mixed urban traffic environments, using both existing and new research methods, designing advanced interfaces and control strategies.To realize the objective, the research in this project spans three complementary facets of AV/human factors research: a) understanding the behaviour of different road-users (inside and outside AVs) when interacting with AVs, investigating cognitive processes, predictability, trust, acceptance and safe interaction in initial and long-term AV exposure, b) researching the best design strategies for interfaces used for communication and interaction between AVs and humans (inside and outside AVs), and c) integrating knowledge on human/AV interactions into models to perform prospective mixed traffic AV safety assessments. As AI is a core technology for AV development, this ETN will also seek to integrate knowledge of human factors with that of AI in AV development, reducing the gap between human-factors and AI scientists and AV software developers.The main educational aim of this ETN is to deliver a future generation of human factors researchers with an excellent multidisciplinary (cognitive and behavioural psychology, human-factors, computer science, and engineering) education in human factors experimental and modelling methods, human-AV interaction, safety analysis and AV design.

Keywords: user acceptance,automated vehicles,artificial intelligence,human factors,automotive,driver behaviour
The History of Merging Compact-Object Binaries (HOMERICS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Italy,United States
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-10-03
End date: 2021-10-02
Duration (months): 36.0
Total project cost (EUR): 244269.0
EU funding (EUR): 244269.0
Participants: 2
Project status: CLOSED

With the first direct detections of merging black holes, the gravitational-wave (GW) era has begun, but the mechanisms that trigger the formation and coalescence of compact-object binaries are still unknown. The aim of the HOMERICS project is to shed light on the history of merging compact-objects binaires by means of N-body + stellar evolution simulations with up-to-date input physics. The goal is to break the degeneracy between primordial and dynamically-formed binaries in order to interpret present and forthcoming gravitational-wave detections. The first objective is to make predictions on the formation of GW sources in the field, by means of up-to-date population synthesis simulations. The second objective is to study the effects of the joint contribution of up-to-date stellar evolution and dynamics on the formation of GW sources in dense stellar environments. The codes developed and used for the HOMERICS project will be designed to run on different parallel computing accelerators by means of the OpenCL programming directives, and the new Intel Advanced Vector Extensions. The codes and the HOMERICS simulation data will be made public through the GitLab platform and an open research data archive, respectively. The open access archive will be the first of its kind and it will contain a huge amount of raw data that users can exploit to investigate a plethora of astrophysical phenomena, not necessarily related to the HOMERICS research area. The HOMERICS project will also set a new state-of-the-art for direct N-body + stellar evolution simulations and it will significantly extend our knowledge of GW sources. At the same time, the experienced researcher will acquire many new competences by following an effective training-through-research path, laying the ground for leading his own research group after the end of the fellowship.

Keywords: star cluster dynamics,n body and population synthesis codes,stellar black holes
DiarY by Nurses' iMplemented in the Intensive Care unit (DYNaMIC)

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: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Duration (months): 24.0
Total project cost (EUR): 172800.0
EU funding (EUR): 172800.0
Participants: 1
Project status: CLOSED

Nursing is the largest healthcare discipline worldwide and nurses play vital roles in the healthcare system. Clinical guidelines and protocols are available to provide safe and effective nursing care, but implementing these in routine care is not easy. So far, nursing implementation science has provided little evidence to guide the development of implementation strategies for influencing nurses’ professional behaviors. The proposed research addresses an urgent question in the field of nursing implementation science: What are effective strategies to change nurses’ behavior towards successful implementation of evidence-based interventions? The focus will be on ICU-nursing care and specifically on diaries kept by nurses in this setting. An ICU-diary of events during admission improves patients’ psychological recovery and prevents post-traumatic stress. In this action, the Consolidated Framework for Implementation Research will be used in combination with several original approaches and innovative implementation methods. First, a qualitative study will explore barriers and facilitators among ICU staff (nurses and physicians) and patients for implementation of the ICU-diary. Second, I will tailor my implementation strategy to the barriers and facilitators found, while extending traditional strategies with the involvement of patients’ relatives. Third, in a prospective implementation study I will assess implementation outcomes measures (fidelity with and coverage of implementation of diaries) as well as the clinical outcomes (e.g. anxiety, delusional memories, and PTSD) after ICU discharge. The research proposes a novel approach in a clinically relevant field. This grant would have a substantial impact on my short- and long-term scientific and career goals and will strengthen my scientific qualities. Undoubtedly, this action will boost the field of nursing implementation science in the EU member states, for example with regard to influencing nurses’ professional behavior.

Keywords: implementation science,nursing science,intensive care
Computer aided desing for next generation flow batteries (CompBat)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: A single, smart European electricity grid
Action type: Research and Innovation actions
Countries involved: Italy,Russian Federation,Finland,Finland,Hungary,Sweden,Finland
Call: Modelling and simulation for Redox Flow Battery development (H2020-LC-BAT-2019, 2019)
Start date: 2020-02-01
End date: 2023-05-31
Duration (months): 40.0
Total project cost (EUR): 1751485.0
EU funding (EUR): 1751485.0
Participants: 7
Project status: SIGNED

CompBat will focus on developing tools for discovery of new prospective candidates for next generation flow batteries, based on machine learning assisted high-throughput screening. Density functional theory calculations will be used to obtain data on solubilities and redox potentials of different molecules, and machine learning methods are used to develop high-throughput screening tools based on the obtained data. The results of the high-throughput screening are validated with experimental results. Target molecules will be bio-inspired organic compounds, as well as derivatives of the redox active specialty chemical already manufactured in bulk quantities. Stability and reversibility of the molecules will also be investigated by DFT calculation, experimental investigations and machine learning methods, for a selected group of interesting molecules. Numerical modelling of flow battery systems will be performed with finite element method, and with more general zero-dimensional models based on mass-transfer coefficients. The models will be verified experimentally, and the modelling will generate a data-set to allow prediction of the flow battery cell performance based on properties of the prospective candidates obtained from high-throughput screening. This data is used then to predict the flow battery system performance from the stack level modelling. Freely available cost estimation tools are then adapted to estimate the system performance also in terms of cost. This approach will allow prediction of the battery performance from molecular structure to cost. Furthermore, the concept of using solid boosters to enhance the battery capacity will be investigated by developing models to simulate the performance of such a systems, and validating the models experimentally with the candidates already reported in the literature.

Keywords: high throughput screening,machine learning,finite element method,zero dimensional modelling,bio inspired,flow battery
Amyotrophic Lateral Sclerosis from a cortical perspective: towards alternative therapeutic strategies (CorticALS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: France,France
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-04-01
End date: 2021-03-31
Duration (months): 72.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 2
Project status: CLOSED

Amyotrophic Lateral Sclerosis (ALS) is the most common adult-onset neurodegenerative disease of the motor system, with a prevalence of 2-3/100 000. In spite of intensive research efforts, ALS remains an incurable disease and presents with a very severe prognosis, leading to patient death within 2 to 5 years following diagnosis. At the cellular level, ALS is characterized by the combined degeneration of both upper motor neurons (UMN, or corticospinal motor neurons) whose cell bodies are located in the cerebral cortex, and that extend axons to the medulla and spinal cord, and lower motor neurons (LMN, or spinal motor neurons) whose cell bodies are located in the medulla and spinal cord, and that connect to the skeletal muscles. This dual impairment allows to discriminate ALS from other, less severe diseases affecting either UMN or LMN. Despite this precise clinical description, it is striking to note that preclinical studies have so far mostly concentrated on LMN, leaving aside the role of UMN in ALS. This project aims at shedding light on the contribution of the dysfunction and/or the loss of UMN in ALS, in order to design and test new therapeutic strategies based on the protection and/or the replacement of this exact neuronal type. This innovative question has never been directly asked so far. Our working hypothesis is that specific neurodegeneration of UMN, in the course of ALS, does not represent an isolated side effect, but rather actively contributes to the onset and progression of the disease. Based on the discovery of new molecular players, and the development of alternative therapies, this original thematic has the ambition to provide clinicians and patients with new answers and new therapeutic assets.

Keywords: amyotrophic lateral sclerosis,cortico spinal motorneurons,cell intrinsic and cell extrinsic mechanisms,endogenous neural stem cells programming,gene delivery,regenerative therapy
A Semantic Foundation for Persistent Programming (PERSIST)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-03-01
End date: 2026-02-28
Duration (months): 60.0
Total project cost (EUR): 1999300.0
EU funding (EUR): 1999300.0
Participants: 1
Project status: SIGNED

Non-volatile memory (NVM) is an emerging technology that provides orders of magnitude faster access to persistent storage (which preserves its contents after a crash or a power failure) than hard disks. While NVM is expected to radically change how we manage storage in applications, its programming model is standing on very shaky foundations. The persistency semantics of the mainstream architectures is very unclear and full of counterintuitive behaviours. As a result, writing correct NVM programs is extremely difficult: there is no support for persistent programming in programming languages nor any techniques for testing and verifying their correct recovery from crashes. PERSIST will develop a solid mathematical basis for determining the possible outcomes of persistent programs and reasoning about their correctness. More specifically, it will produce: (1) formal empirically-validated persistency models for mainstream hardware architectures, (2) formal efficient persistency models for mainstream programming languages, (3) firmly-grounded higher-level abstractions to ease persistent programming, and (4) the first effective testing and verification techniques for persistent programs.

Keywords: semantics of programming languages,verification,non volatile memory,weak memory consistency,persistent memory,concurrency,program logic,model checking
X5 bitworker - The Copying System for the Internet of Things and Industry 4.0 (X5 bitworker)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Austria
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-12-01
End date: 2017-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The software of products plays a more and more increasing role. It is placed on different types of data carriers (e.g. USB, Compact Flash, SD Card) which are assembled in each of these products (e.g. car infotainment system, washing machine, toys). Digitalisation provides opportunities like customisation and interconnectivity and is basis for applications in Internet of Things and Industry 4.0, but also opens up huge security leaks. The X5 solution secures the product software and its know how and protects them from data theft and hacking attacks. In the past 2 years, X-Net developed the globally unique solution named X5 to assemble customised software on each product for its key customers BOSCH and NOVOMATIC. This enabled in-house and in-line production and individualisation of product software. But most of all it additionally helps to protect European product software (where today most of the know how is based) through unique encryption. The reference installations at BOSCH and NOVOMATIC demonstrate requirements, impact and potential of a fully integrated production with worldwide highest security level. The know how X-Net gained through that is very important for other European and global companies, too. SME instruments should help to build up the market for this solution and bring the expertise to these companies having high needs. X-Net will roll out the X5 solution in Europe and further on globally. Yearly revenues of about 14 million EUR in 2019 and 78 million EUR in 2021 are expected.

Keywords: internet of things,industry 4 0,recording of data carrier,data security,digitalisation of products,market entry,distribution netzwork,disruptive innovation,open source