Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Immersive Metaphoric Experiences for Well-Being (IMSquared)

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: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-03-01
End date: 2024-02-01
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: SIGNED

The goal of IMSquared (IM2) is to develop and validate a repository of immersive metaphoric experiences (IMMEs) aimed at restoring physical and emotional wellness in tandem and to provide a brain-body-media computer interface (BBMCI) and toolkit that facilitates visual-gestural interaction, neural-behavioral analysis, generation and optimization of IMMEs with implications for physical therapy (neurorehabilitation) and commercial therapeutic applications. The development and validation of IMMEs will draw on state-of-the-art research across cognitive science/AI, cognitive neuroscience, and computational linguistics looking at the embodiment, neural coding, and the psychological reality of various conceptual metaphors relating to wellness and health. According to conceptual metaphor theory, abstract concepts are structured through cross-domain mappings with more concrete domains due to co-occurrences between these concepts during development. For example, our experience with upward motion becomes associated with well-being (e.g., getting up in the morning), while downward motion becomes associated with ill-being (e.g., lying down when sick), leading us to conceptualize good and bad things in terms of verticality (e.g., “lifting her spirits”, “feeling down”). Growing behavioral evidence suggests that much of thought may be metaphorical in nature and that the relevant physical experience can have consequences for emotion and behavior, yet the systematic investigation of conceptual mappings and their embodiment within HCI, particularly involving media-gestural interfaces, in wellness research is lacking. In summary, IM2 paves the way for more neurocognitively-inspired HCI-wellness research influenced by our understanding of minds, brains, machines, and our new abilities to interact with virtual semantic content, transforming our approach to addressing wellness and health during recovery.

Keywords: interactive machine learning,media gestural computer interfaces,brain computer interfaces,human computer interaction for wellness research,affective computing,positive computing
Hyperrealistic Imaging Experience (RealVision)

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,Belgium,France,France,France,France,United States,United Kingdom,United Kingdom,United Kingdom,Canada,Denmark,Denmark,United Kingdom,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2018-01-01
End date: 2022-06-30
Duration (months): 54.0
Total project cost (EUR): 4076702.28
EU funding (EUR): 4076702.28
Participants: 23
Project status: CLOSED

The aim of realistic digital imaging is the creation of high quality imagery, which faithfully represents the physical environment. The ultimate goal is to create images, which are perceptually indistinguishable from a real scene. The RealVision network brings together leading universities, centers focused on industrial development and companies in Multimedia, Optics, Visual Communication, Visual Computing, Computer Graphics and Human Vision research across Europe, with the aim of training a new generation of scientists, technologists, and entrepreneurs that will move Europe into a leading role in innovative hyper-realistic imaging technologies. Current imaging technologies capture only a fraction of visual information that the human eye can see. The colours and dynamic range are inadequate for most real-world scenes and not all depth cues required for natural 3D vision are captured. This limits the realism of the experience and has hampered the introduction of 3D technology. Advancement in imaging technologies makes it possible to circumvent these bottlenecks in visual systems. As a result, new visual signal-processing areas have emerged such as light fields, ultra-high definition, highframe rate and high dynamic range imaging. The novel combinations of those technologies can facilitate a hyper-realistic visual experience. This will without doubt be the future frontier for new imaging systems. However there are several technological barriers that need to be overcome as well as challenges in what are the best solutions perceptually. The goal of this network is to combine expertise from several disciplines as engineering, computer science, physics, vision science and psychology – usually disconnected – and train ESRs to be capable of working with all stages and aspects of visual processing to overcome existing interdisciplinary and intersectorial barriers to efficiently develop truly perceptually better visual imaging systems.

Keywords: light field images,image processing,perceptual quality
Solar Fuel Generation through Photoelectrochemical Reduction of CO2 Using Copper Porphyrins in Molecularly Designed Reaction Environments (SolTIME)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: SIGNED

Solar fuels can be synthesized by integrating electrocatalysts with semiconductors, using sunlight to drive endergonic chemical reactions. Employing molecular electrocatalysts allows the tunability, selectivity, and three-dimensional architectures associated with molecular components to be combined with the solar energy capture and conversion properties of solid-state semiconducting materials. However, there is a lack of understanding of how photo-generated carriers are transported through these systems, disfavouring the rational design of efficient photoelectrocatalytic constructs. This proposal aims to interface copper porphyrins with built-in hydroxyl groups, known catalysts for CO2 reduction, to carbon nitride for photo-promoted generation of highly reduced products from CO2, including methane and ethanol. Catalytic activity and selectivity will be studied by using multi-dimensional approaches for porphyrin immobilization, drawing inspiration from the extended coordination spheres crucial in biological tuning of enzymatic activity. This will be achieved through synthesis of three distinct reaction environments at carbon nitride consisting of: a porphyrin monolayer, a polymer film coordinating the porphyrin, and a 2-D highly ordered covalent-organic framework (COF) composed of the porphyrin. It is expected that these specialised environments will give rise to distinct kinetic responses and product distribution. Existing electrochemical models will be extended to this photoelectrochemical data to investigate the interplay of light flux, substrate and electron diffusion, and catalytic rates, leading to the extrapolation of fundamental principles governing interfacial photo-induced charge transfer at catalytic thin films. Through this project, leadership training, language acquisition, and communication skills will be emphasized, furthering the experienced researcher’s career goals and preparing her for an independent career in solar fuels.

Keywords: solar fuels,photoelectrochemistry,co2 reduction,catalytic thin films,extended coordination environments,surface chemistry,covalent organic frameworks,molecular catalysts,copper porphyrins
MICROALGAE PROTEIN INGREDIENTS FOR THE FOOD AND FEED OF THE FUTURE (ProFuture)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable and competitive agri-food sector for a safe and healthy diet
Action type: Innovation actions
Countries involved: Spain,Italy,Italy,Italy,Austria,Germany,Spain,Germany,Germany,Estonia,Italy,Spain,Belgium,Belgium,Switzerland,Belgium,Norway,Switzerland,Greece,Hungary,France,France,Netherlands,Netherlands,Netherlands,Netherlands,Portugal,Portugal
Call: Alternative proteins for food and feed (H2020-SFS-2019-1, 2019)
Start date: 2019-10-01
End date: 2023-12-31
Duration (months): 51.0
Total project cost (EUR): 9448451.25
EU funding (EUR): 7775109.01
Participants: 33
Project status: SIGNED

ProFuture will set the basis for market uptake of innovative, healthy and sustainable food and feed products, reformulated with protein-rich ingredients from Spirulina, Lemon/lightly/Chlorella vulgaris, Tetraselmis chuii and Nannochloropsis oceanica. Multi-factors approach and LCA/LCC will boost sustainability of the microalgal biomass production and processing, by reducing energy/water consumption and the carbon footprint. Implementation of innovative technologies will increase the efficiency and decrease the production costs of biomass, ingredients and foods/feeds. Optimized workflows will be tested at pilot plant, as part of a biorefinery process, to produce single-cell proteins and protein isolates, which will be characterized for their nutritional, safety, techno-functional and organoleptic properties as well as for economic viability & sustainability. Food and feed will be formulated with the novel ingredients at pilot plant level in collaboration with SME and large companies. Single-cell proteins will be incorporated in foods (n=6) and feeds (n=5) which will be produced at industrial scale. The food/feed microalgae value chain in EU will be analysed and improvements will be proposed to increase the economic viability and the communication between actors. Social and economic benefits of innovative food and feed products will be demonstrated by: i) supporting the authorization of novel microalgae protein ingredients for food and/or feed applications in the EU, ii) assessing consumer acceptance of and preference for microalgae protein-based products, iii) preparing a successful market implementation and exploitation of the project results and iv) devising a dissemination and communication plan for maximum outreach to all relevant stakeholders. ProFuture consortium (8 RTDs, 16 SMEs, 8 large industries and 1 association) brings together expertise with a clear market orientation to increase the competitiveness of the EU microalgae value chain.

Keywords: microalgae,protein,sustainability,food,feed
Psychosystems: Consolidating Network Approaches to Psychopathology (Psychosystems)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Netherlands
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-09-01
End date: 2021-08-31
Duration (months): 72.0
Total project cost (EUR): 1959690.0
EU funding (EUR): 1959690.0
Participants: 1
Project status: CLOSED

I have recently introduced the Network Approach to Psychopathology. This approach is based on the interpretation of mental disorders as causal systems. Such systems have two basic building blocks: symptoms (i.e., problems like insomnia, fatigue, and concentration problems) and connections between symptoms (i.e., causal and homeostatic relations, such as insomnia → fatigue → concentration problems). Together, these building blocks constitute a network, which can be analyzed as a complex system. I have successfully used this approach to explain important phenomena in psychopathology research, such as comorbidity, spontaneous recovery, and prevalence differences between disorders. In addition, I have invented techniques to identify dynamic network structures from time series data, as obtained through experience sampling methodology. This proposal consolidates the Network Approach to Psychopathology through (a) further development and testing of methodologies, and (b) applications of the model to important research domains in clinical psychology. The project is structured in two postdoc projects and two Ph. D. projects. Postdoc project Network estimation and control develops analysis techniques for the estimation of large symptom networks. Postdoc project Early warning signals and transitions investigates whether transitions in symptom networks can be predicted using early warning signals, such as critical slowing down. Ph. D. project Resilience and vulnerability tests the hypothesis that more strongly connected networks are more vulnerable to disorders and investigates whether depressive episodes lead to prolonged changes in network structure. Ph. D. project The dark matter of psychopathology investigates the role of "anti-symptoms" – networks of positive factors that have buffering effects on symptom networks. This new approach to the study of psychopathology aims to establish a breakthrough in the understanding of mental disorders.

Keywords: network analysis,multilevel modeling,time series analysis,psychometrics,statistics,dynamical systems,complexity
Centric Recipocating Compressor (CR-Compressor)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Norway
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2015, 2015)
Start date: 2016-04-01
End date: 2016-09-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Acknowledging that energy prices define competitiveness of many industries and compressors represent energy-hungry core manufacturing technology, Otechos aims to offer market leading energy-efficient compressor technology for industrial applications, being the natural choice for industries seeking environmental friendly solutions with low total cost of ownership. With a new, premium type industrial compressor (CRC) for air and gases, based on our patent pending Centric Reciprocating Technology (CR-T), we will disrupt the existing, fast growing market for industrial compressors by offering end-customers 30% less energy consumption than existing technology, yielding improved competitiveness through reduced total cost of ownership while offering substantial environmental benefits. It not only meets key purchasing criteria, it defines a new standard. By offering the CRC as core component in turnkey compressor solutions delivered by strategic partners, Otechos, with its entrepreneurial and competent management team, will draw strengths from existing market channels and international partnerships. Initial penetration will focus on CRC application in nitrogen production generators for marine and oil & gas. New partnerships, to be initiated in phase 1, will open up the global potential in the broader €25,6 billion (2020) compressor market offering a CAGR of 7,1%. The P/L forecast shows a highly profitable business from year 3, following an investment of €2,3 mill and initial penetration of UK, Germany and Norway. As a bonus, the core technology CR-T has unique characteristics that makes it applicable in other areas as OTTO-type engines, pump technologies and gas / steam expander machines. Hence multiple business opportunities surface beyond compressor applications. Phase 1 will detail the rich potential of the patent pending technology and enhance the business plan.

Keywords: crc is a compressor technology with low energy consumption,no lubrication in the process unit,free discharge air the technology is small and compact including nearly vibration free
Intelligent Innovative Smart Maintenance of Assets by integRated Technologies (IN2SMART)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: European rail initiative
Action type: Research and Innovation actions
Partnership: Shift2Rail (Art-187)
Countries involved: Austria,Germany,Germany,Germany,Spain,Spain,Italy,Germany,Spain,Austria,Italy,Sweden,Switzerland,Türkiye,Sweden,Sweden,France,France,Netherlands,United Kingdom,United Kingdom,United Kingdom,Portugal,United Kingdom
Call: Intelligent maintenance systems and strategies (H2020-S2RJU-CFM-2016-01-1, 2016)
Start date: 2016-09-01
End date: 2019-10-31
Duration (months): 38.0
Total project cost (EUR): 7290632.5
EU funding (EUR): 7290632.5
Participants: 30
Project status: CLOSED

IN2SMART represents the 1st proposal of the Shift2Rail members referred, according to MAAP, to the following Technology Demonstrators (TDs): TD3.7 Railway Information Measuring and Monitoring System (RIMMS), TD3.6 Dynamic Railway Information Management System (DRIMS) and TD3.8 Intelligent Asset Management Strategies (IAMS). These TDs will deploy an overall concept for Intelligent Asset Management based on the following three main interlinked layers: •Measuring and Monitoring systems to collect data from the field related to the railway assets status: IN2SMART will develop unmanned systems for “remote” monitoring; track geometry, switches & crossings and signalling monitoring systems; innovative measurement of train parameters and wheel defects combined with rolling stock identifications systems. •Data management, data mining and data analytics procedures to process data from the field and from other sources: IN2SMART will develop standard open interfaces to access heterogeneous maintenance-related data; analytic tools to automatic detect anomalies, discover and describe maintenance workflow processes and predict railway assets decay towards prescriptive maintenance. •Degradation models and decision making tools to support maintenance strategies and execution: IN2SMART will lay the foundation of a generic framework for asset management and decision support process. This framework will specify the scope, objectives, workflow and outcomes of the decision-making process for maintenance interventions planning, and will be the enabler for the development of future decision support tools and systems. IN2SMART will also develop an optimised tamping tool and a robot platform for maintenance works. IN2SMART will complement the work of the IN2RAIL lighthouse project to reach a homogeneous TRL4/5 demonstrator. The following Grant will start from IN2SMART to reach the final Integrated Technology Demonstrators that will deploy the overall concept of Intelligent Asset Management.

Keywords: maintenance,measuring and monitoring,dynamic information management,asset management strategies
Paraplegia Prevention in Aortic Aneurysm Repair by Thoracoabdominal Staging with ‘Minimally-Invasive Segmental Artery Coil-Embolization’: A Randomized Controlled Multicentre Trial (PAPA-ARTIS)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Germany,Germany,Spain,Italy,Italy,Germany,Switzerland,Poland,Poland,Sweden,Sweden,France,France,France,France,France,France,United States,Netherlands,Denmark,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: New therapies for chronic diseases (H2020-SC1-2016-RTD, 2016)
Start date: 2017-01-01
End date: 2023-03-31
Duration (months): 75.0
Total project cost (EUR): 6187672.5
EU funding (EUR): 5913922.5
Participants: 34
Project status: SIGNED

Chronic aortic aneurysms are permanent and localized dilations of the aorta that remain asymptomatic for long periods of time but continue to increase in diameter before they eventually rupture. Left untreated, the patients’ prognosis is dismal, since the internal bleeding of the rupture brings about sudden death. Although successful treatment cures the disease, the risky procedures can result in paraplegia from spinal cord ischaemia or even death, particularly for aneurysms extending from the thoracic to the abdominal aorta and thus involving many segmental arteries to the spinal cord, i.e. thoracoabdominal aortic aneurysms of Crawford type II. Although various strategies have achieved a remarkable decrease in the incidence of paraplegia, it is still no less than 10 to 20%. However, it has been found that the deliberate occlusion of the segmental arteries to the paraspinous collateral network finally supplying the spinal cord does not increase rates of permanent paraplegia. A therapeutic option, ‘minimally invasive segmental artery coil embolization’ has been devised which proceeds in a ‘staged’ way to occlude groups of arteries under highly controlled conditions after which time must be allowed for arteriogenesis to build a robust collateral blood supply. PAPA-ARTiS is a phase II trial to demonstrate that a staged treatment approach can reduce paraplegia and mortality dramatically. It can be expected to have both a dramatic impact on the individual patient's quality of life if saved from a wheelchair, and also upon financial systems through savings in; 1) lower costs in EU health care; 2) lower pay-outs in disability insurance (est. at 500k in Year 1), and; 3) loss of economic output from unemployment. Approx. 2500 patients a year in Europe undergo these high risk operations with a cumulative paraplegia rate of over 15%; therefore >100M per year in costs can be avoided and significantly more considering the expected elimination of type II endoleaks.

Keywords: aortic aneurysm repair,paraplegia prevention,randomized controlled trial,thoracoabdominal,open repair,spinal cord protection