Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Wireless intelligent system for environmental evaluation, safety monitoring and guidance for recreational and Ecotourism underground activities (UNDERSAFE)

Framework: FP7 — Capacities
Programme: Research for the benefit of SMEs
Destination: Research for SMEs
Action type: Research for the benefit of specific groups
Countries involved: Estonia,Spain,Spain,Poland,Spain,United Kingdom,Poland,North Macedonia
Call:  (FP7-SME-2011, 2011)
Start date: 2011-10-01
End date: 2013-09-30
Duration (months): 24.0
Total project cost (EUR): 1371245.0
EU funding (EUR): 1045400.0
Participants: 9
Project status: CLOSED

Undersafe is a system which will provide constant, round-the-clock monitoring of environmental and other conditions in underground sites open for recreational and tourist purposes. The UnderSafe system will be based on wireless technologies. The objective is to develop a safety system which will detect and provide early warning about a number of conditions that can pose a danger to those underground. It will be based on low cost and low consumption communication technology, which offers robust conditions in front of electromagnetic disturbances. The basic system will include a number of nodes along the underground space, located in the upper limits of the walls (Static Nodes). The different nodes have to be situated sight-to-sight with at least 2 nodes, accomplishing the communication channel. Visitors will wear specifically designed nodes (mobile nodes), which will communicate with static nodes. The system will include the following characteristics and capabilities: i) Only power wire is needed, in order to power supply to wall routers; ii) Low maintenance cost; iii) Low cost; iv) Robustness: IP compliant for hazardous ambient; v) Static node sensing of temperature, humidity, light, pressure, sound and gas (O, CO, CO2) sensing capabilities; vi) specialized static nodes for vibration sensing and landslide detection vii) mobile nodes.

Keywords: environment,safety,wireless,zig bee,artificial intelligence,expert system
Patient-specific predictions for bone treatments (CAD-BONE)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Spain,Belgium
Call:  (FP7-PEOPLE-2011-IAPP, 2011)
Start date: 2012-01-01
End date: 2015-12-31
Duration (months): 48.0
Total project cost (EUR): 582790.0
EU funding (EUR): 582790.0
Participants: 3
Project status: CLOSED

CAD-BONE addresses a multidisciplinary research that will transform current technology by radically improving the development of patient-specific computer models for the modelling of bone remodelling/healing to predict short and long-term bone response after surgical interventions. Specifically, CAD-BONE will combine image processing, musculoskeletal modelling tools, finite element analyses and bone remodelling/healing algorithms to provide an understanding of the individual functional outcome of patient treatments from standard clinical radiographs. Although already developed and broadly in use, these computer technologies and methods are yet to be combined and integrated to create a computer tool with a predictive purpose. To successfully achieve this objective different scientific and technological challenges will be faced. Firstly, the automatic construction of patient-specific finite element models of specific bones (including geometries, loads and boundary conditions). Secondly, The improvement of current bone remodelling/healing models, which are very slow, labour-intesive and costly processes, in order to achieve accurate near real-time results; to do so, different strategies based on model reduction techniques will be explored). And, finally, the quantitative validation of these patient-specific models. Such a validation will require a quantitative comparison between real bone density distributions obtained by computer tomography (CT) and those predicted from computer simulations. Therefore, we expect that CAD-BONE can lead to a preliminary tool for the prediction of bone morphological changes resulting from changes in mechanical loading conditions.

Keywords: technological sciences,musculoskeletal modelling tools,bone remodelling algorithms,bone healing models,finite element analysis,reduced-order modelling,near real-time simulations,quantitative va
MYOELECTRIC INTERFACING WITH SENSORY-MOTOR INTEGRATION (MYOSENS)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Germany,Italy,Austria,Austria
Call:  (FP7-PEOPLE-2011-IAPP, 2011)
Start date: 2012-04-01
End date: 2016-03-31
Duration (months): 48.0
Total project cost (EUR): 1728666.0
EU funding (EUR): 1728666.0
Participants: 5
Project status: CLOSED

Biological signals recorded from the human body can be translated into actions of external devices to create man-machine interaction. This concept has clinical implications in rehabilitation technologies for replacing or recovering impaired motor functions. Among the possible biosignals for man-machine interaction (brain, nerve, and muscle signals), muscle signals, i.e. electromyography (EMG), are the only that allow applications in routine clinical use within a commercially reasonable time horizon. Although the current efforts in myoelectric interfaces are mainly focusing on decoding EMG signals, myoelectric interaction has the unique and little exploited feature of provoking changes in the neural circuits that are active during the interaction, i.e. of artificially inducing brain plasticity. However, current commercially viable myoelecric interfaces do not implement sensory-motor integration (decoding intentions and at the same time providing a sensory feedback to the patient), which conversely is the basis of plasticity of the central nervous system. This limit reflects the gap between academic research and the clinical and commercial needs. Myoelectric interfacing with sensory-motor integration is indeed feasible now if the knowledge from basic neurophysiology research and signal analysis in the academia is transferred to industrial sectors and if the requirements of and testing for clinical and commercial viability are transferred from the industry to academia. With a consortium of internationally regarded European academic teams and industries, we thus propose the implementation of sensory-motor integration into commercially viable myoelectric devices in two key clinical applications: 1) training for the active control of prostheses; and 2) rehabilitation of stroke patients with robotics. These two areas require a similar technological ground for sensory-motor integration and for artificial induction of neural plasticity, necessary to (re)learn motor tasks.

Keywords: biomedical engineering,myoelectric prostheses,surface emg,sensory-motor integration,biosignal processing,rehabilitation robotics,motor control
IMPRoved food safety monitoring through Enhanced imaging nanoplaSmonicS (IMPRESS)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Netherlands,Italy,Denmark
Call:  (FP7-PEOPLE-2011-IAPP, 2011)
Start date: 2011-10-01
End date: 2015-09-30
Duration (months): 48.0
Total project cost (EUR): 589911.0
EU funding (EUR): 589911.0
Participants: 3
Project status: CLOSED

The objective of the IMPRESS project is to develop an affordable, portable, multiplexing and flexible Surface Plasmon Resonance (SPR) biosensor device (the IMPRESSOR), based on Plasmore’s nanotechnology expertise, to obtain a fast impression of the quality and safety of food. Affordable: the system will be affordable for any small or medium enterprise or even private user, which is producing or distributing or consuming food in any country or region of the world. Portable: the system will be easy-to-use in any environment and must work outside any specialized laboratory. Multiplexed: the system will be able to measure the concentration of many contaminants in a single sample of food and within a single measurement. Flexible: the system is designed to develop assays according to the wishes of the future users (customized). Fast: measurements are done in minutes and the sample-to-result time will be around 30 minutes. This will allow the real time monitoring of the quality of food. This system will be constituted by two fundamental elements: 1) A disposable biochip customized for the detection of a set of parameters of the quality of the food (e.g. the detection of a set of allergens, toxins or antibiotics) and 2) an electronic reading system enabling the dispensing and the analytical screening of the food sample and the electronic evaluation, storage and communication of the results. Such a system will have a huge impact in the food monitoring protocols and will significantly contribute to the spreading of alternative, fast and reliable analytical methods for food safety control. This will help: - industries and distributors to provide safer and healthier food products, - public regulatory bodies to improve the quality of the food control tests while reducing the assay costs, - end-users and small distributors to verify the quality of their everyday food products

Keywords: agricultural sciences,chemistry,technology,food science,health sciences
Decision making and augmented reality support for automatic welding installations (MARWIN)

Framework: FP7 — Capacities
Programme: Research for the benefit of SMEs
Destination: Research for SMEs
Action type: Research for the benefit of specific groups
Countries involved: United Kingdom,Bulgaria,United Kingdom,Hungary,Netherlands,Hungary,Spain
Call:  (FP7-SME-2011, 2011)
Start date: 2011-11-01
End date: 2014-01-31
Duration (months): 27.0
Total project cost (EUR): 1463356.0
EU funding (EUR): 1108800.0
Participants: 7
Project status: CLOSED

Robot welding is critical to welding automation in many industries and it is estimated that as much as 25% of all industrial robots are being used for welding tasks. The biggest challenge for small companies is to have flexible automation that can be set up quickly and can be switched over to another product line. The current proposal addresses the need to increase the competitiveness of welding SMEs by developing a low cost computer vision based welding robot with automatic track calculation and quality control system that can reduce manufacturing time and costs, increase production flexibility, improve product quality and production efficiency. Currently available welding technologies such as manual welding and welding robots have several drawbacks. Manual welding is time consuming, while existing welding robots are not efficient enough for manufacturing small batch sized products but they also often face discrepancies when reprogramming is necessary. This reprogramming is also extremely time-consuming. In contrary, MARWIN will offer a flexible, programmable system to manufacturers and with this solution they will be able to optimize the welding process in a timely and cost effective manner. Aware of the business opportunity and growing market in the welded parts industry, SMEs in the current proposal, with the help of RTD performers, intend to capitalise on this need by developing a product that will overcome the limitations of available systems for end-users, thereby fulfilling a real market need. It will provide a competitive edge for consortium SMEs and within the EU and worldwide in a field where the production of differentiated, high quality welded parts is mainly dominated by large enterprises. By using MARWIN system companies will not only widen the range of products / services offered but they will also reduce their production costs. The combination of these two elements will result in higher effectiveness and significantly increased competitiveness.

Keywords: cognitive control,machine vision,computer vision,human computer interaction,knowledgebase
Convergence of magnetics and plasmonics through semiconductors (COMPASS)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Ireland,United Kingdom
Call:  (FP7-PEOPLE-2011-IAPP, 2011)
Start date: 2012-01-01
End date: 2015-12-31
Duration (months): 48.0
Total project cost (EUR): 816738.0
EU funding (EUR): 816738.0
Participants: 2
Project status: CLOSED

A remarbable convergence between the magnetic hard-drive industry and photonics technology is about to take place through the use of lasers to switch magnetisation at the nanoscale using plasmonics powered by a semiconductor laser. This heat assisted magnetic recording will enable storage densities of 1 terabit per square inch. The laser needs to be integrated with the read-write head and needs to operate under severe temperature conditions. The implementation of lasers in manufactured products requires the attainment of new knowledge by the magnetics industry along with the response of the academic industry to the new performance challenges. These goals can only be reached through a strong collaborative programme between industry and academia. The scientific programme is to study the properties of III-V materials to allow higher temperature operation and to study the reliability of lasers when formed by etching. The knowledge will be transferred through the cross-border secondment of staff and researchers between Seagate and the Tyndall National Institute.

Keywords: optics,nanotechnology,micro-technology,electronic,magnetic and superconductive properties
Development of a late-onset-Alzheimer’s disease (LOAD) profile for accurate diagnosis and identification of potential therapeutic approaches (LOAD PROFILE)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Austria,United Kingdom,Poland
Call:  (FP7-PEOPLE-2011-IAPP, 2011)
Start date: 2012-10-01
End date: 2016-09-30
Duration (months): 48.0
Total project cost (EUR): 747300.0
EU funding (EUR): 747300.0
Participants: 5
Project status: CLOSED

Late-onset Alzheimer’s disease (LOAD) is a neurodegenerative disorder that currently affects 2% of the population in industrialized countries; the risk of LOAD increases in individuals beyond the age of 70 and it is predicted that the incidence of LOAD will increase 4-fold within the next 50 years which may cause a great socioeconomic problem. Early diagnosis and evidence-based interventions that improve the condition of LOAD patients are not available. Numerous studies revealed that LOAD is an age-related multifactorial disease, which is evident on the protein level in hardly accessible cerebrospinal fluid by decreased beta amyloid and increased hyperphosphorylated tau protein. The Medical University of Vienna and the diagnostics company Randox have already characterised LOAD related proteins in blood platelets that reflect features of neurons. These proteins indicate multifactorial interactions in LOAD leading to our holistic approach. The present project, unlike others, will simultaneously determine (epi)genetic, protein-specific, and metabolic parameters of LOAD patients. On the genetic level LOAD is associated with Apolipoprotein E4 polymorphism. Decreased vitamin B12 and folate and increased homocysteine levels are metabolic dysfunctions that may be linked to epigenetic changes in methylation patterns of LOAD relevant genes. The University of Vienna will identify metabolic LOAD markers in blood. The MUW will perform complementary (epi)genetic and proteomic studies, and will generate algorithms for multi-arrays. Significant (epi)genetic aberrations in LOAD will be translated into assays of a DNA Chip at Randox. In addition, the SME Ledo and the Polish University Politechnika Lodzka join their expertise to develop a standardised ready-to-use platelet isolation column for platelet purification. Only this intensive transfer of knowledge will achieve combined analysis of these different types of LOAD biomarkers which should allow accurate diagnosis and offer approaches to targeted therapy.

Keywords: health sciences,alzheimer's disease,ageing,genetics,epigenetics,proteomics,metabolomics,protein-chip,dna-chip,platelets,plasma,erythrocytes,one carbon cycle
Knowledge Driven Data Exploitation (K-DRIVE)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom,Spain,Italy
Call:  (FP7-PEOPLE-2011-IAPP, 2011)
Start date: 2012-01-01
End date: 2016-06-30
Duration (months): 54.0
Total project cost (EUR): 1696064.0
EU funding (EUR): 1696064.0
Participants: 5
Project status: CLOSED

The development of innovative technology for the discovery new insights (such as trends) of digital data and real time guidance of using digital data is one of the priorities in the areas of semantic technologies. The first objective of this project is the identification of novel query generation techniques to facilitate experts to identify key dimensions within semantic data and to recommend users with queries related to their interests, with an emphasis on the development of innovative techniques for efficient and scalable query generation and query answering. We first evaluate the query generation approaches with two use cases on electronic tender data and healthcare data. The most promising and effective approaches will be further investigated with the view of dealing with update of the data and relevant knowledge. For example, the EU Tenders Electronic Daily (TED, http://ted.europa.eu) data is updated daily; bio-medical data regarding patients is constantly generated. The main goals of the projects are (1) the development of efficient and scalable query generation techniques with potential for dealing with streaming data and knowledge, (2) detailed studies of their use for exploiting both public data (such as TED data) and private data (such as that in the healthcare domain), with the future perspective of using these novel knowledge driven data analysis tools as diagnostic and guidance tools for domain experts and end users.

Keywords: software technology
Small molecule stabilizers of 14-3-3 Protein-Protein Interactions as novel drugs in cancer and neurodegenerative diseases (14-3-3STABS)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Netherlands,Germany,Germany,France,Sweden
Call:  (FP7-PEOPLE-2011-IAPP, 2011)
Start date: 2012-01-01
End date: 2015-12-31
Duration (months): 48.0
Total project cost (EUR): 2008622.0
EU funding (EUR): 2008622.0
Participants: 5
Project status: CLOSED

The objective of the application is the development and characterization of small molecule stabilizers of protein-protein interactions (“Molecular Glues”) as a novel class of biological tool compounds and potential therapeutic drugs for the treatment of cancer as well as Alzheimer’s and Parkinson’s Disease, respectively. As biological targets we work on 14-3-3 proteins, an important class of adapter proteins that regulate a multitude of enzymes and proteins involved in the development of cancer and neurodegenerative diseases. 14-3-3 protein-protein interactions relevant in different cancers are Raf1 and YAP/TAZ. In Alzheimer’s and Parkinson’s Disease the interaction of 14-3-3 proteins with AICD and α-Synuclein are of potential therapeutic interest. The proposed project is based on the innovative approach to develop small molecules that bind selectively to the interaction surface of specific disease-related protein complexes thereby stabilizing their interaction which might lead to a beneficial therapeutic effect. This approach is complementary to today’s strategy of developing inhibitors that target the active site of single enzymes and opens new possibilities to address “undrugable targets”. In fact, small molecule stabilizers of protein-protein-interactions have the potential to deliver a target-specific, target-oriented and more efficient modulation of the protein function than “classical” inhibitors. In this application, we propose two projects identifying and optimizing small molecules stabilizing 14-3-3 interactions with: 1. The cancer-relevant proteins Raf and YAP/TAZ 2. The Alzheimer’s and Parkinson’s disease-relevant proteins AICD and α-Synuclein. By stabilizing these protein-protein interactions the biological functions and biochemical properties like biochemical activity, subcellular localization and aggregation behaviour of the 14-3-3 target proteins are modulated.

Keywords: health sciences,clinical pharmacology
Capacity building at CIBIO for research using Next-Gen Sequencing (CIBIO-NEW-GEN)

Framework: FP7 — Capacities
Programme: Research Potential
Destination: Unlocking and developing the Research Potential of research entities established in the EU�s Convergence regions and Outermost Regions
Action type: Coordination and support actions
Countries involved: Portugal
Call:  (FP7-REGPOT-2011-1, 2011)
Start date: 2012-01-01
End date: 2015-09-30
Duration (months): 45.0
Total project cost (EUR): 3490921.6
EU funding (EUR): 3113821.0
Participants: 1
Project status: CLOSED

Focus of research in CIBIO is evolutionary biology, conservation genetics, and ecology in a conservation context. A large part of research lines employs the DNA level analysis of biological diversity. During the last years, new technologies arose in this field, which provide today the opportunity to generate new types of datasets with especially high information content for genome based investigation of biological diversity. The proposal of CIBIO has two main objectives: 1) to install new generation sequencing platforms and integrate the respective techniques in CIBIO scientists research, and 2) to equip the unit with the computer infrastructure necessary to handle the increasing amount of data and analytical procedures for downstream sequence analysis and for modeling approaches. This activity will be accompanied by strengthening our research staff and by training and exchange of expertise in collaboration with international partners. The acquisition and implementation of the new technologies and the development of the respective expertise will enable the institution to fully develop its potential in quality of research and international recognition.

Keywords: new generation sequencing,biodiversity,evolutionary biology,north portugal