Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Self-care Support for People with Long Term Conditions, Diabetes and Heart Disease: A Whole System Approach (EU-WISE)

Framework: FP7 — Cooperation
Programme: Health
Destination: Optimising the delivery of healthcare to European citizens
Action type: Collaborative project
Countries involved: United Kingdom,United Kingdom,Bulgaria,Spain,Norway,Greece,Netherlands,Ireland,Spain
Call:  (FP7-HEALTH-2011-two-stage, 2011)
Start date: 2012-01-01
End date: 2015-12-31
Duration (months): 48.0
Total project cost (EUR): 3737011.04
EU funding (EUR): 2935434.0
Participants: 9
Project status: CLOSED

The overall aim of this project is to offer a deeper understanding of the different mechanisms involved in the management of chronic conditions with a specific focus on how initiatives are translated and embedded into the illness management practices in peoples’ everyday life. It is in work, domestic and community settings where these practices are shaped by the emotional, symbolic, ethical, economic, and institutional inter-dependencies that people have with intimate and distant others, and where personal health is constantly negotiated in relation to one’s own well-being and the health and well-being of others. Framed this way, questions related to self-care practices and changes in health behaviours can be stated as a shift in emphasis to a broader agenda for the provision of healthcare. Such an agenda brings into view ideas dominant in academic and policy debates and discussions of self-management which has drawn attention to the limitations of deploying a ‘one size fits all’ approach and the need to devise and implement workable, personally sensitive strategies for self-management and behaviour change that make full use of available technologies (e.g. eHealth, telehealth, virtual networks), personal, community and institutional resources, and which more adequately addresses the needs of socially disadvantaged people. Thus, the current focus on individuals (e.g. understanding and improving their knowledge and capabilities) requires a complementary focus on understanding capabilities, resources, and change in health related practices as an integral part of peoples’ social networks and as being co-shaped by wider determinants of health). There is also a need to focus on the translation of efforts within health services to explore how professionally defined priorities of chronic illness management are translated acted upon and resourced outside of the consultation.

Keywords: personalisation of healthcare,diabetes,heart disease,long-term conditions,systems of support,whole system approach,social networks,ehealth,health behaviours,normalisation
Pharmacogenomic biomarkers as clinical decision making tools for clozapine treatment of schizophrenia (CRESTAR)

Framework: FP7 — Cooperation
Programme: Health
Destination: Biotechnology, generic tools and medical technologies for human health
Action type: Collaborative project
Countries involved: United Kingdom,Iceland,Germany,United Kingdom,Denmark,Germany,Germany,Germany,Netherlands
Call:  (FP7-HEALTH-2011-two-stage, 2011)
Start date: 2011-11-01
End date: 2015-10-31
Duration (months): 48.0
Total project cost (EUR): 7994654.54
EU funding (EUR): 6000000.0
Participants: 11
Project status: CLOSED

Treatment resistant schizophrenia (TRS) is the most disabling of all psychiatric illnesses, affecting about 1/3 of patients (~1 million Europeans), a considerable economic and social burden. First-line treatments include atypical (e.g. olanzapine) and typical (e.g. haloperidol) antipsychotics. The original atypical, clozapine, is a final option, and although it is the only antipsychotic shown to be effective in TRS, about half of TRS patients are also resistant to clozapine. CRESTAR is an SME-driven projected, focusing on the development of pharmacogenomic biomarkers for schizophrenia. It aims to develop tools to predict i) who will NOT respond to usual antipsychotics, indicating treatment with clozapine as early as possible, ii) the 1% of patients who will develop potentially fatal side effects, agranulocytosis, which is the main factor limiting clozapine use, and diabetic ketoacidosis, occurring in up to 2% of patients, and often fatal. We will also predict patients likely to be non-responders to all antipsychotics, i.e. extreme TRS, so that they can be stratified in clinical trials. CRESTAR will address these questions by examining genome-wide association data, genome sequence, epigenetic biomarkers and epidemiological data in European patient cohorts characterized for treatment response, and adverse drug reaction using data from clozapine therapeutic drug monitoring and linked National population medical and pharmacy databases, alongside existing European projects (e.g. PSYCNVs and EU-GEI) national initiatives (e.g. UK10K genome sequencing) to identify predictive factors. In parallel CRESTAR will perform health economic research on potential benefits, and ethics and patient-centered research with stakeholders. The outcome of CRESTAR will be a genomic test and associated clinical decision making tools, designed to improve pharmacological treatment of schizophrenia in both efficacy and safety, piloted with existing and new clinical trials such as OPTiMiSE.

Keywords: schizophrenia,treatment response,atypical,antipsychotics,stratification,clozapine,pharmacogenetics,pharmacogenomics,haloperidol
Protecting and Preserving Human Knowledge for Posterity (PPP)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Computer science and informatics
Countries involved: Greece
Call:  (ERC-2011-StG_20101014, 2011)
Start date: 2011-10-01
End date: 2017-12-31
Duration (months): 75.0
Total project cost (EUR): 1032915.83
EU funding (EUR): 1032915.83
Participants: 1
Project status: CLOSED

The amount and variety of content being published online is growing at an exceptional rate. Online publishing enables content to reach a much larger audience than paper publishing but offers no guarantee of long-term access to the content. This work investigates techniques for building a large, reliable peer-to-peer system for the preservation of online published material. The system consists of a large number of low-cost, persistent web caches (peers) that cooperate to detect and repair damage by voting in "opinion polls" on the content of their cached documents. The peers are autonomous and mutually suspicious. Project activities include 1) investigating defenses against adversaries whose goal is to attack the preservation process; 2) performing a foundational study of the interconnections between identity, trust, and reputation models in peer-to-peer systems; 3) investigating the use of estimates of peer diversity to increase the fault and attack tolerance of peer-to-peer systems; and 4) developing, analyzing, implementing, and testing new protocols that address the high frequency of updates of online government documents, the large volumes of scientific data, and the privacy concerns of sensitive medical data. This work is being evaluated using a real testbed of over 200 libraries around the world with the support of publishers representing over 2000 titles. The broader impact of the work is that all electronic material preserved through the system including academic journals, government documents and web articles, and scientific and medical data will remain accessible to generations of citizens for both research and education purposes.

Keywords: reliable distributed systems,peer-to-peer systems,digital preservation
Proteomic prediction and Renin angiotensin aldosterone system Inhibition prevention Of early diabetic nephRopathy In TYpe 2 diabetic patients with normoalbuminuria (PRIORITY)

Framework: FP7 — Cooperation
Programme: Health
Destination: Translating research for human health
Action type: Collaborative project
Countries involved: Denmark,Germany,Netherlands,United Kingdom,Italy,Czechia,Germany,Spain,France,Germany,Switzerland,North Macedonia,Belgium,Greece,Netherlands
Call:  (FP7-HEALTH-2011-two-stage, 2011)
Start date: 2012-01-01
End date: 2018-12-31
Duration (months): 84.0
Total project cost (EUR): 8649785.94
EU funding (EUR): 5980500.0
Participants: 22
Project status: CLOSED

Patients with diabetes are at risk of developing diabetic nephropathy, which will ultimately result in the requirement for renal replacement therapy and is also associated with high cardiovascular morbidity and mortality. Detection of low concentrations of albuminuria in urine (microalbuminuria) is the current clinical standard for detecting those at significant risk and targeting preventive treatment. However, albuminuria is of low specificity at early stages of disease, and of considerable biological variability, hence a poor predictor at early stages of disease. In two independent studies we have demonstrated that urinary proteomics offers the prospect of detecting nephropathy earlier in the preclinical phase, enabling targeted treatment at an earlier stage. We propose to assess the potential of this technology to identify normoalbuminuric patients at risk and to target therapy with an aldosterone receptor antagonist (spironolactone) as add-on to recommended therapy including angiotensin converting enzyme (ACE) inhibition or angiotensin II receptor blockers (ARBs) according to national guidelines. We will test the following hypotheses: (1) urinary proteomics predicts progression of albuminuria (as a surrogate marker for the development of overt nephropathy) in a cohort of 3280 type 2 diabetic patients with normal urinary albumin excretion, and (2) early initiation of intensive preventive therapy directed by urinary proteomics reduces progression of albuminuria in those 20 % at high risk and thereby delay progression to overt nephropathy and spare treatment for those with low risk, paving the way of personalised medicine. This will be the first biomarker-directed therapy trial for primary prevention of diabetic kidney disease. Additional clinical and circulating biomarkers will be assessed and models to predict progression of albuminuria including clinical factors, biomarkers and proteomics will be developed.

Keywords: diabetes,prevention,diabetic nephropathy,urinary proteomics,biomarkers,spironolactone
Quantitative Graph Games: Theory and Applications (GRAPH GAMES)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Computer science and informatics
Countries involved: Austria
Call:  (ERC-2011-StG_20101014, 2011)
Start date: 2011-12-01
End date: 2016-11-30
Duration (months): 60.0
Total project cost (EUR): 1163111.0
EU funding (EUR): 1163111.0
Participants: 1
Project status: CLOSED

The theory of games played on graphs provides the mathematical foundations to study numerous important problems in branches of mathematics, economics, computer science, biology, and other fields. One key application area in computer science is the formal verification of reactive systems. The system is modeled as a graph, in which vertices of the graph represent states of the system, edges represent transitions, and paths represent behavior of the system. The verification of the system in an arbitrary environment is then studied as a problem of game played on the graph, where the players represent the different interacting agents. Traditionally, these games have been studied either with Boolean objectives, or single quantitative objectives. However, for the problem of verification of systems that must behave correctly in resource-constrained environments (such as an embedded system) both Boolean and quantitative objectives are necessary: the Boolean objective for correctness specification and quantitative objective for resource-constraints. Thus we need to generalize the theory of graph games such that the objectives can express combinations of quantitative and Boolean objectives. In this project, we will focus on the following research objectives for the study of graph games with quantitative objectives: (1) develop the mathematical theory and algorithms for the new class of games on graphs obtained by combining quantitative and Boolean objectives; (2) develop practical techniques (such as compositional and abstraction techniques) that allow our algorithmic solutions be implemented efficiently to handle large game graphs; (3) explore new application areas to demonstrate the application of quantitative graph games in diverse disciplines; and (4) develop the theory of games on graphs with infinite state space and with quantitative objectives. since the theory of graph games is foundational in several disciplines, new algorithmic solutions are expected.
Building-up Chemical Complexity into Multifunctional Molecule-based Hybrid Materials (CHEMCOMP)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Materials and Synthesis
Countries involved: Spain
Call:  (ERC-2011-StG_20101014, 2011)
Start date: 2012-01-01
End date: 2016-12-31
Duration (months): 60.0
Total project cost (EUR): 1940396.0
EU funding (EUR): 1940396.0
Participants: 1
Project status: CLOSED

Molecular sciences offer unparalleled opportunities for the development of tailor-made materials. By chemical design, molecules with the desired features can be prepared and incorporated into hybrid systems to yield molecule-based materials with novel chemical and/or physical properties. The CHEMCOMP project aims to develop new hybrid materials targeting the study of new physical phenomena that have already been theoretically predicted or experimentally hinted. The main goals will be: i) Molecules with memory: Memory effect at the molecular scale is of great interest because it represents the size limit in the miniaturization of information storage media. My goal will be to develop spin crossover molecules with bulk-like hysteretic behavior where the switching between the low spin ground state and the high spin metastable state can be controlled through external stimuli. ii) Bistable organic conductors: Bistable molecules could also be embedded into hybrid organic conductors to induce structural phase transitions. This strategy will allow for the transport properties to be controlled through external stimuli in unprecedented switchable conducting media. iii) Hybrid conducting magnets: Combination of magnetism and electrical conductivity has given rise to new phenomena in the past, such as spin glass behavior or giant magnetoresistance. We propose to incorporate Single Molecule Magnets (molecules with magnet-like behavior) into organic (super)conductors to understand and optimize the synergy between these two physical properties. iv) Chiral magnets and conductors: New phenomena is expected to appear in optically active media. Experimental evidence for the so-called MagnetoChiral Dichroism has already been found. Electrical Magnetochiral Anisotropy has been predicted. I will develop systematic strategies for the preparation of hybrid chiral materials to understand and optimize the synergy between chirality and bulk physical properties.

Keywords: multifunctional materials,molecular magnetism,organic conductors,molecular bistability,spin crossover
In-situ metrology for the controlled growth and interfacing of nanomaterials (INSITUNANO)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Physical and Analytical Chemical sciences
Countries involved: United Kingdom
Call:  (ERC-2011-StG_20101014, 2011)
Start date: 2011-12-01
End date: 2016-11-30
Duration (months): 60.0
Total project cost (EUR): 1367834.0
EU funding (EUR): 1367834.0
Participants: 1
Project status: CLOSED

This proposal will use novel in-situ metrology to probe the atomic level mechanisms that govern the growth and device behaviour of nanomaterials in realistic process environments. We focus on the catalytic chemical vapour deposition of carbon nanotubes, graphene, Si/Ge nanowires and related heterostructures. The application potential for these nanostructures is large, but currently limited by insufficient control of growth. We propose to use a range of complementary in-situ probes, including environmental transmission electron microscopy, high-pressure X-ray photoelectron spectroscopy (XPS), in-situ X-ray diffraction (XRD) and in-situ Raman spectroscopy, to significantly advance the understanding of their growth mechanisms. We see these nanomaterials as model systems to advance the fundamental understanding of phase behaviour, nucleation and interface dynamics in nanoscale systems, which is the key to future materials design. Deeper insights into these phenomena are also crucial to understand the behaviour of nanomaterials under device operation conditions. We propose to address critical performance parameters of nano-structured Si-based anodes for Li ion batteries by in-situ nuclear magnetic resonance (NMR) spectroscopy and in-situ XRD methods under repeated Li cycling in an operational battery. We further propose to study the morphological origins of the collective adhesive and mechanical properties of carbon nanotube forests by in-situ scanning electron microscopy as basis for the design of biomimetic, functional dry adhesives and compliant interconnect structures.

Keywords: nanomaterials,carbon nanotubes,nanowires,graphene,cvd,in-situ measurements
A multi-microscopy approach to the characterisation of Nitride semiconductors (MACONS) (MACONS)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Materials and Synthesis
Countries involved: United Kingdom
Call:  (ERC-2011-StG_20101014, 2011)
Start date: 2011-12-01
End date: 2017-08-31
Duration (months): 69.0
Total project cost (EUR): 1371893.9
EU funding (EUR): 1371893.9
Participants: 1
Project status: CLOSED

The commercial market for electronic and optoelectronic devices based on nitride semiconductors is growing extremely fast, but the fundamental science underlying these devices is lagging behind. This proposal aims to explore the vital link between structure and properties in nitride materials, in order to reveal the limitations of current devices and to pave the way for new, improved technology. The key strategy of the proposal is to combine multiple microscopy techniques to develop a comprehensive understanding of nanostructures and defects in the nitrides, and to link these discoveries to nanoscale measurements of the optical and electrical properties. This will require a synergy of different techniques, from techniques commonly used on metals (such as atom-probe tomography) to techniques which focus exclusively on semiconductors (such as scanning capacitance microscopy). It will also require the development of new approaches to the application of these techniques, to allow the same nanoscale regions of material to be assessed in multiple microscopes, so that the structure and composition of a specific nanostructure may be linked directly and unambiguously to its electrical and optical properties. Overall, the aim is to provide a much more complete picture of nitride materials science than has ever previously been achieved, and to apply this new understanding to engineering improved materials for nitride optoelectronic devices.

Keywords: nitride semiconductors,structure-property relations,defects,nanostructures
Approximate algebraic structure and applications (AAS)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Mathematical foundations
Countries involved: United Kingdom,United Kingdom
Call:  (ERC-2011-StG_20101014, 2011)
Start date: 2011-10-01
End date: 2016-09-30
Duration (months): 60.0
Total project cost (EUR): 1000000.0
EU funding (EUR): 1000000.0
Participants: 2
Project status: CLOSED

This project studies several mathematical topics with a related theme, all of them part of the relatively new discipline known as additive combinatorics. We look at approximate, or rough, variants of familiar mathematical notions such as group, polynomial or homomorphism. In each case we seek to describe the structure of these approximate objects, and then to give applications of the resulting theorems. This endeavour has already lead to groundbreaking results in the theory of prime numbers, group theory and combinatorial number theory.

Keywords: additive combinatorics
Mechanical modeling of interfaces in advanced materials and structures (INTERFACES)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Products and process engineering
Countries involved: Germany,Italy
Call:  (ERC-2011-StG_20101014, 2011)
Start date: 2011-12-01
End date: 2016-11-30
Duration (months): 60.0
Total project cost (EUR): 1399087.12
EU funding (EUR): 1399087.12
Participants: 2
Project status: CLOSED

This proposal aims at providing fundamental research results in computational mechanical modelling of structural interfaces at different scales, encompassing debonding and contact phenomena. Interfaces are present everywhere in the physical reality, and have a deep impact in civil, mechanical and electronic engineering, biomechanics and material science. Interface mechanical problems are thus multi-disciplinary and involve several length scales. This research is then motivated by the need of transferring the knowledge on properties of interfaces at lower scales to a rational interpretation of their macroscopic behavior, which is essential for the development of truly predictive models as opposed to the empirical, phenomenological models currently available. The main objective of this project is twofold: 1) to develop a multi-scale computational setting to handle modeling of interfacial debonding and contact, featuring a seamless coupling between length scales, and 2) to use such a framework for the development of effective macroscopic mechanical models for debonding and contact, which are able to capture the information stemming from the lower-scale mechanics and morphology, and which are consistent with the observed behavior at various scales. This objective will be pursued mostly at the computational level, but also resorting to laboratory testing and analytical modeling. The project will focus on debonding and contact at macroscopic interfaces where two (or more) interfacial length scales are considered significant for the analysis and these are both (or all) much larger than atomic dimensions. Hence modeling will be conducted within the framework of continuum mechanics at all scales and implemented with the finite element method. Appropriate examples will be considered throughout the project.

Keywords: multiscale modeling,debonding,contact,cohesive zone modeling,finite element modeling,homogeneization,microstructured interfaces,adhesion,friction,advanced materials,composites,concrete