Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Converging resources to support the value creation in Europe of Microsystems and Smart Miniaturized Systems research projects (COWIN)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Components, systems, engineering
Action type: Coordination and support actions
Countries involved: France,Germany,Spain,France,Estonia
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-10-01
End date: 2014-03-31
Duration (months): 42.0
Total project cost (EUR): 3007787.0
EU funding (EUR): 2729982.0
Participants: 5
Project status: CLOSED

COWIN will optimize commercial exploitation of EU RTD projects, based on the setting up of a dedicated network reinforcing collaborations and joint value of existing resources supporting microsystems and smart miniaturized systems competitiveness in Europe. COWIN’s objectives are: - To facilitate better commercial exploitations of EU RTD projects. Our objectives are that over the 91 FP6 and FP7 research projects funded by the EU, about 35 ones reach further development milestones following a value creation roadmap, about 15 projects start collaborations with strategic industrial partners for IP licensing and technology transfer and that about 10 new companies are identified and proposed to the investors. -To set up a dedicated network for value creation. We will converge available resources in facilitating interactions and collaborations of academic, industrial, public and private investors. A specific action will be conducted in the diagnostic and food/beverage quality fields. - To close the research, industry, and private investment gaps. We will provide with recommendations of actions identified by consultation of all the different parties. COWIN actions will be undertaken by partners with complementary technical, market and RTD financing expertise with the support of a strategic committee of experts composed of technology platforms, industrials, VC’s and RTD financing programs representatives.

Keywords: value creation process,networking of resources,value optimization,commercial exploitation,coordination,best practices dissemination
Microsystem integration based on electroactive polymer gels for cardiovascular applications (HEART-E-GEL)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Components, systems, engineering
Action type: Collaborative project
Countries involved: Ireland,Belgium,Belgium,Israel,Netherlands,France,Ireland
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-09-01
End date: 2014-02-28
Duration (months): 42.0
Total project cost (EUR): 3751592.0
EU funding (EUR): 2750000.0
Participants: 8
Project status: CLOSED

Actuators based on electroactive polymer (EAP) hydrogels constitute a very attractive yet poorly explored technology. EAP hydrogels can expand and contract by several times their original volume by application of a small voltage. They can be engineered to be either porous or non-porous and the pore density and distribution can also be controlled. Their inherent limitations of very low actuation speed and need to operate in an aqueous medium constitute no impediment – and in fact make them particularly suitable – to a host of medical applications, some of them with high economic and societal relevance. The Heart-e-Gel project utilises a microsystem concept based on electrode activation to change the volume of EAP hydrogels designed for operation in the cardiovascular system. Given the soft and aqueous nature of these gels and considering the need to accommodate for large volume changes, integrating these materials into complete microsystems poses unique challenges in terms of heterogeneous integration. Heart-e-Gel proposes to target specific medical applications and will require modelling of the microsystem-medical interface as well as assessing the potential of different material, actuation, volume sensing, and system delivery options. Three types of systems of immediate interest in cardiovascular surgery have been selected: a generic occluder for vascular repair, a system for improving endografts/stents for the treatment of abdominal aortic aneurysms, and an adaptable band around the pulmonary artery for patients with congenital heart diseases, or with arteriovenous fistulas. While carrying out the systematic study of EAP hydrogel integration into microsystems, substantial information on processing and characterisation will be gathered and will ultimately lead to a technology library that can enable microsystem designers to address an even wider range of applications.

Keywords: electroactive,gel,cardiovascular
Sparse and Low Rank Recovery (SPALORA)

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: Germany,Germany
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2011-01-01
End date: 2015-12-31
Duration (months): 60.0
Total project cost (EUR): 1010220.0
EU funding (EUR): 1010220.0
Participants: 2
Project status: CLOSED

Compressive sensing is a novel field in signal processing at the interface of applied mathematics, electrical engineering and computer science, which caught significant interest over the past five years. It provides a fundamentally new approach to signal acquisition and processing that has large potential for many applications. Compressive sensing (sparse recovery) predicts the surprising phenomenon that many sparse signals (i.e. many real-world signals) can be recovered from what was previously believed to be highly incomplete measurements (information) using computationally efficient algorithms. In the past year exciting new developments emerged on the heels of compressive sensing: low rank matrix recovery (matrix completion); as well as a novel approach for the recovery of high-dimensional functions. We plan to pursue the following research directions: - Compressive Sensing (sparse recovery): We aim at a rigorous analysis of certain measurement matrices. - Low rank matrix recovery: First results predict that low rank matrices can be recovered from incomplete linear information using convex optimization. - Low rank tensor recovery: We plan to extend methods and mathematical results from low rank matrix recovery to tensors. This field is presently completely open. - Recovery of high-dimensional functions: In order to reduce the huge computational burden usually observed in the computational treatment of high-dimensional functions, a recent novel approach assumes that the function of interest actually depends only on a small number of variables. Preliminary results suggest that compressive sensing and low rank matrix recovery tools can be applied to the efficient recovery of such functions. We plan to develop computational methods for all these topics and to derive rigorous mathematical results on their performance. With the experience I gained over the past years, I strongly believe that I have the necessary competence to pursue this project.

Keywords: compressive sensing,sparse recovery,sparse approximation,l1-minimization,signal processing,matrix completion,low rank matrix recovery,tensor completion,high-dimensional functions
Modelling and predicting sensitivity to targeted therapies in colorectal cancers (COLTHERES)

Framework: FP7 — Cooperation
Programme: Health
Destination: Translating research for human health
Action type: Collaborative project
Countries involved: Italy,Spain,United Kingdom,Netherlands,Italy,Belgium,Switzerland,Belgium
Call:  (FP7-HEALTH-2010-two-stage, 2010)
Start date: 2011-01-01
End date: 2014-12-31
Duration (months): 48.0
Total project cost (EUR): 8200254.4
EU funding (EUR): 5999300.0
Participants: 11
Project status: CLOSED

Effective and long term treatment of cancer is now in sight, but will ultimately require an increasingly ‘personalised’ approach where the ‘right’ combination of drugs will be administered to the ‘right’ patients, based on a detailed understanding of their genetic background and their co-associated sensitivity or resistance ‘biomarkers’. Efforts are specifically required to identify validated risk and patient-response stratification criteria, which can then be used to rationally develop companion diagnostic assays and more stream-lined clinical trials. COLTHERES will address these key issues by: 1) Molecularly profiling colon cancer patient samples using multiple ‘omics based technologies for co-segregating lesions that could impart resistance to existing and emerging targeted therapies 2) The building and screening of predictive in vitro models based on this data, to enable the rapid and empirical determination of drug resistance biomarkers 3) The use of these models and of the clinical studies to prospectively screen for genes mediating resistance and sensitivity to targeted therapies in CRCs 4) The building of new algorithms to significantly accelerate the design of rational therapies, by integrating more predictive models, assays and biomarkers into all phases of drug discovery; including novel phase-0 (xenopatients) studies 5) The design of innovative and focused biomarker driven phase II trials based on knowledge gathered within the project COLTHERES has assembled a unique consortium, from both academia and industrial SMEs, of world- experts in the areas of; • clinical design of innovative biomarker trials and improved therapeutic strategies • ‘omics technologies including genomic, transcriptomic, epigenomic and proteomic profiling • Functional genomic and disease model-generation • Bio-informatics and data analysis, to handle and interrogate the complexity of the data generated through the various approaches

Keywords: colorectal cancer,genomic,epigenetic,individual response,resistance,biomarkers,pharmacogenetics
Design of new thermoelectric devices based on layered and field modulated nanostructures of strongly correlated electron systems (2DTHERMS)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Condensed matter physics
Countries involved: Spain
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2010-11-01
End date: 2015-10-31
Duration (months): 60.0
Total project cost (EUR): 1427190.0
EU funding (EUR): 1427190.0
Participants: 1
Project status: CLOSED

Design of new thermoelectric devices based on layered and field modulated nanostructures of strongly correlated electron systems

Keywords: themoelectric materials,energy conversion,thermal and electrical transport,nanostructures
Simplifying Development and Deployment of High-Performance, Reliable Distributed Systems (PROPHET)

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: Sweden,Switzerland,Spain
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2011-02-01
End date: 2016-12-31
Duration (months): 71.0
Total project cost (EUR): 1450000.0
EU funding (EUR): 1450000.0
Participants: 3
Project status: CLOSED

Distributed systems form the foundation of our society's infrastructure. Unfortunately, they suffer from a number of problems. First, they are time-consuming to develop because it is difficult for the programmer to envision all possible deployment environments and design adaptation mechanisms that will achieve high performance in all scenarios. Second, the code is complex due to the numerous outcomes that have to be accounted for at development time and the need to reimplement state and network models. Third, the distributed systems are unreliable because of the difficulties of programming a system that runs over an asynchronous network and handles all possible failure scenarios. If left unchecked, these problems will keep plaguing existing systems and hinder development of a new generation of distributed services. We propose a radically new approach to simplifying development and deployment of high-performance, reliable distributed systems. The key insight is in creating a new programming model and architecture that leverages the increases in per-node computational power, bandwidth and storage to achieve this goal. Instead of resolving difficult deployment choices at coding time, the programmer merely specifies the choices and the objectives that should be satisfied. The new runtime then resolves the choices during live execution so as to maximize the objectives. To accomplish this task, the runtime uses a groundbreaking combination of state-space exploration, simulation, behavior prediction, performance modeling, and program steering. In addition, our approach reuses the effort spent in distributed system testing by transmitting a behavior summary to the runtime to further speed up choice resolution.

Keywords: distributed systems,reliability,performance
Discrete bIOimaging perCeption for Longitudinal Organ modElling and computEr-aided diagnosiS (DIOCLES)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: ERC Starting Grant Interdisciplinary Panel
Countries involved: France
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2011-09-01
End date: 2016-08-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: CLOSED

Recent hardware developments from the medical device manufacturers have made possible non-invasive/in-vivo acquisition of anatomical and physiological measurements. One can cite numerous emerging modalities (e.g. PET, fMRI, DTI). The nature (3D/multi-phase/vectorial) and the volume of this data make impossible in practice their interpretation from humans. On the other hand, these modalities can be used for early screening, therapeutic strategies evaluation as well as evaluating bio-markers for drugs development. Despite enormous progress made on the field of biomedical image analysis still a huge gap exists between clinical research and clinical use. The aim of this proposal is three-fold. First we would like to introduce a novel biomedical image perception framework for clinical use towards disease screening and drug evaluation. Such a framework is expected to be modular (can be used in various clinical settings), computationally efficient (would not require specialized hardware), and can provide a quantitative and qualitative anatomo-pathological indices. Second, leverage progress made on the field of machine learning along with novel, efficient, compact representation of clinical bio-markers toward computer aided diagnosis. Last, using these emerging multi-dimensional signals, we would like to perform longitudinal modelling and understanding the effects of aging to a number of organs and diseases that do not present pre-disease indicators such as brain neurological diseases, muscular diseases, certain forms of cancer, etc. Such a challenging and pioneering effort lies on the interface of medicine (clinical context), biomedical imaging (choice of signals/modalities), machine learning (manifold representations of heterogeneous multivariate variables), discrete optimization (computationally efficient inference of higher-order models), and bio-medical image inference (measurement extraction and multi-modal fusion of heterogeneous information sources).

Keywords: medical image perception,discrete optimization,mrfs,relaxations,linear programming,segmentation,deformable registration,dimensionality reduction,longitudinal organ modeling
TOPOLOGY OF STEIN MANIFOLDS (STEIN)

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: France,France
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2010-09-01
End date: 2016-08-31
Duration (months): 72.0
Total project cost (EUR): 1053101.23
EU funding (EUR): 1053101.23
Participants: 2
Project status: CLOSED

The goal of this project is to study the topology of Stein manifolds from the viewpoint of symplectic and contact geometry. It addresses the fundamental questions of the subject: - How does the Lagrangian skeleton of a Stein manifold determine the Stein structure? - To what extent the study of Stein structures can be reduced to a combinatorial study of the skeleton? - How are the symplectic invariants of Stein manifolds, respectively the contact invariants of their boundary, determined by the skeleton? For the topological part, we will use as a source of inspiration the theory of spines and shadows of 3- and 4- manifolds. One of the goals of this research project is to adapt it to the setup of Stein manifolds and develop a calculus of Lagrangian shadows. Concerning invariants of contact manifolds, we aim to interpret symplectic homology of Stein manifolds and contact homology of their boundaries in topological terms, with the skeleton playing a central role. Further ramifications of this research project include the development of string topology on singular (stratified) spaces and the symplectic study of singularities.

Keywords: stein manifolds,lagrangian submanifolds,contact manifolds,holomorphic curves,string topology,singularities
Stimulated Raman analysis and Raman microscopy with Fourier Domain Mode Locked (FDML) laser sources (FDML-RAMAN)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Fundamental constituents of matter
Countries involved: Germany
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2011-01-01
End date: 2015-12-31
Duration (months): 60.0
Total project cost (EUR): 1168058.0
EU funding (EUR): 1168058.0
Participants: 1
Project status: CLOSED

Raman spectroscopy is one of the most specific non-destructive optical techniques to identify the chemical composition of a sample. Further, there is great hope that in the future it may be a powerful biomedical imaging technique for in vitro or in vivo microscopy, providing molecular contrast without exogenous contrast agents. However, due to the small Raman cross-section, for many applications the acquisition is prohibitively slow. Techniques to solve this problem and to increase the Raman signal levels are coherent anti-Stokes Raman spectroscopy (CARS), surface enhanced Raman spectroscopy (SERS) and stimulated Raman spectroscopy (SRS). However, in many cases, they are currently not able to provide rapid, highly sensitive detection of an undistorted signal with a broad spectral coverage. The aim of the project is to investigate Fourier domain mode locked (FDML) lasers for the application to stimulated Raman detection. A variety of physical effects, unique to FDML lasers, enables strategies to substantially increase the Raman signal level. This can provide access to highly sensitive Raman spectroscopy and high speed Raman microscopy. The techniques to increase the detection sensitivity include concepts like single- and double-resonant enhancement cavities, high power fibre amplification, dynamic spectral zooming, advanced modulation schemes and parallel designs. The first part of the project addresses a comprehensive understanding of the underlying physical effects and how to increase the Raman signal by several orders of magnitude using these various strategies. The aim of the second part is to investigate, in how far these improved FDML based Raman systems can be applied to transient real time spectroscopy, analytical sensing, and Raman microscopy.

Keywords: raman,fourier domain mode locking,fdml,wavelength swept laser,tunable laser,enhancement cavity
NEW FRONTIERS IN PLASMON OPTICS: FROM NANOCHEMISTRY TO QUANTUM OPTICS (PLASMOLIGHT)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Fundamental constituents of matter
Countries involved: Spain
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2011-04-01
End date: 2015-08-31
Duration (months): 53.0
Total project cost (EUR): 1146495.6
EU funding (EUR): 1146495.6
Participants: 1
Project status: CLOSED

At this point in time where plasmon optics has become a mature field of research, we propose here to create new bridges with other scientific disciplines in which the optical properties of plasmonic nanostructures could successfully address major roadblocks. The proposed scientific project consists of two independent parts, in which plasmonics is combined with Nanochemistry and Quantum optics, respectively. First, we will investigate how plasmonics could contribute to control with nanometer accuracy the deposition of a wide range of molecules or other nano-objects at a surface pre-patterned with noble metal nanostructures. Our approach is foreseen to overpass some of the major limitations of existing methods by combining parallel patterning over large areas with a resolution down to 10nm. Beyond demonstrating the feasibility of this novel approach, we propose to exploit it to increase the sensitivity of bio-chemical plasmonic sensing and surface enhanced Raman scattering. The second part of the project will study the use of the recent concept of plasmon nano-optical tweezers to develop a novel integrated quantum platform. The developed platform will be tested for applications to quantum simulation.

Keywords: nano-optics,plasmon nano-optics,quantum optics,bio-chemical sensing,nanochemistry
Phase Transitions and Chemical Reactions in Electric Field Gradients (FIELDGRADIENTS)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Condensed matter physics
Countries involved: Israel
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2010-08-01
End date: 2015-07-31
Duration (months): 60.0
Total project cost (EUR): 1482199.6
EU funding (EUR): 1482199.6
Participants: 1
Project status: CLOSED

We will study phase transitions and chemical and biological reactions in liquid mixtures in electric field gradients. These new phase transitions are essential in statistical physics and thermodynamics. We will examine theoretically the complex and yet unexplored phase ordering dynamics in which droplets nucleate and move under the external nonuniform force. We will look in detail at the interfacial instabilities which develop when the field is increased. We will investigate how time-varying potentials produce electromagnetic waves and how their spatial decay in the bistable liquid leads to phase changes. These transitions open a new and general way to control the spatio-temporal behaviour of chemical reactions by directly manipulating the solvents' concentrations. When two or more reagents are preferentially soluble in one of the mixture's components, field-induced phase separation leads to acceleration of the reaction. When the reagents are soluble in different solvents, field-induced demixing will lead to the reaction taking place at a slow rate and at a two-dimensional surface. Additionally, the electric field allows us to turn the reaction on or off. The numerical study and simulations will be complemented by experiments. We will study theoretically and experimentally biochemical reactions. We will find how actin-related structures are affected by field gradients. Using an electric field as a tool we will control the rate of actin polymerisation. We will investigate if an external field can damage cancer cells by disrupting their actin-related activity. The above phenomena will be studied in a microfluidics environment. We will elucidate the separation hydrodynamics occurring when thermodynamically miscible liquids flow in a channel and how electric fields can reversibly create and destroy optical interfaces, as is relevant in optofluidics. Chemical and biological reactions will be examined in the context of lab-on-a-chip.

Keywords: electric field gradients,chemical reactions,actin polymerisation