Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Standardisation of Point Absorber Wave Energy Convertors by Demonstration (STANDPOINT)

Framework: FP7 — Cooperation
Programme: Energy
Destination: Renewable electricity generation
Action type: Collaborative project
Countries involved: Germany,Sweden,Ireland,Spain,Portugal,Germany
Call:  (FP7-ENERGY-2008-TREN-1, 2008)
Start date: 2009-11-16
End date: 2014-11-15
Duration (months): 60.0
Total project cost (EUR): 8396980.8
EU funding (EUR): 5096652.0
Participants: 6
Project status: CLOSED

In contrast to other renewable energy sources, wave energy conversion is currently at a stage of evolution where it is being demonstrated using a wide range of very diverse technologies and a de facto standard approach is yet to emerge. A fully functional, but reduced scale prototype Wavebob wave energy converter (WEC) has already been deployed in the Atlantic Ocean. STANDPOINT will seek to demonstrate this WEC technology at full size for a further long term Atlantic Ocean deployment, 12 months of which will occur within the timeframe of the STANDPOINT project. Unlike its smaller-scale scale predecessor, it is intended that this pre-commercial WEC will be grid-connected. The intended location for the deployment is off the Portuguese coast. The indicative dimensions of the WEC for a full-scale deployment in this part of the Atlantic are 14 m diameter, 40 m draft. The WEC will have a power take-off (PTO) using proven hydraulic technology and a newly developed and innovative switched reluctance generator technology will also be investigated. There are 6 partners from 5 member states, including a Certification Body who will develop and disseminate rules and guidelines for wave energy converters. Innovative SMEs (including the co-ordinator) will demonstrate recently patented technology, in which they lead the state-of-the-art. A large power generation company, and various sub-contractors will work together to implement this ambitious full-scale demonstration. The aim is to establish the offshore tuneable-resonance point absorber as the winning wave energy conversion technique by demonstrating the superiority of its power take-off technology, adaptability to changing sea conditions, reliability and survivability.

Keywords: wave energy point absorber wavebob linear pto hydraulic certification rules guidelines risk assessment 1.2mw grid connect demonstration
String theory and noncommutative geometry (STRING)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Re-integration Grants
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Italy
Call:  (FP7-PEOPLE-IRG-2008, 2008)
Start date: 2009-06-01
End date: 2013-05-31
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

I am interested in various algebraic-geometric aspects of string theory and its implications for gravity, cosmology or gauge theories. I am investigating how different kinds of algebraic structures (e.g. Lie groups, Hopf algebras, supersymmetry, and their deformations appearing in noncommutative geometry) act as symmetries of different physical models. My main research topic is the study of applications of noncommutative geometry to physical systems, in particular to various kinds of gauge field theories, like theories with time-dependent backgrounds as they appear in string cosmology, as well as deformed supersymmetric theories and quantum groups. I have been able to find a cohomological approach which will enable me to solve these systems by using the rigidity of their algebroid structure to construct a suitable homotopy operator. This technique, originally developed in the context of deformation quantization for symplectic and Poisson structures, when combined with other techniques developed in the framework of Hopf algebras, such as the Drinfel’d twist, will allow me to gain me useful insights about these physical models as well as about the differential geometric structure of Lie algebroids and Lie 2-algebras. Another research topic, in which recently I am very interested, is the investigation of the geometry of exceptional Lie groups, such as G2, F4, E6, and their applications, e.g. for the construction of manifolds with G2 holonomy and as gauge groups for field theories which appear as low energy limits of string theories. Theories with G2 gauge group are relevant for quark confinement, while E6 is the most promising candidate as the symmetry for grand unification in particle physics. The same methods can be applied to other exceptional Lie groups, even E8. I have found a technique, which makes use of a suitable fibration of the group to generalize the Euler parametrization for SU(2), allowing me to compute explicitly the metric on the group manifolds.

Keywords: mathematical physics,lie group,algebroid,string theory,gauge theory,noncommutative geometry,differential geometry,symmetry,symplectic structure,deformation quantization
Structural Basis of Ubiquitin Protein Ligation (UBLIGATION)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Re-integration Grants
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Germany
Call:  (FP7-PEOPLE-IRG-2008, 2008)
Start date: 2010-09-01
End date: 2014-08-31
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

The attachment of Ubiquitin (Ub) to proteins (ubiquitination) is one of the most abundant post‐translational modifications in eukaryotes. Deregulation of the ubiquitination reaction is the cause of various diseases, including cancer. Ubiquitination is catalyzed by the sequential action of an activating (E1), a conjugating (E2), and a ligating (E3) enzyme. Ubiquitination enzymes contain catalytic cysteine residues that transfer Ub via thioester intermediates to a substrate lysine residue. The functional consequences of ubiquitination depend on the length and linkage of the attached Ub chain. While poly-ubiquitination commonly targets proteins for proteasomal degradation, mono- or multi-ubiquitination of receptor proteins serve as internalization or sorting signals. Interestingly, Ub ligases mediate both mono- and poly-ubiquitination depending on their substrates or other modulators. Although the basic principles of ubiquitination have been identified, the exact reaction mechanism underlying Ub protein ligation is still unknown. Furthermore, it is still unclear what determines whether a substrate is mono-, multi- or poly-ubiquitinated. To provide a structural basis of the ubiquitin protein ligation, we propose to use NMR spectroscopy in combination with biochemical tools to identify and characterize conformational changes and binding surfaces in HECT‐type Ub ligases at different steps of the ubiquitination reaction.

Keywords: ubiquitination,nmr spectroscopy,hect domain
Israeli Patent Law - Theoretical and Comparative Perspective (ISRAELI PATENT LAW)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Re-integration Grants
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Israel
Call:  (FP7-PEOPLE-IRG-2008, 2008)
Start date: 2009-07-01
End date: 2013-06-30
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

The proposed research is aimed at studying Israeli patent law from a theoretical and comparative law perspective. Unlike the U.S. and the EU, Israel has not seriously considered its patent law policies since the enactment of its 1967 Patent Act and no serious scholarly consideration of the subject has been undertaken since then. The Israeli high-tech sector is widely regarded as a hotbed of cutting-edge technologies, and as the growth engine of the Israeli economy in the 90s and beyond. Despite the appearance that Israel sprang onto the high-tech scene from nowhere, many factors have slowly melded together to produce an environment in which the creation of high technology has begun to thrive. Israel also has a very impressive scientific potential in the life sciences. However, in sharp contrast to the information technology sector, there are no R&D centers of major multi-national pharmaceutical or biotechnology companies in Israel. Some argue that the patent policy concerning pharmaceutical and biotechnology inventions constitutes a major barrier in realizing Israel's potential in this field. Israeli patent law needs to be updated in order to provide better opportunities in the biotechnology and pharmaceutical fields as well as sustain a mature high-tech industry. Therefore, the proposed project will focus on examining Israeli patent law from a theoretical and comparative perspective and strive to offer patent reforms initiatives that will modernize Israeli patent law doctrine. The project will focus attention on the underlying policies of patent doctrines. While the project is directed primarily toward a legal audience, it will also cover the economic and other policy considerations that frequently control the direction of the law in the area. These policy discussions are intended to provide the project's core legal audience with a deeper understanding of forces shaping the law.

Keywords: social sciences,comparative law,law,intellectual property law,patent law,law and economics of intellectual property law
Molecular signaling of Nitric Oxide (NO) during root growth in Arabidopsis (SIGNO)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European Re-integration Grants
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Spain
Call:  (FP7-PEOPLE-ERG-2008, 2008)
Start date: 2009-03-16
End date: 2012-09-13
Duration (months): 36.0
Total project cost (EUR): 45000.0
EU funding (EUR): 45000.0
Participants: 1
Project status: CLOSED

Root system development is an important agronomic trait. The right architecture in a given environment allows plants to survive periods of water of nutrient deficit, and compete effectively for resources. The identification of new components involved in the regulation of this process will allow, in the near future, to understand and manipulate plant development. Extensive research has shown that nitric oxide (NO) is a signalling molecule involved in several physiological processes during plant growth and development and also an important modulator of disease resistance. The present proposal is based on the following reasons: 1. The use of genomic and proteomic tools has been a powerful approach to understand fundamental processes in plant development. We will apply the “-omics” technologies to the identification of new elements involved in the NO signalling network. 2. One of the biggest challenges about the role of NO in plant signal transduction networks is the finding of real targets of NO. The nature of NO targets in plant growth and developmental processes still remains unclear. The identification of the elements that participate in these responses is, thus, essential to understand the NO perception and signalling within the seed and the seedling, which is a prerequisite for its genetic improvement. The hypothesis in this proposal is that nitric oxide (NO) acts in plant developmental processes through the interaction with other plant growth regulators, such as the phytohormone auxin, using similar molecular components. The main objective of this proposal is to get insight into the nitric oxide (NO) signalling network during root growth through genetic, proteomic and genomic approaches that may let to the identification of new components involved in the NO signal transduction pathway.

Keywords: plant development,plant growth,secondary metabolites (plant physiology),in vitro culture of plant material
The evolutionary consequences of inbreeding in natural populations: Genotypic-phenotypic interactions and implications for genetic diversity and evolutionary potential (ECOGENOMICS)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European Re-integration Grants
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Denmark
Call:  (FP7-PEOPLE-ERG-2008, 2008)
Start date: 2009-04-01
End date: 2012-03-31
Duration (months): 36.0
Total project cost (EUR): 45000.0
EU funding (EUR): 45000.0
Participants: 1
Project status: CLOSED

Studies of processes that maintain genetic variation for fitness are fundamental for understanding evolutionary forces shaping the life histories and phenotypic characteristics of animals. Such processes include evolutionary interactions between population genetic structure and mating system, dispersal patterns and social organization. The interplay between genetic diversity and adaptive evolution ultimately provides the necessary understanding for predicting evolutionary response to environmental change. My research proposal seeks to understand the selective forces underlying the evolution of cooperation and the evolutionary consequences of evolving inbreeding mating systems by merging ecological, genetic and genomic methodologies in a highly integrative and interdisciplinary approach.

Keywords: natural sciences,ecological genetics,genomics,population genetics,evolutionary biology,environmental genomics
Photonic Integration on Silicon Germanium (PIOS)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Re-integration Grants
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Türkiye
Call:  (FP7-PEOPLE-IRG-2008, 2008)
Start date: 2009-04-01
End date: 2013-03-31
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

Many of the true breakthroughs in our technology are related to materials and the understanding of their properties. Emergence of new semiconductor materials systems, especially in crystalline form, strongly shapes future photonics and electronics. Today, among such new promising material systems are crystalline Silicon/Germanium (Si/Ge) epitaxy. In these material systems, both academia and industry in the USA and the Far East seem to be making significant progress. It is thus crucial for Europe to invest and strengthen research efforts in these areas. Silicon is the most abundant element in the earth’s crust and dominates the microelectronics industry. Today Si based microelectronic technology sits on decades of processing experience and capital investment and offers advanced fabrication ability. In addition, silicon is widely used in optoelectronics in imaging (e.g., charged coupled devices―CCDs in the visible). Also, silicon finds wide-scale use in photovoltaics in optoelectronics. About 95% of the PV market is presently dominated by Si based solar cells. Although Si has been the dominant actor in electronics for a number of decades, only recently Si/Ge epitaxy has been possible to open up new opportunities both in electronics and photonics. For example, Si/Ge provides high mobility for high-speed transistors in electronics. Similarly, Si/Ge epitaxy allows for the fabrication of IR detector. To date SOI waveguides, Si based visible sensors and receivers have been successfully developed. Si/Ge platform is, however, not limited only to these devices and related applications and commercial interest. In this project, we aim to address this gap in the device product line of Si/Ge including efficient Si/Ge based light emitters, modulators, sub-wavelength IR detectors and multi-junction solar cells and expand their technological applications and commercial use critical both for Europe and around the globe.

Keywords: physics of semiconductors,optical and dielectric properties,optoelectronics,nanoelectronics
Computational intelligence methods in time-series analysis and forecasting with application to energy management systems (COMMIT-NRG)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European Re-integration Grants
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Portugal
Call:  (FP7-PEOPLE-ERG-2008, 2008)
Start date: 2009-05-01
End date: 2012-04-30
Duration (months): 36.0
Total project cost (EUR): 45000.0
EU funding (EUR): 45000.0
Participants: 1
Project status: CLOSED

The work programme herein proposed is composed of work packages from two research projects where the host institution is starting participation by the end of 2008. The projects consist of: (i) in a partnership with the Portuguese Power Grid Company (PPGC), obtaining electricity demand predictive models at a national scale, through the efficient use of computational intelligence methods. The resulting models will be employed in the PPGC dispatch centre to schedule the operation of electricity production plants; (ii) in a collaboration with the University of Algarve, develop model-based predictive control systems able to maximise people's thermal comfort in buildings, while simultaneously minimise the energy spent in achieving it. The goal is contributing with methods able to decrease energy consumption by climate conditioning devices in buildings, a measure which is estimated to potentially save 8% of the total energy consumption in the European Union. Regarding the first project, the role of the applicant is to supervise and actively participate in the research activities along with the team from the PPGC. In the second project he will participate in the majority of tasks with emphasis on those related to data acquisition, development of predictive models, and the development of the predictive control algorithm. A substantial part of the work in both projects will be devoted to the tasks of building long-term predictive models from acquired data (weather, indoors environment, and electricity demand data). As a consequence, this constitutes an excellent opportunity to contribute in advancing the state of the art of applying computational intelligence techniques in the determination of dynamical non-linear predictive models from acquired data in the form of time series, but also to improve the important energy management systems just described. The new skills and experience the applicant gained in his previous fellowship should contribute to achieve these goals.

Keywords: artificial neural networks,evolutionary computing,time-series analysis,forecasting,electricity load demand prediction,energy in buildings,hvac systems
Semi-supervised Structured Output Learning from Partially Labeled Data (SEMISOL)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European Re-integration Grants
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Czechia
Call:  (FP7-PEOPLE-ERG-2008, 2008)
Start date: 2009-06-01
End date: 2012-05-31
Duration (months): 36.0
Total project cost (EUR): 45000.0
EU funding (EUR): 45000.0
Participants: 1
Project status: CLOSED

Learning classifiers automatically from examples is subject to the multidisciplinary field of machine learning. The structured output learning (SOL) is concerned with the learning of classifiers for prediction of multiple interdependent variables exhibiting some structure dependence. Recent progress in SOL focuses mainly on supervised methods that require labeled examples. A high cost of labeled examples significantly limits application of SOL to many domains. Our goal is threefold. First, to developed framework for semi-supervised SOL from cheap partially labeled examples. Second, to apply this new framework to two important SOL tasks: (i) Markov Networks learning and (ii) learning of 2-dimensional image grammars. Third, to use the new algorithms for solving computer vision problems including the image segmentation and the car license plate recognition. To achieve the first goal, we will examine two strategies. First, we will combine powerful discriminative methods for SOL with generative models offering a principled way to deal with missing labels. Second, we will extend the existing semi-supervised methods in order to handle the partially labeled examples. To achieve the second goal, we will incorporate the existing methods for supervised SOL of Markov Networks and 2D grammars to the framework developed as the first goal. To achieve the third goal, we will build on the technology for image segmentation and license plate recognition developed by the host. The currently used classification methods will be replaced by the developed semi-supervised SOL algorithms to demonstrate their effectiveness on real-life problems. Achieving the goals will be possible by joining the expertise of the applicant and the host. This applies both to theoretical and application oriented goals. The applicant is experienced in SOL and Markov Networks while the host will complement this with a large expertise in 2D grammars and computer vision.

Keywords: technological sciences,computer engineering,machine learning,classification,structure output learning,semi-supervised learning,computer vision
A new role for CD44 in carcinogenesis (CD44 CARCINOGENESIS)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European Re-integration Grants
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: France
Call:  (FP7-PEOPLE-ERG-2008, 2008)
Start date: 2009-04-10
End date: 2012-04-09
Duration (months): 36.0
Total project cost (EUR): 45000.0
EU funding (EUR): 45000.0
Participants: 1
Project status: CLOSED

CD44 is a type I transmembrane glycoprotein highly polymorphic expressed in most tissues. The single gene can give rise to many different transcripts, named CD44 variants. CD44 represents the principal receptor for the main matrix glycosaminoglucan component, the hyaluronic acid (Ponta et al., 2003). CD44 is a multifunctional protein involved in lymphocyte homing and activation, cell migration or apoptosis. CD44 functions are modulated by metalloproteases that cleave the extracellular part of CD44, giving rise to a soluble form. The remaining transmembrane part of CD44 can be further cleaved by gamma-secretase resulting in the liberation of the C-terminus tail, called CD44ICD (intracellular domain), which translocates to the nucleus. Although, the functions of CD44ICD are not yet understood, it has been shown that it can potentiate its own transcription in a p300/CBP dependant manner (Okamoto et al., 2001). Recent work from Manié and colleagues has shown that CD44ICD per se possesses a transforming activity which is actively participating in the oncogenesis induced by the oncogenic form of Ret MEN2A (Multiple Endocrine Neoplasia type 2A, characterized by medullary carcinoma in the thyroid), revealing a new function for CD44ICD in tumorigenesis (Pelletier et al., 2006). Interestingly, they also observed that CD44ICD potentiates NF-κB transcriptional activity in the context Ret-MEN2A, which is particularly interesting because NF-κB was shown to be an important mediator of cellular transformation by MEN2A (Ludwig et al., 2001) (unpublished data). Finally the group also detected CD44ICD in several human tumoral tissues including colon carcinoma. Altogether these data suggest a new role for CD44 in carnogenesis. The aim of the present project will be to characterize the molecular mechanisms through which CD44ICD promotes cell transformation by investigating the molecular partners and the transcriptional targets of CD44ICD.

Keywords: cd44,cell transformation,carcinogenesis,transcription