Agency: European Commission | Branch: FP7 | Program: CSA-CA | Phase: ENV.2013.6.5-2 | Award Amount: 1.20M | Year: 2013
Mobilizing knowledge suggests that there is need to dynamize the context in which knowledge about risks is developed, shared, and maintained. It conveys the implicit assumption that knowledge is perhaps currently fragmented and stuck in different compartments and bodies, be they institutions, agencies, universities, research centres, communities, individuals. While with this proposal we fully agree with this assumption, we think it is time to abandon the idea of a knowledge transfer, as a good that can be moved from the scientific arena into policy making or into administrative practices. The questions that we wish to ask are who should know what, who actually knows, and if knowledge produced in various ways and fields is effective in achieving disaster risk reduction and climate change prevention and adaptation. Three issues seem particularly relevant to explore: - Fragmentation and separations of arenas (i.e. Scientists, Public and private agencies or organizations in the field of prevention) - Changes that have occurred in risk knowledge management strategies overtime - Knowledge management about risk in times of crisis. The main objective of this proposal is to frame a knowledge management system for disaster risk reduction and climate change adaptation that may be considered as a comprehensive reference for establishing, reinforcing, or revising current prevention, mitigation and adaptation strategies. Such knowledge system will embody what has been achieved in different arenas and by different social groups in the field of prevention, preparedness and adaptation. In order to do so, a circular process between scientific and technical analysis and dissemination will be developed, so as to make use of a wider expertise and reach a larger audience. We want to use some of the dissemination activities as small tests of what deem should be done at large for creating an effective development, sharing, and maintenance of knowledge.
Agency: European Commission | Branch: FP7 | Program: NOE | Phase: ICT-2011.1.6 | Award Amount: 5.99M | Year: 2011
The goal of EINS is coordinating and integrating European research aimed at achieving a deeper multidisciplinary understanding of the development of the Internet as a societal and technological artefact, whose evolution is increasingly interwined with that of human societies. Its main objective is to allow an open and productive dialogue between all the disciplines which study Internet systems under any technological or humanistic perspective, and which in turn are being transformed by the continuous advances in Internet functionalities and applications. EINS will bring together research institutions focusing on network engineering, computation, complexity, security, trust, mathematics, physics, sociology, game theory, economics, political sciences, humanities, law, energy, transport, artistic expression, and any other relevant social and life sciences.\nThis multidisciplinary bridging of the different disciplines may also be seen as the starting point for a new Internet Science, the theoretical and empirical foundation for an holistic understanding of the complex techno-social interactions related to the Internet. It is supposed to inform the future technological, social, political choices concerning Internet technologies, infrastructures and policies made by the various public and private stakeholders, for example as for the far-ended possible consequences of architectural choices on social, economic, environmental or political aspects, and ultimately on quality of life at large.\nThe individual contributing disciplines will themselves benefit from a more holistic understanding of the Internet principles and in particular of the network effect. The unprecedented connectivity offered by the Internet plays a role often underappreciated in most of them; whereas the Internet provides both an operational development platform and a concrete empirical and experimental model. These multi- and inter-disciplinary investigations will improve the design of elements of Future Internet, enhance the understanding of its evolving and emerging implications at societal level, and possibly identify universal principles for understanding the Internet-based world that will be fed back to the participating disciplines. EINS will:\nCoordinate the investigation, from a multi-disciplinary perspective, of specific topics at the intersection between humanistic and technological sciences, such as privacy & identity, reputation, virtual communities, security & resilience, network neutrality\nLay the foundations for an Internet Science, based i.a. on Network Science and Web Science, aiming at understanding the impact of the network effect on human societies & organisations, as for technological, economic, social & environmental aspects\nProvide concrete incentives for academic institutions and individual researchers to conduct studies across multiple disciplines, in the form of online journals, conferences, workshops, PhD courses, schools, contests, and open calls
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: BG-10-2014 | Award Amount: 5.28M | Year: 2015
The overall aim of PrimeFish is to improve the economic sustainability of European fisheries and aquaculture sectors. PrimeFish will gather data from individual production companies, industry and sales organisations, consumers and public sources. The data will be related to the competitiveness and economic performance of companies in the sector; this includes data on price development, supply chain relations, markets, consumer behaviour and successful product innovation. The large industry reference group will facilitate access to data on specific case studies. A data repository will be created, and PrimeFish will join the H2020 Open Research Data Pilot to ensure future open access to the data. The effectiveness of demand stimulation through health, label and certification claims will be evaluated and compared with actual consumer behaviour. PrimeFish will assess the non-market value associated with aquaculture and captured fisheries as well as the effectiveness of regulatory systems and thereby provide the basis for improved societal decision making in the future. The collected data will be used to verify models and develop prediction algorithms that will be implemented into a computerized decision support system (PrimeDSS). The PrimeDSS, together with the underlying data, models, algorithms, assumptions and accompanying user instructions will form the PrimeFish Decision Support Framework (PrimeDSF). The lead users, typically fishermen, aquaculture producers and production companies, will be able to use the PrimeDSF to improve understanding of the functioning of their markets and in setting strategic plans for future production and innovation which in turn will strengthen the long term viability of the European fisheries and aquaculture sectors. This will also benefit consumers, leading to more diversified European seafood products, enhanced added value, novel products and improved information on origin, certification and health claims.
Agency: European Commission | Branch: FP7 | Program: CP-IP | Phase: NMP-2009-4.0-3 | Award Amount: 16.52M | Year: 2010
NAMDIATREAM will develop a cutting edge nanotechnology-based toolkit for multi-modal detection of biomarkers of most common cancer types and cancer metastases, permitting identification of cells indicative of early disease onset in a high-specificity and throughput format in clinical, laboratory and point-of-care devices. The project is built on the innovative concepts of super-sensitive and highly specific lab-on-a-bead, lab-on-a-chip and lab-on-a-wire nano-devices utilizing photoluminescent, plasmonic, magnetic and non-linear optical properties of nanomaterials. This offers groundbreaking advantages over present technologies in terms of stability, sensitivity, time of analysis, probe multiplexing, assay miniaturisation and reproducibility. The ETP in Nanomedicine documents point out that nanotechnology has yet to deliver practical solutions for the patients and clinicians in their struggle against common, socially and economically important diseases such as cancer. Over 3.2M new cases and 1.7M cancer-related deaths are registered in Europe every year, largely because diagnostic methods have an insufficient level of sensitivity, limiting their potential for early disease identification. We will deliver Photoluminescent nanoparticle-based reagents and diagnostic chips for high throughput early diagnosis of cancer and treatment efficiency assessment Nanocrystals enabling plasmon-optical and nonlinear optical monitoring of molecular receptors within body fluids or on the surface of cancer cell Multi-Parameter screening of cancer biomarkers in diagnostic material implementing segmented magnetic nanowires Validation of nano-tools for early diagnosis and highly improved specificity in cancer research. OECD-compliant nanomaterials with improved stability, signal strength and biocompatibility Direct lead users of the results will be the diagnostic and medical imaging device companies involved in the consortium, clinical and academic partners
Revil A.,Colorado School of Mines |
Revil A.,University of Savoy
Water Resources Research | Year: 2013
A model combining low-frequency complex conductivity and high-frequency permittivity is developed in the frequency range from 1 mHz to 1 GHz. The low-frequency conductivity depends on pore water and surface conductivities. Surface conductivity is controlled by the electrical diffuse layer, the outer component of the electrical double layer coating the surface of the minerals. The frequency dependence of the effective quadrature conductivity shows three domains. Below a critical frequency fp, which depends on the dynamic pore throat size, the quadrature conductivity is frequency dependent. Between fp and a second critical frequency fd, the quadrature conductivity is generally well described by a plateau when clay minerals are present in the material. Clay-free porous materials with a narrow grain size distribution are described by a Cole-Cole model. The characteristic frequency fd controls the transition between double layer polarization and the effect of the high-frequency permittivity of the material. The Maxwell-Wagner polarization is found to be relatively negligible. For a broad range of frequencies below 1 MHz, the effective permittivity exhibits a strong dependence with the cation exchange capacity and the specific surface area. At high frequency, above the critical frequency fd, the effective permittivity reaches a high-frequency asymptotic limit that is controlled by the two Archie's exponents m and n like the low-frequency electrical conductivity. The unified model is compared with various data sets from the literature and is able to explain fairly well a broad number of observations with a very small number of textural and electrochemical parameters. It could be therefore used to interpret induced polarization, induction-based electromagnetic methods, and ground penetrating radar data to characterize the vadose zone. © 2013. American Geophysical Union. All Rights Reserved.
Glashow S.L.,Boston University |
Guadagnoli D.,University of Savoy |
Lane K.,Boston University
Physical Review Letters | Year: 2015
The LHCb Collaboration's measurement of RK=B(B+→K+μ+μ-)/B(B+→K+e+e-) lies 2.6σ below the Standard Model prediction. Several groups suggest this deficit to result from new lepton nonuniversal interactions of muons. But nonuniversal leptonic interactions imply lepton flavor violation in B decays at rates much larger than are expected in the Standard Model. A simple model shows that these rates could lie just below current limits. An interesting consequence of our model, that B(Bs→μ+μ-)exp/B(Bs→μ+μ-)SM≅RK≅0.75, is compatible with recent measurements of these rates. We stress the importance of searches for lepton flavor violations, especially for B→Kμe, Kμτ, and Bs→μe, μτ. © 2015 American Physical Society.
Mirizzi A.,University of Hamburg |
Serpico P.D.,University of Savoy
Physical Review Letters | Year: 2012
The usual description of self-induced flavor conversions for neutrinos (ν's) in supernovae is based on the simplified assumption that all the ν's of the different species are emitted "half-isotropically" by a common neutrinosphere, in analogy to a blackbody emission. However, realistic supernova simulations show that ν angular distributions at decoupling are far from being half-isotropic and, above all, are flavor dependent. We show that flavor-dependent angular distributions may lead to crossing points in the angular spectra of different ν species (where Fν e= Fν x and Fν ̄e=Fν ̄x) around which a new multiangle instability can develop. To characterize this effect, we carry out a linearized flavor stability analysis for different supernova neutrino angular distributions. We find that this instability can shift the onset of the flavor conversions toward low radii and produce a smearing of the splitting features found with trivial ν emission models. As a result the spectral differences among ν's of different flavors could be strongly reduced. © 2012 American Physical Society.
Agency: European Commission | Branch: FP7 | Program: MC-CIG | Phase: FP7-PEOPLE-2012-CIG | Award Amount: 75.00K | Year: 2013
This project is a multi-disciplinary effort to integrate two complementary fields of Computer Science, namely fuzzy regression analysis and constraint-based reasoning, in order to develop decision support systems for optimization problems permeated with measurement uncertainty. Data uncertainty due to imprecise or incomplete measurements is ubiquitous in many real world applications. Recently, models derived from fuzzy regression analysis have been defined to represent incomplete and imprecise measurements. They are mostly used in complex systems analysis seeking a correlation between crisp or fuzzy measurements. The Constraint Programming (CP) paradigm has proved successful to tackle decision and optimization problems in planning and resource optimization. Interestingly, it handles some forms of uncertainty, but has not, to our knowledge, been enhanced to deal with fuzzy regression models. Our objectives are threefold: 1) to study the theoretical aspect of integrating two complementary paradigms, 2) to design and implement an interval regression constraint system, and apply it to a case study in the field of Renewable Energies (RE) techno-economics. The decision support prototype will tackle the problem of RE portfolio optimization for short and longer term, 3) to disseminate our results at the EU and International levels. The objectives will be achieved by combining the host expertise in fuzzy regression models, and the applicants expertise in CP languages and optimization techniques, and her more recent works in RE techno-economics problems in Egypt. A set of three activities matching the objectives will be carried out divided into survey, design and implementation work packages and clear milestones. This project is relevant to CIG Work Programme for 3 main reasons: 1) it is a multi-disciplinary project, 2) expertise will be transferred and acquired, 3) dissemination and re-integration will enhance EU research excellence already strong in these domains.
University of Savoy and Pellenc Selective Technologies | Date: 2012-12-05
Automatic process and installation for inspecting and/or sorting objects or articles belonging to at least two different categories, and made to advance approximately in a single layer, for example on a conveyor belt or a similar transport support. The process includes subjecting the advancing flow of objects or articles to at least two different types of contactless analysis by radiation, whose results are used in a combined manner for each object or article to perform a discrimination among these objects or articles and/or an evaluation of at least one characteristic of the latter, the analyses including at least one surface analysis process able to determine the physical and/or chemical composition of the outer layer of an object or article exposed to the radiation used in this process, and at least one volume analysis process able to determine the equivalent thickness of material of the same object or article.
Chirmat Sarl, Tural, University of Applied Sciences, Arts Western Switzerland and University of Savoy | Date: 2013-03-14
Surgical implant for treating fractures of long bones, notably of the femur, having an intramedullary section (52) of elongated shape, adapted for being inserted into the medullary cavity (37), an extramedullary section (56) substantially parallel to the intramedullary section (52), a deformable curved loop (57) connecting the intramedullary section (52) to the extramedullary section (56), an inclined screw (61) traversing said intramedullary section (52) and said extramedullary section (56). By deforming the loop (57), a continuous adjustment of the angle () of the cephalic screw (61) and thus an optimal adaptation of the implant to the individual anatomy can be achieved. Thanks to its geometry, this implant induces a protection of the greater trochanter and limits the mechanical loads between the cephalic screw (61) and the rest of the implant.