Blaise Pascal University , also known as Université Blaise Pascal, Clermont-Ferrand II or just Clermont-Ferrand II, is a public university with its main campus on 53 acres in Clermont-Ferrand, France, with satellite locations in other parts of the region of Auvergne, including Vichy, Moulins, Montluçon, and Aubière. Wikipedia.
Valbiotis, University Blaise Pascal, University of La Rochelle and Cnrs | Date: 2016-10-18
The subject of the invention is a composition comprising at least a mixture of molecules obtained at least from: This composition is particularly useful as a nutritional product or health product for preventing and/or combating carbohydrate and/or fat metabolism disorders in humans and animals.
Basf and University Blaise Pascal | Date: 2015-03-10
The present invention relates to a composition comprising (A) at least one carboxy-functional polyester having an acid number in the range from 20 to 250 mg KOH/g, prepared using at least one difunctional monomer (a1) with aliphatic groups having 12 to 70 carbon atoms between the functional groups, and also (B) at least one synthetic layered hydroxide, where the at least one layered hydroxide (B) is prepared in the presence of the polyester (A). The present invention further relates to the preparation of the composition and also to the use of the composition as coating material.
Ms Developpement Et Participations, University Blaise Pascal, French National Center for Scientific Research and National Graduate School of Chemistry of Clermont Ferrand | Date: 2015-03-23
The method for reducing the chromium content, in particular the hexavalent chromium content, present in a liquid effluent loaded with solid particles, called the initial effluent (1), comprises at least one reduction step (9) by the addition, to the initial effluent, of a weak organic acid (10) in an amount sufficient to reduce the hexavalent chromium present in the initial effluent into a lower valency, namely into trivalent chromium, said step being followed by a step of discharging the treated liquid effluent, called the final effluent. It comprises at least a step of collecting the solid particles present in the initial effluent, at least by settling and a reduction step (9) which is performed after adjustment (12) of the pH of the initial effluent to a pH value lower than the initial pH of the initial effluent while remaining compatible with a discharge of the final effluent at this pH value. The invention also comprises a plant for implementing the method.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: BIOTEC-6-2015 | Award Amount: 7.96M | Year: 2016
Biological sequence diversity in nowhere as apparent as in the vast sequence space of viral genomes. The Virus-X project will specifically explore the outer realms of this diversity by targeting the virosphere of selected microbial ecosystems and investigate the encoded functional variety of viral gene products. The project is driven by the expected large innovation value and unique properties of viral proteins, previously demonstrated by the many virally-derived DNA and RNA processing enzymes used in biotechnology. Concomitantly, the project will advance our understanding of important aspects of ecology in terms of viral diversity, ecosystem dynamics and virus-host interplay. Last but not least, due to the inherent challenges in gene annotation, functional assignments and other virus-specific technical obstacles of viral metagenomics, the Virus-X project specifically addresses these challenges using innovative measures in all parts of the discovery and analysis pipeline, from sampling difficult extreme biotopes, through sequencing and innovative bioinformatics to efficient production of enzymes for molecular biotechnology. Virus-X will advance the metagenomic tool-box significantly and our capabilities for future exploitation of viral biological diversity, the largest unexplored genetic reservoir on Earth.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FETPROACT-2-2014 | Award Amount: 2.89M | Year: 2015
Contemporary research endeavours aim at equipping artificial systems with human-like cognitive skills, in an attempt to promote their intelligence beyond repetitive task accomplishment. However, despite the crucial role that the sense of time has in human cognition, both in perception and action, the capacity of artificial agents to experience the flow of time remains largely unexplored. The inability of existing systems to perceive time constrains their potential understanding of the inherent temporal characteristics of the dynamic world, which in turn acts as an obstacle to their symbiosis with humans. Time perception is without doubt, not an optional extra, but a necessity for the development of truly autonomous, cognitive machines. TIMESTORM aims at bridging this fundamental gap by shifting the focus of human-machine confluence to the temporal, short- and long-term aspects of symbiotic interaction. The integrative pursuit of research and technological developments in time perception will contribute significantly to ongoing efforts in deciphering the relevant brain circuitry and will also give rise to innovative implementations of artifacts with profoundly enhanced cognitive capacities. Equipping artificial agents with temporal cognition establishes a new framework for the investigation and integration of knowing, doing, and being in artificial systems. The proposed research will study the principles of time processing in the human brain and their replication in-silico, adopting a multidisciplinary research approach that involves developmental studies, brain imaging, computational modelling and embodied experiments. By investigating artificial temporal cognition, TIMESTORM inaugurates a novel research field in cognitive systems with the potential to contribute to the advent of next generation intelligent systems, significantly promoting the seamless integration of artificial agents in human societies.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-10-2015 | Award Amount: 1.96M | Year: 2016
Air pollution is the environmental topic that European citizens worry about most (Eurobarometer 2013). It puts considerable damage to health, agriculture and our natural environment. Despite these facts, the readiness and power of European citizens to take actions themselves is limited. The drivers of the CAPTOR project are three large civil society organizations. Being the interface between ministries for environmental issues, national and local political decision makers and the citizens, their experience evidences that the provision of data and information on air pollution to citizens in top-down and passive ways, as it happens today, is not sufficient to engage a critical mass of participating citizens required to support transitions in the systems of production and consumption that are the root cause of air pollution. CAPTOR combines the concepts of citizen science, collaborative learning and environmental grassroots activism to leverage the collective intelligence of existing networks of local communities, allowing them to understand reasons and consequences of air pollution; to stimulate debate; to address authorities with scientific valuable, robust data from citizens network of monitoring stations; and to transform this discussion into solutions. It runs three big pilots in Austria, Italy and Spain, driven by grassroots activists and local communities where citizens will engage in the project on different levels to address their concerns. The consortium includes a balanced group of multidisciplinary partners, including: institutions with recognised experience in ICT technologies, and in environmental and social sciences; one of the largest community networks in the world; and 3 NGOs with experience in grass root environmental activism and a strong links in the territory. The project has a large impact capacity, as it is reflected by the fact that more than 82 stakeholders from 21 European countries have already shown interest in the proposal results.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ENV.2013.6.1-2 | Award Amount: 11.51M | Year: 2013
Massive economic and population growth and urbanisation are expected to lead to a tripling of anthropogenic emissions in southern West Africa (SWA) between 2000 and 2030, the impacts of which on human health, ecosystems, food security and the regional climate are largely unknown. An assessment of these impacts is complicated by (a) a superposition with effects of global climate change, (b) the strong dependence of SWA on the sensitive West African monsoon, (c) incomplete scientific understanding of interactions between emissions, clouds, radiation, precipitation and regional circulations and (d) by a lack of observations to advance our understanding and improve predictions. The DACCIWA project will conduct extensive fieldwork in SWA to collect high-quality observations, spanning the entire process chain from surface-based natural and anthropogenic emissions to impacts on health, ecosystems and climate. Combining the resulting benchmark dataset with a wide range of modelling activities will allow (a) to assess all relevant physical and chemical processes, (b) to improve the monitoring of climate and compositional parameters from space and (c) to develop the next generation of weather and climate models capable of representing coupled cloud-aerosol interactions, which will ultimately lead to reduced uncertainties in climate predictions. SWA with its rich mix of emissions and diverse clouds is ideal for such a study and many findings and technical developments will be applicable to other monsoon regions. Using a targeted dissemination strategy, DACCIWA will deliver a comprehensive scientific assessment and actively guide sustainable future planning and policy-making for West Africa and beyond. The interdisciplinary and experienced DACCIWA team will build on the scientific and logistical foundations established by AMMA (EU FP6) and collaborate closely with operational centres, international programs (e.g. WCRP, IGBP), policy-makers and users to maximise impact.
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2015-ETN | Award Amount: 2.40M | Year: 2015
With the 2012 discovery of the Higgs boson at the Large Hadron Collider, LHC, the Standard Model of particle physics has been completed, emerging as a most successful description of matter at the smallest distance scales. But as is always the case, the observation of this particle has also heralded the dawn of a new era in the field: particle physics is now turning to the mysteries posed by the presence of dark matter in the universe, as well as the very existence of the Higgs. The upcoming run of the LHC at 13 TeV will probe possible answers to both issues, providing detailed measurements of the properties of the Higgs and extending significantly the sensitivity to new phenomena. Since the LHC is the only accelerator currently exploring the energy frontier, it is imperative that the analyses of the collected data use the most powerful possible techniques. In recent years several analyses have utilized multi-variate analysis techniques, obtaining higher sensitivity; yet there is ample room for further improvement. With our programme we will import and specialize the most powerful advanced statistical learning techniques to data analyses at the LHC, with the objective of maximizing the chance of new physics discoveries. We aim at creating a network of European institutions to foster the development and exploitation of Advanced Multi-Variate Analysis (AMVA) for New Physics searches. The network will offer extensive training in both physics and advanced analysis techniques to graduate students, focusing on providing them with the know-how and the experience to boost their career prospects in and outside academia. The network will develop ties with non-academic partners for the creation of interdisciplinary software tools, allowing a successful knowledge transfer in both directions. The network will study innovative techniques and identify their suitability to problems encountered in searches for new physics at the LHC and detailed studies of the Higgs boson sector.
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-EJD | Phase: MSCA-ITN-2015-EJD | Award Amount: 3.18M | Year: 2015
The present economic model of permanent growth is unstable and leads to cycles of growth, peaks and crashes. We propose to contribute to developing new economic thinking based on knowledge of global resources availability. The Adaptation to a New Economic Reality (AdaptEconII) project is divided into three parts: 1. Sustainable resource management; 2. Integrated economic systems assessment; and 3. Integrating society and economics. These components will be combined to form an overarching economic model built on socio-environmental-technical (SET) system analysis of causal links and feedback structures and system dynamics. A simple prototype of such a model (WORLD) has already been built by the applicants and tested on historical data. Twelve Early Stage Researchers (ESRs) will be trained to obtain European Joint Doctorates at three universities: University of Iceland (Reykjavik, Iceland), Stockholm University (Sweden) and Universite Blaise Pascal, Clermont-Ferrand (France). The ESRs will have secondments in research institutes/NGOs/SMEs in Germany (GWS and Wuppertal Institute), UK (New Economics Foundation and Schumacher Institute) and Sweden (Swedish National Defense College). All of the ESRs will have a career plan and be trained in system analysis and system dynamics in addition to conventional and biophysical economic paradigms. They will be presented with aspects of resource availability, links between resources and wealth, the rise of new and/or rediscovered values and realization of our interdependent world, new development paradigms, political and industrial ecology, as well as science for sustainable society and transferable skills. AdaptEconII will train ESRs in new economic thinking and the goal is for them be at the forefront of innovative economic thinking in the EU and the world.