
University of Lyon 1
University of Lyon 1
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9 Projects, page 1 of 2
assignment_turned_in Project2007 - 2010Partners:Claude Bernard University Lyon 1, The Open University, OU, University of Lyon 1, Claude Bernard University Lyon 1Claude Bernard University Lyon 1,The Open University,OU,University of Lyon 1,Claude Bernard University Lyon 1Funder: UK Research and Innovation Project Code: EP/E039618/1Funder Contribution: 265,633 GBPAbstract from the Case for Support document (section 2):This research project is centred upon the parallel construction, development, and use of two complimentary experimental systems to study processes induced by ionisation in irradiated biomolecular systems. The principle objective is to compare the effects of irradiating a specific target molecule within a cluster with the case of the molecule in isolation. In addition to their fundamental interest in molecular and statistical physics, these experiments will help to bridge the complexity gap between the current understanding of radiation effects in the gas phase and in an absorbing biological medium. This represents a major current research challenge for physicists, chemists, and biologists, with important applications in quantifying the effects of exposure to different types of radiation during cancer therapies.The first experimental system is a versatile and mobile source for hydrated DNA base clusters, proposed for construction at the Open University. During the three year programme, this source will be used to carry out 2- and 1-photon electronic excitation experiments to probe the effects of solvated water molecules upon the valence and Rydberg energy states of key biomolecules and the associated dissociation pathways. The second experimental system, located at the Nuclear Physics Institute of Lyon, will enable a detailed study to be carried out on collisions between fast protons and mass-selected cluster ions comprising DNA bases and water molecules. The major technical challenge in this part of the project is the development of a multi-coincidence detection system for the characterisation of ionisation showers, electron emission, and free radical production induced by proton-cluster collisions. These inter-molecular processes are believed to play important roles in radiation damage to living material.
more_vert assignment_turned_in Project2007 - 2009Partners:AGH University of Science and Technology, ISTI-CNR, OvGU, Claude Bernard University Lyon 1, 3dMD Ltd +12 partnersAGH University of Science and Technology,ISTI-CNR,OvGU,Claude Bernard University Lyon 1,3dMD Ltd,Claude Bernard University Lyon 1,Jagiellonian University,UCLAN,Cergy Pontoise University,INRA Sophia Antipolis,University of Central Lancashire,Cergy Pontoise University,3dMD Ltd,CNR,Inria Sophia Antipolis / LIRMM,University of Lyon 1,Jagiellonian UniversityFunder: UK Research and Innovation Project Code: EP/F013698/1Funder Contribution: 154,386 GBPRadiotherapy kills cancerous cells by repeatedly targeting a tumour with high energy radiation. Although image assisted pre-treatment planning based on CT is performed to minimise the amount of healthy tissues being irradiated, the planned treatment is delivered in a manner that is effectively blind, because there is no monitoring of the patient motion and internal anatomy during radiation treatment delivery and no, dynamically modelled, consideration of possible body change during treatment period. This uncomfortable state of affairs persists worldwide, despite complex new treatments and image guided radiotherapy (IGRT) which members of the consortium helped to develop. Furthermore, there is a concern on the additional imaging radiation dose to the patient from the IGRT. Hence, the MEGURATH project was proposed to introduce metrology guided radiotherapy (MGRT), where the patient is measured, imaged and modelled during treatment delivery via optical sensing to provide non-invasive, radiation-free, real-time 3D patient position monitoring, and dynamic deformation modelling to determine the internal anatomical changes. The project is considered as a significant one with a leap forward approach for a grand challenge, and has attracted interest from Elekta Oncology Systems, Philips Medical Systems, VisionRT and NHS-IP.The MEGRATH programme consists of not only comprehensive research activities with diverse theoretical topics, but also translation of science and technology to the first purpose built IGRT research facility in the UK at the Christie Hospital, and the support of clinical studies selected from breast, lung, bowel, prostate and bladder cancers. The project is expected to make a world class contribution to radiotherapy by increasing our understanding of tumour target and organ at risk behaviour, treatment delivery and control of their impact on cure and complications. The marriage of anatomical modelling and dynamic 3D measurement on demand 'in-treatment', using light rather than ionising radiation like X-rays, will offer the opportunity to gain the pole position in engineering and computational science for oncology. The Collaborating for Success through People call is a valuable opportunity to support, complement, utilise and extend the MEGURATH project, thereby enabling the consortium to maintain, defend and widen its lead.The proposed programme of people-based activities starts with exploratory mutual visits by the PIs and group leaders for exchange of knowledge, creation of ideas and development of active collaboration, followed by two-way investigative short visits and relatively long research visits by researchers for synergistic development, cross application and performance evaluation of promising approaches, and finished by a workshop to provide a venue for the consortium to lead the development of a joint EU project proposal with the participating partners. To provide significant added value to the MEGURATH project in terms of scientific knowledge and new clinical applications, 7 eminent research groups and 1 leading 3D equipment company are selected for participation in the proposed people-based activities:-Two from Poland: Telemedicine Group from AGH University of Science and Technology, and Department of Scientific Information from Jagiellonian University Collegium Medicum;-Three from France: one from the French National Institute for Research in Computer Science and Control (INRIA), and the other two from National Centre for Scientific Research (CRNS), namely, Lyon Research Centre for Images and Intelligent Information Systems (LIRIS) and Signal and Image Processing Research Laboratory (ETIS);-One from Germany: Institute for Electronics Signal Processing and Communications (IESK) at Otto von Guericke Universitt Magdeburg; -One from Italy: Signals and Images Laboratory from the National Research Council (CNR); and-3dMD with the company headquarters in the USA.
more_vert assignment_turned_in Project2016 - 2021Partners:Imperial College London, Science and Technology Facilities Council, STFC - LABORATORIES, Leiden University, Pasteur Institute +31 partnersImperial College London,Science and Technology Facilities Council,STFC - LABORATORIES,Leiden University,Pasteur Institute,University of Warwick,National Institutes of Health (NIH),University of Florence,Claude Bernard University Lyon 1,University of Leicester,Free University of Brussels,Medical University of Graz,University of Birmingham,The Wellcome Trust Ltd,Universiteit Leiden, Faculteit der Wiskunde en Natuurwetenschappen, Leiden Institute of Chemistry (LIC), Catalysis and Surface Chemistry,Rutgers University,EPFZ,University of Alberta,University of Maryland Biotechnology Ins,University of Leicester,University of Bristol,MRC Centre Cambridge,EMBL - European Bioinformatics Institute,UNIVERSITY OF CAMBRIDGE,University of Oxford,MRC National Inst for Medical Research,The Francis Crick Institute,Helmholtz Zentrum München,Leibniz Inst. for Molecular Pharmacology,Cambridge Integrated Knowledge Centre,Normal Superior School (ENS) of Lyon,University of Lyon 1,CCP-Biosim,Utrecht University,ETH Zurich,Rutgers State University of New JerseyFunder: UK Research and Innovation Project Code: MR/P00038X/1Funder Contribution: 920,040 GBPThe Collaborative Computing Project for NMR (CCPN) was started in 2000 to improve the interoperability of software for biomolecular Nuclear Magnetic Resonance (NMR), and to promote a collaborative community for software users and programmers. Over the past fifteen years, the project has produced the CcpNmr suite of software for interactive NMR data analysis and software integration, which is now used worldwide by >1000 users. Through its conferences and workshops, CCPN also promotes best practices in both computational and experimental aspects of NMR, thus helping to maximise the impact of biological NMR research. CCPN has a leading role in the development of a NMR data-exchange format and coordination of NMR instrumentation proposals for RCUK and BIS. With the current proposal we seek to continue the CCPN project and to further expand its user community. Hence, over the next grant period we aim to: 1. Maintain and expand the CCPN code base. 2. Expand the capabilities and versatility of the CCPN software package. 3. Facilitate NMR-based scientific developments in collaboration with the partners of the project and the NMR community at large. 4. Promote and expand user uptake and user development of the software. 5. Provide support for research data management (RDM). 6. Support the training of researchers, sharing of knowledge and exchange of best-practices by the UK and international NMR community.
more_vert assignment_turned_in Project2020 - 2025Partners:OPUS Materials Technologies, Paint Research Association, Loughborough University, Claude Bernard University Lyon 1, University of Leicester +5 partnersOPUS Materials Technologies,Paint Research Association,Loughborough University,Claude Bernard University Lyon 1,University of Leicester,Solar platform Almeria,University of Lyon 1,University of Ulster,Indestructible Paint Ltd,Loughborough UniversityFunder: UK Research and Innovation Project Code: MR/T02061X/1Funder Contribution: 1,114,620 GBPThe need for more sustainable paints and coatings, which do not release harmful chemicals into the environment when drying, has driven major recent advances in waterborne products. However, a new manufacturing approach is now crucial to produce the next generation of waterborne paints and coatings to help tackle pressing economic and societal challenges, such as healthcare associated infections and the need to increase our production of renewable energies. The accumulation of pathogenic bacteria on surfaces is one of the leading causes of healthcare associated infections, which killed over 5,500 NHS patients in 2017 and cost the NHS more than £2.3 billion per year. New and more effective antibacterial coatings are therefore urgently needed to reduce bacterial accumulation on clinical surfaces and minimize the occurrence of healthcare-associated infections. My platform technology will further be transformative for the renewable energy sector. Although we can fabricate devices which convert over 45% of sunlight into electricity, most solar panels are located in arid or semi-arid regions, where their efficiency can be reduced by up to 30% because of dust and pollen accumulated on the panels. Currently, the anti-soiling coatings that keep solar panels clean are based on fluorinated components that have a have a long-lasting persistence in the environment and high tendency to accumulate in animals and humans. My proposed approach to fabricate anti-soiling coatings will reduce our dependency on fluorinated materials, increasing sustainability and reducing costs. This Fellowship aims to overcome these challenges by developing a bioinspired platform technology that will act as a springboard for the next generation of sustainable functional paints and coatings. As the base of the technology, structures found in the skin of insects that survive floods in the rainforest will be mimicked using a self-assembly process where the different building blocks order themselves during drying. These structures will provide self-cleaning properties to the coatings that are not based on the composition or chemistry of their ingredients (avoiding the need for fluorinated components) but on the surface geometry. This platform technology will then be adapted initially to add coating properties that will target the challenges of healthcare associated infections and solar panel efficiency reductions. To tackle healthcare associated infections, nanomaterials that kill bacteria, in the form of copper or zinc oxide nanoparticles, will be added to the coating formulation. The distribution of these nanomaterials will be optimized to locate them at the top surface of the coating, where they will be most effective as they will be in contact with adhering bacteria. These coatings will be tested in a real hospital environment, to quantify the reduction in bacterial growth when compared with a surface that has not been coated. To increase the efficiency of solar panels, nanomaterials that increase the resistance to wear and abrasion in arid climates will be added to the coating formulation. The composition of the coatings will be tuned to control their optical properties and minimize the adverse effects that sunlight reflection has on the efficiency of solar panels. The coatings will be tested in a real solar platform located in a desert, comparing the efficiency of a coated panel versus an uncoated one. My Fellowship will be transformative in its focus on reproducing the conditions that the paint industry uses when developing new products. In particular, the challenge of obtaining the same structures in a high viscosity/thickness paint, which is required to prevent paint sagging/dripping after application, will be addressed. This will be done in collaboration with three industrial paint partners, as well as preparing pilot scale paint formulations, to ensure a route towards innovation and product development.
more_vert assignment_turned_in Project2016 - 2023Partners:RU, FEI UK Ltd, China University of Geosciences, Eotvos Lorand University, University of Exeter +36 partnersRU,FEI UK Ltd,China University of Geosciences,Eotvos Lorand University,University of Exeter,University of Adelaide,uB,Rutgers University,UNIVERSITY OF EXETER,Claude Bernard University Lyon 1,Claude Bernard University Lyon 1,WWU,Polish Geological Institute,Jet Propulsion Laboratory,University of Copenhagen,Applied Biosystems,University of Copenhagen,Leibniz Institute for Applied Geophysics,National University of La Plata,PIG,George Mason University,Leibniz Institute for Applied Geophysics,University of Lyon 1,CNRS,FEI UK Ltd,Utrecht University,CUG,University of Bourgogne,Merlin Energy Resources Ltd,UNLP,TU Delft,University of Exeter,ELTE,Natural History Museum of Geneva,Merlin Energy Resources Ltd,CNRS,JET Propulsion Laboratory,Leibniz Institute for Applied Geophysics,University of Burgundy,George Mason University,Rutgers State University of New JerseyFunder: UK Research and Innovation Project Code: NE/N018508/1Funder Contribution: 1,838,980 GBPWe propose a large-scale, multi-faceted, international programme of research on the functioning of the Earth system at a key juncture in its history - the Early Jurassic. At that time the planet was subject to distinctive tectonic, magmatic, and solar system orbital forcing, and fundamental aspects of the modern biosphere were becoming established in the aftermath of the end-Permian and end-Triassic mass extinctions. Breakup of the supercontinent Pangaea was accompanied by creation of seaways, emplacement of large igneous provinces, and occurrence of biogeochemical disturbances, including the largest magnitude perturbation of the carbon-cycle in the last 200 Myr, at the same time as oceans became oxygen deficient. Continued environmental perturbation played a role in the recovery from the end-Triassic mass extinction, in the rise of modern phytoplankton, in preventing recovery of the pre-existing marine fauna, and in catalysing a 'Mesozoic Marine Revolution'. However, existing knowledge is based on scattered and discontinuous stratigraphic datasets, meaning that correlation errors (i.e. mismatch between datasets from different locations) confound attempts to infer temporal trends and causal relationships, leaving us without a quantitative process-based understanding of Early Jurassic Earth system dynamics. This proposal aims to address this fundamental gap in knowledge via a combined observational and modelling approach, based on a stratigraphic 'master record' accurately pinned to a robust geological timescale, integrated with an accurate palaeoclimatic, palaeoceanographic and biogeochemical modelling framework. The project has already received $1.5M from the International Continental Drilling Programme towards drilling a deep borehole at Mochras, West Wales, to recover a new 1.3-km-long core, representing an exceptionally expanded and complete 27 My sedimentary archive of Early Jurassic Earth history. This core will allow investigation of the Earth system at a scale and resolution hitherto only attempted for the last 65 million years (i.e. archive sedimentation rate = 5 cm/ky or 20 y/mm). We will use the new record together with existing data and an integrative modelling approach to produce a step-change in understanding of Jurassic time scale and Earth system dynamics. In addition to order of magnitude improvements in timescale precision, we will: distinguish astronomically forced from non-astronomically forced changes in the palaeoenvironment; use coupled atmosphere-ocean general circulation models to understand controls on the climate system and ocean circulation regime; understand the history of relationships between astronomically forced cyclic variation in environmental parameters at timescales ranging from 20 kyr to 8 Myr, and link to specific aspects of forcing relating to solar energy received; use estimated rates and timing of environmental change to test postulated forcing mechanisms, especially from known geological events; constrain the sequence of triggers and feedbacks that control the initiation, evolution, and recovery from the carbon cycle perturbation events, and; use Earth system models to test hypotheses for the origins 'icehouse' conditions. Thirty six project partners from 13 countries substantially augment and extend the UK-based research.
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