Science And Technology Facilities Council | Date: 2011-04-21
The present invention relates to a method of generating a lipid profile for a sample solution. The method comprising: a first step of determining the concentration of total lipoprotein in a first aliquot of the sample using fluorescence analysis; a second step of determining the concentration of total cholesterol in a second aliquot of the sample using fluorescence analysis; and optionally a third step of determining the concentration of HDL in a third aliquot of the sample using fluorescence analysis. The concentrations of the total lipoprotein, and of total cholesterol may be used to calculate other lipid components and thereby generate a lipid profile. The invention also concerns apparatus that may be used to perform the method of the invention.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-04-2015 | Award Amount: 6.28M | Year: 2016
VINEYARD will develop an integrated platform for energy-efficient data centres based on new servers with novel, coarse-grain and fine-grain, programmable hardware accelerators. It will, also, build a high-level programming framework for allowing end-users to seamlessly utilize these accelerators in heterogeneous computing systems by using typical data-centre programming frameworks (e.g. MapReduce, Storm, Spark, etc.). VINEYARD will develop two types of energy-efficient servers integrating two novel hardware accelerator types: coarse-grain programmable dataflow engines and fine-grain all-programmable FPGAs that accommodate multiple ARM cores. The former will be suitable for data centre applications that can be represented in dataflow graphs while the latter will be used for accelerating applications that need tight communication between the processor and the hardware accelerators. Both types of programmable accelerators will be customized based on application requirements, resulting in higher performance and significantly reduced energy budgets. VINEYARD will additionally develop a new programming framework and the required system software to hide the programming complexity of the resulting heterogeneous system based on the hardware accelerators. This programming framework will also allow the hardware accelerators to be swapped in and out of the heterogeneous infrastructure so as to offer efficient energy use. VINEYARD will foster the expansion of the soft-IP cores industry, currently limited in the embedded systems, to in data centre market. The VINEYARD consortium has strong industrial foundations, and covers the whole value chain in the data-centre ecosystem; from the data-centre vendors up to the data-centre application programmers. VINEYARD plans to demonstrate the advantages of its approach in three real use-cases a) a bioinformatics application for high-accuracy brain modelling, b) two critical financial applications and c) a big-data analysis application.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: EINFRA-1-2014 | Award Amount: 19.05M | Year: 2015
EUDAT2020 brings together a unique consortium of e-infrastructure providers, research infrastructure operators, and researchers from a wide range of scientific disciplines under several of the ESFRI themes, working together to address the new data challenge. In most research communities, there is a growing awareness that the rising tide of data will require new approaches to data management and that data preservation, access and sharing should be supported in a much better way. Data, and a fortiori Big Data, is a cross-cutting issue touching all research infrastructures. EUDAT2020s vision is to enable European researchers and practitioners from any research discipline to preserve, find, access, and process data in a trusted environment, as part of a Collaborative Data Infrastructure (CDI) conceived as a network of collaborating, cooperating centres, combining the richness of numerous community-specific data repositories with the permanence and persistence of some of Europes largest scientific data centres. EUDAT2020 builds on the foundations laid by the first EUDAT project, strengthening the links between the CDI and expanding its functionalities and remit. Covering both access and deposit, from informal data sharing to long-term archiving, and addressing identification, discoverability and computability of both long-tail and big data, EUDAT2020s services will address the full lifecycle of research data. One of the main ambitions of EUDAT2020 is to bridge the gap between research infrastructures and e-Infrastructures through an active engagement strategy, using the communities that are in the consortium as EUDAT beacons and integrating others through innovative partnerships. During its three-year funded life, EUDAT2020 will evolve the CDI into a healthy and vibrant data-infrastructure for Europe, and position EUDAT as a sustainable infrastructure within which the future, changing requirements of a wide range of research communities are addressed.
Agency: Cordis | Branch: H2020 | Program: CSA | Phase: INNOSUP-7-2015 | Award Amount: 1.69M | Year: 2016
Current research and practice on Open Innovation (OI) has not given emphasis on the ability of SMEs to develop and implement OI strategies - the lessons learned from large firms are not readily transferable to their context. INSPIRE aims to thoroughly investigate how OI is managed and organised in SMEs in order to leverage and expand the existing scattered initiatives and professionalize their services. The project seeks to understand in depth good practices of OI in SMEs across Europe, including the barriers they experience, the critical success factors and the open innovation pathways they follow. Good practices will be identified in all varieties of SMEs in terms of economic context, innovation trajectory (e.g. both high-tech and low-tech SMEs) and stage of lifetime. The understanding of good practices will allow the design, development and validation of an Integrated Toolbox for OI in SMEs to enable the professional management of OI by SMEs in various kinds of open innovation initiatives (e.g. facilitated by large corporations, private-public partnerships). The Toolbox will include good practices, indicators and management modules to support the internal innovation activities of an SME and their interaction with OI partners. The Toolbox will be modular and it will include three prototypical scenarios of usage that can be flexibly adjusted to individual needs of SMEs. The Integrated Toolbox will be developed as a web platform and it will be validated through a series of pilots in real life OI projects carried out by SMEs across Europe. Moreover, the project will develop a deployment plan for the Open Innovation System to initiate an EU-wide strategic engagement of innovation stakeholders and spread the practices of OI. The consortium includes a variety of competencies to access the whole Open Innovation chain across a range of geographical, economic and SMEs contexts and includes academics, practitioners and intermediaries working with SMEs on Open Innovation.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: EINFRA-1-2014 | Award Amount: 8.65M | Year: 2015
Over the last decade, the European Grid Infrastructure (EGI) has built a distributed computing and data infrastructure to support over 21,000 researchers from many disciplines with unprecedented data analysis capabilities. EGI builds on the European and national investments and relies on the expertise of EGI.eu - a not-for-profit foundation that provides coordination to the EGI Community, including user groups, EGI.eu participants in the EGI Council, and the other collaborating partners. The mission of EGI-Engage is to accelerate the implementation of the Open Science Commons vision, where researchers from all disciplines have easy and open access to the innovative digital services, data, knowledge and expertise they need for their work. The Open Science Commons is grounded on three pillars: the e-Infrastructure Commons, an ecosystem of key services; the Open Data Commons, where any researcher can access, use and reuse data; and the Knowledge Commons, in which communities have shared ownership of knowledge and participate in the co-development of software and are technically supported to exploit state-of-the-art digital services. EGI-Engage will expand the capabilities offered to scientists (e.g. improved cloud or data services) and the spectrum of its user base by engaging with large Research Infrastructures (RIs), the long-tail of science and industry/SMEs. The main engagement instrument will be a network of eight Competence Centres, where National Grid Initiatives (NGIs), user communities, technology and service providers will join forces to collect requirements, integrate community-specific applications into state-of-the-art services, foster interoperability across e-Infrastructures, and evolve services through a user-centric development model. The project will also coordinate the NGI efforts to support the long-tail of science by developing ad hoc access policies and by providing services and resources that will lower barriers and learning curves.