25 research outputs found

    The OMERACT ultrasound group: Status of current activities and research directions

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    Ultrasound (US) is a relatively new imaging modality in rheumatology that offers great potential as a diagnostic and management tool. In 2004, an OMERACT Ultrasound Special Interest Group was formed to address the metric qualities of US as a potential outcome measure. A preliminary systematic review highlighted the deficiencies in the literature, particularly with regard to the reliability of interpreting and acquiring images; as a consequence, a number of exercises were proposed to address these issues. This report describes a series of iterative studies that have resulted in improved intra- and inter-reader reliability for detecting and scoring synovitis from both static and real-time images of the hand joints of patients with rheumatoid arthritis. The reliability of acquiring images was also enhanced using standardized positions. Future studies will assess the value of US in clinical trials

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    We derive new bounds for the generalization error of feature space machines, such as support vector machines and related regularization networks by obtaining new bounds on their covering numbers. The proofs are based on a viewpoint that is apparently novel in the field of statistical learning theory. The hypothesis class is described in terms of a linear operator mapping from a possibly infinite dimensional unit ball in feature space into a finite dimensional space. The covering numbers of the class are then determined via the entropy numbers of the operator. These numbers, which characterize the degree of compactness of the operator, can be bounded in terms of the eigenvalues of an integral operator induced by the kernel function used by the machine. As a consequence we are able to theoretically explain the effect of the choice of kernel functions on the generalization performance of support vector machines

    Introduction to the BASIN Special Issue: State of art, past present a view to the future

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    The starting point for EURO-BASIN were discussions at the EurOcean conference in Hamburg (Germany) in 2000 focusing on perspectives for European and North American research cooperation in the North Atlantic. This conference resulted in a memorandum of understanding signed between the USA National Science Foundation (NSF) and the European Commission (EC), agreeing to support collaborative research in the North Atlantic. However, it was not until 2005 when funds from the USA NSF and the European network of excellence EURO-OCEANS allowed for European, USA and Canadian scientists to meet in Reykjavik, Iceland (Wiebe et al., 2009), to start the process leading to the development of an International North Atlantic Basin scale Science Plan. Subsequently, support for the BASIN community to hold three meetings in 2007–2008 was obtained from the US NSF and a EU 6th Framework Specific Support Action (SSA) BASIN. These meetings, which built upon the issues identified in Reykjavik, were held in Hamburg (Germany), Chapel Hill (USA), and Amsterdam (the Netherlands). The outcome of these meetings was the International BASIN Science Plan, published as a GLOBEC report (Wiebe et al., 2009). Alas, while the science needs were collectively agreed upon, the difficulty of funding coordinating research (both in time and in concept) from both sides of the Atlantic was not easily resolved. Moving ahead, the European Commission issued a call for proposals, which targeted some of the issues outlined in the International BASIN Science Plan. Specifically, the call was focused scientifically “on the need to improve the understanding of the variability, potential impacts, and feedbacks of global change and anthropogenic forcing on the structure, function and dynamics of the ecosystems of the North Atlantic Ocean and associated shelf seas and on their capacity to provide services”. The successful project needed to provide new data, analyses and the models necessary to:(1) Understand and simulate the population structure and dynamics of broadly distributed, and biogeochemically and trophically important plankton and fish species, to resolve the impacts of climate variability on marine ecosystems and the feedbacks to the earth system.(2) Develop understanding and strategies that would contribute to improving and advancing ocean management (ecosystem approach).In response to this call, the successful EURO-BASIN consortium was formed (European Basin Scale Analysis and Synthesis), using as its starting point the BASIN International Science plan. While a similar funding mechanism was not forthcoming from the North American side, North American scientists were able to take advantage of opportunities to participate in EURO-BASIN cruise programs, meetings and to publish joint articles (e.g., this Special Issue)
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