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Through support from the National Institutes of Health's National Center for Research Resources, the Biomedical Informatics Research Network (BIRN) is pioneering the use of advanced cyberinfrastructure for medical research. By synchronizing developments in advanced wide area networking, distributed computing, distributed database federation, and other(More)
Technologies for Reliable Autonomous Control (TRAC) is a DARPA sponsored effort under the Software Enabled Control (SEC) initiative. The goal of T U C is to develop and demonstrate a fundamentally different approach to controlling uninhabited air vehicles (UAVs) that will enable greater mission capability, higher reliability and safety, and greater(More)
BACKGROUND At present, there is no national population-based retinopathy screening programme for people in Ireland who have diabetes, such as those operating in the UK for over a decade. AIM To evaluate a community-based initiative that utilised existing resources in general practice and community optometry/ophthalmology services to provide screening for(More)
The Biomedical Informatics Research Network (BIRN), an infrastructure initiative sponsored by the U.S. National Institutes of Health (NIH), fosters large dataand compute-intensive distributed collaborations in biomedical science with information technology innovations (Grethe et al. 2005; Ellisman and Peltier 2004).1 Currently, BIRN is composed of a(More)
Over the past decade, the number of Earth orbiters and deep space probes has grown dramatically and is expected to continue in the future as miniaturization technologies drive spacecraft to become more numerous and more complex. This rate of growth has brought a new focus on autonomous and self-preserving systems that depend on fault diagnosis. Although(More)
Green building systems have proliferated recently, but studies are limited of associated health and housing outcomes. The authors measured self-reported resident physical and mental health, allergens, and building conditions at baseline and one-year follow-up in a low-income housing development being renovated in accordance with green healthy housing(More)
Systems with large amounts of computing power and storage are required to simulate very large neural networks capable of tackling complex control problems and real-time emulation of the human sensory, language and reasoning systems. General-purpose parallel computers do not have communications, processor and memory architectures optimized for neural(More)
This paper describes the initial integration of a hybrid reasoning system utilizing a continuous domain feature-based detector, Beacon-based Exceptions Analysis for Multimissions (BEAM), and a discrete domain model-based reasoner, Livingstone. BEAM was integrated into Livingstone to provide independent source of evidence in addition to those of the(More)