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UNLABELLED Golomb MR, McDonald BC, Warden SJ, Yonkman J, Saykin AJ, Shirley B, Huber M, Rabin B, AbdelBaky M, Nwosu ME, Barkat-Masih M, Burdea GC. In-home virtual reality videogame telerehabilitation in adolescents with hemiplegic cerebral palsy. OBJECTIVE To investigate whether in-home remotely monitored virtual reality videogame-based telerehabilitation(More)
Clouds are rapidly joining high-performance computing (HPC) systems, clusters, and grids as viable platforms for scientific exploration and discovery. As a result, understanding application formulations and usage modes that are meaningful in such a hybrid infrastructure, and how application workflows can effectively utilize it, is critical. Here, three(More)
The convergence of game technology, the Internet, and rehabilitation science forms the <i>second-generation</i> virtual rehabilitation framework. This paper presents the first pilot study designed to look at the feasibility of at-home use of gaming technology adapted to address hand impairments in adolescents with hemiplegia due to perinatal stroke or(More)
Emerging applications, from big science to the Internet of Things, increasingly involve dynamic and data-driven end-to-end workflows with large and often heterogeneous requirements. These applications require platforms that dynamically and flexibly combine resources across systems and data centers--for example, to aggregate capacity or capabilities, or(More)
Rutgers Tele-rehabilitation Institute have collaborated for over a year on a clinical pilot study of in-home hand telerehabiltation. Virtual reality videogames were used to train three adolescents with hemiplegic cerebral palsy. Training duration varied between 6 and 11 months. The investigators summarize medical, technological, legal, safety, social, and(More)
Cloud computing has emerged as a dominant paradigm that has been widely adopted by enterprises. Clouds provide on-­‐demand access to computing utilities, an abstraction of unlimited computing resources, and support for on-­‐demand scale up, scale down and scale out. Furthermore, dynamically federated " Cloud-­‐of-­‐Clouds " infrastructure can support(More)
MapReduce-Hadoop has emerged as an effective framework for large-scale data analytics, providing support for executing jobs and storing data in a parallel and distributed manner. MapReduce has been shown to perform very well on large datacenters running applications where the data can be effectively divided into homogeneous chunks running across homogeneous(More)
Emerging lightweight cloud technologies, such as Docker containers, are gaining wide traction in IT due to the fact that they allow users to deploy applications in any environment faster and more efficiently than using virtual machines. However, current Docker-based container deployment solutions are aimed at managing containers in a single-site, which(More)
Pervasive computational ecosystems that combine data sources and computing/communication resources in self-managed environments, such as the ones powered by Internet of Things (IoT) devices, have the potential to automate and facilitate many aspects of our lives, and impact a variety of applications, from the management of extreme events to the optimization(More)