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In online labor platforms such as Amazon Mechanical Turk, a good strategy to obtain quality answers is to take aggregate answers submitted by multiple workers, exploiting the wisdom of the crowd. However, human computation is susceptible to systematic biases which cannot be corrected by using multiple workers. We investigate a game-theoretic bonus scheme,(More)
BACKGROUND Childhood tuberculosis causes significant morbidity and mortality in Southeast Asia, yet little is known about the epidemiology and clinical characteristics of this disease in Viet Nam. OBJECTIVES To determine the demographics, clinical presentations, radiographic and microbiologic findings, treatment regimens, and outcomes of children admitted(More)
Aggregation of streamed data is key to the expansion of the Internet of Things. This paper addresses the problem of designing a topology for reliably aggregating data flows from many devices arriving at a datacenter. Reliability here means ensuring operation without data loss. We seek a frugal solution that prevents wasteful resource consumption(More)
BACKGROUND Defining individual educational, or learning, targets is part of the initial educational assessment in rehabilitation programs, but no data are available on how to achieve these goals. OBJECTIVE We aimed to evaluate whether educational objectives established with the patient as part of a functional spine restoration program integrating(More)
There are numerous methods to achieve Web service composition, ranging from semi-automatic to on-the-fly automated processes. This paper proposes an approach to semantic Web service composition based on an AI-planning-like algorithm, which proceeds in a depth-first state-space search manner. Features include name matching, semantic similarity computation,(More)
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