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Many studies investigated postural control in different pathological or aging populations in order to optimize programs for prevention and/or rehabilitation of postural disorders.
Policy makers and health planers should optimize programs of community based nutritional promotion programs giving due attention to rural segment of the community.
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The recommendation to separate a large group into smaller groups to optimize program delivery and outcomes has been outlined in other community-based youth programming literature (Bean, Forneris, & Halsall, 2014).
More studies on retention of impacts from increasingly popular behavioral energy efficiency programs are needed to allow programs to be credited with all their attributable effects, accurately assess cost-effectiveness, and optimize program design and delivery.
Resource accounting allows to study and optimize program performance and to charge users for the resource consumption of their deployed components, while resource control can limit the resource consumption of components in order to prevent denial-of-service attacks.
Thus, subchronic GR blockade during a period predominated by spine elimination might optimize programmed spine elimination processes and thereby confer long-term behavioral benefits, as was indeed observed here.
Optimizing programs by applying source-to-source transformations is a prevalent practice among programmers.
This study was designed to 1) describe the demographics and 2) determine the efficacy of a head and neck cancer screening program to optimize future programs.
Further, the presented preservation criteria are naturally applied on source-to-source program transformations or on optimizing program compilation.
First approach optimizes architecture of the bit-byte CPU, second optimizes program execution, next one data exchange between bit and byte processors and the last one optimizes input/output servicing.
Based on the observed application energy profile, an automated recommendation system that utilizes artificial selection genetic programming is used to generate the energy optimizing program mutants while preserving functional accuracy.
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