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Describes the history and translational implications of an emerging public health problem, the abuse of synthetic cannabinoids, especially how legitimate research findings “hijacked” for illegitimate purposes can present health threats.
Finds that optimal mattress firmness varies among individuals and is reflected, at least to a degree, by overnight motion.
Reveals shortcomings of the traditional database normalization methods with respect to the prevention of common data anomalies, and offers practitioners useful techniques for improving data quality.
Discusses three established software engineering practices—the iterative software development process, object-oriented methodology, and unified modeling language—and the applicability of these practices to computational model development.
Finds that mattress firmness has statistically significant effects on both sleep and daytime functioning and that individuals varied widely in the mattress that optimized their sleep.
Reviews methods to synthesize data on group quarters residents to match US Census Bureau data.