Computer science in the biochemistry laboratory.
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The authors describe the development of an educational database project designed to promote the accessibility of nursing administration theses data for graduate students and faculty in a university nursing administration program. The roles of a nursing faculty member, a computer laboratory administrator, and a programmer are detailed as they work together from the concept phase of the project through its evaluation. The results of their combined efforts provided a reliable and efficient database, resulted in a closer interdisciplinary relationship, and allowed valuable nursing research information to be shared more widely within the university.
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This paper describes how the biological theory of gene duplication described in Susumu Ohno's provocative book, Evolution by Means of Gene Duplication, was brought to bear on a vexatious problem from the domain of automated machine learning, namely the problem of architecture discovery. Six new architecture-altering operations for genetic programming were motivated by the way that new biological structures, functions, and behaviors arise in nature using gene duplication. Genetic programming with the new architecture-altering operations was then applied to the transmembrane protein segment identification problem. The out-of-sample error rate for the best genetically-evolved program achieved was slightly better than that of previously-reported human-written algorithms for this problem.
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