The implementation of a disambiguation marching cubes algorithm

This thesis first systematically analyzes a classic surface generation algorithm, the marching cubes algorithm, in computer volume visualization, with emphasis on the mathematical background and the ambiguity problem of the algorithm. A simple and elegant disambiguation algorithm is then described and implemented. Finally, generated data from mathematical functions and real world data from scientific experiment are used to test the original marching cubes algorithm and the disambiguation algorithm

The EM Algorithm and the Rise of Computational Biology

In the past decade computational biology has grown from a cottage industry with a handful of researchers to an attractive interdisciplinary field, catching the attention and imagination of many quantitatively-minded scientists. Of interest to us is the key role played by the EM algorithm during this transformation. We survey the use of the EM algorithm in a few important computational biology problems surrounding the "central dogma"; of molecular biology: from DNA to RNA and then to proteins. Topics of this article include sequence motif discovery, protein sequence alignment, population genetics, evolutionary models and mRNA expression microarray data analysis.Comment: Published in at http://dx.doi.org/10.1214/09-STS312 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

Self-assessment of Consecutive Interpreting by MTI Interpreting Students

Assessing the quality of interpreting practice and conducting targeted training is the key to improving interpreting ability of MTI student interpreters. By reviewing literature on interpreting assessment and self-assessment, the research has decided the parameters for self-assessment of consecutive interpreting practice, developed a self-assessment form and conducted self-assessment of MTI interpreting students for fifteen weeks. Research results show that students have developed awareness of autonomous quality monitoring and improved their overall interpreting ability