This book is about the nature of expression in speech. It is a comprehensive exploration of how such expression is produced and understood, and of how the emotional content of spoken words may be analysed, modelled, tested, and synthesized. Listeners can interpret tone-of-voice, assess emotional pitch, and effortlessly detect the finest modulations of speaker attitude; yet these processes present almost intractable difficulties to the researchers seeking to identify and understand them.
The art of using one's native tongue correctly and forcibly is acquired for the most part through imitation and practice, and is not so much a matter of knowledge as of habit. However, pupils come to school with many of their habits of expression already formed on bad models, our schools must give some attention to the special work of pointing out common errors of speech, and of leading pupils to convert knowledge of these errors into new and correct habits of expression
This "thesaurus of slang" contains more than 9,000 expressions. Entries are illustrated by at least two English sentences each and are organized by topic, which makes finding the right expression quick and easy. Includes an alphabetical index.
Bayesian Analysis of Gene Expression Data (Statistics in Practice) By Bani K. Mallick, David Gold, Veera Baladandayuthapani
* Number Of Pages: 252 * Publication Date: 2009-09-22
Product Description: The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new technologies and new venues for data mining. Bayesian methods play a role central to the future of data and knowledge integration in the field of Bioinformatics.
In the post-genomic age, much biomedical research looks at when, where, and at what level genes are expressed. Measuring Gene Expression: The Basics is an all-in-one introduction to the main methods of measuring gene expression, including RT-PCR, differential display, RNA interference, reporter genes, microarrays, and proteomics, as well as a section on RNA isolation and analysis. There will be an overview of each method: its pros and cons, sample preparation, sources of error, and data interpretation.
