This program manual incorporates research-based information currently available on lean meats. The materials were written to accomodate individuals in various age and economic groups and with varying knowledge levels concerning meats. The modules include topics on: livestock industry; meat, nutrition and your health; making sense of meat purchases; preparation of today's lean meat; and meat: a convenience bill of fare. Each module contains an overview of the current topic, possible target audiences for that module, list of supplementary materials, resources and references. Each unit may be taught alone or in a series.

This lively book examines recent trends in animal product consumption and diet; reviews industry efforts, policies, and programs aimed at improving the nutritional attributes of animal products; and offers suggestions for further research. In addition, the volume reviews dietary and health recommendations from major health organizations and notes specific target levels for nutrients.

Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of artificial neural networks in industrial and control engineering applications. The book begins with a review of applications of artificial neural networks in textile industries. Particular applications in textile industries follow. Parts continue with applications in materials science and industry such as material identification, and estimation of material property and state, food industry such as meat, electric and power industry such as batteries and power systems, mechanical engineering such as engines and machines, and control and robotic engineering such as system control and identification, fault diagnosis systems, and robot manipulation. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in industrial and control engineering areas. The target audience includes professors and students in engineering schools, and researchers and engineers in industries.