Discovering the secrets of animal movement and what they can teach us Insects walk on water, snakes slither, and fish swim. Animals move with astounding grace, speed, and versatility: how do they do it, and what can we learn from them? How to Walk on Water and Climb up Walls takes readers on a wondrous journey into the world of animal motion. From basement labs at MIT to the rain forests of Panama, David Hu shows how animals have adapted and evolved to traverse their environments, taking advantage of physical laws with results that are startling and ingenious. In turn, the latest discoveries about animal mechanics are inspiring scientists to invent robots and devices that move with similar elegance and efficiency. Integrating biology, engineering, physics, and robotics, How to Walk on Water and Climb up Walls demystifies the remarkable secrets behind animal locomotion.

What doesn't have muscles but can still move? What helps our body get rid of dangerous toxins? The P Word: A Manual for Mammals is the definitive pre-puberty guide to the penis for young people. This easy-to-understand manual gives readers an overview of how and why penises work--and how to keep them healthy for years to come. More than just a boring anatomy lesson, it weaves scientific insights and surprising mammal facts together with accurate and engaging illustrations. Written by award-winning bioengineer David Hu and illustrated by Ilias Arahovitis, this fascinating and groundbreaking work draws on both human and animal biology to introduce kids to an amazing organ. Refreshingly gender-neutral and inclusive in its language, this book will educate and entertain readers young and old.

This book is written for software engineers, software project leaders, and software managers who would like to introduce a new advanced software technology, expert systems, into their product. Expert system technology brings into programming a new dimension in which "rule of thumb" or heuristic expert knowledge is encoded in the program. In contrast to conventional procedural languages {e. g. , Fortran or C}, expert systems employ high-level programming languages {Le. , expert system shells} that enable us to capture the judgmental knowledge of experts such as geologists, doctors, lawyers, bankers, or insurance underwriters. Past expert systems have been more successfully applied in the problem areas of analysis and synthesis where the boundary of lo;nowledge is well defined and where experts are available and can be identified. Early successful applications include diagnosis systems such as MYCIN, geological systems such as PROSPECTOR, or design/configu ration systems such as XC ON. These early expert systems were mainly applicable to scientific and engineering problems, which are not theoreti cally well understood in terms of decisionmaking processes by their experts and which therefore require judgmental assessment. The more recent expert systems are being applied to sophisticated synthesis problems that involve a large number of choices, such as how the elements are to be compared. These problems normally entailed a large search space and slower speed for the expert systems designed. Examples of these systems include factory scheduling applications such as ISIS, or legal reasoning applications such as TAXMAN.