Up to twenty percent of the American population suffers from a diagnosable mental disorder, and cross-national studies suggest a high prevalence of such disorders elsewhere. In recent decades, advances in our knowledge of the brain are causing us to question many of the theories underlying traditional approaches to diagnosing and treating...

In Geography and GIS, surfaces can be analysed and visualised through various data structures, and topological data structures describe surfaces in the form of a relationship between certain surface-specific features. Drawn from many disciplines with a strong applied aspect, this is a research-led, interdisciplinary approach to the creation,...

Home to a fifth of the world's population and the largest democracy in the world, India holds a prominent place in current events yet remains misunderstood in many ways by students, professionals and others who seek a single, authoritative source for information on this important region. The Encyclopedia of India meets this need,...

Mathematical and computational biology is playing an increasingly important role in the biological sciences. This science brings forward unique challenges, many of which are, at the moment, beyond the theoretical techniques available. Developmental biology, due to its complexity, has lagged somewhat behind its sister disciplines (such as...

The "Bone and Joint Decade" draws our attention with increased intensity to the problem of the changes related to aging of our musculoskeletal system and the associated socioeconomic implications. In view of the increasing age of the worldwide population the impact seems to be tremendous. The editors of The Aging Spine pick up this...

Evolutionary robotics is a new technique for the automatic creation of autonomous robots. Inspired by the Darwinian principle of selective reproduction of the fittest, it views robots as autonomous artificial organisms that develop their own skills in close interaction with the environment and without human intervention. Drawing heavily on...

This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its...

Mongoose for Application Development is a practical, hands-on guide that takes you from...