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Whatever the reason for not eating dairy, Living Dairy-Free For Dummies provides readers with the most up-to-date information on a dairy-free diet and lifestyle and will empower them to thrive without dairy while still getting the calcium, vitamin D and nutritional benefits commonly associated with dairy products. Living Dairy-Free For Dummies: Is a lifestyle manual, going beyond just recipes to present a full nutritional evaluation of what dairy-free life is like Contains more than 50 dairy-free recipes, along with how to set up a dairy-free kitchen and tips for eating out and remaining dairy-free Presents alternatives to dairy so readers can continue getting the nutritional value and tastes of dairy, without the side effects

Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applications Complex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed of amplitude and phase, which is one of the core concepts in physical systems to deal with electromagnetic, light, sonic/ultrasonic waves as well as quantum waves, namely, electron and superconducting waves. This fact is a critical advantage in practical applications in diverse fields of engineering, where signals are routinely analyzed and processed in time/space, frequency, and phase domains. Complex-Valued Neural Networks: Advances and Applications covers cutting-edge topics and applications surrounding this timely subject. Demonstrating advanced theories with a wide range of applications, including communication systems, image processing systems, and brain-computer interfaces, this text offers comprehensive coverage of: Conventional complex-valued neural networks Quaternionic neural networks Clifford-algebraic neural networks Presented by international experts in the field, Complex-Valued Neural Networks: Advances and Applications is ideal for advanced-level computational intelligence theorists, electromagnetic theorists, and mathematicians interested in computational intelligence, artificial intelligence, machine learning theories, and algorithms.

Written by some of the most talented young chemists in Europe, this text covers most of the groundbreaking issues in materials science. It provides an account of the latest research results in European materials chemistry based on a selection of leading young scientists participating in the 2008 European Young Chemists Award competition. The contributions range from nanotechnology to catalysis. In addition, the authors provide a current overview of their field of research and a preview of future directions. For materials scientists, as well as organic and analytical chemists.

Written by some of the most talented young chemists in Europe, this text covers most of the groundbreaking issues in chemistry. It provides an account of the latest research results in European chemistry based on a selection of leading young scientists participating in the 2008 European Young Chemists Award competition. The contributions range from self-organization to new catalytic synthetic methodologies to organocatalysis. In addition, the authors provide a current overview of their field of research and a preview of future directions. For organic, catalytic, natural products and biochemists.

The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government collections fuel requirements for stock media access, media preservation, broadcast news retrieval, identity management, and video surveillance. While significant advances have been made in language processing for information extraction from unstructured multilingual text and extraction of objects from imagery and video, these advances have been explored in largely independent research communities who have addressed extracting information from single media (e.g., text, imagery, audio). And yet users need to search for concepts across individual media, author multimedia artifacts, and perform multimedia analysis in many domains. This collection is intended to serve several purposes, including reporting the current state of the art, stimulating novel research, and encouraging cross-fertilization of distinct research disciplines. The collection and integration of a common base of intellectual material will provide an invaluable service from which to teach a future generation of cross disciplinary media scientists and engineers.