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The Chemistry of Heterocyclic Compounds, since its inception, has been recognized as a cornerstone of heterocyclic chemistry. Each volume attempts to discuss all aspects – properties, synthesis, reactions, physiological and industrial significance – of a specific ring system. To keep the series up-to-date, supplementary volumes covering the recent literature on each individual ring system have been published. Many ring systems (such as pyridines and oxazoles) are treated in distinct books, each consisting of separate volumes or parts dealing with different individual topics. With all authors are recognized authorities, the Chemistry of Heterocyclic Chemistry is considered worldwide as the indispensable resource for organic, bioorganic, and medicinal chemists.
Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.
This book discusses the main stem cell niches under distinct pathophysiological conditions. The role of tissue microenvironments in stem cell regulation, as well as modern methodologies and new techniques for the identification and characterization of stem cell niches, are discussed by leading experts in the field. Chapters describe the major components of various stem cell microenvironments, such as cellular components, soluble factors, cell-cell interactions, extra-cellular matrix proteins, and physical forces. Stem Cell Microenvironments and Beyond is part of the highly successful Advances in Experimental Medicine and Biology series. It is essential reading for graduate students and researchers in the field of stem cells or cell biology as well as clinicians.
In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to genetic algorithms that adapt and learn the knowledge base of a fuzzy-rule-based system. It introduces the general concepts, foundations and design principles of genetic fuzzy systems and covers the topic of genetic tuning of fuzzy systems. It also introduces the three fundamental approaches to genetic learning processes in fuzzy systems: the Michigan, Pittsb...
This book covers the huge advances made in clinical diagnosisenabling earlier detection, while addressing the recent progressmade in treatment of hepatocellular carcinoma (HCC) to enablesuccessful therapy. It draws on the expertise of an internationally recognizedauthor famed for his understanding, knowledge and efforts indefining terms and diagnosis in this area. The text reviews the full range of pathological information ofHCC based on the study of surgical cases and biopsy materials,along with images, to help compare findings that may be encounteredby pathologists. It also makes special reference to developments inearly stage HCC detection and premalignant lesions which canincrease effective treatment.
"Understanding reproduction in marine fishes is critical to their conservation. It is also a fascinating topic in its own right. This book is now the best single reference on the subject, with original insights, analysis, and information. Anyone interested in the fascinating diversity of ways fish reproduce will want to have a copy of this book handy."--Peter Moyle, co-author of Protecting Life on Earth "Cole has assembled the internationally recognized authorities and they successfully cover topics of critical interest to behaviorists, ecologists, anatomists, physiologists, and conservation biologists. These experts demonstrate the amazing diversity and complexity of sexual and reproductive...
Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is the capability to express the real system behavior in a comprehensible way, and accuracy, which is the capability to faithfully represent the real system. In this framework, one of the most important areas is linguistic fuzzy modeling, where the legibility of the obtained model is the main objective. This task is usually developed by means of linguistic (Mamdani) fuzzy rule-based systems. An active research area is oriented towards the use of new techniques and structures to extend the classical, rigid linguistic fuzzy modeling with the main aim of increasing its precision degree. Traditionally, this accuracy improvement has been carried out without considering the corresponding interpretability loss. Currently, new trends have been proposed trying to preserve the linguistic fuzzy model description power during the optimization process. Written by leading experts in the field, this volume collects some representative researcher that pursue this approach.