This introductory guide to ABA demystifies the often complex terminology, the underlying principles, and commonly-used procedures of ABA using accessible, everyday language. This revised and updated edition reflects recent developments and introduces new key terms. Albert J. Kearney explains the kinds of learning and reinforcement processes that form the basis of ABA programs. Having covered these essential principles, he describes how the science of behavior analysis can be effectively applied to real life behavior problems. He looks at how behavior is assessed and various intervention techniques that are often employed with children who have autism and other special needs. Having laid these essential foundations, Kearney touches on more advanced topics: the applications of ABA in behavioral education, such as precision teaching and programmed instruction.
This introductory guide to ABA demystifies the often complex terminology, the underlying principles, and commonly-used procedures of ABA using accessible, everyday language. This revised and updated edition reflects recent developments and introduces new key terms. Albert J. Kearney explains the kinds of learning and reinforcement processes that form the basis of ABA programs. Having covered these essential principles, he describes how the science of behavior analysis can be effectively applied to real life behavior problems. He looks at how behavior is assessed and various intervention techniques that are often employed with children who have autism and other special needs. Having laid these essential foundations, Kearney touches on more advanced topics: the applications of ABA in behavioral education, such as precision teaching and programmed instruction.
The initial impetus to create a work combining aspects of cel lular immunology with their clinical applications grew from the ed itors' discussions of the area's needs with many of the leaders in the field over a period of time. From the nucleus of ideas that emerged, we have here attempted to create a unified and inte grated coverage of the rapidly growing field of cellular immunology research and to trace out-from what seems at times a genuine plethora of important new findings-the many and often impor tant clinical implications. Because of this approach, the chapters of Clinical Cellular Im munology attempt to be more than critical reviews of research and clinical data, going beyond analysis to synthesize working hypotheses about the functional meaning of cellular immunological phenomena and their likely clinical significance. To accomplish this undertaking, the text begins first with a consid eration of the molecular aspects of antigen recognition (Luderer and Harvey) and of the ensuing regulatory program initiation (Fathman). Then, the functional subsets oflymphocytes as they in teract to produce and control the developing immune response are explored in detail (Sigel et a1.), followed by a unique analytical dis section of the action of immunosuppressive agents on the sundry inductive and regulatory immunologic pathways (Sigel et al.). A majority of the data and conclusions drawn by the authors in the previous chapters arise from work on murine systems, al though wherever appropriate, human data has been introduced.
A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.
Professor Albert S. Perry passed away suddenly on February 18, 1992, leaving behind his grieving family, friends and colleagues. It was his aspiration to produce a comprehensive work on insecticides to summarize his lifelong dedication to the field of entomology and public health. On the day before his operation, he expressed his desire with the following words: . "1 am coming out of this surgery and will recuperate from it as soon as possible for the sake of my boy (then aged three) and the book". He also told me that he would like to add a chapter on IPM (Integrated Pest Management) and suggested that we write it together. The sad reality is that none of this took place the way he had planned and these became his last words. On my own, I found it difficult to proceed with the writing of the IPM chapter, since several chapters are required to cover· this subject and, in fact, several books. are already devoted to IPM. There was even an IPM article written in a journal (Awake 1983) for a general audience to which he commented that he would like to use it someday because it was well written for laymen, thus providing the readers a wide selection of journals and books to choose from.
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