The concept that hormones influence tumor growth originated in 1889 with the proposal of Albert Schinzinger who suggested that breast cancer is related to the ovaries. Several years later, Sir George Beatson observed that remission of disseminated breast cancer could be achieved in premenopausal patients by performing bilateral oophorectomy. As a result of the contri butions of Hedley Atkins, Charles Huggins and others, additive and ablative hormonal therapies have been widely used for the treatment of advanced breast cancers for several decades. Model systems to study the effects of hormones on growth and regression of breast tumors have been available for many years; however, the complexities of the hormonal environment have rendered in vivo studies difficult in man and experimental animals. Recently, the availability of long-term cultures of breast cancer cells has stimulated many investigators to use these cell lines to unravel the mechanisms of hormone action. Because of the extreme diversity and complexity of advances regarding the endocrinology of the breast and breast cancers, a multi-authored review was deemed necessary. It has been gratifying to receive contributions from many noted scholars. In Volume I of this monograph, the influence of steroid hormones and their antagonists upon normal and neoplastic tissues of the mammary gland are presented. In Volume II, the effects of peptide and other hormones are reviewed.
Beginning in the mid 1980's, VLSI technology had begun to advance in two directions. Pushing the limit of integration, ULSI (Ultra Large Scale Integration) represents the frontier of the semiconductor processing technology in the campaign to conquer the submicron realm. The application of ULSI, however, is at present largely confined in the area of memory designs, and as such, its impact on traditional, microprocessor-based system design is modest. If advancement in this direction is merely a natural extrapolation from the previous integration generations, then the rise of ASIC (Application-Specific Integrated Circuit) is an unequivocal signal that a directional change in the discipline of system design is in effect. In contrast to ULSI, ASIC employs only well proven technology, and hence is usually at least one generation behind the most advanced processing technology. In spite of this apparent disadvantage, ASIC has become the mainstream of VLSI design and the technology base of numerous entrepreneurial opportunities ranging from PC clones to supercomputers. Unlike ULSI whose complexity can be hidden inside a memory chip or a standard component and thus can be accommodated by traditional system design methods, ASIC requires system designers to master a much larger body of knowledge spanning from processing technology and circuit techniques to architecture principles and algorithm characteristics. Integrating knowledge in these various areas has become the precondition for integrating devices and functions into an ASIC chip in a market-oriented environment. But knowledge is of two kinds.
This book constitutes the refereed proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000, held in Shatin, N.T., Hong Kong, China in December 2000. The 81 revised papers presented were carefully reviewed and selected from numerous submissions. The book is divided in topical sections on data mining and automated learning, financial engineering, intelligent agents, Internet applications, multimedia processing, and genetic programming.
Microprocessor Interface uses a step-by-step explanation and clear illustrations to explain how to implement a microprocessor interface and develop a robotic project. Based on real classroom experiences and projects, the text shares knowledge and experience rooted in real-world student implementation. Part I of the text addresses foundational ideas in microprocessor interface, such as working with character-based LCDs and how to linearize a GP2Y0A02 IR sensor with an 8-bitATD conversion. In Part II the focus is on robotics. Students learn how to control a servo motor and choose a chassis. Both Parts I and II feature a variety of projects that allow students to immediately apply what they have learned. Part III is composed of eleven microprocessor labs on topics such as conditional flags and rotate instruction, bit testing and manipulation, and siren generation. Developed and organized to fully support students as they complete projects, Microprocessor Interface can be used in laboratory classes that accompany microprocessor systems I and II courses, or any class devoted to autonomous robots or microprocessor interface studies.
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