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OverviewHormones as Tokens of Selection addresses deep questions in biology: How are biological systems controlled? How can one formulate general theories of homeostasis and control and instantiate such theories in mathematical models? How can one use evolutionary arguments to guide our answers to these questions, recognising that the control mechanisms themselves are a product of evolution? Biological systems are exceptionally varied and extremely difficult to understand, because they are complex and experimentation remains limited relative to the challenges at hand. Moreover, biological phenomena occur at a wide range of temporal and spatial scales. Such a deeply convoluted subject calls for a unifying and coherent theoretical foundation — one which recognises and departs from the primary importance of mathematical modelling and key physicochemical principles to theory formation in the life sciences. This Focus monograph proposes and outlines such a foundation, departing from the deceptively simple proposition that hormones are tokens of evolutionary pressures. Features Provides a coherent and unified approach to a multifaceted problem Pays close attention to both the biological and mathematical modelling aspects of the subject matter, exploring the philosophical background where appropriate Written in a concise and innovative style Full Product DetailsAuthor: Hugo van den BergPublisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.299kg ISBN: 9780367134419ISBN 10: 0367134411 Pages: 148 Publication Date: 23 April 2019 Audience: College/higher education , General/trade , Tertiary & Higher Education , General Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationHugo van den Berg is a mathematical biologist whose research includes work on the neuroendocrine control of hydromineral physiology in molluscs, nutrient and light limitation in microbial ecosystems, zinc homeostasis, genic selectionism, the foundations of biomathematics, the self/nonself problem in adaptive immunology, energy metabolism, diabetes, oncoprotein kinetics, bacterial cell division, transcriptomics-based prediction of electrodynamics in excitable tissues, and in silico reconstruction of smooth muscle tissue architecture. Tab Content 6Author Website:Countries AvailableAll regions |
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