رکورد قبلیرکورد بعدی

" A cybernetic view of biological growth : "


Document Type : BL
Record Number : 680487
Doc. No : b502676
Main Entry : Stebbing, Tony
Title & Author : A cybernetic view of biological growth : : the Maia hypothesis /\ Tony Stebbing.
Publication Statement : Cambridge :: Cambridge University Press,, 2011.
Page. NO : 1 online resource (xvi, 442 pages) :: digital, PDF file(s)
ISBN : 9780511933813 (ebook)
: 9780521199636 (hardback)
Notes : Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Contents : Growth unlimited: blooms, swarms and plagues -- Self-regulating systems: from machines to humans -- The wealth of homeodynamic responses -- A cybernetic approach to growth analysis -- A control mechanism for Maia -- The three levels of adaptation -- Population growth and its control -- Hierarchy: a controlled harmony -- History of hormesis and links to homeopathy -- Maian mechanisms for hormesis and catch-up growth -- Cellular growth control and cancer -- Human overpopulation -- Our finite earth -- The Maia hypothesis and anagenesis.
Abstract : Maia is the story of an idea, and its development into a working hypothesis, that provides a cybernetic interpretation of how growth is controlled. Growth at the lowest level is controlled by regulating the rate of growth. Access to the output of control mechanisms is provided by perturbing the growing organism, and then filtering out the consequences to growth rate. The output of the growth control mechanism is then accessible for interpretation and modelling. Perturbation experiments have been used to provide interpretations of hormesis, the neutralization of inhibitory load and acquired tolerance to toxic inhibition, and catch-up growth. The account begins with an introduction to cybernetics covering the regulation of growth and population increase in animals and man and describes this new approach to access the control of growth processes. This book is suitable for postgraduate students of biological cybernetics and researchers of biological growth, endocrinology, population ecology and toxicology.
Subject : Biological control systems.
Subject : Cybernetics.
Subject : Growth-- Regulation.
LC Classification : ‭QP84‬‭.S727 2011eb‬
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