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The New Science of Ageing
This unique book represents the first multi-disciplinary examination of ageing, covering everything from basic cell biology, to social participation in later life, to the representations of old age in the arts and literature. A comprehensive introductory text about the latest scientific evidence on ageing, the book draws on the pioneering New Dynamics of Ageing Programme, the UK’s largest research programme in ageing. This programme brought together leading academics from across the arts and humanities, social and biological sciences and fields of engineering and medical research, to study how ageing is changing and the ways in which this process can be made more beneficial to both individuals and society. Comprising individual, local, national and global perspectives, this book will appeal to everyone with an interest in one of the greatest challenges facing the world – our own ageing.
Tackling the Inverse Problem for Non-Autonomous Systems
This thesis presents a new method for following evolving interactions between coupled oscillatory systems of the kind that abound in nature. Examples range from the subcellular level, to ecosystems, through climate dynamics, to the movements of planets and stars. Such systems mutually interact, adjusting their internal clocks, and may correspondingly move between synchronized and non-synchronized states. The thesis describes a way of using Bayesian inference to exploit the presence of random fluctuations, thus analyzing these processes in unprecedented detail. It first develops the basic theory of interacting oscillators whose frequencies are non-constant, and then applies it to the human heart and lungs as an example. Their coupling function can be used to follow with great precision the transitions into and out of synchronization. The method described has the potential to illuminate the ageing process as well as to improve diagnostics in cardiology, anesthesiology and neuroscience, and yields insights into a wide diversity of natural processes.
Kish Cypher, The: The Story Of Kljn For Unconditional Security
Designed to offer a thorough account of the KLJN key exchange system (also known as the Kish Cypher, the Kish Key Distribution, etc.) and its unconditional security, this book explains the scheme's foundation in classical statistical physics and its superiority to its quantum-based competitors for particular applications, from the perspective of Dr. Kish himself.This book clarifies the misinformation behind heated debates on the 'Kish Cypher' (the popular but incorrect name for the Kirchhoff-Law-Johnson-Noise, KLJN, scheme), and debunks common misconceptions by using simple and clear-cut treatments to explain the protocol's working principle — an understanding that has eluded (even) several experts of computer science, quantum security, and electrical engineering. The work also explains how the scheme can provide the same (or higher) level of security as quantum communicators at a thousandth of the cost.The contents of this text address both layman and expert levels of understanding.
Unsolved Problems of Noise and Fluctuations
All papers in this proceedings volume were peer reviewed. The purview of this third conference was shifted toward biology and medicine. Among the topics covered were: the constructive role of noise in the central nervous system, neuronal networks, and sensory transduction (hearing in humans, photo- and electroreception in marine animals), encoding of information into nerve pulse trains, single molecules and noise (including single molecule detection and characterization by nanopores - molecular "Coulter counting"), concepts of noise in neurophysiology (randomness and order in brain and heart electrical activities under normal conditions and in pathology), the role of noise in genetic regulation and gene expression, biosensors, etc.
Paradoxes
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Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Baltimore, Maryland, 4-9 August 2001
Noise in Complex Systems and Stochastic Dynamics II
Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.
Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Annotation Papers from an August 2002 workshop reflect recent research on statistical inference, signal separation, physics applications, and inductive logic theory. Some specific topics include Chernoff's bound forms, a maximum entropy approach to a mean field theory for fluids, learning in the presence of input noise using the stochastic EM algorithm, and a Bayesian classification model for real-time intrusion detection. Other topics are wavelet domain image separation, logical and geometric inquiry, information geometry and prior selection, and hyperplane priors. There is no indexing other than an author list. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com)
