This book constitutes the refeered proceedings of the 18th Interational Conference on Information Processing in Medical Imaging, IPMI 2003, held in UK, in July 2003. The 57 revised full papers presented were carefully reviewed and selected from submissions. The papers are organized in topical sections shape modeling, shape analysis, segmentation, color, performance characterization, registration and modeling similarity, registration and modeling deformation, cardiac motion, fMRI analysis, and diffusion imaging and tractography.

The resurgent function theory introduced by J. Ecalle is one of the most interesting theories in mathematical analysis. In essence, the theory provides a resummation method for divergent power series (e.g., asymptotic series), and allows this method to be applied to mathematical problems. This new book introduces the methods and ideas inherent in resurgent analysis. The discussions are clear and precise, and the authors assume no previous knowledge of the subject. With this new book, mathematicians and other scientists can acquaint themselves with an interesting and powerful branch of asymptotic theory - the resurgent functions theory - and will learn techniques for applying it to solve problems in mathematics and mathematical sciences.

"Co-published with Oxford University Press Long considered the most comprehensive account of electromagnetic theory and analytical methods for solving waveguide and cavity problems, this new Second Edition has been completely revised and thoroughly updated -- approximately 40% new material!Packed with examples and applications FIELD THEORY OF GUIDED WAVES provides solutions to a large number of practical structures of current interest. The book includes an exceptionally complete discussion of scalar and Dyadic Green functions. Both a valuable review and source of basic information on applied mathematical topics and a hands-on source for solution methods and techniques, this book belongs on the desk of all engineers working in microwave and antenna systems!" Sponsored by: IEEE Antennas and Propagation Society

Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods.

An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.

It has been our experience that instruction in physical examination of the heart in medical schools has been deteriorating since the advent of such modern diagnostic tools as two-dimensional echocardiography and nuclear imaging. At best, the teaching has been sketchy and too superficial for the student to appreciate the pathophysiological correlates. Both invasive and the noninvasive modern technologies have contributed substantially to our knowledge and understanding of cardiac physical signs and their pathophysiological correlates. However, both students and teachers alike appear to be mesmerized by technological advances to the neglect of the age-old art, as well as the substantial body of science, of cardiac physical examination. It is also sad to see reputed journals give low priority to articles related to the clinical examination. Our experience is substantiated by a nationwide survey of internal medicine and cardiology training programs, which concluded that the teaching and practice of cardiac auscultation received low emphasis, and perhaps other bedside diagnostic skills as well (1). The state of the problem is well reflected in the concerns expressed in previous publications (2–4), including the 2001 editorial in the American Journal of Medicine (Vol. 110, pp. 233–235), entitled “Cardiac auscultation and teaching rounds: how can cardiac auscultation be resuscitated?”, as well as in the rebuttal, “Selections from current literature. Horton hears a Who but no murmurs—does it matter?” (5).

'A dense narrative and a wealth of examples' Literary Review 'Reid-Henry narrates this story with elegance and gusto' Washington Post '[Reid-Henry] conveys an important message: Individual political action must become accountable to society's interests' Kirkus 'Reid-Henry's scholarship is impressive, gathering a wide range of historical anecdotes and referencing a diverse set of thinkers' Publishers Weekly The first panoramic history of the Western world from the 1970s to the present day: Empire of Democracy is the story for those asking how we got to where we are. In this epic narrative of the events that have shaped our own times, Simon Reid-Henry shows how liberal democracy, and Western history with it, was profoundly re-imagined when the postwar Golden Age ended. As the institutions of liberal rule were reinvented, a new generation of politicians emerged: Thatcher, Reagan, Mitterrand, Kohl. The late twentieth-century heyday they oversaw carried the Western democracies triumphantly to victory in the C old War and into the economic boom of the 1990s. But equally it led them into the fiasco of Iraq, to the high drama of the financial crisis in 2007/8, and ultimately to the anti-liberal surge of our own times. The present crisis of liberalism enjoins us to revisit these as yet unscripted decades. The era we have all been living through is closing out, democracy is turning on its axis once again. As this panoramic history poignantly reminds us, the choices we make going forward require us first to come to terms with where we have been.

Setting out to bridge the gap between the theory of mathematical programming and the varied, real-world practices of industrial engineers, this work introduces developments in linear, integer, multiobjective, stochastic, network and dynamic programing. It details many relevant industrial-engineering applications.;College or university bookstores may order five or more copies at a special student price, available upon request from Marcel Dekker, Inc.