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Self-assembly
The book contains six sections. The first section covers general articles; then there is a section concentrating on novel systems and applications. This is followed by one that deals with a range of applications of polymers, surfactants and liquid crystals. This is followed by a section on advances in fundamental understanding. Then there is one on biological systems, and finally there is a section on micelle and vesicle systems, with particular emphasis on dynamic aspects. The contributors, including Physicists, Chemists, Biologists and Chemical Engineers, variously chose to write review-type articles, summaries of their own recent work in the field and its relevance in the general concept of self-assembly, specific short papers related to their particular presentation, or their own thoughts concerning the future development of their particular interest area. All these aspects are addressed in the book. The book covers research at the forefront of the subject, and it is expected to be a very useful addition to the literature in this important field.
Interference in Large Wireless Networks
Since interference is the main performance-limiting factor in most wireless networks, it is crucial to characterize the interference statistics. The main two determinants of the interference are the network geometry (spatial distribution of concurrently transmitting nodes) and the path loss law (signal attenuation with distance). For certain classes of node distributions, most notably Poisson point processes, and attenuation laws, closed-form results are available, for both the interference itself as well as the signal-to-interference ratios, which determine the network performance. This monograph presents an overview of these results and gives an introduction to the analytical techniques used in their derivation. The node distribution models range from lattices to homogeneous and clustered Poisson models to general motion-invariant ones. The analysis of the more general models requires the use of Palm theory, in particular conditional probability generating functionals, which are briefly introduced in the appendix.
Scattering, Two-Volume Set
Scattering is the collision of two objects that results in a change of trajectory and energy. For example, in particle physics, such as electrons, photons, or neutrons are "scattered off" of a target specimen, resulting in a different energy and direction. In the field of electromagnetism, scattering is the random diffusion of electromagnetic radiation from air masses is an aid in the long-range sending of radio signals over geographic obstacles such as mountains. This type of scattering, applied to the field of acoustics, is the spreading of sound in many directions due to irregularities in the transmission medium. Volume I of Scattering will be devoted to basic theoretical ideas, approxima...
The Unseen Power
Based largely on primary sources, this book presents the first detailed history of public relations from 1900 through the 1960s. The author utilized the personal papers of John Price Jones, Ivy L. Lee, Harry Bruno, William Baldwin III, John W. Hill, Earl Newsom as well as extensive interviews -- conducted by the author himself -- with Pendleton Dudley, T.J. Ross, Edward L. Bernays, Harry Bruno, William Baldwin, and more. Consequently, the book provides practitioners, scholars, and students with a realistic inside view of the way public relations has developed and been practiced in the United States since its beginnings in mid-1900. For example, the book tells how: * President Roosevelt's ref...
Tensor Valuations and Their Applications in Stochastic Geometry and Imaging
The purpose of this volume is to give an up-to-date introduction to tensor valuations and their applications. Starting with classical results concerning scalar-valued valuations on the families of convex bodies and convex polytopes, it proceeds to the modern theory of tensor valuations. Product and Fourier-type transforms are introduced and various integral formulae are derived. New and well-known results are presented, together with generalizations in several directions, including extensions to the non-Euclidean setting and to non-convex sets. A variety of applications of tensor valuations to models in stochastic geometry, to local stereology and to imaging are also discussed.
Point Process Calculus in Time and Space
This book provides an introduction to the theory and applications of point processes, both in time and in space. Presenting the two components of point process calculus, the martingale calculus and the Palm calculus, it aims to develop the computational skills needed for the study of stochastic models involving point processes, providing enough of the general theory for the reader to reach a technical level sufficient for most applications. Classical and not-so-classical models are examined in detail, including Poisson–Cox, renewal, cluster and branching (Kerstan–Hawkes) point processes.The applications covered in this text (queueing, information theory, stochastic geometry and signal analysis) have been chosen not only for their intrinsic interest but also because they illustrate the theory. Written in a rigorous but not overly abstract style, the book will be accessible to earnest beginners with a basic training in probability but will also interest upper graduate students and experienced researchers.
Handbook of Spatial Statistics
Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters.The handbook begins with a historical intro
