This book is an elaboration of the author's lecture notes in a graduate course in statistical physics and thermodynamics, augmented by some material suitable for self-teaching as well as for undergraduate study.

Practicing evidenced-based medicine some 25 centuries ago, Hippocrates proclaimed "Let food be thy medicine and medicine be thy food." This advice parallels the common American saying, "You are what you eat," and is supported by a National Institute of Health recommendation to consume as many as eight servings of fruits and vegetables daily to prevent common diseases.

Metaphors, generalizations and unifications are natural and desirable ingredients of the evolution of scientific theories and concepts.

These lecture notes grew out of a one semester introductory course on elliptic curves given to an audience of computer science and mathematics students, and assume only minimal background knowledge. After having covered basic analytic and algebraic aspects, putting special emphasis on explaining the interplay between algebraic and analytic formulas, they go on to some more specialized topics.

Die lang erwartete, vollständig überarbeitete Neuauflage des traditionsreichsten Handbuchs der Bierbrauerei bietet sämtliche Grundlagen der modernen Braupraxis, unterteilt in die Bände "Malzbereitung" und "Würzebereitung". Mit umfangreichem Bild- und Tabellenmaterial.

With the aim of presenting thermodynamics in as simple and as unified a form as possible, this textbook starts with an introduction to the first and second laws and then promptly addresses the complete set of the potentials in a subsequent chapter and as a central theme throughout.

This book is drawn from across many active fields of mathematics and physics, and has connections to atmospheric dynamics, spherical codes, graph theory, constrained optimization problems, Markov Chains, and Monte Carlo methods.

Quantitative methods have a particular knack for improving any field they touch. For biology, computational techniques have led to enormous strides in our understanding of biological systems, but there is still vast territory to cover. Statistical physics especially holds great potential for elucidating the structural-functional relationships in biomolecules, as well as their static and dynamic properties.

The need to efficiently store, manipulate, and transmit large masses of information is growing more rapidly than the capacity of systems to handle it. Engineers and computer scientists need a solid understanding of compression in order to work with the burgeoning variety of data types and increasingly data-intensive applications. This uniquely comprehensive book explains the fundamental theories and techniques of data compression, with the most complete coverage available of both lossy and lossless methods. Rather than simply describing current approaches, Sayood explains the theoretical underpinnings of the algorithms so that readers learn how to model structures in data and design compression packages of their own. Practitioners, researchers, and students will benefit from the balanced presentation of theoretical material and implementations.

This book presents new approaches to data mining and system identification. Algorithms that can be used for the clustering of data have been overviewed. New techniques and tools are presented for the clustering, classification, regression and visualization of complex datasets. Special attention is given to the analysis of historical process data, tailored algorithms are presented for the data driven modeling of dynamical systems, determining the model order of nonlinear input-output black box models, and the segmentation of multivariate time-series. The main methods and techniques are illustrated through several simulated and real-world applications from data mining and process engineering practice.

Meshfree methods for the numerical solution of partial differential equations are becoming more and more mainstream in many areas of applications. Their flexiblity and wide applicability are attracting engineers, scientists, and mathematicians to this very dynamic research area. This volume represents the state of the art in meshfree methods. It consists of articles which address the different meshfree techniques, their mathematical properties and their application in applied mathematics, physics and engineering.

This best-selling radiology primer clearly explains the basic principles and clinical applications of plain film, CT, MRI, and nuclear medicine. Written in straightforward, accessible language and assuming no prior knowledge of radiology, it provides an ideal introduction to the field.

Univ. of South Florida, Tampa. Text aids in the choice and interpretation of commonly performed diagnostic lab tests, in order to avoid unnecessary and expensive tests, and quickly pinpoint an accurate diagnosis. Features a primary care focus and a disease and system organization. DNLM: Diagnostic Techniques and Procedures--Child.

The Symposium was jointly sponsored by the SIAM Activity Group on Discrete Mathematics and by SIGACT, the ACM Special Interest Group on Algorithms and Computation Theory. Contains 130 papers, which were selected based on originality, technical contribution, and relevance. Although the papers were not formally refereed, every attempt was made to verify the main claims. It is expected that most will appear in more complete form in scientific journals. The proceedings also includes the paper presented by invited plenary speaker Ronald Graham, as well as a portion of the papers presented by invited plenary speakers Udi Manber and Christos Papadimitriou.