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"FRBR Functional Requirements for Bibliographic Records is an evolving conceptual model designed to help users easily navigate catalogs and find the material they want in the form they want it be that print, DVD, audio, or adaptations. Developed by the International Federation of Library Associations and Institutions Cataloging Section, FRBR is now being integrated into cataloging theory and implemented into systems and practice."

"[This book is an introduction to the theory of continuous-time stochastic processes. A balance of theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, finance, and insurance using stochastic methods. This textbook, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic processes, stochastic integrals, and stochastic differential equations. Expertly balancing theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and insurance using stochastic methods. Key topics include: Markov processes Stochastic differential equations Arbitrage-free markets and financial derivatives Insurance risk Population dynamics, and epidemics Agent-based models., This book is an introduction to the theory of continuous-time stochastic processes. A balance of theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, finance, and insurance using stochastic methods. This textbook, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic processes, stochastic integrals, and stochastic differential equations. Expertly balancing theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and insurance using stochastic methods. Key topics include: Markov processes Stochastic differential equations Arbitrage-free markets and financial derivatives Insurance risk Population dynamics, and epidemics Agent-based models.]"

"Virtual reality in medicine presents examples for surgical training, intra-operative augmentation, and rehabilitation that are already in use as well as those currently in development. It is well suited as introductory material for engineering and computer science students, as well as researchers who want to learn more about basic technologies in the area of virtual reality applied to medicine. It also provides a broad overview to non-engineering students as well as clinical users, who desire to learn more about the current state of the art and future applications of this technology."

"This textbook on linear algebra includes the key topics of the usual topics, such as complex vector spaces, complex inner products, the Spectral theorem for normal operators, dual spaces, the minimal polynomial, the Jordan canonical form, and the rational canonical form, are covered, along with a chapter on determinants at the end of the book. In addition, there is material throughout the text on linear differential equations and how it integrates with all of the important concepts in linear algebra.This book has several distinguishing features that set it apart from other linear algebra texts. For example, Gaussian elimination is used as the key tool in getting at eigenvalues, it takes an essentially determinant-free approach to linear algebra, and systems of linear differential equations are used as frequent motivation for the reader. "

"This book bridges the gap between systems science and population health science and brings together contributions from leading authorities in the field to describe how complex systems science contributes to population health and to demonstrate how methodological approaches in systems science can sharpen population health science. The book includes both theoretical and empiric illustrations from the emerging literature at the nexus between complex systems and population health. The first section, simplicity, complexity, and population health walks the reader through the intellectual and conceptual history of systems science as it intersects with population health. The second section, methods in systems population health, provides the reader with clear, concise overviews of several important and emerging systems science methodological tools, including systems dynamics, agent-based modeling, microsimulation, social network analysis, and machine-learning with relevant examples drawn from the population health literature. The third section, systems science toward a consequential population health, synthesizes the previous two sections to explore the implications of systems science for our understanding of broad issue areas in population health."