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Arterial Remodeling

RRP $408.99

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Angioplasty has completely transformed the treatment of coronary artery disease and is widely used, with more than 800,000 procedures performed worldwide per year. However, the enthusiasm for angioplasty is shadowed by restenosis, which remains a critical problem after the procedure, resulting in clinical recurrence in over a third of patients. Recently, the mechanisms of restenosis have been completely reappraised with an enriched understanding that the original concept of neointimal hyperplasia may not be accounting for the bulk of the problem.
There is a desperate need to heighten understanding of the remodeling process at the molecular, cellular, and arterial level. Vascular remodeling is a well established concept in the field of atherosclerosis and hypertension, but only in recent years has its applicability to the field of restenosis become pivotal. Accordingly, the editors perceived the need to assemble the first book dedicated to the concept of coronary artery remodeling in restenosis, in order to clearly review the experiments leading to the remodeling hypothesis and integrate this with the neointimal hyperplasia (tumor) model for the development of the restenotic lesion.
The authors of this book present their experience to facilitate the understanding of the mechanisms for coronary restenosis and remodeling. The various experimental models, clinical issues, and basic mechanisms are reviewed in detail, resulting in a fresh approach to a vexing clinical problem. Arterial Remodeling: A Critical Factor in Restenosis will be useful to the physician and trainee who have an interest in restenosis, and specifically in the major pathophysiologic process which determines the fate of arterial healing in patients following percutaneous coronary revascularization. It is hoped that this book will lay the foundation for more effective therapies that will reduce the chance of constrictive remodeling and improve the long-term efficacy of non-surgical coronary revascularization in the future.


Modeling And Simulation Fundamentals

RRP $317.99

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<b>An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation</b> <p> Modeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. <i>Modeling and Simulation Fundamentals</i> offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of modeling and simulation. <p> Featuring contributions written by leading experts in the field, the book's fluid presentation builds from topic to topic and provides the foundation and theoretical underpinnings of modeling and simulation. First, an introduction to the topic is presented, including related terminology, examples of model development, and various domains of modeling and simulation. Subsequent chapters develop the necessary mathematical background needed to understand modeling and simulation topics, model types, and the importance of visualization. In addition, Monte Carlo simulation, continuous simulation, and discrete event simulation are thoroughly discussed, all of which are significant to a complete understanding of modeling and simulation. The book also features chapters that outline sophisticated methodologies, verification and validation, and the importance of interoperability. A related FTP site features color representations of the book's numerous figures. <p> <i>Modeling and Simulation Fundamentals</i> encompasses a comprehensive study of the discipline and is an excellent book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of computational statistics, engineering, and computer science who use statistical modeling techniques.


Model-based Predictive Control

RRP $257.99

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Model Predictive Control (MPC) has become a widely used methodology across all engineering disciplines, yet there are few books which study this approach. Until now, no book has addressed in detail all key issues in the field including apriori stability and robust stability results. Engineers and MPC researchers now have a volume that provides a complete overview of the theory and practice of MPC as it relates to process and control engineering.
Model-Based Predictive Control, A Practical Approach, analyzes predictive control from its base mathematical foundation, but delivers the subject matter in a readable, intuitive style. The author writes in layman's terms, avoiding jargon and using a style that relies upon personal insight into practical applications.
This detailed introduction to predictive control introduces basic MPC concepts and demonstrates how they are applied in the design and control of systems, experiments, and industrial processes. The text outlines how to model, provide robustness, handle constraints, ensure feasibility, and guarantee stability. It also details options in regard to algorithms, models, and complexity vs. performance issues.


How To Become A Counselling Psychologist

RRP $315.99


Nonlinear Mixture Models

RRP $272.99

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This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications. It is self-contained and unified in presentation, which makes it ideal for use as an advanced textbook by graduate students and as a reference for independent researchers. The explanations in the book are detailed enough to capture the interest of the curious reader, and complete enough to provide the necessary background material needed to go further into the subject and explore the research literature.In this book the authors present Bayesian methods of analysis for nonlinear, hierarchical mixture models, with a finite, but possibly unknown, number of components. These methods are then applied to various problems including population pharmacokinetics and gene expression analysis. In population pharmacokinetics, the nonlinear mixture model, based on previous clinical data, becomes the prior distribution for individual therapy. For gene expression data, one application included in the book is to determine which genes should be associated with the same component of the mixture (also known as a clustering problem). The book also contains examples of computer programs written in BUGS. This is the first book of its kind to cover many of the topics in this field.



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Australian Models Books

Become Model Fashion Model Modeling Modeling Agency
Ford Modeling Fashion Agency Professional Model Hottest Model
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Australian Models