Fetal and Neonatal Physiology, edited by Drs. Polin, Fox, and Abman, focuses on physiologic developments of the fetus and newborn and their impact on the clinical practice of neonatology. A must for practice, this 4th edition brings you the latest information on genetic therapy, intrauterine infections, brain protection and neuroimaging, and much more. You'll also have easy access to the complete contents and illustrations online at expertconsult.com. Gain a comprehensive, state-of-the-art understanding of normal and abnormal physiology, and its relationship to disease in the fetus and newborn premature infant, from Dr. Richard Polin and other acknowledged worldwide leaders in the field. Understand the implications of fetal and neonatal physiology through chapters devoted to clinical correlation. Apply the latest insights on genetic therapy, intrauterine infections, brain protection and neuroimaging, and much more. Effectively manage the consequences of intrauterine infections with three new chapters covering intrauterine infection and preterm birth, intrauterine infection and brain injury, and intrauterine infection and chronic lung disease. Access the complete contents and illustrations online at expertconsult.com - fully searchable! Get the latest developments and a full understanding of the distinct physiology of the fetus and newborn so you can treat and manage sick newborns and preemies.
In 1723 a number of Palatine families were allowed to take up lands in the Mohawk Valley of New York. Those settling in the bounds of the present county of Herkimer were known as the Burnetsfield Patentees, after the name of the grant made by New York Governor William Burnet, and are the subject of this formidable work. This book deals with the families established in the area before the Revolution, and detailed genealogies are given for almost 100 of them.
This book offers a problem-solving approach. The authors introduce a problem to help motivate the learning of a particular mathematical modeling topic. The problem provides the issue or what is needed to solve using an appropriate modeling technique.
Mathematical modeling is both a skill and an art and must be practiced in order to maintain and enhance the ability to use those skills. Though the topics covered in this book are the typical topics of most mathematical modeling courses, this book is best used for individuals or groups who have already taken an introductory mathematical modeling course. This book will be of interest to instructors and students offering courses focused on discrete modeling or modeling for decision making.
This unique book presents decision analysis in the context of mathematical modeling and game theory. The author emphasizes and focuses on the model formulation and modeling-building skills required for decision analysis, as well as the technology to support the analysis. The primary objective of Decision Analysis through Modeling and Game Theory is illustrative in nature. It sets the tone through the introduction to mathematical modeling. The text provides a process for formally thinking about the problem and illustrates many scenarios and illustrative examples. These techniques and this approach center on the fact (a) decision makers at all levels must be exposed to the tools and techniques available to help them in the decision process, (b) decision makers as well as analysts need to have and use technology to assist in the entire analysis process, (c) the interpretation and explanation of the results are crucial to understanding the strengths and limitations of modeling, and (d) the interpretation and use of sensitivity analysis is essential. The book begins with a look at decision-making methods, including probability and statistics methods under risk of uncertainty. It moves to linear programming and multi-attribute decision-making methods with a discussion of weighting methods. Game theory is introduced through conflict games and zero-sum or constant-sum games. Nash equilibriums are next, followed by utility theory. Evolutionary stable strategies lead to Nash arbitration and cooperation methods and N-person methods presented for both total and partial conflict games. Several real-life examples and case studies using game theory are used throughout. This book would be best used for a senior-level course in mathematics, operations research, or graduate-level courses or decision modeling courses offered in business schools. The book will be of interest to departments offering mathematical modeling courses with any emphasis on modeling for decision making.
They had more in common than just a scream, whether they faced Dracula, Frankenstein's Monster, the Mummy, Dr. Jekyll, Mr. Hyde, King Kong, the Wolf Man, or any of the other legendary Hollywood monsters. Some were even monsters themselves, such as Elsa Lanchester as the Bride, and Gloria Holden as Dracula's Daughter. And while evading the Strangler of the Swamp, former Miss America Rosemary La Planche is allowed to rescue her leading man. This book provides details about the lives and careers of 21 of these cinematic leading ladies, femmes fatales, monsters, and misfits, putting into perspective their contributions to the films and folklore of Hollywood terror--and also the sexual harassment, exploitation, and genuine danger they faced on the job. Veteran actress Virginia Christine recalls Universal burying her alive in a backlot swamp in full "mummy" makeup for the resurrection scene in The Mummy's Curse--and how the studio saved that scene for the last day in case she suffocated. Filled with anecdotes and recollections, many of the entries are based on original interviews, and there are numerous old photographs and movie stills.
Mathematical Modeling for Business Analytics is written for decision makers at all levels. This book presents the latest tools and techniques available to help in the decision process. The interpretation and explanation of the results are crucial to understanding the strengths and limitations of modeling. This book emphasizes and focuses on the aspects of constructing a useful model formulation, as well as building the skills required for decision analysis. The book also focuses on sensitivity analysis. The author encourages readers to formally think about solving problems by using a thorough process. Many scenarios and illustrative examples are provided to help solve problems. Each chapter is also comprehensively arranged so that readers gain an in-depth understanding of the subject which includes introductions, background information and analysis. Both undergraduate and graduate students taking methods courses in methods and discrete mathematical modeling courses will greatly benefit from using this book. Boasts many illustrative examples to help solve problems Provides many solutions for each chapter Emphasizes model formulation and helps create model building skills for decision analysis Provides the tools to support analysis and interpretation
Optimization is the act of obtaining the "best" result under given circumstances. In design, construction, and maintenance of any engineering system, engineers must make technological and managerial decisions to minimize either the effort or cost required or to maximize benefits. There is no single method available for solving all optimization problems efficiently. Several optimization methods have been developed for different types of problems. The optimum-seeking methods are mathematical programming techniques (specifically, nonlinear programming techniques). Nonlinear Optimization: Models and Applications presents the concepts in several ways to foster understanding. Geometric interpretation: is used to re-enforce the concepts and to foster understanding of the mathematical procedures. The student sees that many problems can be analyzed, and approximate solutions found before analytical solutions techniques are applied. Numerical approximations: early on, the student is exposed to numerical techniques. These numerical procedures are algorithmic and iterative. Worksheets are provided in Excel, MATLAB®, and MapleTM to facilitate the procedure. Algorithms: all algorithms are provided with a step-by-step format. Examples follow the summary to illustrate its use and application. Nonlinear Optimization: Models and Applications: Emphasizes process and interpretation throughout Presents a general classification of optimization problems Addresses situations that lead to models illustrating many types of optimization problems Emphasizes model formulations Addresses a special class of problems that can be solved using only elementary calculus Emphasizes model solution and model sensitivity analysis About the author: William P. Fox is an emeritus professor in the Department of Defense Analysis at the Naval Postgraduate School. He received his Ph.D. at Clemson University and has taught at the United States Military Academy and at Francis Marion University where he was the chair of mathematics. He has written many publications, including over 20 books and over 150 journal articles. Currently, he is an adjunct professor in the Department of Mathematics at the College of William and Mary. He is the emeritus director of both the High School Mathematical Contest in Modeling and the Mathematical Contest in Modeling.
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