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This text then discusses the significance of maintaining estuarine environment quality if fisheries are to continue. Other chapters consider the great value of the estuarine zone, which lies in the multiplicity of uses it serves, but herein also lies its vulnerability. This book discusses as well the identification of the major factors regulating phytoplankton productivity and regulating the level of phytoplankton biomass. The final chapter deals with assessing the potential deleterious effects of certain toxicants to penaeid shrimp. 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This volume contains seven chapters that focus on a wide range of research in the field of neurolinguistics. Chapter 1 discusses the various approaches to the problem of auditory comprehension in aphasia. A survey of the world's literature on bilingualism and aphasia is provided in chapter 2. The third chapter examines the different models and explanations for conduction aphasia. Chapter 4 provides a synthesis of the anatomic, physiologic, and behavioral research on the role of the limbic system in human communication. Chapter 5 presents a model of individual differences in hemispheric functioning, in which a number of theories about the left and right hemispheres are analyzed and compared. Chapter 6 shows how different levels of language are revealed. The last chapter addresses \"The Question of Electrophysiological Asymmetries Preceding Speech\" in a study of the readiness potentials over the motor and premotor regions in eight subjects. 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The book presents specific chapters that cover topics on nematodes as models to study aging; nematodes as nutritional models; physiology and morphology of nematodes; and models and mechanisms on longevity and survival in nematodes. Geneticists, cell and developmental biologists, neurologists, endocrinologists, toxicologists, nutritionists, and gerontologists will find the book invaluable.", "author": "Bert M. 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This book aims to help students obtain the necessary practice in a first course in statistics, which is essential to learning and understanding the material. This edition begins with an overview of summation notation exercises with additional computational practices. This text then provides computational exercises for regular frequency distributions, grouped frequency distributions, cumulative frequency distribution, graphic representations, measures of central tendency, measures of variability, and general transformations. This book discusses as well the probability and the general strategy of inferential statistics as well as the differences between the means of two populations. The reader is also introduced to the main advantage of nonparametric and distribution-free statistical tests in which they do not require the population being sampled to the normally distributed. This book is a valuable resource for students of behavioral and social sciences.", "author": "Robert B. 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The book is organized into five chapters. The first chapter explores the applications in the vast field of virtual reality. The second chapter presents a brief history of the field and its founders. Chapter 3 discusses human perception and how it works. Some interesting notes and much of the hot debate in the field are covered in Chapter 4. The fifth chapter describes many of the complexities involved in implementing virtual environments on real equipment. Computer scientists and programmers will find the book interesting.", "author": "Christopher D. Watkins, Stephen R. 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Readers who wish to obtain information on thermoregulatory processes in different species will welcome this as a convenient reference work. It is hoped that the treatise will have more than convenience value. This volume comprises five chapters, with the first focusing on rodents. It discusses the thermal environment of rodents, thermal behavior, and precision of homeothermy. Chapter 2 focuses on carnivores and discusses general thermal defenses, protection against hypothermia and hyperthermia, and cold acclimation. Chapter 3 deals with body temperature, behavioral thermoregulation, and food and water intake of ungulates. Chapter 4 focuses on primates and discusses normal thermoregulation in the monkey, fever and other responses to pyrogens, and neurochemical control mechanisms in the hypothalamus. 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This compilation discusses quenching and sensitization of rare earth luminescence, magnetic properties of rare earth intermetallics, and microcapsulated rare earth-nickel hydride-forming materials. The effect of rare earth on the quality and properties of hot-rolled steel strips and role of yttrium in heavy section spheroidal graphite cast iron are also elaborated. This book likewise covers the application of scandium oxide in an electron emission material and study on the effect of rare earth elements on the yield of wheat. 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This book covers both the advanced programming features of the IBM PC and Turbo C. It is organized into five sections. In Section 1 the proposed ANSI standard features, tips and techniques about C programming style, working with the C preprocessor, and tips for using pointers and managing memory allocation tasks are introduced. Section 2 discusses techniques for constructing useful and reliable data structures from linked lists to binary trees. The third section provides the complete Turbo C I/O system and takes an in-depth look at the many tools that Turbo C provides for accessing files and other I/O devices. Section 4 explains the techniques for interacting with DOS and the special features of Turbo C such as the Borland Graphic Interface (BGI). The final section, Section 5 presents the tools and techniques for developing Turbo C-like user interfaces, such as pop-up windows, pop-up menus, and pulldown menus. 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The book emphasizes practical and useful programming examples. It is organized into five sections. The first section introduces the proposed ANSI standard features, tips and techniques about C programming style, working with the C preprocessor, and tips for using pointers and managing memory allocation tasks. Section 2 presents data structures, discussing techniques for constructing useful and reliable data structures from linked lists to binary trees. The third section covers the many tools that QuickC provides for accessing files and other I/O devices. Section 4 explains the techniques for interacting with DOS and the special features of QuickC. The final chapter presents the tools and techniques for developing QuickC-like user interfaces. 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The conference provided a forum for discussing the use of statistical methods to improve data quality, with emphasis on the problems of data collection systems and how to handle them using state-of-the-art techniques. Comprised of 16 chapters, this volume begins with an overview of some of the limitations of surveys, followed by an annotated bibliography on frames from which the probability sample is selected. The reader is then introduced to sample designs and methods for collecting data over space and time; response effects to behavior and attitude questions; and how to develop and use error profiles. Subsequent chapters focus on principles and methods for handling outliers in data sets; influence functions, outlier detection, and data editing; and application of pattern recognition techniques to data analysis. The use of exploratory data analysis as an aid in modeling and statistical forecasting is also described. 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This book addresses both theoretical and practical issues related to the feasibility of both explaining human perception and implementing machine perception in terms of neural network models. The book is organized into two parts. The first part focuses on human perception. Topics on network model of object recognition in human vision, the self-organization of functional architecture in the cerebral cortex, and the structure and interpretation of neuronal codes in the visual system are detailed under this part. Part two covers the relevance of neural networks for machine perception. Subjects considered under this section include the multi-dimensional linear lattice for Fourier and Gabor transforms, multiple- scale Gaussian filtering, and edge detection; aspects of invariant pattern and object recognition; and neural network for motion processing. 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