Australian Models |
Become Model - Fashion Model - Modeling - Modeling Agency Ford Modeling - Fashion Agency - Professional Model - Hottest Model Listen to Coronavirus Patient Zero RRP $231.99 This book is a textbook (it includes, for example, exercises and outline solutions). The plant scientist is shown how to express physiological ideas mathematically and how to deduce quantitative conclusions, which can then be compared with experiment. There is little new biology in the book, but it is presented in a way that will be new to many biologists. The matching of models to experiments means using mathematics for formulating biological concepts and second, using algebra, calculus, or, now more frequently, computers to solve or simulate the resulting model; and finally, comparing, qualitatively or quantitatively, prediction to measurement. Computers are the important enabling technology that makes it all possible: solving equations, assembling models of increasing sophistication and complexity, and comparing theory with experiment. The book is divided into three parts. Part I. Covers subjects of wide relevance to modelling and plant biology. Part II. The reader may choose to select topics of particular interest from part II. However, the whole-plant modeller will need to study all chapters, and the plant ecosystem modeller may need to add other material also. Part III. Plant morphology is at an introductory level. It is included because morphological characters may prove to be of equal importance to some physiological traits in determining plant function and performance. "This textbook presents, in an interesting and clearly written fashion, a mathematical approach to a wide range of topics in plant and crop physiology, including light interception, leaf and canopy photosynthesis, respiration, partitioning, transpiration and water relations, branching and phyllotaxis. The biochemistry of plant growth and maintenanace is also presented in some detail. I was very pleased with the text, especially with the philosophy presented by the authors that biological models are necessarily simplifications of complex detail. I would strongly recommend it for reading and consultation by graduates and research workers." J. Exp. Botany "The authors' approach succeeds admirably, giving a thorough account of the mathematical toolbox available to researchers and the areas in which those tools have been used." Plant, Cell and Environment "Combining considerable technical cleverness with creativity and the refreshing notion that science is a "common-sense, unpredictable, fascinating and thoroughly human activity." Times Higher Educational Supplement "Exceptionally scholarly volume. Logical and systematic. Authors have assembled a mass of mathematical material in an elegant layout." Agricultural Systems RRP $752.99 John Barnes' collection of essays, published over the past forty years, covers a variety of topics in sociology and anthropology, including lineage systems, social networks, colonialism, underlying assumptions of social science, and the significance of time in social analysis. Together they identify the author's particular view of social science as being primarily about what really happens. Rather than revamp articles written with a distinctive set of assumptions to bring them into line with current intellectual fashions, Professor Barnes has chosen to let them stand as they are, products of identifiable theoretical stances and modes of exposition. But introductory notes to each chapter explain the context in which the piece was originally written and draw attention to later publications and events that bear on it. A new introduction discusses in detail the author's view of social science as the construction of models rather than a search for social laws, while the final chapter presents a model of the modeling process itself. Kinetic Modeling Of Reactions In Foods RRP $502.99 The level of quality that food maintains as it travels down the production-to-consumption path is largely determined by the chemical, biochemical, physical, and microbiological changes that take place during its processing and storage. Authored by an internationally respected food quality expert, Illustrating how kinetic modeling can predict and control food quality from farm to fork, this authoritative resource: - Applies kinetic models using general chemical, physical, and biochemical principles
- Introduces Bayesian statistics in kinetic modeling, virtually unchartered territory in the food science field
- Integrates food science, kinetics, and statistics to predict and control food quality attributes using computer models
- Uses real-world examples rather than hypothetical data to illustrate concepts
This essential reference is an indispensable guide to understanding all aspects of kinetic food modeling. Unlike many other kinetic volumes available, this book opens the door to the many untapped research opportunities in the food science realm where mathematical modeling can be applied. RRP $7.99 Barbie calls upon some very fashionable fairies for help to save a failing fashion clothing company in Modeling And Simulation Fundamentals RRP $317.99 <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. Search
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