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The Water Puzzle and the Hexagonal Key, summarizes over 40 years of scientific research, documenting the structural qualities of water. The author presents scientific evidence showing that the hexagonal structure of water, is preferred by all biological organisms - that it is involved in the healthy function of the DNA, enzyme reactions and numerous metabolic functions. The book, now translated in 5 languages, is presented in "lay" terms for easy and informative reading..
Price: $13.95 [Notify me when price goes down.]

Praise for Building Clustered Linux Systems "The author does an outstanding job of presenting a very complicated subject. I very much commend this work. The author sets the pace and provides vital resources and tips along the way. He also has a very good sense of humor that is crafted in the text in such a way that makes the reading enjoyable just when the subject may demand a break. This book should be a requirement for those that are clustering or considering clustering and especially those considering investing a great deal of financial resource toward that goal." --Joe Brazeal, Information Technician III, Southwest Power Pool "This book is for Beginner and Intermediate level system administrators, engineers, and researchers, who want to learn how to build Linux clusters. The book covers everything very well." --Ibrahim Haddad, Senior Researcher, Ericsson Corporate Unit of Research "Nothing that I know of exists yet that covers this subject in as much depth and detail. The practical 'hands-on' approach of this book on how to build a Linux cluster makes this a very valuable reference for a very popular, highly demanded technology."--George Vish, II, Linux Curriculum Program Manager and Senior Education Consultant, HP "In my opinion there is a significant lack of literature on this subject. Most of the currently available books are either dated or do not address the complete picture of the range of decisions that must go into building a Linux cluster. I feel comfortable recommending this to anyone interested in building a Linux cluster to better understand both the technical aspects of building and designing a Linux cluster, but also the business aspects of the same." --Randall Splinter Ph.D., Senior Solution Architect, HP "The author has set a precedent in the cluster design and integration process that is lacking in the industry today." --Stephen Gray, Senior Applications Engineer, Altair Engineering, Inc. The Practical, Step-by-Step Guide to Building and Running Linux Clusters Low-cost, high-performance Linux clusters are the best solution for an increasingly wide range of technical and business problems. Until now, however, building and managing Linux clusters has required more specialized knowledge than most IT organizations possess.This book dramatically lowers the learning curve, bringing together all the hands-on knowledge and step-by-step techniques you'll need to get the job done. Using practical examples, Robert Lucke simplifies every facet of cluster design and integration: networking, hardware, architecture, operating environments, data sharing, applications, and more. Lucke, who helped prototype and implement one of the world's largest Linux clusters, systematically addresses the key issues you'll encounter and the key decisions you'll have to make. Coverage includes: *Basic clustering concepts, hardware components, and architectural models*A step-by-step cluster creation process: design, installation, and testing*Choosing and implementing the optimal hardware configuration for your environment*Life in the fast LAN: high-speed cluster interconnects*Software issues: distributions, bootup, disks, partitioning, file systems, middleware, and more.
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Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the bio-medical sciences. The models used for this type of data are linear and nonlinear regression models that account for observed and unobserved heterogeneity at the various levels in the data.

This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. The authors of the chapters are the leading experts in the field.

Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is useful for empirical researchers in these fields. Prior knowledge of multilevel analysis is not required, but a basic knowledge of regression analysis, (asymptotic) statistics, and matrix algebra is assumed.

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Clustered survival data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography  Frailty models provide a powerful tool to analyse clustered survival data. In contrast to the large number of research publications on frailty models, relatively few statistical software packages contain frailty models.

It is demanding for statistical practitioners and graduate students to grasp a good knowledge on frailty models from the existing literature. This book provides an in-depth discussion and explanation of the basics of frailty model methodology for such readers. The discussion includes parametric and semiparametric frailty models and accelerated failure time models. Common techniques to fit frailty models include the EM-algorithm, penalised likelihood techniques, Laplacian integration and Bayesian techniques. More advanced frailty models for hierarchical data are also included.

Real-life examples are used to demonstrate how particular frailty models can be fitted and how the results should be interpreted. The programs to fit all the worked-out examples in the book are available from the Springer website with most of the programs developed in the freeware packages R and Winbugs. The book starts with a brief overview of some basic concepts in classical survival analysis, collecting what is needed for the reading on the more complex frailty models.

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This book is devoted to the application of genetic algorithms in continuous global optimization Some of their properties and behavior are highlighted and formally justified.  Various optimization techniques and their taxonomy are the background for detailed discussion. The nature of continuous genetic search is explained by studying the dynamics of probabilistic measure, which is utilized to create subsequent populations. This approach shows that genetic algorithms can be used to extract some areas of the search domain more effectively than to find isolated local minima. The biological metaphor of such behavior is the whole population surviving by rapid exploration of new regions of feeding rather than caring for a single individual. One group of strategies that can make use of this property are two-phase global optimization methods. In the first phase the central parts of the basins of attraction are distinguished by genetic population analysis. Afterwards, the minimizers are found by convex optimization methods executed in parallel.

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Michael Weiss expands on the geodemographics of The Clustering of America with this fascinating look at the sixty-two new lifestyle clusters that define Americans and their parallels in other countries. Today, the concept of clustering has spread throughout the world, revealing a global village made up of Long Distance Commuters in Japan and Chattering Classes in England who have more in common with Americans of the same cluster than they do with fellow countrymen. In The Clustered World, Weiss unveils how businesses and bureaucrats utilize clustering systems to influence our opinions and choices about bowling alleys in Florida, vending machines in Japan, and so forth..
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