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Antisense technology is the ability to manipulate gene expression within mammalian cells providing powerful experimental approaches for the study of gene function and gene regulation. For example, methods that inhibit gene expression permit studies which probe the normal function of a specific product within a cell. Such methodology can be used in many disciplines such as pharmacology, oncology, genetics, cell biology, developmental biology, molecular biology, biochemistry, and neurosciences. This volume will be a truly important tool in biomedical-oriented research.The critically acclaimed laboratory standard for more than forty years, Methods in Enzymology is one of the most highly respected publications in the field of biochemistry. Since 1955, each volume has been eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. Now with more than 300 volumes (all of them still in print), the series contains much material still relevant today--truly an essential publication for researchers in all fields of life sciences.
In the completely revised second edition, additional chapters and more case studies add to the clear, simple, and essentially non-mathematical presentation of the basic concepts, techniques, and applications of the renowned Taguchi approach. This practical guide introduces the fundamentals of Taguchi experimental design and shows engineers how to design, analyze, and interpret experiments for a wide range of common products and processes. What Readers Are Saying "...a clear, step-by-step guide to the Taguchi design of experiments method. The careful descriptions, calculations, and examples demonstrate the versatility of these practical and powerful tools." —Fred Schenkelberg, Consultant, FMS Reliability, Los Gatos, California "Dr. Roy presents the theory and relates it to practical examples, explaining difficult concepts in an understandable manner. This is an easy-to-read, right-on-the-mark guide to understanding and applying Taguchi robust design and DOE. Readers will find these techniques extremely useful, practical, and easily applied to the daily job." —George Li, Process Improvement Manager, Research in Motion, Waterloo, Ontario, Canada "The book has a detailed discussion of Taguchi methods that are not covered in great detail in many books on DOE." —Frederick H. Long, President, Spectroscopic Solutions, LLC, Randolph, New Jersey "Dr. Roy's name is instantly associated with Taguchi methodologies in the manufacturing industries. His skill set is also being recognized for project management instruction. The new edition includes more easy-to-follow descriptions and examples." —Andrea Stamps, Engineering Specialist, Six Sigma Master Black Belt, General Dynamics, Southfield, Michigan "Research engineers, process development engineers, pilot plant engineers, design engineers, national research labs and academic research laboratories should use this book extensively. It's a practical textbook on how to maximize output with minimal use of resources." —Dr. Naresh Mahamuni, Research Associate, North Carolina A&T University, Greensboro, North Carolina "Dr. Roy has many years of practical experience helping engineers understand and improve their engineering, reliability, and problem-solving skills using Dr. Taguchi's ideas. He anticipates questions engineers would ask and provides information exactly when it is needed." —Larry R. Smith, Quality and Reliability Manager (retired), Ford Motor Co., Dearborn, Michigan "A large number of examples support the contents. Case studies are enumerated, which is a strength of the book." —Dr. Pradeep Kumar, Professor and Head, Dept. of Mechanical and Industrial Engineering, IIT Roorkee, Uttarakhand, India "Dr. Roy's book lists many application examples that can help engineers use the Taguchi method effectively." —Dr. Side Zhao, Control Engineer, NACCO Materials Handling Group, Portland, Oregon "The author's experience on the topic is what makes this book very useful as a principal reference in teaching the Taguchi method in quality engineering." —Dr. Carlos Diaz Ramos, Research Professor, Instituto Tecnologico de Orizaba and Universidad Veracruzana, Mexico "The author is able to explain concepts in a very knowledgeable yet down-to-earth and systematic manner. The material is very well organized." —Kush Shah, Manager, Alternative Propulsion Technology Quality, General Motors, LLC, Pontiac, Michigan "This book is a valuable introductory text in Taguchi methods with a number of illustrative examples and case studies that make the concepts clearer than books with theory only." —Dr. R. Mahalinga Iyer, Senior Lecturer, Queensland University of Technology, Brisbane, Queensland, Australia.
Carefully designed as an easy and quick reference, this desktop manual is for working pathologists who need to determine the particular type of cancer they are dealing with in a patient. To this end, the book contains many large tables of information to allow a fast analysis of results, providing all the relevant information to diagnose the full range of different tumors in humans. Must-have content for all cancer pathologists.
Gini's mean difference (GMD) was first introduced by Corrado Gini in 1912 as an alternative measure of variability. GMD and the parameters which are derived from it (such as the Gini coefficient or the concentration ratio) have been in use in the area of income distribution for almost a century. In practice, the use of GMD as a measure of variability is justified whenever the investigator is not ready to impose, without questioning, the convenient world of normality. This makes the GMD of critical importance in the complex research of statisticians, economists, econometricians, and policy makers. This book focuses on imitating analyses that are based on variance by replacing variance with the GMD and its variants. In this way, the text showcases how almost everything that can be done with the variance as a measure of variability, can be replicated by using Gini. Beyond this, there are marked benefits to utilizing Gini as opposed to other methods. One of the advantages of using Gini methodology is that it provides a unified system that enables the user to learn about various aspects of the underlying distribution. It also provides a systematic method and a unified terminology. Using Gini methodology can reduce the risk of imposing assumptions that are not supported by the data on the model. With these benefits in mind the text uses the covariance-based approach, though applications to other approaches are mentioned as well.
The purpose of this book is to introduce multivariate statistical methods to non-mathematicians. It is not intended to be comprehensive. Rather, the intention is to keep the details to a minimum while still conveying a good idea of what can be done. In other words, it is a book to 'get you going' in a particular area of statistical methods. This second edition has retained all of Professor Manly's crystal clear style. It is based on a course that has been taught successfully at the University of Otago for a number of years but has increased coverage on measuring distances between cases based on presence-absence data, a new selection on logistic regression, new exercises and two completely new chapters on graphical methods and ordination. The author has taken into account the major shift in the way in which computer software is used, but the emphasis is on the underlying principles rather than the use of particular programs.
Only a basic understanding of arithmetic is needed to grasp these strategy games with two or more sets of inimical interests and a limitless array of zero-sum payoffs.
Rapid molecular identification and typing of micro-organisms is extremely important in efforts to monitor the geographical spread of virulent, epidemic or antibiotic-resistant pathogens. It has become a mainstay of integrated hospital infection control service. In addition, numerous industrial and biotechnological applications require the study of the diversity of organisms. Conventional phenotypic identification and typing methods have long been the mainstay of microbial population and epidemiological studies, but such methods often lack adequate discrimination and their use is normally confined to the group of organisms for which they were originally devised. Molecular fingerprinting methods have flourished in recent years and many of these new methods can be applied to numerous different organisms for a variety of purposes. Standardisation of these methods is vitally important. In addition, the generation of large numbers of complex fingerprint profiles requires that a computer-assisted strategy is used for the formation and analysis of databases. The purpose of this book is to describe the best fingerprinting methods that are currently available and the computer-assisted strategies that can be used for analysis and exchange of data between laboratories. This book is dedicated to the memory of Jan Ursing (1926 - 2000), Swedish microbiologist, taxonomist and philosopher. "...taxonomy is on the borders of philosophy because we do not know the natural continuities and discontinuities..."
Experimental economics is a rapidly growing field of inquiry, and there currently exist several textbooks and surveys describing the results of laboratory experiments in economics. This primer, however, is the first hands-on guide to the physical aspects of actually conducting experiments in economics. It tells researchers, teachers and students in economics how to deal with human subjects, how to design meaningful laboratory environments, how to design experiments, how to conduct experiments and how to analyse and report the data. It also deals with methodological issues. It can be used to structure an undergraduate or graduate course in experimental economics.