I began developing my Weider System back in the 1930s and continue to refine and add new Weider Training Principles to it. You can rely on the information I present in this book to improve your physique. Good luck! -- Joe Weider On Instinctive Training One of the most fundamental secrets of successful bodybuilding is getting to know your body and how it reacts to various training and nutritional practices. Unless you have finely honed your instinctive training ability, it will take many weeks, even months, to evaluate each experiment. It definitely pays to master the Weider Instinctive Training Principle. -- Franco Columbo, two-time Mr. Olympia On Progression The key to building massive, powerful muscles is to doggedly increase the training weights you use. But it is only good to increase training poundage if you do so in perfect form. There is a direct correlation between the amount of weight you use with perfect biomechanics in an exercise and the mass of muscles that move that weight. -- Lee Haney, three-time Mr. Olympia On Muscle Confusion Once I reached the advanced level of bodybuilding and started entering competitions, I discovered that I quickly became bored with a set training program. I began to use the Weider Muscle Confusion Principle, changing to a new and more challenging routine every time I came into the gym to bomb a particular body part. -- Lou Ferrigno On Supersets Since supersets constitute a big jump in training intensity, I always tell bodybuilders new to the Weider Supersets Training Principles to experiment with supersets, compounding movements for the biceps and triceps, or forearm flexors and forearm extensors. -- Albert Beckles, IFBB World Pro Grand Prix Champion

    Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

    It splits the mechanical properties chapter into two separate chapters in order to provide additional and expanded coverage of such topics as fatigue, crack propagation and stress, rupture time, and temperature relationships in creep, to name just a few. In addition, all new topics are accompanied by new problems for a stronger understanding of recent developments in the field.

    The Web is awash in Ruby code that is now virtually impossible to change or extend. This text helps you solve that problem by using powerful real-world object-oriented design techniques, which it thoroughly explains using simple and practical Ruby examples. Sandi Metz has distilled a lifetime of conversations and presentations about object-oriented design into a set of Ruby-focused practices for crafting manageable, extensible, and pleasing code. She shows you how to build new applications that can survive success and repair existing applications that have become impossible to change. Each technique is illustrated with extended examples, all downloadable from the companion Web site, poodr.info. The first title to focus squarely on object-oriented Ruby application design, Practical Object-Oriented Design in Ruby will guide you to superior outcomes, whatever your previous Ruby experience. Novice Ruby programmers will find specific rules to live by; intermediate Ruby programmers will find valuable principles they can flexibly interpret and apply; and advanced Ruby programmers will find a common language they can use to lead development and guide their colleagues. This guide will help you Understand how object-oriented programming can help you craft Ruby code that is easier to maintain and upgrade Decide what belongs in a single Ruby class Avoid entangling objects that should be kept separate Define flexible interfaces among objects Reduce programming overhead costs with duck typing Successfully apply inheritance Build objects via composition Design cost-effective tests Solve common problems associated with poorly designed Ruby code

    Author Charles H. Roth, Jr. carefully presents the theory that is necessary for understanding the fundamental concepts of logic design while not overwhelming students with the mathematics of switching theory. Divided into 20 easy-to-grasp study units, the book covers such fundamental concepts as Boolean algebra, logic gates design, flip-flops, and state machines. By combining flip-flops with networks of logic gates, students will learn to design counters, adders, sequence detectors, and simple digital systems. After covering the basics, this text presents modern design techniques using programmable logic devices and the VHDL hardware description language.

    It can be used as a course book for students who are first encountering systems analysis and design at any level. This second edition contains many updates, including the latest version of the UML standard, and reflects the most up to date approaches to the information systems development process. It provides a clear and comprehensive treatment of UML 1.4 in the context of the systems development life cycle, without assuming previous knowledge of analysis and design. It also discusses implementation issues in detail and gives code fragments to show possible mappings to implementation technology. Extensive use of examples and exercises from two case studies provides the reader with many opportunities to practise the application of UML.

    Windows Presentation Foundation (WPF) is the recommended technology for creating Windows user interfaces, giving you the power to create richer and more compelling applications than you dreamed possible. Whether you want to develop traditional user interfaces or integrate 3D graphics, audio/video, animation, dynamic skinning, multi-touch, rich document support, speech recognition, or more, WPF enables you to do so in a seamless, resolution-independent manner. WPF 4 Unleashed is the authoritative book that covers it all, in a practical and approachable fashion, authored by WPF guru and Microsoft developer Adam Nathan. Covers everything you need to know about Extensible Application Markup Language (XAML) Examines the WPF feature areas in incredible depth: controls, layout, resources, data binding, styling, graphics, animation, and more Highlights the latest features, such as multi-touch, text rendering improvements, XAML language enhancements, new controls, the Visual State Manager, easing functions, and much more Delves into topics that aren't covered by most books: 3D, speech, audio/video, documents, effects Shows how to create popular UI elements, such as Galleries, ScreenTips, and more Demonstrates how to create sophisticated UI mechanisms, such as Visual Studio-like collapsible/dockable panes Explains how to create first-class custom controls for WPF Demonstrates how to create hybrid WPF software that leverages Windows Forms, DirectX, ActiveX, or other non-WPF technologies Explains how to exploit new Windows 7 features, such as Jump Lists and taskbar customizations

    By staying current, remaining relevant, and adapting to emerging course needs, this market-leading text has continued to define the operating systems course. This Seventh Edition not only presents the latest and most relevant systems, it also digs deeper to uncover those fundamental concepts that have remained constant throughout the evolution of today's operation systems. With this strong conceptual foundation in place, students can more easily understand the details related to specific systems. New Adaptations * Increased coverage of user perspective in Chapter 1. * Increased coverage of OS design throughout. * A new chapter on real-time and embedded systems (Chapter 19). * A new chapter on multimedia (Chapter 20). * Additional coverage of security and protection. * Additional coverage of distributed programming. * New exercises at the end of each chapter. * New programming exercises and projects at the end of each chapter. * New student-focused pedagogy and a new two-color design to enhance the learning process.

    For courses in computer organization and architecture, this text provides a clear, comprehensive presentation of the organization and architecture of contemporary computers.

    Written by the lead technical writer at one of Silicon Valley's most exciting companies, Modern Technical Writing is a set of guiding principles and thoughtful recommendations for new and experienced technical writers alike. Not a reference manual, and not comprehensive, it instead serves as an introduction to a sensible writing and publishing process, one that has eluded the profession for too long.

    All of the fundamentals of robotics are covered--robotics analysis; including kinematics, kinetics and force control, and trajectory planning of robots; its sub-systems such as actuators, sensors, and vision systems; as well as robotics applications. "Introduction to Robotics" also includes many subjects related to mechatronics, microprocessor actuator control, integration of sensors, vision systems, and fuzzy logic. For practicing mechanical engineers, electronic and electric engineers, computer engineers, and engineering technologists who would like to learn about robotics.

    In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice.This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises.This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective.

    Hemostasis and coagulation theory, testing, and instrumentation are also thoroughly discussed. Beautiful full-color illustrations throughout the text enhance comprehension and allow students to realistically visualize hematology concepts.Detailed, full-color illustrations appear near hematology concept discussions to visually support comprehension and recognition.Opening Case Studies present real-life scenarios to apply concepts presented in each chapter.Learning Objectives and Review Questions work together to list expected outcomes and then test those concepts for each chapter.A Bulleted Summary highlights the key concepts at the end of each chapter.Hematology/Hemostasis Reference Ranges inside the front and back covers provide quick reference.Three new chapters detail significant information: An Overview of Clinical Laboratory Hematology, Hematology in Selected Populations, and Monitoring Anticoagulant Therapy.All chapters have been revised to feature the most current technology and research updates.The included Glossary of Terms and consistent pedagogy ensure a cohesive, effective tool for learning.Two well-respected editors contributed more significantly to this third edition: George Fritsma shared his expertise for the Hemostasis section and Kathy Doig managed the pedagogical features.

    The text examines the basics of analog image analysis while placing greater emphasis on digitally based systems and analysis techniques. The presentation is discipline neutral, so students in any field of study can gain a clear understanding of these systems and their virtually unlimited applications.

    It introduces the use of classes; shows how to write ADTs that maximize the perfomance of C++ in creating reusable code; and provides coverage of all important OO functions, including inheritance, polymorphism and encapsulation.