It covers the entire scope of mechanical metallurgy, from an understanding of the continuum description of stress and strain, through crystalline and defect mechanisms of flow and fracture, and on to a consideration of major mechanical property tests and the basic metalworking process. It has been updated throughout, SI units have been added, and end-of-chapter study questions are included.

    It is a testament to the remarkable and mysterious work during World War II that made it a place worth saving. It is a book about campaigners, veterans, enthusiasts, computer geeks, technology, Twitter, trees and Stephen Fry stuck in a lift.And finally, it is a story about preserving the past for the generations of tomorrow.

    

    Top employees of a U.S. defense contractor dying at an alarming rate. A cryptic message sent by a strange, secretive source warns the contractor’s products have been corrupted and could be used against the U.S. Armed Forces.They all seem to be connected. But how?Only two men on earth are capable of putting it all together and those men are Jack Wilder and Jeff Bradshaw, two of the greatest special operations forces soldiers who have ever lived.There's a problem though. Jack and Jeff are off-duty at Jack’s ranch while Jeff tries to recover from a severe case of post-traumatic stress disorder. Jack's seventeen-year-old ward, a hellcat named Adelaide, is also on the ranch. Nothing seems more impossible than getting the three of them to leave their safe commune. But then, a mysterious blue Maybach shows up at the ranch. The Maybach's visit sends Adelaide, Jack and Jeff off on a dangerous trail of murder and intrigue as they confront the insurmountable edge.“Thomas H. Goodfellow’s timely political thriller The Insurmountable Edge imagines a world in which the US and China move close to open warfare.” - Benjamin Welton, ForewordReviews.com

    

    Rocketed to popularity by the 2003 bestseller Moneyball and the film of the same name, the use of sabermetrics to analyze player performance has appeared to be a David to the Goliath of systemically advantaged richer teams that could be toppled only by creative statistical analysis. The story has been so compelling that, over the past decade, team after team has integrated statistical analysis into its front office. But how accurately can crunching numbers quantify a player's ability? Do sabermetrics truly level the playing field for financially disadvantaged teams? How much of the baseball analytic trend is fad and how much fact?The Sabermetric Revolution sets the record straight on the role of analytics in baseball. Former Mets sabermetrician Benjamin Baumer and leading sports economist Andrew Zimbalist correct common misinterpretations and develop new methods to assess the effectiveness of sabermetrics on team performance. Tracing the growth of front office dependence on sabermetrics and the breadth of its use today, they explore how Major League Baseball and the field of sports analytics have changed since the 2002 season. Their conclusion is optimistic, but the authors also caution that sabermetric insights will be more difficult to come by in the future. The Sabermetric Revolution offers more than a fascinating case study of the use of statistics by general managers and front office executives: for fans and fantasy leagues, this book will provide an accessible primer on the real math behind moneyball as well as new insight into the changing business of baseball.

    These twelve cases cover 100 years of crime history over several different countries, demonstrating once more that serious crime is a phenomenon that knows no boundaries. One of the major themes of this volume is crimes against the most vulnerable people in our society, including the elderly and the young. You will read about a case in Indiana where a twelve-year-old girl was brutally tortured and murdered, not by a deranged pedophile or a career criminal, but by girls her own age who let their undeveloped minds and peer pressure get out of hand. The bizarre case of a serial killer who targeted elderly women in Australia is also profiled, demonstrating that not only are killers driven by diverse motives, many of which will be impossible for most of us to understand, but also that not all serial killer victims are society’s “throw aways.” You will also read about two contestants for the “worst parent of all-time award.” These two separate cases involved men, who instead of protecting and caring for their children, ultimately played major roles in the horrible, painful deaths of their children. Educate yourself on the world of true crime and learn that not everything is always as it seems. Follow the criminal investigations as detectives from around the world broke some of the most baffling true crime cases of the last 100 years.

    With those in mind, I will recap briefly the series so far…In Cold Blood: Discovering Chris Watts - Part One - The FactsWe guess it’s safe to say most people will have heard of the Watts case. Christopher (Chris) Lee Watts, the dashing, seemingly genteel, affable man who murdered his entire family in a calculated attack that shocked the entire world. Shanann Watts, his pregnant, incredibly beautiful wife whose life was snuffed out because her doting husband decided he wanted a fresh start. Bella Marie and Celeste Cathryn (CeCe) Watts, adorable sisters who worshipped their father, the very man who suffocated them both in cold blood using their comfort blankets against them. He then went on to dispose of their tiny bodies into huge tanks filled with toxic crude oil. Nico Lee Watts, Chris and Shanann’s unborn son.During this series we will look at the facts, the police investigation, the evidence, hear Chris Watts’ explanation and his reasoning. We will try to make some sense of what occurred during the early hours of August 13th 2018. We will endeavour to present to you all aspects of the case, right from the initial investigation and how it unfolded, to the first and subsequent confessions all transcribed word for word (where possible) from actual video and audio footage obtained from the FBI’s Discovery Files.A Deal With the Devil - Discovering Chris Watts - Part Two - The FactsAt the end of book one, Chris Watts had finally confessed to murdering his beautiful family and disposing of their bodies at an oil field.In part two, we focus on…•… the grim discovery and recovery of the bodies.•… the chilling details of the autopsies.•… the remaining police interviews of Nichol Kessinger.•… the Plea Deal.•… the sentencing.•… Chris Watts Prison Interview.What to expect in this book…The Truth Within the Lies: Discovering Chris Watts - Part Three – The TheoriesFor anyone new to this case, the first thing they ask is why? And unfortunately no amount of reading, or watching, or studying will answer that for you. The only person who knows the absolute truth is Chris Watts himself, and for some reason he has refused to confess all up to now. Oh yes, he’s confessed to much of it, but there are so many discrepancies, changed statements, obvious lies and omissions. The online True Crime Community is rife with scenarios and theories and some of them are eye-poppingly, jaw-droppingly valid. So we’ve given you the facts, and now we intend to put forward some of the theories to see if we can work out which truths have been weaved through the lies and vice-versa.Please note: These theories are not the opinions of the authors and in no way are they saying these events are actually true. But they are most definitely food for thought…

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Itzik Ben-Gan explains key T-SQL concepts and helps you apply your knowledge with hands-on exercises. The book first introduces T-SQL's roots and underlying logic. Next, it walks you through core topics such as single-table queries, joins, subqueries, table expressions, and set operators. Then the book covers more-advanced data-query topics such as window functions, pivoting, and grouping sets. The book also explains how to modify data, work with temporal tables, and handle transactions, and provides an overview of programmable objects. Microsoft Data Platform MVP Itzik Ben-Gan shows you how to: Review core SQL concepts and its mathematical roots Create tables and enforce data integrity Perform effective single-table queries by using the SELECT statement Query multiple tables by using joins, subqueries, table expressions, and set operators Use advanced query techniques such as window functions, pivoting, and grouping sets Insert, update, delete, and merge data Use transactions in a concurrent environment Get started with programmable objects-from variables and batches to user-defined functions, stored procedures, triggers, and dynamic SQL

    Requiring only basic algebra and trigonometry, the new edition is notable for its readability, learning features and numerous full-color photos and illustrations. A systems approach is used to cover state-of-the-art communications technologies, to best reflect current industry practice. This edition contains greatly expanded and updated material on the Internet, cell phones, and wireless technologies. Practical skills like testing and troubleshooting are integrated throughout. A brand-new Laboratory & Activities Manual provides both hands-on experiments and a variety of other activities, reflecting the variety of skills now needed by technicians. A new Online Learning Center web site is available, with a wealth of learning resources for students. An Instructor Productivity Center CD-ROM features solutions to all problems, PowerPoint lessons, and ExamView test banks for each chapter.

    The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

    You will use it from high school to college and beyond. The full version is absolutely FREE. Features Conversion of over 1,000 units. Metric, English, and US customary systems. Length, Area, Volume, Speed, Force, Energy, Electricity, Viscosity, Temperature, and more. List of powers of 10 prefixes. Explanation of SI writing style. Approximate conversion of units. Clear and concise explanations. Difficult concepts are explained in simple terms. Navigate from Table of Contents or search for words or phrases. Add bookmarks and annotation. Access the guide anytime, anywhere - at home, on the train, in the subway. Use your down time to prepare for an exam. Always have the guide available for a quick reference. Indispensable resource for technical and life science students. The full version is absolutely FREE. FREE updates. Table of Contents Conversion of units: Length: Definition | Conversion Area: Definition | 2-D Formulae | 3-D Formulae | Conversion Volume: Definition | Formulae | Conversion Angle: Definition | Conversion Mass: Definition | Conversion Time: Definition | Conversion Speed: Definition | Conversion Acceleration: Definition | Conversion Force: Definition | Conversion Pressure or mechanical stress: Definition | Conversion Energy, work, or heat: Definition | Conversion Power: Definition | Conversion Angular momentum: Definition | Conversion Electricity: Current | Charge | Resistance | Voltage | Formulae | Conversion Viscosity: Definition | Conversion Information entropy: Definition | Conversion Temperature: Definition | Conversion Approximate conversion of units History: Systems of measurement | History of measurement Metric system (SI): Definition | SI writing style | Powers of 10 prefixes Other Systems: English system | Imperial unit | United States customary units | Comparison of the Imperial and U.S. customary systems

    You’ll quickly discover the many advantages of the language, including access to all the great tools and libraries of the .NET platform.Reap the benefits of functional programming for your next project, whether you’re writing concurrent code, or building data- or math-intensive applications. With this comprehensive book, former F# team member Chris Smith gives you a head start on the fundamentals and walks you through advanced concepts of the F# language.Learn F#’s unique characteristics for building applicationsGain a solid understanding of F#’s core syntax, including object-oriented and imperative stylesMake your object-oriented code better by applying functional programming patternsUse advanced functional techniques, such as tail-recursion and computation expressionsTake advantage of multi-core processors with asynchronous workflows and parallel programmingUse new type providers for interacting with web services and information-rich environmentsLearn how well F# works as a scripting language

    This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity of most college texts. You get a firm grasp of the fundamentals and a hands-on understanding of how to apply them before moving on to the more advanced material that follows. Each chapter presents you with easy-to-follow descriptions illustrated by graphics, formulas, and plenty of solved examples. Before you know it, you'll learn to apply statistical reasoning and statistical techniques, from basic concepts of probability and hypothesis testing to multivariate analysis. Organized into four distinct sections, Statistics in a Nutshell offers you:Introductory material: Different ways to think about statistics Basic concepts of measurement and probability theoryData management for statistical analysis Research design and experimental design How to critique statistics presented by others Basic inferential statistics: Basic concepts of inferential statistics The concept of correlation, when it is and is not an appropriate measure of association Dichotomous and categorical data The distinction between parametric and nonparametric statistics Advanced inferential techniques: The General Linear Model Analysis of Variance (ANOVA) and MANOVA Multiple linear regression Specialized techniques: Business and quality improvement statistics Medical and public health statistics Educational and psychological statistics Unlike many introductory books on the subject, Statistics in a Nutshell doesn't omit important material in an effort to dumb it down. And this book is far more practical than most college texts, which tend to over-emphasize calculation without teaching you when and how to apply different statistical tests. With Statistics in a Nutshell, you learn how to perform most common statistical analyses, and understand statistical techniques presented in research articles. If you need to know how to use a wide range of statistical techniques without getting in over your head, this is the book you want.