The most important book at the borderland of psychology and politics that I have ever read."—Martin E. P. Seligman, Zellerbach Family Professor of Psychology at that University of Pennsylvania and author of Learned Optimism Why are we devastated by a word of criticism even when it’s mixed with lavish praise? Because our brains are wired to focus on the bad. This negativity effect explains things great and small: why countries blunder into disastrous wars, why couples divorce, why people flub job interviews, how schools fail students, why football coaches stupidly punt on fourth down. All day long, the power of bad governs people’s moods, drives marketing campaigns, and dominates news and politics. Eminent social scientist Roy F. Baumeister stumbled unexpectedly upon this fundamental aspect of human nature. To find out why financial losses mattered more to people than financial gains, Baumeister looked for situations in which good events made a bigger impact than bad ones. But his team couldn’t find any. Their research showed that bad is relentlessly stronger than good, and their paper has become one of the most-cited in the scientific literature. Our brain’s negativity bias makes evolutionary sense because it kept our ancestors alert to fatal dangers, but it distorts our perspective in today’s media environment. The steady barrage of bad news and crisismongering makes us feel helpless and leaves us needlessly fearful and angry. We ignore our many blessings, preferring to heed—and vote for—the voices telling us the world is going to hell. But once we recognize our negativity bias, the rational brain can overcome the power of bad when it’s harmful and employ that power when it’s beneficial. In fact, bad breaks and bad feelings create the most powerful incentives to become smarter and stronger. Properly understood, bad can be put to perfectly good use. As noted science journalist John Tierney and Baumeister show in this wide-ranging book, we can adopt proven strategies to avoid the pitfalls that doom relationships, careers, businesses, and nations. Instead of despairing at what’s wrong in your life and in the world, you can see how much is going right—and how to make it still better.
An explosive new look at the pressures on today's teachers and the pitfalls of school reform, Confessions of a Bad Teacher presents a passionate appeal to save public schools, before it's too late. When John Owens left a lucrative job to teach English at a public school in New York City's South Bronx, he thought he could do some good. Faced with a flood of struggling students, Owens devised ingenious ways to engage every last one. But as his students began to thrive under his tutelage, Owens found himself increasingly mired in a broken educational system, driven by broken statistics, finances, and administrations undermining their own support system—the teachers. The situation has gotten to the point where the phrase "Bad Teacher" is almost interchangeable with "Teacher." And Owens found himself labeled just that when the methods he saw inspiring his students didn't meet the reform mandates. With firsthand accounts from teachers across the country and tips for improving public schools, Confessions of a Bad Teacher is an eye-opening call-to-action to embrace our best educators and create real reform for our children's futures.
This 41st Edition presents case histories with operating data-and new research-on most topics of this major subject in today's world. This valuable Purdue Book will prove invaluable to all involved with waste treatment, providing information and data to help solve current problems. These proceedings of the May 1986 Purdue Conference include applications, research, methods and techniques, case histories, and operating data. The 91 papers include two special sections: 21 papers discuss toxic and hazardous wastes and 24 papers cover physical-biological systems. The book is further divided into papers on the following topics: (1) Pretreatment Programs and Systems; (2) Dairy Wastes; (3) Oilfield and Gas Pipeline Wastes; (4) Dye Wastes; (5) Coal, Coke and Power Plant Wastes; (6) Landfill Leachate; (7) Laws, Regulations, and Training; (8) Physical/Biological Systems; (9) Pulp and Paper Mill Wastes; (10) Plating Wastes; (11) Food Wastes; (12) Metal Wastes; and (13) Toxic and Hazardous Wastes.
This book constitutes the refereed proceedings of the 7th International Conference on Intelligent Data Analysis, IDA 2007, held in Ljubljana, Slovenia. The 33 revised papers were carefully reviewed and selected from almost 100 submissions. The book covers all current aspects of this interdisciplinary field, including statistics, machine learning, data mining, classification and pattern recognition, clustering, applications, modeling, and interactive dynamic data visualization.
Rosemond guides parents through the steps of establishing an effective disciplinary style and a tried-and-true recipe for bringing out the very best in young children.
One of the strengths of this book is the author's ability to motivate the use of Bayesian methods through simple yet effective examples. - Katie St. Clair MAA Reviews.
This work is a game-by-game account of the Philadelphia Athletics' pitiful 1916 season, in which they won just 36 of 154 games. It starts with a brief biography of the team's living symbol--A's manager and co-owner Connie Mack--and moves through the birth of the franchise and into its first era of glory in which the A's won world championships in 1910, 1911, and 1913. Following the A's stunning defeat in the 1914 World Series to the underdog Boston Braves, Mack dismantled his championship club and finished last in the American League for seven straight seasons. The 1916 campaign was the nadir. The team's few solid veterans had a supporting cast of underachievers, college boys, raw rookies, no-hopers, and sub-par pitching. The book chronicles the daily grind of a team that had no chance to begin with and quickly became the laughingstock of the AL. Many humorous anecdotes, needless to say!
A practical guide to the inside language of the world of derivative instruments and risk management Financial engineering is where technology and quantitative analysis meet on Wall Street to solve risk problems and find investment opportunities. It evolved out of options pricing, and, at this time, is primarily focused on derivatives since they are the most difficult instruments to price and are also the riskiest. Not only is financial engineering a relatively new field, but by its nature, it continues to grow and develop. This unique dictionary explains and clarifies for financial professionals the important terms, concepts, and sometimes arcane language of this increasingly influential world of high finance and potentially high profits. John F. Marshall (New York, NY) is a Managing Partner of Marshall, Tucker & Associates, a New York-based financial engineering and consulting firm. Former Executive Director of then International Association of Financial Engineers, Marshall is the author of several books, including Understanding Swaps.
A fully updated second edition of this popular introduction to applied choice analysis, written for graduate students, researchers, professionals and consultants.
This book is an introduction-level text that reviews, discusses, and integrates both theoretical and practical corporate analysis and planning. The field can be divided into five parts: (1) Information and Methodology for Financial Analysis; (2) Alternative Finance Theories and Cost of Capital; (3) Capital Budgeting and Leasing Decisions; (4) Corporate Policies and their Interrelationships; (5) Financial Planning and Forecasting.The theories used and discussed in this book can be grouped into the following classical theoretical areas of corporate finance: (1) Pre-M&M Theory, (2) M&M Theory, (3) CAPM, and (4) Option Pricing Theory (OPT). The interrelationships among these theories are carefully analyzed. Real world examples are used to enrich the learning experience; and alternative planning and forecasting models are used to show how the interdisciplinary approach can be used to make meaningful financial-management decisions.In this third edition, we have extensively updated and expanded the topics of financial analysis, planning and forecasting. New chapters were added, and some chapters combined to present a holistic view of the subject and much of the data revised and updated.
The Malcontent, usually recognized as John Marston's masterpiece, is one of the most original and complex plays of the Elizabethan theatre. Complex in genre, structure and language, it poses interesting problems for theatre history and textual transmission. The aim of this edition is to offer answers to the various questions raised by the play (derived from the thirty-six copies now extant), to establish a reliable text, to date the play and relate it to the aesthetic cross-currents flowing at the turn of the seventeenth century. It also seeks to place The Malcontent within the theatrical traditions both of boy-players and of Shakespeare's company, which stole the play from the boys and adapted to their own theatre.
Liberalism is doomed to failure, John Kekes argues in this penetrating criticism of its basic assumptions. Liberals favor individual autonomy, a wide plurality of choices, and equal rights and resources, seeing them as essential for good lives. They oppose such evils as selfishness, intolerance, cruelty, and greed. Yet the more autonomy, equality, and pluralism there is, Kekes contends, the greater is the scope for evil. According to Kekes, liberalism is inconsistent because the conditions liberals regard as essential for good lives actually foster the very evils liberals want to avoid, and avoiding those evils depends on conditions contrary to the ones liberals favor. Kekes argues further that the liberal conceptions of equality, justice, and pluralism require treating good and evil people with equal respect, distributing resources without regard to what recipients deserve, and restricting choices to those that conform to liberal preconceptions. All these policies are detrimental to good lives. Kekes concludes that liberalism cannot cope with the prevalence of evil, that it is vitiated by inconsistent commitments, and that—contrary to its aim—liberalism is an obstacle to good lives.
Few books can have undergone so many re-evaluations as this one, which has developed a fresh approach to terms which the author was apt to take for granted in recent years, never imagining that, one day, they would undergo such extensive re-evaluation as has transpired in this, arguably his most comprehensively exacting and philosophically significant work to-date, the overall significance of which is also due to the way in which certain antitheses, like life and death, heathen and Christian, energy and gravity, concrete and abstract, etc., have been interpreted from a standpoint owing more to philosophical logic than might at first seem to be the case, with highly credible conclusions that remind one that dualism, in one form or another, was always at the core of John O'Loughlin's approach to philosophy, even if the old class- and plane-orientated duality between noumenal and phenomenal, approximating to ethereal and corporeal, has here undergone a reappraisal which, relative to other such terms, renders it much less general and correspondingly much more particular, in relation, that is, to specific contexts characterized as being either phenomenal or noumenal or, in certain other permutations, as something else altogether! – A Centretruths Editorial
It is an important resource for fidelity professionals, practitioners and anyone concerned with the nature and scope of insurance covering fraud in the workplace.
Outlines best practices and demonstrates how to desgin in quality for successful development of hardware and software products. Offers systematic applications failored to particular market environments. Discusses Internet issues, electronic commerce, and supply chain.
Science Fiction Audiences examines the astounding popularity of two television "institutions" - the series Doctor Who and ^Star Trek. Both of these programmes have survived cancellation and acquired an following that continues to grow. The book is based on over ten years of research including interviews with fans and followers of the series. In that period, though the fans may have changed, and ways of studying them as "audiences" may have also changed, the programmes have endured intact, with Star Trek for example now in its fourth television incarnation. John Tulloch and Henry Jenkins dive into the rich fan culture surrounding the two series, exploring issues such as queer identity, fan meanings, teenage love of science fiction, and genre expectations. They encompass the perspectives of a vast population of fans and followers throughout Britain, Australia and the US, who will continue the debates contained in the book, along with those who will examine the historically changing range of audience theory it presents. and continue to attract a huge community of fans and followers. Doctor Who has appeared in nine different guises and Star Trek is now approaching its fourth television incarnation.Science Fiction Audiences examines the continuing popularity of two television 'institutions' of our time through their fans and followers. Through dialogue with fans and followers of Star Trek and Dr Who in the US, Britain and Australia, John Tulloch and Henry Jenkins ask what it is about the two series that elicits such strong and active responses from their audiences. Is it their particular intervention into the SF genre? Their expression of peculiarly 'American' and 'British' national cultures. Their ideologies and visions of the future, or their conceptions of science and technology? Science Fiction Audiences responds to a rich fan culture which encompasses debates about fan aesthetics, teenage attitudes to science fiction, queers and Star Trek, and ideology and pleasure in Doctor Who. It is a book written both for fans of the two series, who will be able to continue their debates in its pages, and for students of media and cultural studies, offering a historical overview of audience theory in a fascinating synthesis of text, context and audience study.
You don’t have to sink or swim in your marriage. Sail off into the sunset with the love of your life. Most marriages need rescue at one time or another. So when you need help, it’s usually due to those thoughtless things you do or say that break the delicate connection between husband and wife.Before you face storms in your marriage (or if you’re already in one), turn to psychologists and best-selling authors Drs. Henry Cloud and John Townsend. They offer real solutions and biblical insight for couples who want to keep the wind in their sails of romance.You’ll fi nd forty practical, irresistible ways to steer clear of, or resolve, all the “dumb” things that can scuttle our most cherished relationship. Insightful advice, along with true stories from the authors’ clinical practice, will strengthen your marriage or help get it back on course. Discover how to... Avoid Bringing Out the Worst in Each Other Get Exactly What You Need Out of Marriage Rebuild Trust After Great Betrayal Reignite Sexual Passion Accept That There Are No Perfect 10s and Very Few 9s Reconnect, Even When All Seems Hopeless Love When You Don’t Even Like Escape Stupid Temptations to Be Unfaithful Whether you’re simply sailing in choppy waters or braving a relational typhoon, reach for this lifeline—Rescue Your Love Life—so you and your mate can recapture the fun, happiness, and romance you deserve.
A supplementary textbook for a graduate or advanced undergraduate course dealing with moral psychology. It looks at implications of and problems with theories of moral development put forward by Lawrence Kohlberg and Martin L. Hoffman. Annotation (c) Book News, Inc., Portland, OR (booknews.com).
RCRA Regulations and& Keyword Index, 2016 Edition contains an indexed compilation of the federal hazardous waste regulations, which implement the Resource Conservation and Recovery Act (RCRA). It is designed to make the federal hazardous waste regulations more usable. RCRA Regulations and& Keyword Index, 2016 Edition is composed of individual chapters that cover all of the major andquot;Partsandquot; of the RCRA regulations. Each of these chapters begins with a brief overview of the regulations that are discussed in the chapter and a summary of the changes made during the previous year.
Gain expert guidance on how to successfully develop machine learning models in Python and build your own unique data platforms Key FeaturesGain a full understanding of the model production and deployment processBuild your first machine learning model in just five minutes and get a hands-on machine learning experienceUnderstand how to deal with common challenges in data science projectsBook Description Where there’s data, there’s insight. With so much data being generated, there is immense scope to extract meaningful information that’ll boost business productivity and profitability. By learning to convert raw data into game-changing insights, you’ll open new career paths and opportunities. The Data Science Workshop begins by introducing different types of projects and showing you how to incorporate machine learning algorithms in them. You’ll learn to select a relevant metric and even assess the performance of your model. To tune the hyperparameters of an algorithm and improve its accuracy, you’ll get hands-on with approaches such as grid search and random search. Next, you’ll learn dimensionality reduction techniques to easily handle many variables at once, before exploring how to use model ensembling techniques and create new features to enhance model performance. In a bid to help you automatically create new features that improve your model, the book demonstrates how to use the automated feature engineering tool. You’ll also understand how to use the orchestration and scheduling workflow to deploy machine learning models in batch. By the end of this book, you’ll have the skills to start working on data science projects confidently. By the end of this book, you’ll have the skills to start working on data science projects confidently. What you will learnExplore the key differences between supervised learning and unsupervised learningManipulate and analyze data using scikit-learn and pandas librariesUnderstand key concepts such as regression, classification, and clusteringDiscover advanced techniques to improve the accuracy of your modelUnderstand how to speed up the process of adding new featuresSimplify your machine learning workflow for productionWho this book is for This is one of the most useful data science books for aspiring data analysts, data scientists, database engineers, and business analysts. It is aimed at those who want to kick-start their careers in data science by quickly learning data science techniques without going through all the mathematics behind machine learning algorithms. Basic knowledge of the Python programming language will help you easily grasp the concepts explained in this book.
This ambitious exposition by Malik and Mordeson on the fuzzification of discrete structures not only supplies a solid basic text on this key topic, but also serves as a viable tool for learning basic fuzzy set concepts "from the ground up" due to its unusual lucidity of exposition. While the entire presentation of this book is in a completely traditional setting, with all propositions and theorems provided totally rigorous proofs, the readability of the presentation is not compromised in any way; in fact, the many ex cellently chosen examples illustrate the often tricky concepts the authors address. The book's specific topics - including fuzzy versions of decision trees, networks, graphs, automata, etc. - are so well presented, that it is clear that even those researchers not primarily interested in these topics will, after a cursory reading, choose to return to a more in-depth viewing of its pages. Naturally, when I come across such a well-written book, I not only think of how much better I could have written my co-authored monographs, but naturally, how this work, as distant as it seems to be from my own area of interest, could nevertheless connect with such. Before presenting the briefest of some ideas in this direction, let me state that my interest in fuzzy set theory (FST) has been, since about 1975, in connecting aspects of FST directly with corresponding probability concepts. One chief vehicle in carrying this out involves the concept of random sets.
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