The dialectical framework, integrated throughout the book, is used as a lens to examine the relationship of these research traditions. This text is unique in its emphasis on the importance of histories, popular culture, and identities.

    The first six chapters, originally published in the 1960s, made a groundbreaking contribution to linguistic theory. This edition complements them with an additional chapter and a new preface, bringing Chomsky's influential approach into the twenty-first century. Chapters 1-6 present Chomsky's early work on the nature and acquisition of language as a genetically endowed, biological system (Universal Grammar), through the rules and principles of which we acquire an internalized knowledge (I-language). Over the past fifty years, this framework has sparked an explosion of inquiry into a wide range of languages, and has yielded some major theoretical questions. The final chapter revisits the key issues, reviewing the 'biolinguistic' approach that has guided Chomsky's work from its origins to the present day, and raising some novel and exciting challenges for the study of language and mind.

    Jonathan Culler, an extremely lucid commentator and much admired in the field of literary theory, offers discerning insights into such theories as the nature of language and meaning, and whether literature is a form of self-expression or a method of appeal to an audience. Concise yet thorough, Literary Theory also outlines the ideas behind a number of different schools: deconstruction, semiotics, postcolonial theory, and structuralism, among others. From topics such as literature and social identity to poetry, poetics, and rhetoric, Literary Theory: A Very Short Introduction is a welcome guide for anyone interested in the importance of literature and the debates surrounding it.About the Series: Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life's most interesting topics. Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundreds of key topics, from philosophy to Freud, quantum theory to Islam.

    For advanced crafters, this book instructs on features such as modes and functions, and teaches how to create with color, texture, and dimension. A cutting guide teaches the perfect settings to cut every type of material. A separate chapter introduces the new features of Cricut Expression™ 2 and explains how it differs from the original Expression machine. More than 50 creative projects inspire ideas for home décor, gifts, parties, cards, and scrapbook layouts.

    No prior knowledge is assumed. The reader learns step-by-step, with each new point illustrated by clear examples. By the end of the book, the reader will be fully ready to take on opponents across the board, or on the Internet, and start winning.

    The New Yorker offers a signature mix of reporting and commentary on politics, international affairs, and the arts, along with fiction, poetry, humor, and cartoons. Founded in 1925, The New Yorker has received more National Magazine Awards than any other magazine. Notable work in recent years includes coverage of the war on terror by George Packer, Jane Mayer, Lawrence Wright, Steve Coll, and Seymour M. Hersh; reports from the front lines of the Middle East by Jon Lee Anderson, Dexter Filkins, and Wendell Steavenson; Malcolm Gladwell on "the tipping point"; Anthony Lane on movies; James Wood on books; Elizabeth Kolbert on the environment; Atul Gawande on health care; fiction by Jonathan Franzen, Edwidge Danticat, Zadie Smith, and Haruki Murakami; humor by David Sedaris and Andy Borowitz; and cartoons by Roz Chast.

    But as hundreds of new words are added annually, older ones are sacrificed. Now from the author of Forgotten English comes a collection of fascinating archaic words and phrases, providing an enticing glimpse into the past. With beguiling period illustrations, The Word Museum offers up the marvelous oddities and peculiar enchantments of old and unusual words.

    Written by a celebrated professor of psychiatry, this reader-friendly book uses evidence-based critiques and new research to point out where DSM-5 is right, where it is wrong, and where the jury's still out. Along the way, The Intelligent Clinician's Guide to the DSM-5(R) sifts through the many public controversies and clinical debates surrounding the drafting of the manual and shows how they inform a modern understanding of psychiatric illness, diagnosis and treatment. This book is necessary reading for all mental health professionals as they grapple with the first major revision of the DSM to appear in over 30 years.

    Over the years sports debates have become muddled by many myths that do not match the numbers generated by those playing the games. In The Wages of Wins, the authors use layman's language and easy to follow examples based on their own academic research to debunk many of the most commonly held beliefs about sports.In this updated version of their book, these authors explain why Allen Iverson leaving Philadelphia made the 76ers a better team, why the Yankees find it so hard to repeat their success from the late 1990s, and why even great quarterbacks like Brett Favre are consistently inconsistent. The book names names, and makes it abundantly clear that much of the decision making of coaches and general managers does not hold up to an analysis of the numbers. Whether you are a fantasy league fanatic or a casual weekend fan, much of what you believe about sports will change after reading this book.

    R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. * Accompanied by a website featuring worked examples, data sets, exercises and solutions: http: //www.imperial.ac.uk/bio/research/crawl... Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

    Metaphor, the authors explain, is a fundamental mechanism of mind, one that allows us to use what we know about our physical and social experience to provide understanding of countless other subjects. Because such metaphors structure our most basic understandings of our experience, they are "metaphors we live by", metaphors that can shape our perceptions and actions without our ever noticing them.In this updated edition of Lakoff and Johnson's influential book, the authors supply an afterword surveying how their theory of metaphor has developed within the cognitive sciences to become central to the contemporary understanding of how we think and how we express our thoughts in language.

    The anthology offers more poetry by women (40 new poets), with special attention to early women poets. The book also includes a greater diversity of American poetry, with double the number of poems by African American, Hispanic, native American and Asian American poets. There are 26 new poets representing the Commonwealth literature tradition: now included are more than 37 poets from Australia, New Zealand, Ireland, Scotland, Wales, the Caribbean, South Africa and India.

    

    

    Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions.Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more.Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.