Numerous examples throughout the book show students what should and should not be done when writing reviews.- Emphasizes critical analysis of reports of empirical research in academic journals--making it ideal as a supplement for research methods courses. This book makes it possible for students to work independently on a critical literature review as a term project.- Nine model literature reviews at the end of the book provide the stimulus for homework assignments and classroom discussions.- The activities at the end of each chapter keep students moving toward their goal of writing a polished, professional review of academic literature.- Most examples include material from recently published research. Includes nine model literature reviews for discussion and evaluation.Table of ContentsChapters1 Writing Reviews of Academic Literature: An Overview2 Considerations in Writing Reviews for Specific Purposes3 Selecting a Topic and Identifying Literature for Review4 General Guidelines for Analyzing Literature5 Analyzing Quantitative Research Literature6 Analyzing Qualitative Research Literature7 Building Tables to Summarize Literature8 Synthesizing Literature Prior to Writing a Review9 Guidelines for Writing a First Draft10 Guidelines for Developing a Coherent Essay11 Guidelines on Style, Mechanics, and Language Usage12 Incorporating Feedback and Refining the First Draft13 Preparing a Reference List14 Comprehensive Self-Editing Checklist for Refining the Final DraftModel Literature Reviews for Discussion and EvaluationReview A: Cyberbullying Among College StudentsJournal of School ViolenceReview B: Waterpipe Smoking Among College Students in the United StatesJournal of American College HealthReview C: The Effect of Student Discussion Frequency on Mathematics AchievementThe Journal of Experimental EducationReview D: Behaviors in Couples With a History of InfidelityJournal of Family PsychologyReview E: The Prevalence of Stalking Among College StudentsJournal of American College HealthReview F: School Social Workers' Experiences With Youth Suicidal BehaviorChildren & SchoolsReview G: Demographic and Academic Trends in Drinking Patterns and Alcohol-Related ProblemsJournal of Alcohol and Drug EducationReview H: Overnight Stays and Children's Relationships With Resident and Nonresident Parents After DivorceJournal of Family IssuesReview I: Language Brokering: An Integrative Review of the LiteratureHispanic Journal of Behavioral SciencesProfessor Reviews"Students have found Writing "Literature reviews one of the most helpful books.... Even students not in the course have gone to the bookstore looking for this book."-- Kathleen N. Bondy, University of Central Arkansas"Lucid, readable, and concise. Excellent detailed table of contents. Good full-length examples of literature reviews."-- Paul K. Dezendorf, East Carolina University"Excellent. A concise, 'task analytic' presentation of the complex steps necessary in writing literature reviews."-- Tom Cooke, Sonoma State University"Readable, concise, clear overview of the subject. My students rave about it. One said, 'I will keep this book for my whole master's [in nursing] program.'"-- Madge M. D

    But even though Moravec predicts the end of the domination by human beings, his is not a bleak vision. Far from railing against a future in which machines rule the world, Moravec embraces it, taking the startling view that intelligent robots will actually be our evolutionary heirs. Intelligent machines, which will grow from us, learn our skills, and share our goals and values, can be viewed as children of our minds. And since they are our children, we will want them to outdistance us. In fact, in a bid for immortality, many of our descendants will choose to transform into ex humans, as they upload themselves into advanced computers.This provocative new book, the highly anticipated follow-up to his bestselling volume Mind Children, charts the trajectory of robotics in breathtaking detail. A must read for artificial intelligence, technology, and computer enthusiasts, Moravec's freewheeling but informed speculations present a future far different than we ever dared imagine.

    Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. Richly illustrated, Complexity: A Guided Tour--winner of the 2010 Phi Beta Kappa Book Award in Science--offers a wide-ranging overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for its contribution to solving some of the most important scientific questions of our time.

    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.

    Some years before that, in 1977, Eco published a little book for his students, "How to Write a Thesis," in which he offered useful advice on all the steps involved in researching and writing a thesis -- from choosing a topic to organizing a work schedule to writing the final draft. Now in its twenty-third edition in Italy and translated into seventeen languages, "How to Write a Thesis "has become a classic. Remarkably, this is its first, long overdue publication in English.Eco's approach is anything but dry and academic. He not only offers practical advice but also considers larger questions about the value of the thesis-writing exercise. "How to Write a Thesis" is unlike any other writing manual. It reads like a novel. It is opinionated. It is frequently irreverent, sometimes polemical, and often hilarious. Eco advises students how to avoid "thesis neurosis" and he answers the important question "Must You Read Books?" He reminds students "You are not Proust" and "Write everything that comes into your head, but only in the first draft." Of course, there was no Internet in 1977, but Eco's index card research system offers important lessons about critical thinking and information curating for students of today who may be burdened by Big Data."How to Write a Thesis" belongs on the bookshelves of students, teachers, writers, and Eco fans everywhere. Already a classic, it would fit nicely between two other classics: "Strunk and White" and "The Name of the Rose."This MIT Press edition will be available in three different cover colors.ContentsThe Definition and Purpose of a ThesisChoosing the TopicConducting ResearchThe Work Plan and the Index CardsWriting the ThesisThe Final Draft

    Non-fiction, writing, how-to book.

    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    

    Can you imagine Draupadi in a Brothel house? How did she end there and who is responsible for that? Read this short story to meet her and know about her life.

    Viņus aizrauj savdabīga sacensība, mēģinot notvert noslēpumainu autobusiņu, kurš spēj kliedēt cilvēku negatīvās emocijas. Taču sacensība ir tikai iegansts, kas ceļ gaismā gan pastāvošās iekārtas netaisnību, gan jauniešu sarežģītās attiecības – konkurenci, brāļu naidu, pirmo mīlestību...Sākas aizraujoši piedzīvojumi, kurus vada neapslāpējama cerība izmainīt pastāvošo...-------------------------------------------------------------------------Year 2101. After the devastating economic crisis of 2009, countries throughout the world have merged sprawling metropolises to avoid bankruptcy. Amidst them is Liberty, also known as Dust City. For almost 50 years it has been governed by a multi-corporation Genom X, which protects its citizens and exterminates the illegal inhabitants.For as long as everyone can remember, a blue-green van has been patrolling the streets of Dust City. Its purpose, destination and the identity of the driver are unknown. Wherever it appears, people feel happier. Some of the illegals have formed car racing teams to see who can get the closest to the van.Avery Cross is part of such a team. She thinks nothing of it. Because of the van's powers, nobody intends to harm it. The race is just a way to kill time... Or at least it was, until Avery's brother Brandon decides to catch the van – this time for real. Furious, Avery leaves her friends and joins the losing team with the purpose to help them win and make Brandon listen to reason. But what started as a harmless car race reveals a completely new and ugly face of the metropolis, and Avery may have a more significant role to play than she could ever imagine.

    

    It is also the only up-to-date survey of literary theory that devotes extensive treatment to Queer Theory and Postcolonial and Race Studies. How to Interpret Literature, Second Edition, is ideal as either a stand-alone text or in conjunction with an anthology of primary readings such as Robert Dale Parker's Critical Theory: A Reader for Literary and Cultural Studies.DISTINCTIVE FEATURES* Uses a conversational and engaging tone that speaks directly to today's students* Covers a variety of theoretical schools--including New Criticism, Structuralism, Deconstruction, Psychoanalysis, Feminism, and Marxism--weaving connections among chapters to show how these different movements respond to and build on each other* Offers a rich assortment of pedagogical features (charts, text boxes that address frequently asked questions, photos, and a bibliography)

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    Barzun and Graff thoroughly cover every aspect of research, from the selection of a topic through the gathering, analysis, writing, revision, and publication of findings presenting the process not as a set of rules but through actual cases that put the subtleties of research in a useful context. Part One covers the principles and methods of research; Part Two covers writing, speaking, and getting one's work published.

    In Words and Rules, Steven Pinker explains the mysteries of language by examining a single construction from a dozen viewpoints, proposing that the essence of language is a mental dictionary of memorized words, and a mental grammar of creative rules.