Here, she explores the opposite impulse, one that has been so effectively suppressed that we lack even a term for it: the desire for collective joy, historically expressed in ecstatic revels of feasting, costuming, and dancing.Ehrenreich uncovers the origins of communal celebration in human biology and culture. Although sixteenth-century Europeans viewed mass festivities as foreign and "savage," Ehrenreich shows that they were indigenous to the West, from the ancient Greeks' worship of Dionysus to the medieval practice of Christianity as a "danced religion." Ultimately, church officials drove the festivities into the streets, the prelude to widespread reformation: Protestants criminalized carnival, Wahhabist Muslims battled ecstatic Sufism, European colonizers wiped out native dance rites. The elites' fear that such gatherings would undermine social hierarchies was justified: the festive tradition inspired French revolutionary crowds and uprisings from the Caribbean to the American plains. Yet outbreaks of group revelry persist, as Ehrenreich shows, pointing to the 1960s rock-and-roll rebellion and the more recent "carnivalization" of sports. Original, exhilarating, and deeply optimistic, "Dancing in the Streets" concludes that we are innately social beings, impelled to share our joy and therefore able to envision, even create, a more peaceable future.

     Today, encyclopedias, jetliners, operating systems, mutual funds, and many other items are being created by teams numbering in the thousands or even millions. While some leaders fear the heaving growth of these massive online communities, Wikinomics proves this fear is folly. Smart firms can harness collective capability and genius to spur innovation, growth, and success. A brilliant guide to one of the most profound changes of our time, Wikinomics challenges our most deeply-rooted assumptions about business and will prove indispensable to anyone who wants to understand competitiveness in the twenty-first century. Based on a $9 million research project led by bestselling author Don Tapscott, Wikinomics shows how masses of people can participate in the economy like never before. They are creating TV news stories, sequencing the human genome, remixing their favorite music, designing software, finding a cure for disease, editing school texts, inventing new cosmetics, or even building motorcycles. You'll read about: • Rob McEwen, the Goldcorp, Inc. CEO who used open source tactics and an online competition to save his company and breathe new life into an old-fashioned industry. • Flickr, Second Life, YouTube, and other thriving online communities that transcend social networking to pioneer a new form of collaborative production. • Mature companies like Procter & Gamble that cultivate nimble, trust-based relationships with external collaborators to form vibrant business ecosystems. An important look into the future, Wikinomics will be your road map for doing business in the twenty-first century.

    We are so eager to do everything digitally--hiring, driving, paying bills, even choosing romantic partners--that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology--and issues a warning that we should never assume that computers always get things right.Making a case against technochauvinism--the belief that technology is always the solution--Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding "the cyborg future is not coming any time soon"; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.

    In 2007, Janet Belsky's "Experiencing the Lifespan" was published to widespread instructor and student acclaim, ultimately winning the 2008 Textbook Excellence Award from the Text and Academic Authors Association. Now that breakthrough text returns in a rigorously updated edition that explores the lifespan by combining the latest research with a practicing psychologist's understanding of people, and a teacher's understanding of students and classroom dynamics. And again, all of this in the right number of pages to fit comfortably in a single term course.

    With a new introduction, three new chapters, modernized language and methods throughout, and an appendix of challenging and enjoyable practice problems, Calculus Made Easy has been thoroughly updated for the modern reader.

    . . deeply, intimately, totally violated" by a music community that had fundamentally misinterpreted his work. As a profound admirer of Chopin's "promenade of discoveries," Gide intersperses musical notation throughout the text to illuminate his arguments, but most moving is Gide's own poetic expression for the music he so loved.

    Texting while driving. Binge-drinking. Bullying. Unprotected sex. There are plenty of reasons for parents to worry about getting a late-night call about their teen. But most of the advice parents and educators hear about teens is outdated and unscientific--and based on the rates of teen pregnancy, accidents, addiction, and more.Acclaimed adolescent psychiatrist Jess P. Shatkin brings more than two decades' worth of research and clinical experience to the subject, along with cutting-edge findings from brain science, evolutionary psychology, game theory, and other disciplines -- plus a widely curious mind and the perspective of a concerned dad.Using science and stories, fresh analogies, clinical anecdotes, and research-based observations, Shatkin explains: Why "scared straight," adult logic, and draconian punishment don't work. Why the teen brain is "born to be wild"--shaped by evolution to explore and take risks.The surprising role of brain development, hormones, peer pressure, screen time, and other key factors.What parents and teachers can do--in everyday interactions, teachable moments, and specially chosen activities and outings--to work with teens' need for risk, rewards and social acceptance, not against it.

    Issues of race, ethnicity, class, gender, sexual orientation, and ability often complicate this question for youth, affecting their schoolwork and their relationships with teachers, administrators, and peers.Adolescents at School gives educators, administrators, community leaders, counselors, social workers, health-care professionals, and parents a glimpse into the complex "identities" adolescents negotiate as they manage the challenges of school. The book contains the perspectives of teachers, researchers, and administrators and adolescents themselves who explore what it means to be a middle or high school student in the United States today. Practical and jargon-free, the book suggests ways to foster the success of every student in our schools and classrooms.

    Feynman gave his famous course on computation at the California Institute of Technology, he asked Tony Hey to adapt his lecture notes into a book. Although led by Feynman, the course also featured, as occasional guest speakers, some of the most brilliant men in science at that time, including Marvin Minsky, Charles Bennett, and John Hopfield. Although the lectures are now thirteen years old, most of the material is timeless and presents a “Feynmanesque” overview of many standard and some not-so-standard topics in computer science such as reversible logic gates and quantum computers.

    Was he drunk to boot? He greeted his new assistant with "What are you drinking?" Yes, he was drunk.Charlie Harmon was hired to manage the day-to-day parts of Bernstein's life. There was one additional responsibility: make sure Bernstein met the deadline for an opera commission. But things kept getting in the way: the centenary of Igor Stravinsky, intestinal parasites picked up in Mexico, teaching all summer in Los Angeles, a baker's dozen of young men, plus depression, exhaustion, insomnia, and cut-throat games of anagrams. Did the opera get written?For four years, Charlie saw Bernstein every day, as his social director, gatekeeper, valet, music copyist, and itinerant orchestra librarian. He packed (and unpacked) Bernstein's umpteen pieces of luggage, got the Maestro to his concerts, kept him occupied changing planes in Zurich, Anchorage, Tokyo, or Madrid, and learned how to make small talk with mayors, ambassadors, a chancellor, a queen, and a Hollywood legend or two. How could anyone absorb all those people and places? Because there was music: late-night piano duets, or the Maestro's command to accompany an audition, or, by the way, the greatest orchestras in the world. Charlie did it, and this is what it was like, told for the first time.A celebratory, intimate, and detailed look at the public and private life of Leonard Bernstein written by his former assistant. Foreword by Broadway legend Harold Prince.

    What began more than sixty years ago as a modest proposal that a mathematician and an economist write a short paper together blossomed, in 1944, when Princeton University Press published Theory of Games and Economic Behavior. In it, John von Neumann and Oskar Morgenstern conceived a groundbreaking mathematical theory of economic and social organization, based on a theory of games of strategy. Not only would this revolutionize economics, but the entirely new field of scientific inquiry it yielded--game theory--has since been widely used to analyze a host of real-world phenomena from arms races to optimal policy choices of presidential candidates, from vaccination policy to major league baseball salary negotiations. And it is today established throughout both the social sciences and a wide range of other sciences.This sixtieth anniversary edition includes not only the original text but also an introduction by Harold Kuhn, an afterword by Ariel Rubinstein, and reviews and articles on the book that appeared at the time of its original publication in the New York Times, tthe American Economic Review, and a variety of other publications. Together, these writings provide readers a matchless opportunity to more fully appreciate a work whose influence will yet resound for generations to come.

    Through them we are able to uncover new information concerning the genetic and environmental factors affecting who we are. Studies using identical and fraternal twins hold the keys to understanding our intellectual abilities, personality traits, social attitudes, and behavior. In Entwined Lives, Dr. Nancy Segal brings together cutting-edge information with illustrative case histories of twins and their families. In addition to the fascinating stories of identical twins reared apart and reunited as adults, Dr. Segal provides insights into the unusual language patterns of twins, how twin studies affect legal decisions, the role of fertility treatments in twin and "twinlike" conceptions, and more. This groundbreaking book explores the ways in which twins enhance our knowledge of human behavioral and physical development, while shedding new light on the nature/nurture debate and on the burgeoning field of evolutionary psychology.

    Vivid photos capture these historically important machinesincluding the Eniac, Crays 13, Apple I and IIwhile authoritative text profiles each, telling the stories of their innovations and peculiarities. Thirty-five machines are profiled in over 100 extraordinary color photographs, making Core Memory a surprising addition to the library of photography collectors and the ultimate geek-chic gift.

    For a century, the lock of hair was a treasured Hiller family relic, until it somehow found its way to the town of Gilleleje, in Nazi-occupied Denmark. There, it was given to a local doctor, Kay Fremming, who was deeply involved in the effort to help save hundreds of hunted and frightened Jews.After Fremming's death, his daughter assumed ownership of the lock, and eventually consigned it for sale at Sotheby's, where two American Beethoven enthusiasts, Ira Brilliant and Che Guevara, purchased it in 1994. Subsequently, they and others instituted a series of complex forensic tests in the hope of finding the probable causes of the composer's chronically bad health, his deafness, and the final demise that Ferdinand Hiller had witnessed all those years ago. The results, revealed for the first time here, are the most compelling explanation yet offered for why one of the foremost musicians the world has ever known was forced to spend much of his life in silence.In Beethoven's Hair, Russell Martin has created a rich historical treasure hunt, a tale of false leads, amazing breakthroughs, and incredible revelations. This unique and fascinating book is a moving testament to the power of music, the lure of relics, the heroism of the Resistance movement, and the brilliance of molecular science.

    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