History carves its imprint on human lives for generations after. When we think of the radical changes that transformed America during the twentieth century, our minds most often snap to the fifties and sixties: the Civil Rights Movement, changing gender roles, and new economic opportunities all point to a decisive turning point. But these were not the only changes that shaped our world, and in Living on the Edge, we learn that rapid social change and uncertainty also defined the lives of Americans born at the turn of the twentieth century. The changes they cultivated and witnessed affect our world as we understand it today. Drawing from the iconic longitudinal Berkeley Guidance Study, Living on the Edge reveals the hopes, struggles, and daily lives of the 1900 generation. Most surprising is how relevant and relatable the lives and experiences of this generation are today, despite the gap of a century. From the reorganization of marriage and family roles and relationships to strategies for adapting to a dramatically changing economy, the challenges faced by this earlier generation echo our own time. Living on the Edge offers an intimate glimpse into not just the history of our country, but the feelings, dreams, and fears of a generation remarkably kindred to the present day.

Hailed by national leaders as politically diverse as former Vice President Al Gore and former House Speaker Newt Gingrich, Generations has been heralded by reviewers as a brilliant, if somewhat unsettling, reassessment of where America is heading. William Strauss and Neil Howe posit the history of America as a succession of generational biographies, beginning in 1584 and encompassing every-one through the children of today. Their bold theory is that each generation belongs to one of four types, and that these types repeat sequentially in a fixed pattern. The vision of Generations allows us to plot a recurring cycle in American history -- a cycle of spiritual awakenings and secular crises -- from the founding colonists through the present day and well into this millenium. Generations is at once a refreshing historical narrative and a thrilling intuitive leap that reorders not only our history books but also our expectations for the twenty-first century.

The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry Comprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry describes the proven and promising digital technologies and tools available to empower the oil and gas industry to be future-ready. It shows how the widely reported limitations of the oil and gas industry are being nullified through the application of breakthrough digital technologies and how the convergence of digital technologies helps create new possibilities and opportunities to take this industry to its next level. The text demonstrates how scores of proven digital technologies, especially in AI, are useful in elegantly fulfilling complicated requirements such as process optimization, automation and orchestration, real-time data analytics, productivity improvement, employee safety, predictive maintenance, yield prediction, and accurate asset management for the oil and gas industry. The text differentiates and delivers sophisticated use cases for the various stakeholders, providing easy-to-understand information to accurately utilize proven technologies towards achieving real and sustainable industry transformation. The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry includes information on: How various machine and deep learning (ML/DL) algorithms, the prime modules of AI, empower AI systems to deliver on their promises and potential Key use cases of computer vision (CV) and natural language processing (NLP) as they relate to the oil and gas industry Smart leverage of AI, the Industrial Internet of Things (IIoT), cyber physical systems, and 5G communication Event-driven architecture (EDA), microservices architecture (MSA), blockchain for data and device security, and digital twins Clearly expounding how the power of AI and other allied technologies can be meticulously leveraged by the oil and gas industry, The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry is an essential resource for students, scholars, IT professionals, and business leaders in many different intersecting fields.

By 2010, 30 percent of the U.S. population will be over age 50. Even today, the over-50 segment has $750 billion in spending power and controls a majority of the nation's assets. The generation's front-runners are Leading-Edge Baby Boomers, founders of modern youth culture and then yuppie materialism. These early Boomers have proven that they don't just occupy life stages -- they transform them. Now this influential generation is roaring into retirement and shaping a new future. They deserve -- and will amply reward -- your marketing investment. The paperback edition presents stimulating chapters that will show you:-Critical "bipolar metavalues" that influence the buying behavior of Leading-Edge Baby Boomers-Select the right advertising media to achieve your marketing goals-LOHAS: a new lifestyle segment that's changing everything-How to plan and organize "bandwagon" Boomer events and promotions-Exceptional opportunities for reaching Boomers through the InternetPer Brent Green, reading this book promises something beyond an insightful and challenging analysis of a generation moving into retirement. You will discover some original ideas about how the Baby Boom is shaping the future. What happens next will be interesting, if not tumultuous.

Everything you need to harness Millennial potential Managing Millennials For Dummies is the field guide to people-management in the modern workplace. Packed with insight, advice, personal anecdotes, and practical guidance, this book shows you how to manage your Millennial workers and teach them how to manage themselves. You'll learn just what makes them tick—they're definitely not the workers of yesteryear—and how to uncover the deeply inspirational talent they have hiding not far below the surface. Best practices and proven strategies from Google, Netflix, LinkedIn, and other top employers provide real-world models for effective management, and new research on first-wave versus second-wave Millennials helps you parse the difference between your new hires and more experienced workers. You'll learn why flex time, social media, dress code, and organizational structure are shifting, and answer the all-important question: why won't they use the phone? Millennials are the product of a different time, with different values, different motivations, and different wants—and in the U.S., they now make up the majority of the workforce. This book shows you how to bring out their best and discover just how much they're really capable of. Learn how Millennials are changing the way work gets done Understand new motivations, attitudes, values, and drive Recruit, motivate, engage, and retain incredible emerging talent Discover the keys to optimal Millennial management The pop culture narrative would have us believe that Millennials are entitled, lazy, spoiled brats—but the that couldn't be further from the truth. They are the generation of change: highly adaptive, bright, and quick to take on a challenge. Like any generation of workers, performance lies in management—if you're not getting what you need from your Millennials, it's time to learn how to lead them the way they need to be led. Managing Millennials For Dummies is your handbook for allowing them to exceed your expectations.

This book constitutes the thoroughly refereed post-workshop proceedings of the 11th International Workshop on Rewriting Logic and its Applications, WRLA 2016, held as a satellite event of ETAPS 2016, in Eindhoven, The Netherlands, in April 2016. The 8 revised full papers presented together with 2 invited papers and 3 abstracts were carefully reviewed and selected from 14 submissions. The papers cover several topics such as: foundations; rewriting as a logical and semantic framework; rewriting languages; verification techniques; and applications.

This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real-world problems. Diverse subdomains ranging from indoor mapping and navigation over trajectory computing to earth observation from space, are also present in this handbook. It combines fundamental contributions focusing on spatio-textual analysis, uncertain databases, and spatial statistics with application examples such as road network detection or colocation detection using GPUs. In summary, this handbook gives an essential introduction and overview of the rich field of spatial information science and big geospatial data. It introduces three different perspectives, which together define the field of big geospatial data: a societal, governmental, and governance perspective. It discusses questions of how the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary spatial data with contributions introducing into the exciting field of spatial statistics or into uncertain databases. A third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data. This would include for example, research in historic map data, road network extraction, damage estimation from remote sensing imagery, or the analysis of spatio-textual collections and social media. This multi-disciplinary approach makes the book unique. This handbook can be used as a reference for undergraduate students, graduate students and researchers focused on big geospatial data. Professionals can use this book, as well as practitioners facing big collections of geospatial data.