eBook downloads, eBook resources & eBook authors
This handy guide provides all the commonly used, but rarely memorized information you need in both the front and back office—from normal lab values and common medical abbreviations to dosage calculations, triage questions, and more.
Features study plans for SAT test takers, including a two month plan, one month plan, and a one week plan, as well as a full length practice test with answers and detailed explanations.
A Davis’s Notes book. Content review plus Q&A…perfect every time, every place, everywhere! Prepare for the NCLEX wherever you are—at home, in the library, or on the bus. Here are the tips, strategies, techniques, and content you need—all in one pocket-sized resource. You'll review all major content areas while you hone your test-taking techniques. An access code inside unlocks 850 questions online at DavisPlus, with answers and rationales for correct and incorrect responses. See what students are saying about the previous edition…YES, YOU NEED THIS!!!! “This item was AWESOME, compact, and perfect for my studying. I passed on my first attempt! I highly recommend this little goody for all the soon to be RNs who are freaking out over their NCLEX appointment dates!” I found this to be a very useful pocket guide to keep in my purse. “I found this to be a very useful pocket guide to keep in my purse, and used it to study when I had down time. There was great information in there and I would recommend it.” “Overall, very useful. Was able to get thru most of it before my NCLEX. I passed and am thankful to this book. Good luck!”
REA's MAXnotes for Margaret Mitchell's Gone with the Wind MAXnotes offer a fresh look at masterpieces of literature, presented in a lively and interesting fashion. Written by literary experts who currently teach the subject, MAXnotes will enhance your understanding and enjoyment of the work. MAXnotes are designed to stimulate independent thought about the literary work by raising various issues and thought-provoking ideas and questions. MAXnotes cover the essentials of what one should know about each work, including an overall summary, character lists, an explanation and discussion of the plot, the work's historical context, illustrations to convey the mood of the work, and a biography of the author. Each chapter is individually summarized and analyzed, and has study questions and answers.
This book describes experiments in innovation, design, and democracy, undertaken largely by grassroots organizations, non-governmental organizations, and multi-ethnic working-class neighborhoods. These stories challenge the dominant perception of what constitutes successful innovations. They recount efforts at social innovation, opening the production process, challenging the creative class, and expanding the public sphere. The cases considered include a collective of immigrant women who perform collaborative services, the development of an open-hardware movement, grassroots journalism, and hip-hop performances on city buses. They point to the possibility of democratized innovation that goes beyond solo entrepreneurship and crowdsourcing in the service of corporations to include multiple futures imagined and made locally by often-marginalized publics.
#1 NEW YORK TIMES BEST SELLER • In this urgent, authoritative book, Bill Gates sets out a wide-ranging, practical—and accessible—plan for how the world can get to zero greenhouse gas emissions in time to avoid a climate catastrophe. Bill Gates has spent a decade investigating the causes and effects of climate change. With the help of experts in the fields of physics, chemistry, biology, engineering, political science, and finance, he has focused on what must be done in order to stop the planet's slide to certain environmental disaster. In this book, he not only explains why we need to work toward net-zero emissions of greenhouse gases, but also details what we need to do to achieve this profoundly important goal. He gives us a clear-eyed description of the challenges we face. Drawing on his understanding of innovation and what it takes to get new ideas into the market, he describes the areas in which technology is already helping to reduce emissions, where and how the current technology can be made to function more effectively, where breakthrough technologies are needed, and who is working on these essential innovations. Finally, he lays out a concrete, practical plan for achieving the goal of zero emissions—suggesting not only policies that governments should adopt, but what we as individuals can do to keep our government, our employers, and ourselves accountable in this crucial enterprise. As Bill Gates makes clear, achieving zero emissions will not be simple or easy to do, but if we follow the plan he sets out here, it is a goal firmly within our reach.
Judith Butler elucidates the dynamics of public assembly under prevailing economic and political conditions. Understanding assemblies as plural forms of performative action, she extends her theory of performativity to show why precarity—destruction of the conditions of livability—is a galvanizing force and theme in today’s highly visible protests.
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
