Canaries in the Data Mine offers an account of the lived experiences and cultural expectations of young people growing up in digital environments increasingly owned by others and designed for profit. At the book’s core is a participatory research project that first interviewed New York City teens about their digital habits and then engaged a group of five young people in designing the prototypical platform of their time: a social network. In this engaging book, Gregory T. Donovan penetrates beyond the interface to consider the digital geography of contemporary youth, arguing that understanding what young people are grappling with portends what is, or will soon be, felt by society at large. Drawing from in-depth interviews and design workshops, he shows how informational capitalism is reproduced at an intimate scale as well as how involving young people in digital design can foster capacities for reworking and resisting the conditions of a rising rentier society.

Bitty is a canary whose courage more than makes up for his diminutive size. Of course, as a miner bird who detects deadly gas leaks in a West Virginia coal mine during the Depression, he is used to facing danger. Tired of perilous working conditions, he escapes and hops a coal train to the state capital to seek help in improving the plights of miners and their canaries. In the tradition of E.B. White, George Selden, and Beverly Cleary's Ralph S. Mouse, Madelyn Rosenberg has written a singular novel full of unforgettable characters.

One doctor's courageous fight to save a small town from a silent epidemic that threatened the community's future--and exposed a national health crisis. When Dr. Will Cooke, an idealistic young physician just out of medical training, set up practice in the small rural community of Austin, Indiana, he had no idea that much of the town was being torn apart by poverty, addiction, and life-threatening illnesses. But he soon found himself at the crossroads of two unprecedented health-care disasters: a national opioid epidemic and the worst drug-fueled HIV outbreak ever seen in rural America. Confronted with Austin's hidden secrets, Dr. Cooke decided he had to do something about them. In taking up the fight for Austin's people, however, he would have to battle some unanticipated foes: prejudice, political resistance, an entrenched bureaucracy--and the dark despair that threatened to overwhelm his own soul. Canary in the Coal Mine is a gripping account of the transformation of a man and his adopted community, a compelling and ultimately hopeful read in the vein of Hillbilly Elegy, Dreamland, and Educated.

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. - Written "By Practitioners for Practitioners" - Non-technical explanations build understanding without jargon and equations - Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models - Practical advice from successful real-world implementations - Includes extensive case studies, examples, MS PowerPoint slides and datasets - CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book

In 1884 a mine collapsed into itself. What was the dark substance found 666 feet underground? Blending modern horror, historical fact and Western lore, Scott Snyder and Dan Panosian have created a uniquely terrifying thriller with Canary. During the final days of the Gold Rush, one mining company in Utah pulled up radioactive Uranium, and then the mine then collapsed in on itself. Legends sprung up about the mine being cursed or even haunted. Now the Frontier is closed and the gold and silver mines have dried up. The country is becoming “civilized,” and yet, in one stretch of the Rocky Mountains, a terrifying, new kind of violence is suddenly emerging. Random killings. People going mad and murdering neighbors and classmates without real cause. When a schoolboy kills his teacher with a hatchet, a famous federal marshal named Azrael William Holt is called in to investigate the killings. What he and a brilliant young geologist uncover is stranger and more horrifying than anything they could have ever imagined.

Welcome to the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2009), held at the Indian Institute of Technology (IIT), Delhi, India, during December 15-18, 2009. RSFDGrC is a series of conferences spanning over the last 15 years. It investigates the me- ing points among the four major areas outlined in its title. This year, it was co-organized with the Third International Conference on Pattern Recognition and Machine Intelligence (PReMI 2009), which provided additional means for multi-facetedinteractionofboth scientists andpractitioners.Itwasalsothe core component of this year's Rough Set Year in India project. However, it remained a fully international event aimed at building bridges between countries. The ?rst sectin contains the invited papers and a short report on the abo- mentioned project. Let us note that all the RSFDGrC 2009 plenary speakers, Ivo Düntsch, Zbigniew Suraj, Zhongzhi Shi, Sergei Kuznetsov, Qiang Shen, and Yukio Ohsawa, contributed with the full-length articles in the proceedings. The remaining six sections contain 56 regular papers that were selected out of 130 submissions, each peer-reviewed by three PC members. We thank the authors for their high-quality papers submitted to this volume and regret that many deserving papers could not be accepted because of our urge to maintain strict standards. It is worth mentioning that there was quite a good number of papers on the foundations of rough sets and fuzzy sets, many of them authored byIndianresearchers.ThefuzzysettheoryhasbeenpopularinIndiaforalonger time. Now, we can see the rising interest in the rough set theory.

The Canary: Natural History, Science and Cultural Significance covers the ecology, evolution and conservation of the canary and related species, along with the history and cultural significance of the domestic canary worldwide and various scientific disciplines in which canaries have played a key role as a model species. The book synthesizes the multiple ways in which the canary and its relatives have been, and continue to be, an important scientific model in diverse areas and have influenced human culture. Each chapter is written by international experts in areas such as biogeography, animal behavior, evolutionary ecology, conservation, neurobiology, genetics, or ethnology. In covering this eclectic array of topics, while always focusing on the canary and its close relatives, this book uses the immense appeal of the canary as a vehicle to present notions of ecology, evolution, biodiversity conservation, and so on, to a wide audience. - Details all aspects of Crithagra and Serinus canaries as well as relatives like crossbills - Structured to begin with more accessible topics like natural history, domestication, and conservation - Closes with discussions of more specialized topics like evolution, neurobiology, behavior and genomics

The award-winning and surprisingly hopeful story of one woman's search for resiliency in a warming world Several years ago, ecologist Lauren E. Oakes set out from California for Alaska's old-growth forests to hunt for a dying tree: the yellow-cedar. With climate change as the culprit, the death of this species meant loss for many Alaskans. Oakes and her research team wanted to chronicle how plants and people could cope with their rapidly changing world. Amidst the standing dead, she discovered the resiliency of forgotten forests, flourishing again in the wake of destruction, and a diverse community of people who persevered to create new relationships with the emerging environment. Eloquent, insightful, and deeply heartening, In Search of the Canary Tree is a case for hope in a warming world.

Digital sky surveys, high-precision astrometry from satellite data, deep-space data from orbiting telescopes, and the like have all increased the quantity and quality of astronomical data by orders of magnitude per year for several years. Making sense of this wealth of data requires sophisticated statistical techniques. Fortunately, statistical methodologies have similarly made great strides in recent years. Powerful synergies thus emerge when astronomers and statisticians join in examining astrostatistical problems and approaches. The book begins with an historical overview and tutorial articles on basic cosmology for statisticians and the principles of Bayesian analysis for astronomers. As in earlier volumes in this series, research contributions discussing topics in one field are joined with commentary from scholars in the other. Thus, for example, an overview of Bayesian methods for Poissonian data is joined by discussions of planning astronomical observations with optimal efficiency and nested models to deal with instrumental effects. The principal theme for the volume is the statistical methods needed to model fundamental characteristics of the early universe on its largest scales.