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“Mine” is one of the first words babies learn, and by the time we grow up, the idea of ownership seems natural, whether we are buying a cup of coffee or a house. But who controls the space behind your airplane seat: you, reclining, or the squished laptop user behind you? Why is plagiarism wrong, but it’s okay to knock off a recipe or a dress design? And after a snowstorm, why does a chair in the street hold your parking space in Chicago, while in New York you lose both the space and the chair? In Mine!, Michael Heller and James Salzman, two of the world’s leading authorities on ownership, explain these puzzles and many more. Remarkably, they reveal, there are just six simple rules that everyone uses to claim everything. Owners choose the rule that steers us to do what they want. But we can pick differently. This is true not just for airplane seats, but also for battles over digital privacy, climate change, and wealth inequality. Mine! draws on mind-bending, often infuriating, and always fascinating accounts from business, history, courtrooms, and everyday life to reveal how the rules of ownership control our lives and shape our world.
Ohio State University brought us together, fused us, catalyzed us. In its shadow, we dwelt within the possibility that it promised. Tumultuous and passionate, tragic yet redemptive, this fearless memoir reveals the power of abiding love.
Today's best practice in environmental mine-waste management requires a thorough understanding of the wastes produced. The knowledge of mine wastes represents a new interdisciplinary science and this book provides an introductory, descriptive and analytic overview of the wastes produced in the mineral industry. It describes the characterization, prediction, monitoring, disposal and treatment as well as environmental impacts. Intended for undergraduate courses, it systematically builds the reader’s understanding and knowledge of the wastes produced, their physical and chemical characteristics, and how to deal responsibly with them on a short and long-term basis. The text employs 22 case studies spanning the world’s mineral industry that elucidate best practice and specific challenges in mine-waste management and site rehabilitation.
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
In Improbable Scholars, David L. Kirp challenges the conventional wisdom about public schools and education reform in America through an in-depth look at Union City, New Jersey's high-performing urban school district. In this compelling study, Kirp reveals Union's city's revolutionary secret: running an exemplary school system doesn't demand heroics, just hard and steady work.
Under the Song Dynasty, China experienced rapid commercial growth and monetization of the economy. In the same period, the austere ethical turn that led to neo-Confucianism was becoming increasingly prevalent in the imperial bureaucracy and literati culture. Tracing the influences of these trends in Chinese intellectual history, All Mine! explores the varied ways in which eleventh-century writers worked through the conflicting values of this new world. Stephen Owen contends that in the new money economy of the Song, writers became preoccupied with the question of whether material things can bring happiness. Key thinkers returned to this problem, weighing the conflicting influences of worldly possessions and material comfort against Confucian ideology, which locates true contentment in the Way and disdains attachment to things. In a series of essays, Owen examines the works of writers such as the prose master Ouyang Xiu, who asked whether tranquility could be found in the backwater to which he had been exiled; the poet and essayist Su Dongpo, who was put on trial for slandering the emperor; and the historian Sima Guang, whose private garden elicited reflections on private ownership. Through strikingly original readings of major eleventh-century figures, All Mine! inquires not only into the material conditions of happiness but also the broader conditions of knowledge.
A forceful reckoning with the relationship between energy and power through the history of what was once East Asia’s largest coal mine. The coal-mining town of Fushun in China’s Northeast is home to a monstrous open pit. First excavated in the early twentieth century, this pit grew like a widening maw over the ensuing decades, as various Chinese and Japanese states endeavored to unearth Fushun’s purportedly “inexhaustible” carbon resources. Today, the depleted mine that remains is a wondrous and terrifying monument to fantasies of a fossil-fueled future and the technologies mobilized in attempts to turn those developmentalist dreams into reality. In Carbon Technocracy, Victor Seow uses the remarkable story of the Fushun colliery to chart how the fossil fuel economy emerged in tandem with the rise of the modern technocratic state. Taking coal as an essential feedstock of national wealth and power, Chinese and Japanese bureaucrats, engineers, and industrialists deployed new technologies like open-pit mining and hydraulic stowage in pursuit of intensive energy extraction. But as much as these mine operators idealized the might of fossil fuel–driven machines, their extractive efforts nevertheless relied heavily on the human labor that those devices were expected to displace. Under the carbon energy regime, countless workers here and elsewhere would be subjected to invasive techniques of labor control, ever-escalating output targets, and the dangers of an increasingly exploited earth. Although Fushun is no longer the coal capital it once was, the pattern of aggressive fossil-fueled development that led to its ascent endures. As we confront a planetary crisis precipitated by our extravagant consumption of carbon, it holds urgent lessons. This is a groundbreaking exploration of how the mutual production of energy and power came to define industrial modernity and the wider world that carbon made.
Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
As computer power grows and data collection technologies advance, a plethora of data is generated in almost every field where computers are used. The com puter generated data should be analyzed by computers; without the aid of computing technologies, it is certain that huge amounts of data collected will not ever be examined, let alone be used to our advantages. Even with today's advanced computer technologies (e. g. , machine learning and data mining sys tems), discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Taking its simplest form, raw data are represented in feature-values. The size of a dataset can be measUJ·ed in two dimensions, number of features (N) and number of instances (P). Both Nand P can be enormously large. This enormity may cause serious problems to many data mining systems. Feature selection is one of the long existing methods that deal with these problems. Its objective is to select a minimal subset of features according to some reasonable criteria so that the original task can be achieved equally well, if not better. By choosing a minimal subset offeatures, irrelevant and redundant features are removed according to the criterion. When N is reduced, the data space shrinks and in a sense, the data set is now a better representative of the whole data population. If necessary, the reduction of N can also give rise to the reduction of P by eliminating duplicates.