Studies Related to the Charleston, South Carolina, Earthquake of 1886 PDF Download
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Author: Douglas W. Rankin
Publisher:
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Category : Charleston (S.C.)
Languages : en
Pages : 280
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Book Description
Author: Douglas W. Rankin
Publisher:
ISBN:
Category : Charleston (S.C.)
Languages : en
Pages : 280
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Book Description
Author: Idris Assani
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3111435504
Category : Mathematics
Languages : en
Pages : 156
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Book Description
This book grew out of the 2021 Chapel Hill Ergodic Theory Workshop (https://ergwork.web.unc.edu/schedule-of-talks-201/) during which young and senior researchers presented recent advances in ergodic theory and dynamical systems. Included are original research and survey articles devoted to various topics in Ergodic Theory and Dynamical Systems. Some are from presenters at this workshop. This book attracts young and senior researchers alike.
Author:
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Category : Journalism
Languages : en
Pages : 1334
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Category : United States
Languages : en
Pages : 758
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Author:
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Category : Railroads
Languages : en
Pages : 1892
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Category : Customs administration
Languages : en
Pages : 424
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Book Description
Author: Frank N. Schubert
Publisher: Government Printing Office
ISBN: 9780160429545
Category : History
Languages : en
Pages : 330
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Book Description
CMH Publication 70-30. Edited by Frank N. Schubert and TheresaL. Kraus. Discusses the United States Army's role in the Persian Gulf War from August 1990 to February 1991. Shows the various strands that came together to produce the army of the 1990s and how that army in turn performed under fire and in the glare of world attention. Retains a sense of immediacy in its approach. Contains maps which were carefully researched and compiled as original documents in their own right. Includes an index.
Author: Catherine D'Ignazio
Publisher: MIT Press
ISBN: 026254718X
Category : Social Science
Languages : en
Pages : 328
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Book Description
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.
Author: Nicholas Colangelo
Publisher:
ISBN:
Category :
Languages : en
Pages : 180
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Author:
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Category : Naval art and science
Languages : en
Pages : 564
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