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Titlebook: Nanotechnology and the Challenges of Equity, Equality and Development; Susan E. Cozzens,Jameson Wetmore Book 2011 Springer Science+Busines

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書(shū)目名稱(chēng)Nanotechnology and the Challenges of Equity, Equality and Development
編輯Susan E. Cozzens,Jameson Wetmore
視頻videohttp://file.papertrans.cn/662/661084/661084.mp4
概述Societal key issues in emerging technology 2..Includes practical advice for avoiding negative social consequences 3..Perspectives on gender, race/ethnicity, and ability status 4..Nanotechnology in eme
叢書(shū)名稱(chēng)Yearbook of Nanotechnology in Society
圖書(shū)封面Titlebook: Nanotechnology and the Challenges of Equity, Equality and Development;  Susan E. Cozzens,Jameson Wetmore Book 2011 Springer Science+Busines
描述.Nanotechnology is enabling applications in materials, microelectronics, health, and agriculture, which are projected to create the next big shift in production, comparable to the industrial revolution. Such major shifts always co-evolve with social relationships. This book focuses on how nanotechnologies might affect equity/equality in global society. Nanotechnologies are likely to open gaps by gender, ethnicity, race, and ability status, as well as between developed and developing countries, unless steps are taken now to create a different outcome. Organizations need to change their practices, and cultural ideas must be broadened if currently disadvantaged groups are to have a more equal position in nano-society rather than a more disadvantaged one. Economic structures are likely to shift in the nano-revolution, requiring policymakers and participatory processes to invent new institutions for social welfare, better suited to the new economic order than those of the past..
出版日期Book 2011
關(guān)鍵詞ableism; developing countries; emerging technology/ emerging technologies; gender; global South; nanomedi
版次1
doihttps://doi.org/10.1007/978-90-481-9615-9
isbn_softcover978-94-007-3383-1
isbn_ebook978-90-481-9615-9
copyrightSpringer Science+Business Media B.V. 2011
The information of publication is updating

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nd experimental results to support the theoretical concepts This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established an
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Georgia Miller,Gyorgy Scriniswithin a number of different samples. An important application of microarray gene expression data in functional genomics is to classify samples according to their gene expression profiles. Among the large amount of genes present in microarray gene expression data, only a small fraction of them is ef
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