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Titlebook: Reclaiming Africa; Scramble and Resista Sam Moyo,Praveen Jha,Paris Yeros Book 2019 Springer Nature Singapore Pte Ltd. 2019 Africa.Scramble.

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書目名稱Reclaiming Africa
副標(biāo)題Scramble and Resista
編輯Sam Moyo,Praveen Jha,Paris Yeros
視頻videohttp://file.papertrans.cn/825/824028/824028.mp4
概述Presents a Southern perspective on the contradictions of the new scramble for Africa and the struggles for development in the 21st century.Compares the strategies employed by emerging powers in their
叢書名稱Advances in African Economic, Social and Political Development
圖書封面Titlebook: Reclaiming Africa; Scramble and Resista Sam Moyo,Praveen Jha,Paris Yeros Book 2019 Springer Nature Singapore Pte Ltd. 2019 Africa.Scramble.
描述.This book presents the findings of research conducted by scholars and activists associated with the Agrarian South Network, based mainly in Africa, Asia and Latina America. The research articulates a Southern perspective on the “new scramble” for Africa, with a view to strengthen tri-continental solidarities. The book explains the significance of the new scramble in terms of the economic structures inherited from the late-nineteenth-century scramble and the subsequent post-independence period. The renewed competition for Africa’s land and natural resources and the resumption of economic growth at the turn of the millennium have revived concerns regarding the continent’s position in the world economy and the prospects for its development in the twenty-first century. In this regard, the book addresses two related issues: the character of the expansion of Southern competitors in relation to the more established Western strategies; and the impact of the renewed influx of investments inland, minerals, and associated infrastructure. The findings are presented with empirical rigor and conceptual clarity, to enable the reader to grasp what really is at stake in the twenty-first century –
出版日期Book 2019
關(guān)鍵詞Africa; Scramble; Land Grabs; Emerging Powers; Resistance; Political Science; Development Studies
版次1
doihttps://doi.org/10.1007/978-981-10-5840-0
isbn_softcover978-981-13-3863-2
isbn_ebook978-981-10-5840-0Series ISSN 2198-7262 Series E-ISSN 2198-7270
issn_series 2198-7262
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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Sam Moyo,Praveen Jha,Paris Yerosis community challenge included recognition of entities in a French medical corpus, normalization of the recognized entities, and normalization of entity mentions that had been manually annotated. Normalization had to be based on the Unified Medical Language System (UMLS). We addressed all three sub
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Valéria Lopes Ribeiros such as MEDLINE contain over 27 million articles, making it difficult to extract relevant content without the use of efficient search engines. Information retrieval tools are crucial in order to navigate and provide meaningful recommendations for articles and treatments. Classifying these articles
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dical datasets with grounded entity mentions for non-English languages are available for training supervised machine learning models. Moreover, the majority of concept aliases in medical vocabularies are also only available in English..In this work, we consider the problem of linking disease mention
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