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Titlebook: Reconstituting the State in Africa; Pita Ogaba Agbese (Professor of Political Science Book 2007 Pita Ogaba Agbese and George Klay Kieh, J

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發(fā)表于 2025-3-21 17:27:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Reconstituting the State in Africa
編輯Pita Ogaba Agbese (Professor of Political Science
視頻videohttp://file.papertrans.cn/825/824221/824221.mp4
圖書封面Titlebook: Reconstituting the State in Africa;  Pita Ogaba Agbese (Professor of Political Science  Book 2007 Pita Ogaba Agbese and George Klay Kieh, J
描述Contributors to this volume highlight the failure and socio-economic and political problems of post-colonial African state and make constructive and convincing suggestions of how the problems can be addressed. They do not argue for the scrapping of the state but its reconstitution in ways that will enable it to be people‘s-oriented.
出版日期Book 2007
關(guān)鍵詞Africa; constitution; development; European Credit Transfer System (ECTS); imperialism; politics; state
版次1
doihttps://doi.org/10.1057/9780230606944
isbn_softcover978-1-349-53438-8
isbn_ebook978-0-230-60694-4
copyrightPita Ogaba Agbese and George Klay Kieh, Jr. 2007
The information of publication is updating

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tive and convincing suggestions of how the problems can be addressed. They do not argue for the scrapping of the state but its reconstitution in ways that will enable it to be people‘s-oriented.978-1-349-53438-8978-0-230-60694-4
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https://doi.org/10.1057/9780230606944Africa; constitution; development; European Credit Transfer System (ECTS); imperialism; politics; state
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發(fā)表于 2025-3-22 14:36:41 | 只看該作者
Pita Ogaba Agbese (Professor of Political Science
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t and selection, training, and culture of SOF soldiers. This chapter provider background information on these aspects of working with Special Operations Forces, identifies challenges in the delivery of BH care to this population, and discusses the personal experiences of one provider in this role wi
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behind the backpropagation algorithm. We will also explore training steps under Keras. Afterward, we will form a classifier and regressor via neural networks. Finally, we will consider real-life applications introduced in previous chapters now from the neural networks perspective.
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