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Titlebook: US Military Bases, Quasi-bases, and Domestic Politics in Latin America; Sebastian E. Bitar Book 2016 The Editor(s) (if applicable) and The

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发表于 2025-3-21 19:50:57 | 显示全部楼层 |阅读模式
书目名称US Military Bases, Quasi-bases, and Domestic Politics in Latin America
编辑Sebastian E. Bitar
视频video
图书封面Titlebook: US Military Bases, Quasi-bases, and Domestic Politics in Latin America;  Sebastian E. Bitar Book 2016 The Editor(s) (if applicable) and The
描述This book explores domestic opposition to formal US military bases in Latin America, and provides evidence of a growing network of informal and secretive base-like arrangements that supports US military operations in the Latin American Region.
出版日期Book 2016
关键词Latin America; Military Bases; Security; democracy; democratization; Colombia; Ecuador; El Salvador; FMLN; Qu
版次1
doihttps://doi.org/10.1057/9781137539274
isbn_ebook978-1-137-53927-4
copyrightThe Editor(s) (if applicable) and The Author(s) 2016
The information of publication is updating

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发表于 2025-3-21 23:18:37 | 显示全部楼层
Successful Basing Agreements, dynamics and the role of the opposition party, the Frente Farabundo Marti para la Liberación Nacional (FMLN), and the renewal of the base lease later. Similarly, the chapter continues with a discussion about the domestic political dynamics that allowed the installation of the US air base in Manta,
发表于 2025-3-22 03:42:00 | 显示全部楼层
Sebastian E. Bitar our efforts to augment the node life time in sensor network by frequent use of suboptimal paths, and reducing redundant sensory network traffic. Towards this end, we propose an agent-based routing approach that incorporates static and mobile agents. Static agent is responsible for calculating and m
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US Military Bases, Quasi-bases, and Domestic Politics in Latin America
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US Military Bases, Quasi-bases, and Domestic Politics in Latin America978-1-137-53927-4
发表于 2025-3-22 18:40:42 | 显示全部楼层
Sebastian E. Bitart can help network planners solving the best solutions or the best paths of routing table in wireless communication networks are easily and quickly. From the experiment results can be noted that the evolutionary algorithm not only gets good solutions, but also a more predictable running time when compared to sequential genetic algorithm.
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