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Titlebook: International Law in Disaster Scenarios; Applicable Rules and Flavia Zorzi Giustiniani Book 2021 The Editor(s) (if applicable) and The Auth

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发表于 2025-3-21 19:11:07 | 显示全部楼层 |阅读模式
书目名称International Law in Disaster Scenarios
副标题Applicable Rules and
编辑Flavia Zorzi Giustiniani
视频videohttp://file.papertrans.cn/472/471755/471755.mp4
概述Conceptualises the main theoretical issues arising in the application of international law to disaster response.Investigates, with an exhaustive inquiry of international practice and doctrine, the act
图书封面Titlebook: International Law in Disaster Scenarios; Applicable Rules and Flavia Zorzi Giustiniani Book 2021 The Editor(s) (if applicable) and The Auth
描述.The book identifies the main international concepts and rules that are of special relevance in disaster settings and critically analyses how they are implemented in such contexts. It shows that, although the crucial and growing importance of disaster response has resulted in a complex framework of international obligations, it is nonetheless guided by certain general principles/values.  .In particular, through an in-depth analysis of sovereignty, international cooperation and solidarity, and their manifestations in disaster contexts, the book assesses the concrete scope and nature of the obligations of the state affected by the disaster, and those of the international community, respectively. Considerable attention is devoted to the applicable legal framework governing disaster response in mixed situations of disaster and armed conflict, and to the main problems and operational challenges entailed by the involvement of foreign military personnel and assets in disaster response.. .The book’s overall objective is to provide an authoritative overview of the development, core issues and challenges in international law with regard to disaster scenarios, and to serve as a valuable and c
出版日期Book 2021
关键词Sovereignty; Solidarity; Humanitarian access; International cooperation; Complex emergency
版次1
doihttps://doi.org/10.1007/978-3-030-50597-4
isbn_softcover978-3-030-50599-8
isbn_ebook978-3-030-50597-4
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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ppression algorithm based on salient objects (SO-NMS) to filter the recommended viewports. In the quality assessment stage, we utilizes a dense network to predict the quality scores of each viewport and then integrates these scores to obtain the video quality score. Experimental results demonstrate
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Flavia Zorzi Giustinianition strategy is more focused overall and has less excess attention at the edges. This visual optimization will enhance people’s observation experience. The proposed model has great potential for two application scenarios: (1) instruct amateur traders how to observe stock charts; and (2) evaluate st
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Flavia Zorzi Giustinianiesearch directions. In an age where demand for more accurate and personalized recommendations continues to surge in our data-driven world, cross-domain recommendation systems are poised to play a pivotal role in shaping the future of information and content consumption.
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Flavia Zorzi Giustinianithe reinforcement learning policy network. We conduct experiments on the ConvRef dataset, consisting of 11k naturally occurring dialogues, and compare our method with state-of-the-art baselines. The results demonstrate that our approach effectively generates more accurate inference paths from user-a
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