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Titlebook: UN Robust Peacekeeping; Civilian Protection Kofi Nsia-Pepra Book 2014 Palgrave Macmillan, a division of Nature America Inc. 2014 conflict.

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Data, Variables, and Methodology, better than traditional peacekeeping in protecting civilians from deliberate killings by state and organized nonstate actors in civil wars. In the process we will also determine the effects on stated mission goals.
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,The Politics of Civilian Protection—The Case of Darfur,llowing the United Nations’ failure to intervene robustly in Rwanda to prevent or halt the genocide. British prime minister Tony Blair promised that “if Rwanda happens again we would not walk away as the outside has done many times before,” and insisted that international society had a “moral duty”
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Moving Forward: UN Robust Peacekeeping and Civilian Protection in Civil Wars,ion, it constitutes . to human rights violations. . model posits that the success of UN peacekeeping missions in staving off deliberate civilian killings is a function of their deterrent capacity. Therefore, such missions’ success is a direct function of their ability to constrain combatants’ violen
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Kofi Nsia-Pepra. Important uses of parallel processors are in the simulation of gauge theory and elementary particle physics, multidimensional semiconductor devices, electronic circuits, weather circulation, and oil reservoirs, as well as studies in chemical quantum dynamics and molecular scattering, seismic imaging and dynamic structural analysis.
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-selected dataset of fresh and non-fresh Tilapia fish species to assess the performance of several CNN models, including VGG-19, MobileNetV2, DenseNet201, and ResNet50, for classifying fish freshness. DenseNet201 performed exceptionally well with an accuracy of 1.0, MobileNetV2 had a high accuracy o
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Kofi Nsia-Pepraurchase these days, but also affecting behaviour and cultural attitudes. It is poised to influence nearly every aspect of our being, and the field of cardiology is not an exception. This paper aims to brief the clinician on the advances in AI and machine learning in the field of Cardiology, it’s app
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