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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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Kofi Nsia-Peprae prime cause of data loss and data theft, which is the source of capital loss for many corporations and institutes. Therefore, it becomes imperative to identify whether the data or a file is malicious or not. The methods for malware and benign detection in this study are different machine learning
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Kofi Nsia-Pepraexcessive amounts of time or are infeasible to attempt at all on available vector processors. To describe physical phenomena, one must resort to simulation of complex models on the computer. The closer the model is to a physical phenomenon, the more extensive are the required computational resources
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Kofi Nsia-Pepra shape changes as a structural adaptation strategy to counteract the effect of loads has been investigated previously. When large shape changes are employed, structures are designed to change shape as the load changes thus giving the opportunity to homogenize stresses. In this way, the design is not
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Kofi Nsia-Peprahis simple linear image model is not quantitatively precise but allows for an easy interpretation of everyday observations. Electron microscope images do not in general follow a simple linear image model to any great precision. However it is useful to try to find the conditions under which an electr
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https://doi.org/10.1057/9781137463135conflict; human rights; Peacekeeping; development policy
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