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We present the development of a new algorithm which combines state-of-the-art energy-dispersive x-ray (EDX) spectroscopy theory and a suitable machine learning formulation for the hyperspectral unmixing of scanning transmission electron microscope EDX spectrum images.The algorithm is based on non-negative matrix factorization (NMF) incorporating a
Objectives: Severe lower respiratory tract infection caused by adenovirus is well described in immunocompromised hosts and can cause significant morbidity and mortality.We compare and contrast the clinical presentation, radiological, and virological features of two rare cases in immunocompetent adults admitted to an intensive care unit in a large,
Humanitarian logistics which is precisely known as humanitarian supply chain (HSC) plays a major role in reducing the impact of disaster on human life and livelihood by providing humanitarian aid in the forms of food, water, medicine, shelter and other supplies.Unfortunately, anecdotal evidences indicated that relief chain tends to be unstable, unp
This paper deals with the results of study on implementing reduced impact logging (RIL) as well as conventional logging (CL), which was carried out in natural production forest under the concession operation of a forest company in Riau in 2001.The aim of this study was to assess the effect of reduced impact logging on possible improvement or securi