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Identification of the presence of scaling in the river flow process has been a challenging problem in hydrology. Studies conducted thus far have viewed this problem essentially from a stochastic perspective, because the river flow process has traditionally been assumed to be a result of a very large number of variables. However, recent studies employing(More)
Software maintenance is one of the tedious as well as costly phases in the software development life cycle. It starts immediately after the software product is delivered to the customer and ends when the product is no longer in use. There are various activities carried out during software maintenance phase such as the addition of new features, deletion of(More)
OBJECTIVE Advance care planning (ACP) can result in end-of-life care that is more congruent with patients' values and preferences. There is increasing interest in video decision aids to assist with ACP. The objective of this study was to evaluate the impact of video decision aids on patients' preferences regarding life-sustaining treatments (primary(More)
Artificial neural networks (ANNs) have been successfully employed for hydrological modeling in the last two decades or so. Most ANN hydrologic models use the McCulloch and Pitts' artificial neuron (MPAN) as the building block of the ANN models. This paper presents the results of a study employing an artificial neuron called Generalized Neuron (GN).(More)