AN EXTREME LEARNING MACHINE AND GENE EXPRESSION PROGRAMMING-BASED HYBRID MODEL FOR DAILY PRECIPITATION PREDICTION

An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction

Accurate daily precipitation prediction is crucially important.However, it is difficult to predict the precipitation accurately due to inherently complex meteorological factors and dynamic behavior of weather.Recently, considerable attention has been devoted in soft computing-based prediction approaches.This work presents a scheme to reduce the ris

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Comparison of ultra-ultrabrief and ultrabrief pulse widths in right unilateral electroconvulsive therapy: A randomized trial

Background: Ultrabrief stimulation in electroconvulsive therapy (ECT) using a 0.25 or 0.30 ms pulse width markedly reduces the charge required to reach the seizure threshold (ST) and cognitive side effects.It is not known whether further reduction of pulse width to 0.15 ms is advantageous.Methods: Thirty-seven patients were randomized to ST titrati

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Changes in seed oil and protein contents of maize cultivars at different positions on the ear in response to water limitation

A field experiment was carried out as split-split plot in 2014 to assess the effects of four irrigation treatments (irrigations after 60, 80, 100 and 120 mm evaporation, respectively) on oil and protein changes of maize cultivars (SC704, NS640 and DC303: Late, mid and early maturing cultivars, respectively) at different seed positions on Activity B

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