Optimization of machine parameters using response surface methodology (RSM) greatly overcomes the numbers of experimental trials generally undertaken for milling study of pigeon pea apart from maximizing the output of the system. The independent milling parameters for Central Institute of Agricultural Engineering dal mill viz., roller speed, emery grit size, and feed rates were optimized for pigeon pea dehulling using RSM. The roller peripheral speed of 9.6 m/s, emery grit size 1 mm, and feed rate 111 kg/h were found optimal. The dal recovery and milling efficiency at optimized independent parameters were 75% and 80%, respectively.
A process of active, item-wise removal of information from working memory (WM) has been proposed as the core component process of WM updating. Consequently, we investigated the associations between removal efficiency, WM capacity, and fluid intelligence (gF) in a series of three individual-differences studies via confirmatory factor analysis. In each study, participants completed a novel WM updating task battery designed to measure removal efficiency. In Study 1, participants additionally completed a WM capacity task battery. In Study 2, participants completed a battery of well-established measures of gF in addition to the updating battery. In Study 3, participants completed the updating, WM capacity, and gF task batteries. The results suggested that removal efficiency was related to both WM capacity and gF. Furthermore, based on a mediation analysis, the relationship between removal efficiency and gF was found to be entirely indirect via removal’s influence on WM capacity. The results were interpreted to suggest that removal ability may contribute to performance in reasoning tasks effectively through increasing WM capacity, presumably through reducing interference from distracting information.
Working memory (WM) is a limited-capacity system requiring an interference-control process to avoid being cluttered from irrelevant information. Recently, it has been suggested that this “housekeeping” mechanism can be attributed to an item-wise removal process serving to actively remove irrelevant information from WM. It has been theorized that this active removal process serves to facilitate both WM maintenance in the face of distraction as well as the updating of outdated information. An alternate view, however, is that interference control in WM relies on an inhibitory process that suppresses the activation of distractors against competing, task-relevant representations. This study is the first to assess the extent to which removal and inhibition represent the same cognitive process. One-hundred and thirty-eight undergraduate students from the University of Western Australia (M = 20.42, SD = 3.09) completed a novel removal task battery in addition to an inhibition task battery. Data were analysed using a hybrid path analytic and structural equation model. The modelling found that there was unique variance associated with the removal latent variable, and estimated that only approximately 9 % of the variance in the removal latent variable could be accounted for by the inhibition tasks, providing tentative support that removal should not be considered a process of cognitive inhibition. The findings support previous claims that removal is an independent WM updating process. The findings are also consistent with a class of computational WM models proposing that removal and inhibition operate on different levels.
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