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To avoid order effect bias, subjects were randomly assigned to undergo the experimental task in the fasted or fed condition on the first study day and scheduled to return for the second study session at least 1 week later to minimize task habituation.
In this paper, we aim to find an optimum task-scheduling scheme to minimize task response time and energy consumed by the data center servers.
In [11] and [15], authors propose to minimize task execution time by using an objective function that minimizes the largest task completion time as defined in [11] and [8].
To minimize task effects related to facial or emotional processing, facial stimuli were irrelevant to a primary task of learning associative pairings between a subsequently presented visual character and a spoken word.
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Managing context information in forensic casework aims to minimize task-irrelevant information while maximizing the task-relevant information that reaches the examiner.
A passive paradigm was chosen to minimize task-related activations of the frontal cortex (see also Calvert et al. 2000; Belardinelli et al. 2004; van Atteveldt et al. 2004, 2007).
This was done to minimize task-related effects, so that the changes in cortical activity could be assigned to the changes in the information conveyed by auditory input following learning (Calvert et al. 2000; van Atteveldt et al. 2004; Naumer et al. 2009).
The cost and time models with deferential evolution algorithms [[23]] would enable generating the optimal tasks schedules to minimize job completion cost and time.
Second, the study paralleled tasks to minimize the task variable; however, no evidence of their supposed equivalence was offered.
The first day served primarily to acclimate the subjects to the task (and thus minimize task-learning effects during training) and to determine appropriate stimulus levels.
In particular, the results suggest that designers should try to minimize total task durations and the durations of all visual encoding steps required for an in-car task, as well as minimize the distance between visual display elements that are encoded one after the other.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com