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Four recent papers have been published that attempted to differentiate the separate deficits of PM and RM components by scoring the two components independently for each task trial.
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Build baselines for each task independently, based on various well established architectures and representations.
To support the rigour of this process, each of the two coders completed this task independently for each participant before meeting to compare their coding and emerging framework.
Analyses were performed independently for each group because time of exposure, tasks performed and data sources varied accordingly.
In a first step we therefore contrasted overall task activation for each task and then conducted separate analyses, which independently assessed age and performance effects that are specific for each of the 3 tasks.
For the offsets of S1, 4 stimulus parameters for each task were modeled separately to estimate values of the regression coefficient (i.e., beta) independently for each parameter.
for each task.
Odorants were made freshly for each task.
Schedule dates for each task.
Set reasonable expectations for each task.
Reward yourself for each task accomplished.
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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