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For both tasks we used the R statistical environment [ 38].
For both tasks, we used six levels of difficulty, represented by six levels of coherence (0 %, 5 %, 10%, 20 %, 400 %, and 80%%).
Similar(58)
For both spatial and non-spatial versions of the task we used letter stimuli.
For this task, we used the.NET Compiler Platform (Microsoft 2014).
This task was the only sport-specific task we used.
Whereas Williams et al. [36] used a specific tennis-related task, we used an unspecific one.
For the getting-acquainted task we used the same procedure.
For this task, we use Tidy[35].
For this task, we use Wget[32] and Scp[33].
In our task, we use affine transformation as parameter model.
To accomplish this task, we use the Hydro Unit Commitment and Loading (HUCL) problem.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com