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This procedure generated a 616-region parcellation that forms the basis for many of the subsequent analyses.
Finally, the procedure generated a stimulus discrimination accuracy value for each task, in each voxel and subject.
The entire procedure generated a set of 1,000 single-subject null discrimination accuracies for each stimulus class, in each voxel, subject and task.
The optimisation procedure generated an optimum of 40% release in 3 h.
This procedure generated simplified statistical models that describe butanol yield and productivity as functions of the significant operating variables.
The procedure generated a Pt-rich surface with electrochemical properties different from that presented by the as-received (untreated) sample.
For both models, our fitting procedure generated parameter sets that accurately reproduced clinical data, but differed markedly from published sets and between patients, emphasizing the need for patient-specific adjustment.
The optimal loading procedure generated by this article can offer another possibility for engineer by determining the internal pressure and the axial feeding in tube hydroforming.
Their stability could be significantly enhanced by a thermal treatment, but this procedure generated various water-soluble derivatives such as aldehydes, ketones, and aromatic species.
The clustering procedure generated two very convincing groups from the data.
However, as already described, our procedure generated both selection and rejection stimulus control.
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CEO of Professional Science Editing for Scientists @ prosciediting.com