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> There was a significant main effect of task, driven by slower performance on the regularize than the read task (mean RTs of 1170 ms vs. 733 ms; rmANOVA F1,31 = 348.45, P < 0.001; see Supplementary Fig. 3 A ).
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In this work, we aim to design an incremental CF recommender based on the Regularized Matrix Factorization (RMF).
For both the Behavioral and fMRI studies, stimuli were randomly intermixed within task runs, and each participant performed either the read task or the regularize task on each stimulus.
In contrast to the read task, the regularize task required subjects to pronounce words based exclusively on spelling-to-sound principles, pronouncing "pint" (/pajnt/) to sound like "lint" (/lInt/).
The models were refined using the Regularize Zone module.
The regularize task, like many other paradigms used in cognitive neuroscience and psychology, represents a somewhat artificial construct, in that highly literate young adults do not typically focus on "sounding out" words that they already know how to read.
First, and not surprisingly, subjects performed the regularize task more slowly than the read task.
The regularize task clearly requires selective attention to the phonological pathway output.
Based on the global optimization, the regularized BLT objective function can be represented by a directed graph and then be resolved by graph cuts algorithm in the whole region without source support constraint.
In order to improve the quality of the image, many works impose explicit priors on the solution to regularize the ill-posed inverse problem.
The algorithm relies on regularizing the Fourier transform of the Green's function by cutting off the interaction in physical space beyond the domain of interest.
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CEO of Professional Science Editing for Scientists @ prosciediting.com