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In standard fMRI methods, the large voxel-size, along with the combined effects of partial-voluming, pooling due to shared vasculature [12], imperfect alignment during normalization and group averaging, and spatial smoothing all conspire to bias fMRI analyses towards findings of spurious overlap [13].
We see strong correlation between samples for all methods (the large blocks along the diagonal).
Since normalization was carried out (as seen in methods), the large number of transcripts derived from leaves is interesting.
In both methods, the large radius of the gold-coated tips reduces their usefulness for high-resolution imaging.
The strengths of our study are the validity of the registers, the linkage methods, the large sample size and the 11-year time frame.
The strength of our study lies in the validity of the registries and linkage methods, the large size and lack of selection of the cohort and the long duration of follow-up.
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Among these methods, the largest color distortion effect appears in the PCA-fused image.
For the GCM methods, the largest drop in DSC between the lesions was 35%% obtained for GCM3 for homogeneous uptake.
Among those never having used natural lawn care methods, the largest group (48.3%) reported not having much knowledge of natural lawn care practices or methods.
For the remaining methods, the largest difference appears when the cutoff is increased from 0.1 to 0.3 or from 0.5 to 0.7.
In such a method, the large number of false tracks launched, combined with incorrect data association lead to algorithm failures.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com