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In all of these tests, the convergence followed the same pattern: the error slowly decreased during the first few iterations and then suddenly dropped to a significant lower plateau, from where it gradually decreased again.
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As Gaussian filter is applied to the fringe patterns, the error pixel mutation of each pixel will influence its surrounding pixels.
Stronger return to the pattern could only be possible if DAT knockdown strengthened the entire pattern as a global whole, facilitating the mutants' ability to maintain a neural representation of the pattern during an error and to resume the remaining pattern after the error.
The results show a substantial difference between the former models and the latter, in terms of the estimated total marginal impacts of the different variables and the pattern of the error terms.
The spatial pattern of the error of the N model suggested that the observations were affected by the local soil condition, but this was not accounted for by the N model.
With the SFA model, we see a more randomly dispersed pattern to the error term although there is a slight upward drift.
If the two applications have distinctive error-distribution patterns, the errors could be identified and excluded by reciprocally correcting each other's errors.
As a novel approach, comparison of measured deviations with available error patterns facilitates the error source isolation.
In spite of conspicuous advantages, in case of poor geometrical quality of machined features, lack of knowledge about error patterns makes the error source isolation process more difficult.
Including poorly known species risks biasing projections of biodiversity patterns if the error is directional.
We could not find any tight relationship between other sequence patterns and the error rate.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com