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Specifically, we use the matrix p(c'| c): This assumption was widely used in previous analyses of the error minimization in genetic codes (see [ 11, 34, 35] for discussion).
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They performed a cross-sectional analysis on the types of study design, statistical analyses, and made a quantitative analyses of the errors in statistical methods.
Analyses of the errors for these results show that there are variations of subunits between their conformations packed in crystal and in intact pilus and suggest that we should take a slight flexibility into consideration during the modeling processes, instead of taking pilins as rigid bodies totally.
Beyond the issues of the time consumed by such large analyses and of the error risk when running many analyses manually, the main difficulty then is to integrate all results together, by inferring "neighbor-to-neighbor" relationships, in order to extract simple and relevant interpretations from the vast amount of enrichments obtained.
Analyses of the modeling error associated with several commonly referred models for predicting shear capacity of reinforced concrete beams were carried out using a database containing results of test beams that was established based on test specimens found in the literature.
We present analyses of the standard error of the residuals SDres, because they are independent of the numerical value of the predicted growth response.
After analysing all of the error classifications of the coding audits, we found that the errors were substantially caused by coder (83percentt) rather than non-coder (17percentt) error.
In an appropriateness review of planned caesareans, as in all analyses of practices, the "errors" found are often the same.
Detailed analyses of the behavioral RT, error rate, and task choice data are reported in Yeung (2010, Experiment 1a).
Analyses of the effect of errors in the experimental settings and direct absorption measurements of [OH] have been used to verify positional differences.
Nonetheless, error is always present in the data collected as inputs to mechanical analyses and the magnitude of the error varies among kinds of data or methods of collection, e.g. positional data obtained using external markers and infrared cameras are more error prone than that acquired from fluoroscopy, but less than that from digitization of videotape.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com