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Average and values (error bars) of duplicates, incubated at 25°C in buffer solution.
In this study, response surface (RS) model and an artificial neural network (ANN) are developed to predict surface roughness values error on mold surfaces.
Deconvolution-related ABIC values, error and residual, as well as the parameters used for the calculation, can be conveniently compared to refine the deconvolution optimization.
Hence, by discussing these concepts with the focus group, it was possible to come up with more comprehensive terms, such as academic studies required for the degree, capabilities, values, error analysis and deficiencies, value individual accomplishments and learning.
The data are expressed as mean values; error bars indicate the standard error.
Data are presented as mean values; error bars in figures represent SEM; n values and statistical significance are specified in figure legends.
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Figures 4 and 5 show the final model's residual values (errors) and the associated autocorrelation plot, respectively.
value Predicted value Error Exp.
Practical operation shows, the designed system realized tracking to set pressure value, error within permitted.
Data represent mean value, error bars with 95% confidence intervals of the mean and effect size (d).
The average disparity value error of pixels that have been classified as bad pixels. .
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com