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All experimental data in this work were presented as the mean ± standard error of the mean and evaluated using one-way ANOVA followed by the least significant difference test, with P < 0.01 and P < 0.05 (SPSS 16.0 for Windows).
The data were screened for significant outliers (i.e., data points >3.5 SD from the overall group mean) and evaluated for normality (i.e., Shapiro Wilk W test, P < 0.05).
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Continuous variables were described by means and evaluated by using Student t test.
Data were expressed as mean ± standard error of the mean (SEM) and evaluated for significant differences by means of a 2-tailed Student's t-test (Microsoft Excel).
Reduction of OM content by the means proposed and evaluated in this experiment can drastically increase infiltration rates.
We recommend that employers promote the occupational health of their staff through various means and evaluate outcomes periodically.
For determining a suitable number of clusters k the investigator has to test different numbers with k-means and evaluate whether the resulting clusters represent significant accumulation points of the data.
All data were presented as mean ± SD, and evaluated by one-way ANOVA.
Data were expressed as mean ± SD and evaluated using Student's t-test for comparison with wild-type samples.
The set of sigma points is calculated from the state mean and covariance and evaluated through the non-linear observation function.
All numerical data were calculated as mean and SD and evaluated by Student's t-test.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com