The phrase "adjustment improves the" is correct and usable in written English.
You can use it when discussing the positive effects of a specific adjustment on a particular subject or outcome.
Example: "In our study, we found that the adjustment improves the overall performance of the system."
Alternatives: "modification enhances the" or "change boosts the".
In fact, although the weighted adjustment improves the estimates of the unknown parameters, such observations are noisier, mainly due to multipath effects (Dach et al. 2015).
Because of the tendency, shown in Figure 1, for TBLASTN to overstate the significance of alignments with biased composition, the use of compositional adjustment improves the reliability of the method when it is used with an E-value cutoff.
Apparently, although it is reasonable to adjust accepted parameter values by using the actual distance d(S y obs), S y M [ 4, 13], whether such adjustment improves the approximation to the posterior depends on the specifics of each data set, including the adequacy of the chosen summary statistics.
The comparison between PERSIANN and adj-PERSIANN shows that the bias adjustment improved the POD, which is a daily scale statistic.
Additionally, relative humidity, time of day, and day of the week were included if this adjustment improved the model fit.
Thus, OsCPK9 functions in osmotic adjustment, improving the ability of the plant to retain water during drought.
We calculated 95% confidence intervals for the AUCs and compared AUCs between measures using the Stata command roccomp, which uses the nonparametric method proposed by DeLong et al. 37 Logistic regression was used to assess whether TIV adjustment improved the prediction above that afforded by each measure by fitting the model with TIV and the measure as explanatory variables.
Model architecture adjustments improved the overall root-mean-square error (RMSE) of the base database predictions by 5.54%.
Test sensitivity adjustments improve the accuracy of hospitalization rate estimates.
In this study we found that these postdata adjustments improved the quality of our data.
Our results demonstrated that both intraplatform adjustment for batch effects and between-platform adjustments improve the reproducibility of the gene expression measurements.
