Your English writing platform
Discover LudwigSuggestions(5)
Exact(60)
Comparing the mean changes of AVG and NAVG groups, Cohen's d was = 0.85.
The mean changes of upper and lower lip thickness and length, as well as nasolabial and labiomental angles were not significant.
The mean changes of AHRS score were 22.9 (baseline) to 18.4 (4th week) in the Active group and 24.2 (baseline) to 21.8 (4th week) in the Sham group, indicating no significant difference by mix model analysis.
At week 4 both paroxetine and amisulpride produced significant improvements on factor 1 while at week 8 mean changes of factor 1 were greater in the amisulpride-treated patients.
The results of the comparison of observations and model results suggest that the model is capable of reproducing mean changes of pore pressure at a suitable scale for physically-based modelling of shallow landslide susceptibility.
Fig. 7 Mean changes of MLSS at different OLRs over the operation time.
In particular, the ES coefficient has been defined as the ratio of the difference between the mean changes of the two groups divided by the corresponding weighted SDs.
In Fig. 6, the mean changes of input and output of TN (Fig. 6a) and TP (Fig. 6b) in IFAS reactor are shown regarding different OLRs, while Fig. 6c shows the mean removal efficiency.
The main goal of this method is to modify the daily time series of the variables (i.e. precipitation, maximum and minimum temperatures) in the future years by adding monthly mean changes of GCM outputs.
Only 2.4%% of patients required antibiotics during the treatment period and none of the patients met the definition of recurrence until Day 37. The mean changes of the main symptoms on Day 7 and Day 37 compared to Day 0 were: −1.9/-2.3 (dysuria); −1.8/-2.4 (frequency); −1.6/-1.9 (urgency).
Fig. 3 Mean changes and removal efficiency of BOD5 at different OLRs over the operation time Fig. 4 Removal efficiency and mean changes of COD at different OLRs during their operation time Fig. 5 Mean changes in TSS removal efficiency at different OLRs over the operation.
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