Sentence examples for sample improvement from inspiring English sources

In the present sample, improvement in physical aspects were observed throughout the entire therapeutic process of class III malocclusion, indicating that patient with class III malocclusion were better at performing routine activities than two other types of malocclusion as a consequence of comprehensive orthodontic treatment.

For the follow-up sample, improvements in the FBB-HKS total score at post-training were non-significantly higher when theta/beta training preceded SCP training as compared to the reversed order of protocols (t 35) = −0.75, p = 0.46; d = 0.25).

From our results we can confirm increases during treatment, but in our sample improvements were more pronounced in the long run and looking at parent-reported and norm scores.

Among the treatment group of the current sample, improvements were noted post-treatment on almost all outcome variables, including phobia avoidance, phobia severity, anxiety (as measured by the anxiety-depression scale of the FQ, the GAI and STAI-Trait), depression and overall symptom presence and severity.

Variance stabilization is very important for small data sets, although, as comparison shows, even for medium range data sets of 10 ÷ 30 samples, improvement can be significant.

Our work highlights that critical scoring and sampling improvements will be necessary to approximate conformational landscapes.

It is hoped that this review will inform future study designs, encourage greater transparency and facilitate sampling improvements.

In large patient samples, improvements in pain or function scores have consistently been on the order of 40% to 60% relative to baseline, from 6 months to 2 years postoperatively [ 8- 16].

The treated In2O3 nanoparticle sample showed improvement in crystallinity while maintaining a large surface area of nanostructure morphology.

Due to small sample size, improvement in TV in dorsal ROIs was not statistically significant.

Technical developments focus on precompetitive issues, such as decreasing minimal sample volume, improvement of sample stabilization and assay sensitivity, reduction of experiment time, data analysis and reduction of costs.