Sentence examples for generated significant differences between from inspiring English sources

All of the fluorescence generated significant differences between perfectly matched probe signal and mismatched probes (Fig.  2b).

Using these seascape configuration metrics, patch reefs were clustered into two groups (hereafter called Fish Type I and Fish Type II for simplicity), which was sufficient to generate significant differences between groups for each seascape metric (Fig. 2A; ANOVA; P<0.05) and enabled maximum sample sizes within a group for subsequent analyses of reserve effects.

However, this difference seems not to be sufficient to generate significant differences in subject's reaction times according to the chromatic contrast between the two cues [18].

We found that morphological differences were not sufficient to generate significant difference (P < 0.05) in throughfall between two studied shrub species under the same rainfall and meteorological conditions in our study area, with a throughfall percentage of 69.7% for C. korshinskii and 64.3% for A. ordosica.

That only a small portion of all census areas generated statistically significant differences between overlapping multi-year surveys suggests that researchers should be judicious if using the yearly released multi-year files to represent annual socioeconomic conditions.

Statistical parametric maps were generated showing significant differences between each pathological group and the healthy control group; these t-statistic maps were thresholded at significance level 0.01 (corrected for multiple comparisons over the whole brain volume using false discovery rate).

The variations in water mixing did not generate statistically significant differences between the chamber types for any of the measured fluxes of oxygen or nutrients.

Performance on sustained attention and the number of words generated did not show significant differences between the three genotypes.

A contingency table was generated to assess potential significant differences between the groups in categorical variables, and Fisher's exact test was applied.

Based on the resulting outputs from this program, an individualized treatment prioritization list is generated for each region where significant differences between the patient's chronological and esthetic ages exist.

To find out variables contributing to the significant differences between different PMC samples, PC1 and PC2 loadings plots were generated.