“highly significant”

The one-sample t-test indicated a highly significant difference t (54) = 5.01, p < .001, with a mean difference of.14 grams (95% CI :.08 to.19).

There was a highly significant negative correlation between serum cortisol and log-transformed TSH (Pearson R = –0.25, P < .001), but no correlation between serum cortisol and FT4.

3 Results and discussion 3.1 The effect of fungicide rates on disease severity There was a highly significant difference (P < 0.001) between the treatments for disease severity starting from the 3rd data scoring.

The interaction, however, was highly significant in the analysis of sensitivity ( F (1, 31) = 17.82, p < .001, η p 2 = .096; in RT ( F (1, 31) = 3.41, p = .07, η p 2 = .099).

With regards to the variability of factor B (cultivar), all the differences between the variables were highly significant ( p ≤ 0.001).

The differences in terms of accuracies between BLUEs and BLUPs were high, despite the highly significant ( p < 0.001) correlations between BLUEs and BLUPs for each trait ranging from 0.93 for FAW to close to 1 for AP, AK, and GWL (presented in Figure 1 ); therefore, only results for BLUPs will be presented hereafter. 3.2.

Results As shown in Figure 1 , blood MDA levels in diabetic patients were significantly increased over those of control patients (p<0.001), due to a highly significant increase of PDR values versus control group and versus NPDR values (both, p<0.001).

The warming effect on metabolic activity was highly significant ( p < 0.001; RMANOVA).

Phosphorylated glycogen synthase kinase 3 beta (pGSK3)/glycogen synthase kinase 3 beta (GSK3) All main factors (immobilisation, inflammation, insulin, side) were highly significant ( p < 0.001).

We found that the GF diets rendered an eight- to twelve-fold increase of NGF content in the brain, and that the increase was highly significant ( p < 0.001). 4.

The results revealed enhanced alpha‐band connectivity from frontal to ipsilateral temporal regions as the duration of TLE increased, with highly significant differences between the LONG‐TERM and HC groups, and these differences had large effect sizes (Hedges's g >0.8, p < .001, Figure 2a(g) ).

That in the right hemisphere following left half-field stimulation averaged 27 ms, whereas that in the left visual cortex following right half field stimulation was 38 ms, a highly significant difference between the hemifield conditions (F(1,56) = 12.4, p < 0.001).

This difference was highly significant ( p <0.001).

When adjusted by age and sex, the differences for apoB between Asian Indians and Americans remained highly significant (p < 0.001) whereas the differences for non-HDL-C were no longer significant (p NS).

We used FUNGuild to assign functional roles to OTUs and found a large and highly significant ( P < 0.001) increase in the relative abundance of pathotroph reads in the root compared with rhizosphere and bulk soil (Supplementary Figure 4 ).

These results correspond to the highly significant risk factor of the R1 situation ( p < 0.001) in our study.

Differences were considered non-significant (ns) for p -values > 0.05 (marked as “ns”), significant for p -values < 0.05 (marked as *), highly significant for p -values < 0.01 (marked as **), and extremely significant for p -values < 0.001 (marked as ***), and p -values < 0.0001 (marked as ****), respectively. 3.

There was a highly significant ( P = 0.001) and significant ( P = 0.018) main treatment effect of catch crop species and sowing date on plant population, respectively.

This difference observed was statistically highly significant with a p-value of <0.001 (Table 3 ).

Compared with other age groups there was a highly significant 28% reduction in breast cancer mortality in the age group invited to screening (RR 0.72, 95% CI 0.70–0.74, P < 0.001).

For microsatellites, pairwise comparison of F ST showed highly significant differentiation ( F ST = 0.068, P<0.001).

Highly significant data ( p < 0.001) are underlined.

Results Oxidative stress marker and antioxidant markers MDA levels showed a highly significant increase ( P < 0.001) when comparing the high-dose group with either the low-dose or control group, as well as when comparing the low-dose group with the control group, as illustrated in Fig. 1 (a) .

The results reveal a highly significant positive correlation (P < 0.001) between the colors (red, orange, yellow, yellow-green) and the degree of strength, bitterness, and astringency.

The difference in mean scores of pre and post was highly significant (p < 0.001), which resulted in more than 90% power post-hoc test.