“highly significant”

The survivability was highly significant in the medium supplemented with Zn ( p < 0.0001) and Ag ( p < 0.018).

Fumarate levels showed a highly significant decrease ( p < 0.0001), while succinate levels were also significantly lower ( p = 0.005) in both strains following treatment ( Figure 9 D).

Season × region interactions were highly significant ( p < 0.0001), indicating strong environmental modulation of milk trace mineral profiles. 3.2.

A highly significant QTL (p < 0.0001) was detected on chromosome Z between microsatellite markers MCW258 and MCW241 (at 21.40 Mb and 34.26 Mb, respectively) [see Additional file 1 ].The effect of this locus was 15.28 HU.

The corresponding gait discriminant score displayed a highly significant ( P < 0.0001) differentiation between the mdx mice and WT controls and a significant shift toward WT in the SC and IV M23D treatment groups compared to the scrambled control group ( P < 0.05), indicating an M23D treatment effect on overall motor performance ( Fig. 7B ).

Bartlett’s test was highly significant (p<0.0001), further indicating that the sample was adequate for factor analysis.

In contrast to the first model, direct transfer completely lost its significance in predicting outcome (OR 0.88, 95% CI 0.74–1.04, P =0.1313), whereas in this model shorter door-to-balloon time was a highly significant predictor of better survival ( P <0.0001; Table 4 ).

Due to the lower BMI observed in the insulin-sensitive subjects, REE was adjusted for the Kg of free fat mass and the difference between groups remained highly significant (32.2±4.5, 30.3±3.7 and 28.9±3.3 Kcal/kg of free fat mass/day in T2DM, insulin-resistant and insulin-sensitive patients, respectively; P<0.0001) ( Figure 2 left panel).

In the full factorial model, the effect of exposure time on glucose levels was highly significant ( p < 0.0001), but no other effects were statistically significant.

Results and discussion The Procrustes ANOVA performed on the replicated subsample showed highly significant differences between sperm heads (MS sperms = 0.000388, MS error = 0.000001, P < 0.0001).

Psyllid life stage had a highly significant effect ( p = 0.0001) on the total duration (frequency x mean duration) of all detected waveforms ( Table 3 ).

As shown in Table 1 , the analysis of variance (ANOVA) of the response surface quadratic model indicated that the regression model obtained was highly significant (P < 0.0001) with an F value of 263.99.

A very highly significant value of NDI among and between different exposed groups was observed ( p < 0.0001).

C2), S nn became very high (S nn = 0.87) and remained highly significant (P < 0.0001), demonstrating the high phylogeographic signal detected in the species across its distribution.

For water absorption ( Table 2 ), the overall model was highly significant ( p < 0.0001).

This difference is highly significant with a p -value < 0.0001.

The model was highly significant (Chi-Square = 264.87 (12), p < 0001) and accurately placed 81.6% of the sample into their respective group (Actives versus Withdrawals).

A retrospective analysis using this model enabled highly significant differentiation between peptide and non-peptide receptor families (logistic regression; p value < 0.0001).

Comparison with the full data set of 180 outbreaks reveals a highly significant reduction in goodness-of-fit ( P <0.0001), indicating that the 1967–1968 outbreak was unusually large given prior estimates for R .

Between groups analysis (PCOS, T2D and controls) showed a highly significant difference between the groups ( F = 63.43, p < 0.0001).

The phenotypic correlation between inoculation and culture filtrate infiltration experiments using the same isolate was highly significant ( p < 0.0001) for both isolates 203649 and 202579 (Table 4 ).

At 7.5 months of age, there was a highly significant difference in the cortex ( p < 0.0001, F (3, 28) = 50.23, Sidak’s multiple comparisons test, Figure 7 A), and similarly—in the hippocampus ( p < 0.0001, F (3, 28) = 23.80, Sidak’s multiple comparisons test, Figure 7 B).

For the entire study group, this resulted in a highly significant estimate ( F (2.37)=25.4, p<0.0001, R 2 =0.578).

Interestingly, we found a highly significant positive correlation between KI67 LI and TUNEL levels both at baseline ( Figure 3 ) and surgery ( Figure 4 ) (Spearman's ρ =0.5 and 0.6, respectively, P <0.0001).

This is supported by their highly significant levels observed in both A549 cells ( P adjust < 0.0001 for both FAM83A and GPR37 genes in Table 4 ) and LUAD patients ( P < 0.0001 for both FAM83A and GPR37 genes in Fig. 5 a).