For the language tasks, the Expressive One Word Picture Vocabulary Test demonstrated a highly significant effect of group, F (2, 54) = 34.829, p < 0.001, and this was driven by all three groups being significantly different from one another: non-native signer < native signer, p = 0.029, non-native signer < hearing, p = 0.001, and native signer < hearing, p = 0.009.
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For the 1STST, the corresponding likelihood-ratio test was highly significant (χ 2 = 128.08, p < 0.001), with reference recovery at +0.018%/s, PPF essentially overlapping with reference (Δ −0.0001), and IPF reoxygenation diverging from reference by Δ −0.0347%/s.
Statistical comparison of the observed and expected additive toxicities, Regarding the difference in toxicity units (TU), using the Student t test, it was found to be highly significant ( p < 0.001).
Fisher’s exact test showed this was highly significant (HIgM12 vs control IgM, P < 0.001; HIgM12 vs PBS, P < 0.001; and control IgM vs PBS, P = 0.39): 84% of mice treated with HIgM12 showed a positive response (Additional file 2 : Figure S2).
The study found a highly significant 3-year overall survival (OS) advantage for the CRT arm (76% vs 46%, P<0.001).
The results were highly significant ( r =0.6563, P <0.001), indicating that the variations in codon usage are strongly correlated with the nucleotide content (i.e., GC content) of the genes.
This difference is highly significant, t (3700) = 63.1, p < 0.001, d = 3.5 indicating that this cut off strongly separates people who endorse positive play from those who do not.
Analysis of variance revealed that the environment had a highly significant effect on the GI of the WJ RIL population (F = 25.019, P < 0.001), whereas no significant environmental difference was observed on the GI of the WZ RIL population ( Table 4 ). 3.3 Allelic variation of TaMFT-3A and TaMKK3-4A in the two RIL populations KASP markers were used to detect the genotypes of TaMFT-3A and TaMKK3-4A to determine the distribution frequencies of the different SNP loci in the two RIL populations ( Figure 3 ).
Determinants of Orchard Meadow Loss Univariate correlation analyses between loss rates and our continuous explanatory variables revealed highly significant (p<0.001) positive relationships for perimeter-area ratio (r = 0.48) and change in settlement and traffic area (r = 0.40) (Figs 4 and 5 ).
There were highly significant differences in food and water intake between the NC and diabetic rats (p < 0.001).
We observed a highly significant reduction (P=0.001) at 30 μM ( Fig .1B ).
Examining all cells and taking the mode I frequency for the multiple-frequency responders, the median percentage change following stimulation was −36%, with interquartile range −46 to −21%, again a highly significant change ( p <0.001).
The E / e ′ ratio showed a highly significant overall time effect ( P < .001).
Interestingly, for this group the ‘after-before’ difference in the VAS scores was highly significant ( P <0.001) and still remained significant ( P <0.05) even if the improvement was reduced to 20 mm.
Type of fruit and fruit color interaction are highly significant for glucose concentrations ( p ≤ 0.001) ( Table 5 ).
Results from the combined ANOVA indicated that environmental variation, genotypic differences, and genotype × environment interactions had highly significant effects (p < 0.001) on all evaluated traits ( Table 2 ).
Regarding colony diameter, a highly significant difference was observed (F 8,18 = 15.85, p = 0.001).
A highly significant negative correlation between FAST and SOFAS scores was found ( r = −0.723, p < 0.001).
When comparing responder and non-responder values with respect to the sensory and the affective pain ratings, non-parametric tests disclosed a highly significant difference between groups in both pain dimensions ( p < .001).
The Moran’s I indices for elevation, slope, and vegetation coverage display highly significant positive spatial autocorrelation, reaching peak values ( P < 0.001) during the Yuan Dynasty.
Following the post hoc screening, the following degrees of significance were established: not significant ( p > 0.05); significant ( p ≤ 0.05); very significant ( p ≤ 0.01); and highly significant ( p ≤ 0.001).
The high prevalence of an advanced lymph node involvement in BSCC was highly significant (all locations: p < 0.001; oropharynx: p = 0.003).
There was no significant difference in OS between the TC and AC subgroups (p=0.786), whereas comparisons between the TC and SCLC subgroups and between the ATC and SCLC subgroups revealed highly significant differences (p<0.001 for each comparison).
Correlations Between the Clinical Judgment on Each of the Three Dimensions of SA and the Score on the Corresponding Subscale of the SAMAS Results of Pearson’s r correlation analyses show a highly significant positive correlation between the declarative score obtained on the SAMAS and the clinical judgment of declarative SA ( r = 0.67; p < 0.001) as well as between score for the anticipatory items of the SAMAS and the clinical judgment of anticipatory SA ( r = 0.62; p < 0.001).
However, in our cohort of dogs, we observed a highly significant positive correlation between these parameters (r = 0.716, p < 0.001).