Results The results of the Pr values showed that the main effect of material valence was highly significant [ F (2, 116) = 101.659, p < 0.001, ηp 2 = 0.637].
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Correlation analyses Correlations with disease duration As demonstrated in Table 3 , disease duration showed highly significant correlations with MD values in PU (r = 0.58; p<0.001), GP (r = 0.34; p<0.001), SN (r = 0.41; p<0.001), SL 2 (r = 0.33; p<0.001) and SL 3 (r = 0.25; p<0.001) as well as with R2* in SL 1 (r = -0.36; p<0.001).
Chi-squared analysis revealed a highly significant difference in observed mortality compared with expected values between the control and burial groups (χ 2 = 66.7, df = 1, p<0.001), therefore controls were omitted from further analysis regarding burial mortality.
The association between PPH and anaemia status at discharge from the hospital was highly significant (p<0.001), while there was no association between PPH and anaemia during pregnancy or at 6 weeks postpartum.
Furthermore, the box plot showed a highly significant difference in the mean expression levels of RBMS3 between NPC tumors and non-tumor samples (p<0.001; Fig. 1B ).
For all the four variables, a highly significant trend was apparent to a progressive increase with age (p<0.001) and more so in the transition from the peri-pubertal age to adolescence.
However, the association was highly significant (p = 0.001) and remains significant after a Bonferroni correction (p = 0.018).
These personality attributes displayed the most dominant effects on SWB, showing large positive coefficient values (2.50 and 2.42 for emotional stability and extraversion respectively) that were highly significant (p-values <0.001).Both variables appeared in all the component models used to compute the model average (relative importance of 1.00 for both).
The difference is highly significant: t ( df = 27.0) = 6.10; p <.001.
The correlation between predicted ranking and adoption probability is negative and highly significant (−0.013, p < 0.001).
Results Synchrony versus Pseudosynchrony The comparison of genuine synchrony to pseudosynchrony indicated that the phenomenon of nonverbal synchrony was present at a highly significant level and with a medium to high effect-size ( t = 4.91, p < .001, Cohen's d = 0.7, n = 27).
This point of change was highly significant ( p <0.001), and the following piecewise linear regression equation can be used to model the underestimation of clay (UnClay) at Highfield: (2) UnClay = − 0.78 ( p = 0.19 ) + 0.66 ( p = 0.07 ) SOC + 5.22 ( p < 0.001 ) ( SOC − 2.27 ) + , R 2 = 0.90 The last term in the equation is only applicable for SOC contents above 2.27 g C 100 g -1 minerals.
Highly significant (the level of significance P < 0.001) linear predictors of the AWS were flow, velocity, season (March), depth, cross-sectional area, and of interactive terms were velocity and depth, and velocity and season (March).
3.2 DTI change over time There was a highly significant change in most DTI parameters for both NAWM and All_WM with p-values ≤0.001 ( Table 2 ).
A paired t-test revealed that this effect was highly significant (t = 10.35, df = 62, p < 0.001 for Experiment 1; t = 36.2, df = 1538, p < 0.001 for Experiment 2).
Musk deer relative abundance showed highly significant differences among study areas (F 5,49 = 27.82, P<0.001).
The combined effect of altitude, mountain range, and selected soil chemical properties explained 27.8% of the total microfaunal compositional variation and was highly significant ( F = 3.0, P = 0.001).
Identities were accepted in some cases if the above parameters were met and only one peptide match was found along with an expected value that was highly significant ( P <0.001) for the peptide match and the MASCOT protein score was 70 or greater for that single peptide match.
The superiority of the two-factor model over the single-factor model was further supported by a lower Akaike Information Criterion (AIC) value for the two-factor model (AIC = 4376.1) as compared to the single-factor model (AIC = 4712.9) as well as a highly significant model comparison (Δχ 2 (1) = 1238.8, p < .001).
Gene set tests were highly significant for both Schmid versus wildtype and Cog versus wildtype ( p ≤0.001 in each case).
The genetic differentiation among the five geographical subpopulations observed in the analysis of STRUCTURE results according to [52] was confirmed by highly significant (p<0.001) F ST values for all but one pair-wise comparison after multiple test corrections ( Table 1 ).
8/153 (5.2%), p = 0.001) than HIV-negative adults, which remained highly significant even after adjusting for age, gender, adiposity and socioeconomic status (OR = 5.72 (2.78–11.77), p<0.001).
P53 and ribavirin were treated as different factors and both of them were highly significant (p<10 −3 ).
These findings imply highly significant mediational processes in which age ( β = -0.034, p < .001), education ( β = -0.120, p < .001), self-rated health ( β = -0.035, p < .001), and comorbidities ( β = -0.026, p < .001) were negatively associated with baseline GFD through baseline LTA participation.
Although the association of eGFR with LDL-C lost significance after further adjustment, the associations of eGFR with apoC-III remained highly significant in the fully adjusted model that also accounts for urinary ACR (p = 0.001).