We found individuals spent a lower percentage of their time being active during the non-breeding season than in the breeding season, this was statistically highly significant when activity was measured using activity sensors on the tag (F 1,42 = 193.66, p < 0.0001, Fig. 4 ) and when measured using the change of locations (F 1,42 = 232.41, p < 0.0001, Fig.
Excerpts
Pearl development kinetics Analyzing kinetics data over the 12 months of the study, we observed, as expected, a very highly significant difference in nacre thickness between harvest times ( p < 0.0001).
At both time points, highly significant increases in STAT6 phosphorylation (pSTAT6) (Fig. 3 b,c), as well as pSTAT3, was detected in both T cell subsets (p < 0.0001 for all) (Fig. 3 d–f).
The model exhibited a highly significant fit, with an F -value of 452.49 and a P -value < 0.0001.
All these final selected variables showed a highly significant negative relationship with the infection rate (p < 0.0001; Tmin r = − 0.25, AP r = − 0.23, RH r = − 0.21).
Across all responses, the positive coefficient of the curing period (Factor B) was found to be highly significant ( p < 0.0001), indicating that longer hydration time is the strongest contributor to strength development, primarily due to progressive hydration and pozzolanic conversion of SCMs into additional C–S–H gel.
A highly significant correlation with r = 0.73 and coefficient at 0.82 [0.75–0.89] (p < 0.0001) was obtained.
The differences in Q ′ values between the control and CVD cohorts are highly significant, with two-tailed p -values < 1 × 10 −4 (Fig. 3 and Supplementary Table S3 ).
The statistically and practically significant differences in baseline characteristics amongst the participant categories were as expected for age ( p < 0.0001), disease duration ( p < 0.0001), ever smoker ( p = 0.0020), pack years ( p = 0.0003), antifibrotic treatment ( p < 0.0001), and immunosuppressive treatment ( p = 0.0003).
The analysis revealed that the Blanc treatment positively improved tooth brightness across all three experiments, with a highly significant effect ( p < 0.0001).
These metabolites were also found to be highly significant based on the univariate statistical analysis, after correction for multiple testing (Benjamini-Yekutieli correction) with corrected p -values < 0.0001 for each differential metabolite.
By week 1, the Col/Cs/A-PRF group showed a significant reduction in BMD (~ 650 HU) compared to the C group (~ 750 HU), with a highly significant difference ( p < 0.0001).
Thus, the Multivariate Linear Equation (MLE) of LFI as a function of the experimental conditions of S, pH and TA/S, yields a highly significant fit (p << 0.0001) as seen in the comparison between the measured LFI and the calculated LFI (Fig. 2 ).
Lead treatment had a highly significant effect ( P < 0.0001) in chlorophyll a, with lower concentrations observed at higher lead doses.
control) and years were highly significant (treatment: df = 1; χ 2 = 22.18, P < 0.0001; year: df = 2; χ 2 = 824.73, P < 0.0001), while the interaction (treatment × year) was not significantly different (df = 2, χ 2 = 4.03, P = 0.1332).
The Chi-square test confirmed a highly significant association between age group and histological diagnosis (χ2 = 849.99, df = 4, p < 0.0001).
This model explains more than 50% of the data variance (R 2 marginal = 48.3%; R 2 conditional = 53.3%) and shows a highly significant effect of the colour of the lights ( p -value < 0.0001, Estimate = 0.41) with red lights prompting the answer “warmer” and blue lights prompting the answer “colder” (Fig. 4 ).
We found a highly significant difference between intra- and inter-subject mean durations (Student’s t -test, t (18) = 13.926, p < 0.0001; Fig. 5 B, upper-right inset).
When animals that received nerve injury or pharmacological block were pooled together (one-way ANOVA; F(3,60) = 7.3, p = 0.0003) the increased responsiveness reached significance already in the first protocol after deafferentation (Dunnett test; p = 0.0289), transiently lost significance in the second protocol (p = 0.12) and was again highly significant in the third protocol (p<0.0001).
These differences were highly significant ( p < 0.0001).
Among functional echocardiographic parameters, E/A ratio (p < 0.0001) showed a decreasing trend, whereas E/e’ ratio increased (p < 0.0001) with age.
The comparison between groups gave highly significant differences (ANOVA P < 0.0001****).
The association between obese and CRC in overlapping DMRs was highly significant as suggested by Chi square test (p < 0.0001).
All comparisons were statistically significant at P ≤ 0.0001, except DILC, which remained highly significant ( P = 0.0001).
The risk difference (RD) for overall dentitional anomalies in the UCL phenotype was highly significant when compared with the control group ( p ≤ 0.0001, RD = 0.36, 95% CI = 0.29,0.43).