Among males, an increasing trend was observed from 2013 to 2018 ( APC = 10.29%, P < 0.01), followed by a significant decrease starting in 2018 ( APC =−30.78%, P < 0.01).
Excerpts
Differences in ratings of intensity between baseline and immediately after CBT were found highly significant (t value = 27.519, p<0.01).
We found that there were highly significant correlations ( p < 0.01) between anxiety-state and anxiety-trait and the different dimensions of OHRQoL, whereby higher values of anxiety in patients at their first dental consultation were associated with worse OHRQoL, especially in the dimensions of functional limitation, emotional well-being, and social well-being ( Table 7 ). 4.
After exercise interventions for 12 weeks, the results showed that there was a highly significant correlation (P= 0.01, r= 0.78) between the level of DHEA/S hormone and physical activity level (LPTA).
Heterogeneity was not present for RCTs (Q = 3.48, df = 2, p = 0.18; I2 = 42%), but highly significant for non-RCTs (Q = 12.41, df = 4, p = 0.01; I2 = 68%).
The Mantel test network shows that most links to DPPH, FRAP, and TAC are highly significant ( p < 0.01, R ≥ 0.4), indicating that phenolic acids and flavonoids (e.g., isorhamnetin-3- O -rutinoside, aromadendrin) are major contributors to TAC.
The incidence of diseased plants was analysed, which revealed highly significant effects of the treatment (i.e., Fusarium isolate) on the incidence variable ( p < 0.01).
There were highly significant differences ( P <0.01) in hypocotyl weight/size of four Maca phenotypes harvested in two locations.
1 b), and the difference was highly significant ( P = 0.01, Mann–Whitney test [MWT]).
The difference in CP between the two populations was highly significant [ P < 0.01, Wilcoxon rank sum (WRS) test], although the informativeness of the neurons about the sensory stimulus (neurometric value) did not differ between the two subpopulations ( P > 0.05, WRS test).
Differences were considered statistically significant at p < 0.05 and highly significant at p < 0.01.
One-way ANOVA was followed by LSD multiple comparisons and the Wilcoxon test when nonparametric tests were necessary ( p < 0.05 was considered significant, and p < 0.01 was considered highly significant).
Mauchly’s Test of Sphericity was used, and in the multiple comparisons were used the Bonferroni post hoc test with significant changes at p < 0.05 and highly significant differences at p < 0.01.
Birth type exerted a highly significant influence ( p < 0.01 ) on birth weight, with single-born lambs being heavier than twins.
There were significant differences in staining efficiency and cell viability at 5 msec and 10 msec ( p < 0.05), and extremely significant differences between 10 msec and 15 msecs ( p < 0.01) ( Figure 4 E,F).
In total, 80 bacterial–metabolite pairs showed significant associations ( p < 0.05), including 31 highly significant pairs ( p < 0.01; Fig. 5 D).
Differences were considered statistically significant at p ≤ 0.05 and highly significant at p ≤ 0.01.
The one-way repeated-measures ANOVA (24 participants), with the 3 presentation modes, temporal, spatial and spatio-temporal, as independent variable (averaged across stimulus variables), showed a somewhat significant effect, F (2, 46) = 6.75, p < .01.
The TX90p (percentage of warm days) presents an increasing trend in the historical period (z = 2.87, p < 0.01) but shows fluctuations in the future.
We did find marginally significant differences in Shannon’s H between these populations ( P = 0.01 and 0.03 at 3,000 and 6,500 rarefaction depths, Kruskal–Wallis test).
In the results, different capital letters indicate highly significant differences ( p < 0.01), different lowercase letters indicate significant differences ( p < 0.05), and the same letter indicates non-significant differences ( p > 0.05) within the same line. 3.
Significance was determined for highly significant differences at p ≤ 0.01 (A and B) and for significant differences at p ≤ 0.05 (a and b). 3.
A highly significant difference was also observed for the consumption pattern of fruit intake ( P < 0.01).
The phase average wavelength and MoCA scores were negatively correlated in 13 brain regions (81.3% of the total, P < 0.05), and 10 of them were highly significant ( P < 0.01), indicating that the lower the cognitive score, the longer the wavelength.
Similarly, a moderate negative correlation was found between APLNR and VEGF (r = −0.46), although it did not reach statistical significance ( p = 0.01), with approximately 20% of the variability in VEGF explained by APLNR (r 2 = 0.20).