On the other hand, the results of Bartlett’s test were found to be highly significant ( p < 0.0001).
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SUV max and TBR GGO/consolidation There were highly significant group-wise differences ( p < 0.0001) across both the COVID-19 and BSTI classifications.
Additional statistical analyses based on post hoc estimates confirmed that, for simultaneous investigation of body weight and BMI, the influence of body weight on exposure was highly significant ( p < 0.0001), and of similar magnitude as in the main analysis.
In contrast, the relationship between the human and sloth SPDs is positive and highly significant ( r s = 0.35, P < 0.0001), suggesting those populations fluctuated together from extrinsic factors.
However, a highly significant difference in Treg cell counts between the "acute" and "outcome" time points in paretic dogs ( p < 0.0001, Fig. 4 b) was found.
Whole leaves on intact branches were cropped on <1% of occasions, but 47% of bites cropped from despined branches removed entire leaves; this was a highly significant difference (Chi‐squared test: X 1 2 = 283.13, p < 0.0001).
Two-way ANOVA with dose and exposure time as main factors yielded a highly significant main effect of concentration (F = 30.99, p < 0.0001), and a small effect of exposure time (F = 3.06, p = 0.0828), but the interaction term was highly significant (F = 4.5, p = 0.0009).
The differences were highly significant ( p < 0.0001). 3.4.
For the ILI group, in both the codominant and dominant models, the A/G and G/G genotypes show significantly lower odds ratios for having ILI (0.25, 0.16, and 0.23), and the p-value is highly significant (p < 0.0001).
The prognostic value of MRD remained highly significant when accounting for guarantee-time bias (HR = 0.03; 95% CI, 0.016–0.056; P < 0.0001; Supplementary Table S2).
A highly significant (P < 0.0001) decrease in MWCNT lung burden with post-exposure time was determined.
After imputing missing studies in the funnel plot, adjustment of effect size for possible publication bias using the trim-and-fill correction results in decreased, albeit still highly significant estimate of pooled mean difference (adjusted = −0.36 logMAR; 95% CI: −0.44; −0.28; p < 0.0001).
In patients aged 60 and above, PSA levels showed a strong and highly significant correlation with PI-RADS scores (ρ = 0.671, p < 0.0001).
In the osteogenic medium, PS-E40-treated cells also showed a highly significant increase in mineralization on both day 7 and day 14 ( p < 0.0001). 3.4.3.
The difference in DFS values is highly significant ( P = 0.0001) [ Table 8 ].
Furthermore, comparisons between pre-traction and postoperative angles demonstrated highly significant reductions in both the primary (T = 53.43, p < 0.0001) and secondary curves (T = 14.62, p < 0.0001).
Substance P cells showed a higher frequency of both sEPSCs and mEPSCs (6.04 ± 0.96 Hz sEPSCs, 3.24 ± 0.67 Hz mEPSCs, n = 27 and 11, respectively) than GRP cells (0.2 ± 0.05 Hz sEPSCs, 0.02 ± 0.01 Hz mEPSCs, n = 120 and 32, respectively), and these differences were both highly significant (sEPSC, Mann–Whitney, U = 68, P < 0.0001; mEPSC, Mann–Whitney, U = 0, P < 0.0001; Fig. 6 ).
Effect of location and concentration on susceptibility Larvae GLM revealed a highly significant effect of location (L) on the susceptibility of An . gambiae larvae to P . guineense (F 9, 177 = 2441.18 p < 0.0001) and E . aromatica (F 9, 177 = 614.88, p < 0.0001).
We found highly significant differences in the relative volume of all brain regions across populations (all regions p < 0.0001, figure 2 ; electronic supplementary material, figure S7 and table S9), and between sexes (all regions p < 0.05, figure 2 ; electronic supplementary material, table S9).
The results of the present study reiterated the fact with similar findings of highly significant correlation between the BMI and NC ( r = 0.459, P < 0.0001).
The value of glcH expression observed at 5 nM glucose was highly significant ( p < 0.0001).
Differences considered significant when p < 0.05 (*), very significant when p < 0.01 (**), highly significant when p < 0.001 (***), and extremely significant when p < 0.0001 (****).
These differences are highly significant (Kruskal-Wallis ANOVA: H = 410.78, df = 8, p < 0.0001) comparing apiary ‘density-indices’ between nine landscape classes, summarizing the 55 different types of agricultural landscape defined for Switzerland ( Table 2 , Fig. 3B ).
Those showing highly significant difference ( p ≤ 0.0001) were analysed with the ROC curves to determine the best differentiating values.
Adding an interaction term ((2009 or earlier/2010 or later)*(age group)) to the multivariable modelling showed a highly significant interaction (P<0.0001)—that is, the association between new trans recordings or trans proportions and age group differed between 2000 and 2009 and 2010 and 2018.