The second candidate model which incorporated tensile properties (referred to as “w/tensile”) was highly significant ( p < 0.001), reinforcing the strong relationship between extrusion parameters and mechanical properties.
Excerpts
Pairwise comparisons demonstrated a significant decrease (p < 0.05) on Day 2 compared to Day 1, and a highly significant decrease (p < 0.001) on Days 3, 4, and 5.
Overall, there was a highly significant effect of bait type on “efficacy” (Chi 2 = 23, df = 2, p < 0.001).
Figure 2 shows the highly significant main effect of ROI ( F (2, 481) = 547.49, p < .001), with highest responses in the MO region and lowest responses in the LOT region ( t (481) LOT‐MO = −30.98, t (480) LOT‐ROT = −5.26, t (481) ROT‐MO = −25.76, all p Bonferroni < .001).
The association between PLR, NLR, MLR, SII and all-cause mortality and cardiovascular mortality The Kaplan–Meier curve revealed an increasing trend in long-term all-cause mortality and cardiovascular mortality rates with higher levels of PLR, NLR, MLR, and SII ( P < 0.001, Fig 3 – 4 ).
Season of blood collection was also highly significant (p < 0.001) in these sex-specific mutually adjusted models.
The positive effect for a dense stroma quality was highly significant in the observation group ( P= 0.001), but not in patients who received adjuvant chemotherapy with gemcitabine.
SBP and DBP decrease from baseline was highly significant ( P < 0.001).
The lower maternal educational level increased the risk for ER visit, with a significant trend (p < 0.001).
Highly significant correlations were observed between VE and VCO 2 during the incremental test (r = 0.96; P < 0.001) (Fig. 3 A) and the constant load test (r = 0.86; P < 0.001) (Fig. 3 B) in the SARS-CoV-2 patients.
This model showed that there was a highly significant moderated effect ( Figure 6 , P<0.001).
Results: The result was a highly significant correlation ( r : −0.885, P < 0.001) that clearly identifies a mechanical factor in AGA development.
“Good” (Estimate: −5.01, p < 0.001) or “Very good” (Estimate: −5.46, p < 0.001) had significantly association with the number of dental caries compared to those with poorer self-perception, with “Satisfactory” ratings approaching significance (Estimate: −5.21, p < 0.001).
Pairwise F ST estimates between museum and contemporary samples were moderately large and highly significant (all F ST > 0.1, P < 0.001; Table 2 ), but there was no significant differentiation between the 1997 and 2011 populations ( F ST = 0.001, P = 0.2; Table 2 ).
Statistical analysis showed that the difference was extremely significant, p < 0.001 (Fig. 3b ).
We found a significant trend in proportions of depression at higher levels of use of sleep-aid medication (trend test z = 6.74, p < 0.001) and among those experiencing sexual harassment (z = 3.18, p = 0.001) or verbal harassment (z = 6.13, p < 0.001).
The differences were highly significant ( p < 0.001).
If normalized data is used (Box-Cox and Johnson) and all samples for the park and street trees are regressed together, a similar conclusion of BD influencing BSR rate is reached and is statistically highly significant (p < 0.001).
Highly significant depletion ( P < 0.001) in serum vitamin E was observed in our study.
Although the minimum/maximum TNAP values as well as the 25%/75% percentiles varied in a wide range, the induction of TNAP activity by OM/D was highly significant ( p < 0.001) for all groups.
6 A) was highly significant, F (1.4, 14.1) = 13.76, p = .001, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\eta }_{p}^{2}$$\end{d
Specifically, OAS3, MMP1, TMSB10, PFN2, WARS1, TRIB2, GBP1, and TNFRSF10B exhibited extremely significant overexpression with adjusted P value (adj.) P < .001, while MBNL3 showed a significant difference in expression (compared with normal tissues) with an adj.
Given the highly significant correlation between START and END levels ( r (84) = .45, p < .001), and both levels being associated with cognition, we used hierarchical linear regression to examine whether these cortisol measures both contributed uniquely to the variance in cognitive change.
Also illustrated is a highly significant sexual dimorphism in all three races for LFH (P< 0.001).
Statistical analysis confirmed that all conditions showed highly significant differences compared to dead gDNA (+PMA) across all concentrations tested ( p < 0.001 for all comparisons; Supplementary Data S1 ).