showed a trendp < 0.0001
The frequency of clinch attacks showed a trend for diminishing along the exposure trials [F (1,18) = 33.72, p < 0.0001; F (2,36) = 2.9, p = 0.07 for genotype and trial sequence effects respectively, in 2way RM-ANOVA].
The frequency of clinch attacks showed a trend for diminishing along the exposure trials [F (1,18) = 33.72, p < 0.0001; F (2,36) = 2.9, p = 0.07 for genotype and trial sequence effects respectively, in 2way RM-ANOVA].
The statistical analysis using ANOVA test with equal sample size across groups ( n = 10) revealed a highly significant difference among the different current levels ( p < 0.0001), indicating that the response was strongly dependent on the magnitude of the applied current.
Kaplan–Meier ‘survival analysis’ applied to freedom-from-tumors, followed by a stratified log-rank test for equality of survivor function showed a highly significant difference between the Keap1 flox/flox /Nrf2 +/+ and Keap1 flox/flox /Nrf2 −/− groups (χ 2 = 14.5; p < 0.0001).
The model exhibited a highly significant fit, with an F -value of 452.49 and a P -value < 0.0001.
The linear regression analysis of the data showed a strong and highly significant relationship between TPI measures across the two epochs, as described by a slope value of 0.88 and a R 2 of 0.85 (F = 140.98, p < 0.0001; Fig. 5B ), with all data points laying either in the upper right quadrant (consistent preference for Reach-to-Press) or in the lower left quadrant (consistent preference for Reach-to-Grasp).
The 15 mg/kg bw group showed significant elevations ( p < 0.0033), while the 60 mg/kg bw group demonstrated a highly significant increase ( p < 0.0001).
When comparing users to their friends, this correlation is highly significant with a p ≤ 10 - 4 .
Both nuisance factors were highly significant (sample size: X 2 = 58.407, df = 1, p < 0.0001; mean quality of fixes: X 2 = 11.268, df = 1, p = 0.0008), indicating that these factors play an important role in determining home range size using 95% KDE and that it is justified to account for them in our models.
Two-way ANOVA showed highly significant effects of treatment, cell death state, and their interaction (F (15,48) = 1810.36, p < 0.0001), confirming that treatment-dependent differences varied strongly across states.
Stake size’s effect on cooperation rate in each role was highly significant in the first three roles (generalized linear mixed model analysis: simultaneous role, F (2, 1434) = 82.90, P < 0.0001; first player role, F (2, 1434) = 76.88, P < 0.0001; second player role in which the first player cooperated, F (2, 1434) = 32.04, P < 0.0001).
In pancreas, the correlation between MRPS6 and HSP9A , HSPD1 , LONP1 and CLPP was highly significant ( P < 0.0001) and strong (R = 0.68, 0.60, 0.65, and 0.49, respectively) (Fig. 2 B).
M1 and M2 and M3 vs MCF7 WT and MCtrl, showed an almost four-fold increase with a highly significant difference between KO and Ctrls respectively (p ≤ 0.0001).
Using a mixed model to allow for correlation of the data, we found a highly significant difference (p < 0.0001) between weak and strong tapping ( Figure 1d ).
( 11 ) and the analysis of variance in Table 4 , the model shows a highly significant fit with P < 0.0001, the lack-of-fit is not significant (P = 0.8173 > 0.05), indicating no lack-of-fit exists.
4 a) showed a highly significant interaction between culture medium and initial inoculum concentration ( p < 0.0001), indicating that the effect of inoculum depended on the culture medium.
reported that location effects were highly significant ( P < 0.0001), and wheat grown in Winnipeg with the highest altitude had the highest antioxidant activity 47 .
The analysis of the median expression of annotated genes located on each chromosome highlighted an extremely significant reduction (Wilcoxon rank-sum P < 0.0001) of X -linked genes expression in the premeiotic population I, showing a median value of 37.0 log2(FPKM), compared to the meiotic population II (8.1 log2(FPKM)) and III (1.5 log2(FPKM)), as well as the postmeiotic population IV (1.9 log2(FPKM)).
The genotypic variance for all the traits during both the seasons was highly significant ( p < 0.0001).
Beta diversity analysis reveals a highly significant difference in community membership between the breast and skin tissue microbiota, as indicated by unweighted UniFrac analysis (MiRKAT P < 1e-4, Fig. 2E ), but the difference is not significant in weighted analysis (MiRKAT P = 0.14, Fig. 2F ), indicating that the major difference lies in the rare or less abundant lineages 22 .
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).
Detection of recombination, using the pairwise homoplasy index test (PHI-test), was marginally significant in the HCV Sanger data set ( P = 0.043), and highly significant in the HIV-1 data set ( P < 0.0001).
Importantly, multivariable Cox analysis demonstrated that CCNF remained a highly significant predictor of OS independently of histologic grade and TNM stage (HR 2.86, 95% CI 2.02–4.06, p < 0.0001; Table 4 ).
Two-way ANOVA statistical summary demonstrated that the clinical status had a highly significant impact on these levels (F (1, 36) = 26.59, p < 0.0001).
Statistical analysis indicated highly significant differences ( p < 0.0001) between N3 and N3-O formulations, confirming that sonication significantly enhances the antimicrobial activity of Ni2CoS4 HSs across both Gram-positive and Gram-negative pathogens.
The interaction between plasma treatment and salinity was highly significant ( P < 0.0001) across all GP parameters, highlighting the complex relationship between these two factors.