All differences between the right and left lung were highly significant (p < 0.0001).
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* P < 0.05, significant; ** P < 0.01, very significant; *** P < 0.001, highly significant; **** P < 0.0001, extremely significant, ns P > 0.05, not significant.
Similarly, the SIC also showed a decreasing trend with respect to the enhanced M-channel conductance (one-way ANOVA, F 4,20 = 337.6, P < 0.0001).
Mixed‐effects ANOVA analysis showed a significant effect of time ( **** P < 0.0001, F 14,140 = 13.02), no significant effect of the genotype ( ns P = 0.1975, F 1,10 = 1.906), no significant genotype × treatment interaction ( ns P = 0.1926, F 1,10 = 1.952) and highly significant time × genotype × treatment interaction ( **** P < 0.0001, F 14,110 = 4.085; Figure 3C,D ).
There is also a clear trend in the increase of the odds ratio estimate with increased number of glaucoma tests (P < 0.0001).
When comparing both right and left eye datasets, the column factor (indicating differences between corresponding LA3 versus RoB records) was highly significant ( p < 0.0001) and the average difference between predicted means was 2.91 ± 0.46 μV for right eyes and 3.0 ± 0.68 μV for left eyes, while the ratio between the predicted means was 1.71 for right eyes and 1.67 for left eyes.
According to the findings, the mean number of promastigotes showed highly significant differences in different concentrations of crocin ( P ≤0.0001).
Correlation analysis There were highly significant negative correlations between anxiety and depression scores and LAC ReHo values in the DON group ( r = -0.9336, P < 0.0001 and r = -0.8453, P < 0.0001, respectively; Figure 5 ).
Figures 1 and 2 illustrate the tumor budding categories. Tumor budding and advanced tumor stage, tumor invasion, vascular invasion, perineural invasion, and desmoplasia were significantly associated. The link between regional lymph node metastases and tumor budding was highly significant (P=0001).
Analysis of cancer genome datasets (TCGA and GTEx) revealed greater NLRP3 and IL-1β expression in cutaneous melanoma samples ( n = 469) compared to normal skin ( n = 324), with a highly significant correlation between NLRP3 and IL-1β ( P < 0.0001).
Highly significant association was found between naive CD4 T cells and CD4+ RTE (all p-values <0.0001).
Analysis with Naïve Bayes model ALT By means of statistical analysis, the difference of ALT levels between NF group and F group is quite significant (p < 0.0001) and the average value of F group is 4.6(336/73) times of the average value of NF group (Fig. 2 A).
However, when considering the cerebellum as reference region, correlations between DVR-1 based on AV shunt and IDIF were strong and highly significant in all regions ( r = 0.978, p < 0.0001 in striatum; r = 0.967, p < 0.0001 in cortex; r = 0.955, p < 0.0001 in hippocampus; r = 0.934, p < 0.0001 in thalamus) (Figure 2B and Supplementary Table 2 ).
Moreover, a highly significant difference in ATF6 expression was observed between diabetic females and males in this region ( p < 0.0001) (Fig. 4 c).
post-treatment), statistically effective pairing for the samples was observed (Spearman rs=0.8031; p<0.0001) and plasma samples from treated patients showed highly significant reduction of arginase activity (36.46 ± 17.17 vs. 17.72 ± 6.201 mU/ml; p=0.0001) ( Figure 3B ).
MYOCD x CSPG4 correlations were highly significant across the brain regions examined in this analysis (P < 0.0001 throughout).
A highly significant positive correlation was observed between p-AKT and Rictor expression in feline carcinomas ( p = 0.0001).
A positive da value was highly significant ( t = 21.463, p < 0.0001), showing a higher response in antibody level for the vaccinated group (~16x higher scaling response, a control ~ 0.03; a vaccinated = a control + da ~ 0.52), and a higher antibody level over time following vaccination.
A non-parametric trend test revealed a significant trend in their responses (Page’s trend test, z = 5.16, p < 0.0001).
This difference was highly significant (p<0.0001).
This was confirmed via a 2-way permutational multivariate analysis of variance (PERMANOVA) analysis which identified a highly significant effect on diversity between adult, tadpole and water samples (F = 10.71; df = 2; p = 0.0001), a significant effect due to the housing conditions (F = 2.84; df = 1; p = 0.0056), but also a significant interaction effect due to the fact that diversity in tadpoles differs significantly between clean and standard conditions whilst it remains consistent in adults (F = 2.69; df = 2; p = 0.0011).
We tested whether WBISI correlated with indices based on fasting measures and found a highly significant correlation between WBISI and QUICKI (r = 0.905, p < 0.0001).
The combination between SCF and LRG1 showed highly significant difference in CRC patients compared with benign, healthy subjects, and among CRC groups (treated and non-treated) ( p < 0.0001).
The path coefficient from Mg intake to HbA1c was large ( ρ = −0.127) and highly significant ( P < .0001), indicating that the relationship of Mg intake and HbA1c is a robust and true observation, not by chance.
The decrease in growth rate due to the increase in dose was highly significant ( p < 0.0001).