Surprisingly, the most potent NAC version in preventing protein aggregation was α ΔUBA β-NAC ( Fig 6A , lane 10 and S1 Table , p = 0, highly significant).
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Spearman correlation showed that there was an extremely significant linear relationship (r=0.16, 95% CI=2.41–13.44, P <0.000) was observed between number of drugs taken and ADRs.
In contrast, computer skills showed a highly significant relationship (p-value = 0.000), indicating that better computer skills are strongly associated with greater PU.
Between-group analysis at follow-up demonstrated a highly significant reduction in perceived stress in the Yoga group, with an average change of −7.425 ( p = 0.000) compared to the UCG.
We found all χ 2 statistics were highly significant (p ~ 0), and therefore not reported.
The highly significant effect is of actual behavior on academic performance as (β = 0.558, t value = 9.571, p values = 0.000, p < .01).
Sex effects revealed a highly significant ( p = 0.000) AUC in all the groups even at each time point.
Paired statistical testing confirmed that the increase was highly significant, with both the paired t-test and Wilcoxon signed-rank test yielding p ≈ 0 .
In patients with anaemia, FCM therapy was followed by significantly lower rates of death due to worsening HF ( P = 0.013) and hospitalization for any cardiovascular reason ( P = 0.026) compared with placebo, and there was also a weak trend towards a lower rate of hospitalization for any cardiovascular reason or death ( P = 0.·094).
Results The two-way repeated measures ANOVA showed that there was a highly significant time effect on participant’s Insulin level (F (1.8, 53.6) = 10.64, P < 0 0.000, ηp 2 = 0.269).
In Group I, a statistically highly significant difference was found in the mean GI score at 30 days from baseline ( P = 0.00) and statistically significant difference was observed from baseline to 45 days ( P = 0.039).
The correlation analysis of bone fraction (osteocalcin) and BV/TV (InVesalius + ImageJ) was highly significant ( p = 0.0000), with a moderate effect strength (rho = 0.4942) ( Figure 2 a).
Regarding descriptive statistics for these results, the F test of one-way ANOVA shows a highly significant difference in surface roughness ( P -value = 0.000) among the five groups (C1, C2, P3, P5, and P7), as shown in Table 3 .
The hypothesis test demonstrated a highly significant relationship between awareness of consequences and attitude (H4) ( t = 8.164, p = 0).
In both cases, there was considerably significant heterogeneity (I 2 83%, p = 0.00; I 2 89%, p = 0.00).
Among these pairs, four exhibited highly significant values ( p = 0.0000 +/− 0.000), which are highlighted in bold red in Table S4 .
Using correlation analyses, we found a highly significant correlation between e-GFR estimated by the Hull-equation and both the original MDRD equation from 1999 (r = 0.978, n = 51, P < 0.000) and the new MDRD equation from 2009 (r = 0.985, n = 51, P < 0.000).
The statistical difference was apparent (P=0.000).
Results Intra-group comparison of pain and intra-oral swelling had highly significant (p = 0.000) results for both groups over a period of 12 months.
Results The results of statistical analysis and structural equation modeling (SEM) indicated that teachers’ immediacy behaviors (verbal, nonverbal) had a highly significant influence on EFL students’ WTC (ß=0.89, p = .000) and academic engagement (ß=0.71, p = .000).
3.4 Correlations between clinical indicators and white and gray matters variables Correlation analysis explicitly showed significant negative correlations between decreased KFA values in the left CST and left ATR and neurocognitive test scores in the MHE group, including NCT-A scores (negative correlation, significant, r = −0.056, p = 0.001; Figure 3A ), NCT-B scores (negative correlation, significant, r = −0.411, p = 0.024; Figure 3B ), and LTT scores (negative correlation, highly significant, r = −0.610, p = 0.000; Figure 3C ).
Additionally, stoma color and stoma edema were highly significant factors, with ORs ranging from 0.001 to 0.085 (95%CI: 0.010, P = 0.000) and 0.206 to 0.594 (95%CI: 0.350, P = 0.000), respectively.
A chi-square for trend showed a significant trend over the referral categories for mortality within the first 3 days, within 1 month and within 1 year ( P = 0.000 for each).
Analysis of variance revealed highly significant differences among the groups ( F = 15.89, p = 0.00).
Comparison with an established method (TWI) Kendall's test for nonparametric correlation between the quantitative measurements (RFSA%/MISA) and the ordinal macrowear score (based on TWI) found a highly significant ( p < 0.000) moderate to strong relationship for both variables (RFSA% and MISA) in both deciduous molars (RFSA%: 0.616 strong/MISA: 0.709 strong) and permanent molars (RFSA%: 0.459 moderate/MISA: 0.563 strong).