Excerpts

When analysing the mean changes in body weight in the individual groups, the highest, highly significant ( p < 0.001) decrease in this parameter compared to the baseline results was observed in GIV (by 5.35%), and the lowest, in GI (by 1.49%).

The results of the univariate linear regression analysis indicated a highly significant negative correlation between the sqrt of MMA and cognitive score ( B = −0.47, p < 0.001).

Medication-related burden showed a moderately significant positive association with VAS score ( r = 0.561, p < 0.001) and ARMS score ( r = 0.518, p < 0.001).

The chi-square test is highly significant (p < 0.001), which means that SNP variant frequency (C/C, T/C, T/T) varies significantly in asthmatic and non-asthmatic individuals.

ARE analysis showed that in the brain, the NE@C6 group had higher ARE values than the C6 group at all time points except 10 min, with a highly significant difference at 30 min ( p < 0.001; Figure 4 B).

38.6%); highly significant statistical differences were observed ( p < 0.001).

Additionally, RFM had a highly significant positive correlation with FM% (r = 0.751, p < 0.001), and changes in RFM during the lifestyle intervention were significantly correlated with changes in FM% [ 84 ].

These primary associations were confirmed by non‐parametric sensitivity analyses, where the correlation between visceral sensitivity and NEQ scores remained highly significant (Spearman's rho = 0.388, p < 0.001).

The left ONSD measured a median of 0.35 mm in the asphyxiated group at 24 h, compared to 0.31 mm in the control group, with a highly significant p-value < 0.001.

The multivariate Cochran Q test for heterogeneity is highly significant ( p -value < 0.001), and the related I 2 statistic indicates that 63.7% of the variability is due to true heterogeneity between regions.

In addition, a highly significant interaction (21 days × 70 days) was found for the bursa of Fabricius index ( p = 0.001).

It was highly significant ( P <0.001) in control after 8 days of stress (Figure 3 ).

However, when compared with healthy controls, we found that the patients with CFEOM1 showed a trend of ALFF increase (p< 0.001, uncorrected) in the right inferior parietal lobe and right frontal cortex and also a trend of ReHo increase (p<0.001 uncorrected) in the left precentral gyrus, left orbital frontal cortex, temporal pole and the posterior division of cingulate gyrus ( Table 3 and Fig 3 ).

The data obtained were found to be very highly significant ( P < 0.001).

A highly significant linear trend could be demonstrated, F (1, 56) = 336.72, p < 0.001, partial η 2 = 0.857 which was completed by a quadratic trend, F (1, 56) = 11.18, p = 0.001, partial η 2 = 0.166 and one of the 6th order, F (1, 56) = 19.137, p < 0.001, partial η 2 = 0.255.

Statistical analysis All data were expressed as mean ± standard deviation (SD) and analyzed using the one-way analysis of variance (ANOVA) with statistical significance assigned at * P < 0.05 (significant), ** P < 0.01 (highly significant), and *** P < 0.001 (most significant).

The change was statistically highly significant ( p < 0.001) in four parameters: activities of daily living (ADL, UPDRS II), motor score (UPDRS III), dyskinesias (UPDRS IVa), and fluctuations (UPDRS IVb).

This robust superiority of binocular viewing was also found to be highly significant (p < 0.001) by 2-way ANOVA with eyes (Binocular/Poor) and presentation time [ms] (60,120,240,320,480) (Table 2 ).

Moreover, the multiple regression analysis in Table 3 shows a highly significant positive association of only duration of T2D with DR (p < 0.001) while no association between DR and HTN, currently smoking, uncontrolled T2D, age, and total cholesterol was noticed in contrary to the findings in the univariate regression.

A Procrustes test comparing the NMDS plots of composition and function at the end of the experiment recovers a strong and highly significant correlation: 0.8991, p = 0.001 (Fig. 4c ).

For exudates, the AUC was 0.820 (95% CI, 0.751-0.877; Z = 8.157; SE, 0.0393), with a highly significant P value ( P < 0.001).

CC literacy and FP literacy had a moderately significant correlation ( r = 0.35, p < 0.001).

Although all regression models were highly significant ( P < 0.001), effect sizes for these models were small ( R 2 adjusted = 0.021–0.095).

Upon examining the association of TAMs with OSCC, it was observed that, intriguingly, the number of TAMs decreased with increasing OSCC grade, demonstrating a highly significant difference ( P < 0.001) [ Table 1 ; Figures 1 and 2 ].

The difference calculated came out to be highly significant p <0.001 ( Table II - III ).