“extremely significant”

A P < 0.05 was established as statistically significant; significant: 0.01 < P < 0.05; very significant: 0.001 < P < 0.01, and extremely significant: P < 0.001.

However, there were extremely significant differences in video duration and information quality ( P < 0.001).

Participation R3"Preside over or participate in scientific research projects and patent applications"activities has an extremely significant promoting effect on the improvement of professional abilities ( t = 2.72, p < 0.001).

As can be seen from Table 4 , the model is extremely significant ( p < 0.001), the coefficient of determination R 2 of the model is 0.9973, and the lack of fit is not significant (0.7224 > 0.05).

The two measurements showed an extremely significant association ( r = 0.864; P = 0.001.

The statistical analysis of the cerebral infarction area revealed a significant difference between the RSV10 and MCAO groups ( P = 0.0133), and an extremely significant difference between the RSV20 and MCAO groups ( P < 0.001).

None of the blood biochemical parameters exhibited significant differences between the ZF0 and ZF1 groups compared with both the control groups ( Table S9 ). Only the cholesterol (CHOL) levels in the ZF1 group and low-density lipoprotein (LDL) levels demonstrated extremely significant differences compared with the DF1 group ( p < 0.001).

The analysis of 7 MGEs showed a positive correlation with ARGs (r > 0.80, p < 0.01), particularly TNPA-07 , TNPA-02 and TNPA-01 were extremely significant positive correlation with aminoglycosides, β-lactams, MLSB, FCA, tetracyclines, and vancomycin (r > 0.80, p < 0.001).

There was no significant difference in FAK expression, but p-FAK expression showed an extremely significant difference ( P < 0.001).

Although Tajima's D values were negative for both the East (−0.6719) and West lineages (−0.5305) (Figure S4 ), there was an extremely significant difference ( p < 0.001) between the two lineages.

Zinc (Zn) concentration exhibited an extremely significant difference ( F 0.05(1,45) = 42.815, p < 0.001), though its absolute values were negligible in both areas.

In the correlation analysis, 4-pentenoic acid showed an extremely significant negative correlation with Pediococcus spp. in nettle silage ( P < 0.001).

A comparison of the magnitude of these decrements between the two groups revealed that the HWL group experienced a larger reduction in body weight, BMI, waist circumference, hip circumference, body fat percentage, body fat mass, free fat weight, body water, and skeletal muscle mass compared with the LWL group, with the differences being extremely significant ( p < 0.001).

The ACC of the high-altitude group was higher than that of the low-altitude group, with the difference between the two altitudes being extremely significant as determined by one-way ANOVA (p < 0.001).

One-way ANOVA revealed that crack depth had an extremely significant effect on R -value ( F (10, 429) = 35.5, p < 0.001).

There were extremely significant differences among various age groups in term of aggression and NSSI ( P <0.001).

However, it exerted an extremely significant effect on the drip loss rate ( p < 0.001).

While CRP continued to function as a predictor, SII was incorporated into the model in the second step [OR 1.002 (95% CI 1.001–1.002)], SII was extremely significant [B = 0.002, SE = 0.000, Wald = 12.462, P < 0.001].

RZ exhibited significant ( P < 0.01) and extremely significant ( P < 0.001) differences in appearance and flavor compared to LY, SC, and GZ, whereas no significant difference ( P > 0.05) was observed between RZ and QD.

p < 0.05 was considered statistically significant, very significant if 0.001 < p < 0.01 and extremely significant if p < 0.001.

As shown in Table 2 , school bullying was an extremely significant positive predictor of depression ( β = 0.87, p < 0.001), and the fit index R 2 showed that the predictive model of school bullying on depression explained 6% of its variance.

Statistical analysis using Tukey’s test demonstrated that extremely significant growth inhibition occurred when Tb(III) concentrations exceeded 1.5 mM ( p < 0.001), showing a clear dose-dependent pattern.

The dyed fabrics with different (SDs) synthesized dyes exhibited an extremely significant differences in K/S values compared to the undyed fabric (p > 0.001).

In our study, the overall acceptance rate for COVID-19 vaccination was found to be 82%, which was found to be extremely significant ( P = 0.001).

In contrast, the Au/CeO X (0.93)@SA group exhibited extremely significant differences in the levels of pro‐inflammatory factors such as TNF‐α, IL‐17F, IL‐6, and IL‐1β compared with the induced group ( p < 0.001).