“highly significant”

This represented a substantial reduction in grain size with the speed sintering procedure, and the difference was highly significant ( p < 0.001).

The result was highly significant ( p < 0.001), confirming that mean echogenicity values differ significantly across tissue types.

The log-rank test indicated a highly significant difference in survival distributions between the two groups ( p < .001).

Finally, we demonstrated a highly significant ( P < 0.001) association between immune checkpoint expression and TPCDS, with notable co-expression among immune checkpoints (Fig. 7 J).

The risk-adjusted multivariate Poisson regression model also indicated that patients' preferred location was a highly significant predictor for family global satisfaction (p = 0.001; Table 3 ).

The firing rate changes at the ganglionic heating of 0.6°C were highly significant between the bath heating and MMW irradiation ( P < 0.001 at 10 s and P < 0.01 at 10–60 s).

Compared with the derivation set, there were highly significant differences across nearly all baseline variables ( p < 0.001), thereby underscoring the robustness and generalizability of the developed predictive model.

The difference between the control gps and laser gps at day 21 was statistically highly significant ( p < 0.001).

rural) shows a weaker association ( p = 0.059), education level is highly significant, with illiterate individuals having the highest rate of sleep disturbances (76.2%, p < 0.001).

This model was highly significant, F (2, 38) = 107.626, p < 0.001, accounting for 85% of the variance (R2 = 0.850).

pallidum was markedly higher in the HIV-positive cases (29.0%) than in the controls (1.0%), with a highly significant difference (OR, 39.92; 95% CI, 6.31–165.40; P <0.001).

Night-time sleep disturbance There were highly significant reductions in night-time sleep disturbances (Fig. 4a ), with the median baseline VAS of 71 (21·75–78·5) being reduced to 10 (0–25·25) ( P = 0·001) by levocetirizine plus hydroxyzine and 17 (0–24·75) ( P = 0·002) by levocetirizine monotherapy.

In fact at 5 min, the difference in mean TER (% of control value) between butaprost and AH6809 treated group (85% vs 116%) was highly significant (p<0.001).

Although the former variability is assumed to be known and estimated by the standard error reported for each study, the latter (heterogeneity) was estimated from the model and found to be highly significant [ Q = 308.14 (14 df), p < 0.001].

There was a difference between performance on the first 5 s of the SSB recordings and the last 5 s that was highly significant ( t = 8.186, p < 0.001).

Analysis of variance ( Table 3 ) confirmed that all factors had highly significant effects on titer (p < 0.001).

There was a highly significant correlation between the extent of CAD and low HDL-C ( P < 0.001), [ Table 2 ], old age ( P = 0.003) and male sex ( P = 0.02) [ Table 3 ]. 21 (7.1%) patients were asymptomatic, 110 (37.3%) had stable angina, 127 (43.1%) had NSTE-ACS, 20 (6.8%) STEMI and 17 (5.7%) had HF.

In group B, out of 15 patients, 12 patients had attained normal skin color, which was statistically highly significant at the level of P < 0.001, also one patient had mild improvement and two patients have moderate improvement.

A highly significant difference was observed between the different age groups and the mean DMFT ( p < 0.001) ( Table 2 ).

Dietary levels had highly significant (p<0.001) on percentage of DM, moisture, ash, protein and fat.

Results Overall, the FHSQ pain subscale exhibited the highest responsiveness, as evidenced by a highly significant paired t -test ( p <0.001), Cohen’s d = 0.63 (medium effect size), SRM = 0.50 (medium effect size) and Guyatt index = 1.70 (huge effect size).

Specifically, it influenced T3, T3 (nmol), and T4 free ( p < 0.05), and showed a highly significant effect on T4 ( p < 0.001).

There was also a highly significant association of high FAK expression with lymphovascular invasion (LVI) (p = 0.001) (Table 2 ).

The data in Table 1 show highly significant differences about (“Age (years)” and “Exercise (years)”) ( p = 0.001) between prescribers and non-prescribers.

A preliminary experiment comparing the estimation of polyhedra in a series of dilutions by the above method and by haemocytometer count indicated a highly significant regression coefficient ( P < 0.001).