“highly significant”

The most influential parameter was Mf, contributing 62.19% with a highly significant p -value ( p = 0.001).

The obtained results were interpreted as: nonsignificant: P >.05, significant: P <.01, and highly significant P <.001.

Non-parametric tests of SC values reveal highly significant differences ( p < 0.001), with both gesture vs. non-interaction and keyboard vs. non-interaction conditions showing significant contrasts.

Results were considered statistically significant when p < 0.05 and highly significant when p < 0.001.

This difference was statistically highly significant ( P <.001).

In group A, the initial mean score was 1.40, which came down to 0.933 after treatment, exhibiting a statistically, highly significant improvement, with P < 0.001 and about 66.6% relief.

Results Highly significant ( P < 0.001) results on Shwasakashtata were found in all the test drug groups except in Vasa Ghrita (2), which was only significant ( P < 0.05) [ Table 3 ].

For the B6 mouse strain, Pearson's correlations demonstrated a highly significant negative relationship between delay interval and accuracy on both the 24 s (Figure 2a ) and the 36 s delay sets (24 s delay set: B6 r = −.959, p = .001; 36 s delay set: B6: r = −.918, p = .004).

In this model, the sub‐hazard ratios for AF and MI as time‐dependent variables remained highly significant, 3.75 (95% CI: 2.72–5.18, P < 0.001) and 3.68 (95% CI: 2.55–5.30, P < 0.001), respectively.

Results of a one-way repeated-measures ANOVA using the verbal confidence sentiment scores from the text describing current self-efficacy mirrored results achieved with the current numerical self-efficacy measure, with a highly significant result showing a very large effect with significant differences between groups [ F (2, 158) = 14.0, p < 0.001, η p 2 = 0.151].

The correlation between the two regions for this trait was highly significant (r = 0.75, p < 0.001).

Highly significant: P < 0.001 Significant: P < 0.01 Insignificant: P > 0.05 Observations and Results Cardinal signs and symptoms In the present study, Avipaka, Tikta-amlodgara, Daha , and Shoola were found in all i.e., 100% of the patients and Chardi was observed in 20.24% of the patients.

There was a significant ( P < .01) relief of abdominal pain and highly significant ( P < .001) relief in all the other cardinal features of thalassemia in patients receiving Triphaladi Avaleha [ Table 2 ].

As with the “salt stress” experiment, there was a highly significant ( p < 0.001) and dramatic increase in the expression of CYCB1 (216- and 78.1-fold for 100 and 200 mM NaCl, respectively) and WEE1 (15.3- and 7.9-fold for 100 and 200 mM NaCl, respectively).

This mixed-effects model revealed a highly significant effect of year on group size ( p < 0.001), with no significant effect of reef or a year × reef interaction (Supplementary Table 3 , Supplementary Table 4 ).

In contrast, the difference in median survival from the first dose of antibody of patients with or without TP53 alterations was highly significant, at 0.7 versus 5.1 years, respectively ( p < 0.001).

Highly significant difference was present if p ≤ 0.001.

For “education score”, there was a highly significant correlation with state EC ( p < 0.001, ρ = 0.27), and a marginally significant correlation with trait I-EC ( p = 0.01, ρ = 0.18) and age ( p = 0.04, ρ = 0.15) but no significant relationship with trait D-EC ( p > 0.36, ρ=-0.07).

Prevalence of any predictive psychiatric disorder before lockdown was 20.5 % and within lockdown was 39.7 % and the difference was highly significant (P < 0.001).

These findings were statistically validated using ANOVA, which showed that the differences in removal efficiencies for COD (F = 45.72), TDS (F = 39.64), TSS (F = 52.18), and color (F = 41.83) across voltage levels were highly significant ( p < 0.001), confirming that higher voltages enhance the electrocoagulation treatment efficiency.

Step 2: machine learning and cross-validation A combination of state, highest-level trait metrics, and demographics yield the most parsimonious predictive model of chills occurrence (SVM) Using the feature set described above (highest-level summary trait metrics; 15 total features), the classification scheme yielded a highly significant prediction accuracy (68.2%; P < 0.001).

Results There was a highly significant relationship between the patient's compliance with physiotherapy and obtained ROM of the affected finger with a P value <0.001.

About the dichotomized variables, the relation results highly significant for subjects who use regularly the prosthesis (β = 0.683, P < .001); for those who currently work (β = 0.125 P = .009), and for subjects with TT amputation level (β = 0.101 P = .017).

However, metacognitive ability showed a highly significant correlation between the two different tasks ( r = 0.71, p < 0.001, Fig. 2 c), as did confidence level ( r = 0.70, p < 0.002, Fig. 2 c).

Both linear trends were highly significant ( p < 0.001).