“highly significant”

Detailed results are provided in Table 1 ; all fixed effects were highly significant ( P <0.001).

This result was corroborated by a linear regression analysis, which revealed a standardized beta coefficient (β) of 0.42, again with a highly significant p-value < 0.001.

The results show that all three models were highly significant ( p < 0.001), confirming that the response process parameters had a substantial effect on extraction efficiency.

The BTI‐A showed highly significant correlations with the PSS and CBI (all p < 0.001; see Table 3 ).

The effects of the treatments were deemed significant, with respect to the vehicle, with p -values of either * p < 0.05, ** p < 0.01 or highly significant at *** p < 0.001, as determined by the Student t -test. 4.

RSM results The ANOVA results of MPCI for mechanical properties indicate that the model is highly significant, explaining 88% of the total variability in the response, as shown in Table 9 (model’s p < 0.001 and a high F-value of 19.27).

This value is highly significant ( p < 0.001), indicating that a value of the test statistic that is this large is unlikely to have occurred by chance, and therefore the strength of the relationship is significant.

A highly significant difference ( P < 0.001) was observed over the range of scores by individual panelists.

Overall, the pre- to postintervention reduction in scores on EPDS ( d = 2.23) and STAI ( d = 2.42) was highly significant (P < 0.001) with a very large effect size.

All groups showed increases in walking distance, with the PC, cardiovascular, metabolic, and orthopedic disorder groups demonstrating highly significant ( P <.001) improvements with medium to large effects (Cohen’s d =0.74-0.87).

The improvements were highly significant (p < 0.001) across nearly all head-to-head comparisons in Centers B and D.

Similarly, the mean (SD) values for liver function tests of hepatotoxic and non-hepatotoxic patients were compared and found that there exists a highly significant ( P < 0.001) difference between those two groups which is shown in Table 3 .

Difference pre- and post counseling KAB score observed was statistically highly significant ( P < 0.001) by paired t test.

Because of the significant age disparity, age-adjusted analysis of covariance (ANCOVA) was performed and demonstrated that sweet and sour remained highly significant (p < 0.001), salty remained significant with a reduced effect size (p = 0.03), and bitter became borderline and no longer statistically significant (p = 0.06), indicating partial age confounding for bitter detection (Table 6 ; Figure 5 ).

Day to Flowering The effect of SA and pre-cold treatments on the trait of day to flowering was highly significant ( P < 0.001) ( Table 1 ).

Results At the 1.2 Hz oddball frequency and harmonics, a highly significant amplitude response was found at bilateral occipito‐temporal site for both groups (Fig.3; AD: 0.43 μV, p <.001; CTR: 0.58 μV, p <.001).

The combination of meropenem + piperacillin + tazobactam reduced the bacterial cell density to 41.7% at 50 μg/mL concentration, proving highly significant ( p < 0.001).

An RM ANOVA on the slope of the fitted functions testing the effects of Measurement (THR, BAL), Rate (1,500; 18,000 pps), and Electrode (apical, basal) showed a highly significant effect of Measurement [ F ( 1 , 10 ) = 42.29 , p < 0.001 , η 2 = 0.81 ].

After adjusting for baseline characteristics, these associations were attenuated but remained highly significant for both the chronic (AOR = 4.23, 95% CI [2.97, 6.01]) and escalating (AOR = 10.56, 95% CI [7.20, 15.50]) trajectories (all p < 0.001).

These differences were highly significant (P<0.001, one-tailed Student’s t-test).

Results : We observed a highly significant and positive correlation between anti-SARS-CoV2-Spike-IgG formation and neutralizing capacity ( r = 0.908, p ≤ 0.001).

It was considered statistically significant when the p -value was less than 0.0001 and highly significant when the confidence level was proposed to be 99% with p > 0.001.

A highly significant correlation was found between BDAT raw scores and Gold-MSI self-report questionnaire scores on subscales Musical training and Perceptual Abilities ( r = .324, p < .001; r = .297, p < .001 respectively).

Compared with the CF group, all five lipids showed highly significant differences in both DC1 and DC2 participants ( P < 0.001), underscoring their strong association with DC onset and progression.

Its coefficient—in the detection probability submodel—was strongly negative and highly significant (Tables S3 : − 3.38 for the position on the ground, P < 0.001).