“highly significant”

Effects of Extraction Variables on Antioxidant Activity Following the analysis of ABTS results utilizing RSM, the model showed a highly significant ( p < 0.001) regression represented by the following equation: ABTS = 330.8855 + 58.5485 * X 1 − 84.9180 * X 1 2 + 99.5563 * X 2 + 3.3621 * X 2 2 + 22.9206 * X 3 − 12.0931 * X 3 2 + 27.1134 * X 12 − 12.7727 * X 13 + 32.5420 * X 23 (R 2 = 0.93) Overall, the statistical results, as represented by the ANOVA test, the R-squared value (R 2 ), the positive coefficient of regression (β = 330.8855), the low p -value (<0.001), and the high t-value (12.62), confirm a positive relationship between the predictive and experimental variables.

The potential yield per hectare showed highly significant differences between the treatments ( p = 0.001), where T. koningiopsis (T-K11) showed higher production (1.60 ± 0.01 t/ha −1 ), presenting 64.04 pods per m 2 .

Separate analyses, performed on different diagnostic groups, revealed an important and highly significant reduction (−55%) in admission rates for affective disorders ( p < 0.001); on the other hand, the decrease in admission rates observed for schizophrenia spectrum disorders (SSD), personality disorders, and substance use disorders did not reach statistical significance (possibly because the sample size for these diagnoses was not large enough).

On day 7 and day 14, a highly significant decrease in the ratings of total PANSS and all PANSS subscales was observed compared to baseline (all Z > 3.29; all p < 0.001).

On intergroup comparison, it was found that there was a statistically significant difference in terms of marginal adaptation ( P = 0.024) and retention ( P = 0.023), while a highly significant difference was observed in terms of surface texture and anatomic form ( P < 0.001) at the end of 1 year [ Table 1 ].

They found a highly significant correlation (R2 = 0.77, P < 0.001) between the bending stiffness of the callus and the square of the total mineral content at the minimum BMD.

The differences between the MTX+ANA100 and HG in terms of these parameters were not statistically significant ( P >0.05), but the differences between the MTX+ANA50 and HG were found to be highly significant ( P <0.001).

On this basis, an independent samples t -test was conducted to compare the differences between the two groups, and p < 0.05 indicated a significant difference (*), p < 0.01 indicated a highly significant difference (**), and p < 0.001 indicated an extremely significant difference (***). 3.

Furthermore, the two-way ANOVA revealed a highly significant electrode * group interaction: F [2, 28] = 8.20, p < 0.001, which reflected differences in hemisphere distribution of the N1 (figure 4 ).

These differences in dioxin intake from 31.2 ? 0.7 to 33.2 ? 0.9% (p = before and during both test diets were 0.046). highly significant (p<0.001).

The negative influence of an active BSI on short-term mortality at the time of intervention was highly significant ( P < 0.001) and can be used as a predictor for worse 30-day survival (OR 11.4; 95% CI 3.18–40.9; P = 0.001).

After adjusting for additional confounders (risk factors for both OUD and the outcome), the odds of diagnosis of each outcome decreased but remained highly significant: hyperthyroidism (AOR = 1.46, 95% CI 1.43–1.49, p value < 0.001), hypothyroidism (AOR = 1.45, 95% CI 1.42–1.48, p value < 0.001), type 2-diabetes (AOR = 1.28, 95% CI 1.26–1.29, p value < 0.001).

By day 28, the VSC level in the placebo group remained at 858.33 ± 150.78 ppb, whereas that in the treatment group dropped further to 533.33 ± 89.09 ppb, with a highly significant difference between the groups ( p < 0.001), reflecting a 37.8% decrease in the treatment group compared to the placebo.

In this line, the contractile response to PE was tested and both compounds significantly reduced the contractile response to PE, although oxime–1 showed a more highly significant ( p < 0.001) reduction of the contractile response to different concentrations of PE (10 −7 to 10 −5 M).

Comparing the amount of light recorded in week 2 (with BLT) with those of weeks 1 and 3 (without BLT) the difference was highly significant ( F 2 , 35 = 11.59, p < 0.001).

A highly significant correlation ( p ≤ 0.001) was found between the type of delivery and the level of neonatal distress at both evaluated time points, with neonates from therapeutic cesarean section experiencing higher distress levels.

The differences between groups were statistically highly significant (Fisher’s exact test, p < 0.001).

The difference in measured burst pressures when comparing the individual groups was also highly significant ( p < 0.001).

A highly significant main effect of hemisphere, F (2, 52) = 14.64, p < .001, η p 2 = 0.36, was observed, with a higher voltage recorded from electrodes placed at the left (1.26 μV) and right hemispheres (1.42 μV) than from the central (0.03 μV) electrodes, ps < .05.

However, highly significant ORs (e.g., p < 0.001) were expected.

The results were compared with those of a reference drug (indomethacin), and the differences between the means were considered not significant when P >0.05, significant when 0.05> P >0.01, highly significant when 0.01> P >0.001, and very highly significant when P <0.001.

Results Biomass The effects of submergence treatment, sampling time, and their interactions on the shoot biomass, root biomass, total biomass, and ratio of shoot to root in biomass (RSR) of bermudagrass reached a highly significant level ( P < 0.001) (Table 1 ).

In these zones, the decrease in cropping area is highly significant ( p < 0.001).

Both comparisons were highly significant ( P < 0.001).

Our results also demonstrated significant relationships for the control variables of cattle and crop density (p<0.01) and highly significant relationships (p<0.001) for lagged deforestation, time period fixed effects, and the spatial autocorrelation coefficient (Rho).