Excerpts

3 D , compare lanes 3 and 5; differences were highly significant: P<0.0001).

However, Group B demonstrated greater improvement than Group A, with highly significant results (p<0.0001).

An unpaired t -test indicated a highly significant difference between the control and MS groups, with a p < 0.0001.

The opposite impact was observed in WT horses in which a highly significant increase ( p = 0.0001) in the cell proliferation before training (0.0811 ± 0.0045) compared to those after training (0.1500 ± 0.0193) was noted ( Supplementary Figure S1A ).

Consistently with perceptual results, differences between model simulations for ramped and damped stimuli are highly significant for a T 1/2 = 4ms stimulus ( p < 0.0001, n = 702).

Regression analysis of the cured percentage in untreated patients versus the odds ratio of the ten studies analyzed and presented in table S2, revealed a highly significant linear relationship (Spearman Rho = −0.842, adjusted R2 = 0.806, P<0.0001) indicating that centers with good surgical results do not benefit from pretreatment and centers with worse surgical results benefit most from pretreatment.

The analysis of variance (ANOVA) revealed a highly significant effect of stone type and treatment on the mass loss of the samples (F3, 16 = 572.76; p < 0.0001).

Furthermore, implementation clinics had a underlying higher probability of identifying patients exposed to violence (0.46); the size of the clinic, proxied by patient inflow was highly significant (p = 0.0001), with larger clinics identifying more patients and, as expected; time (measured in months or calendar months) increasing identification, meaning the underlying trend regardless of the implementation has a positive slope.

The CURES Eye Study demonstrated a significant increase in the prevalence of DR with increasing glycated hemoglobin (HbA1c) levels.[ 3 ] The multiple logistic regression analysis carried out using DR as a dependent variable showed a significant trend of increasing retinopathy at different quartiles of HbA1c (trend χ 2 = 51.6, P < 0.0001) as shown in Fig. 1 .

There was a highly significant positive correlation between glucose and glycogen (Spearman r = -0.4102, p<0.0001, S1A Fig ), and a negative correlation between pH and glycogen (Spearman r = -0.5418, p<0.0001, S1B Fig ).

Specifically, the Treatment × Time interaction remained highly significant (p < 0.0001), indicating that the treatment effectively slowed tumor growth over time (Table S1).

In our study, rs9939609 also showed highly significant association with waist circumference in both NHS98 Chinese ( P < 0.0001) and NHS98 Malay ( P = 0.001); waist circumference data were not available for SiMES Malays.

Simultaneously, the results from Table 2 reveal that the individual factors A and D exert a highly significant influence on the response value ( p < 0.0001), while factors B and C exhibit a significant impact ( p < 0.05).

The age-specific HSV-2 seroprevalence of HIV-infected men was 23.9% for the 20s, 48.6% for the 30s, 57.1% for the 40s and 69.2% for the 50s, respectively, showing an increasing trend by age ( p <0.0001).

The main frequency effect was highly significant ( F 3,24 = 41.10, P < 0.0001).

For VAY, all linear effects (X 1 2 , X 2 2 , X 3 2 ) and interaction terms were highly significant ( p < 0.0001), with the linear term of extraction time (X 1 ) in UAE and the liquid–solid ratio (X 2 ) in WBE displaying particularly significant. 2.2.2.

This difference was highly significant ( p <0.0001).

streptocerca nematode prevalence was 19.3% in rural areas (range 0%–80%) compared with 5.2% in semiurban areas (range 0%–23.1%), a highly significant difference (p<0.0001 by χ 2 test).

Because of the large number of residues examined, the differences in the means between conserved and non-conserved structures are highly significant (p < 0.0001).

Furthermore, whereas the difference in the Kd for SUFU binding between mock-treated and ERK2-treated wild-type GLI1 was highly significant ( P < 0.0001), the difference between mock-treated and ERK2-treated GLI1 7A was not statistically significant ( P = 0.57).

The second-order polynomial equation derived from the experimental data was: Y = 38.16 + 0.6625 A – 0.3875B - 0.5250C + 0.2000AB - 0.3750 AC + 0.6250 BCE - 3.73A 2 –1.33B 2 –1.50C 2 The ANOVA results ( Table 4 ) demonstrated that the regression model was highly significant ( p < 0.0001) with an F-value of 60.87.

In this case, the F-statistic is 286.3, with degrees of freedom for the numerator (DFn) as nine and denominator (DFd) as 90, resulting in a highly significant p -value ( p < 0.0001).

The Kruskal-Wallis test for clinically isolated bacteria demonstrated a highly significant difference across concentration levels ( p < 0.0001).

Statistical analysis of indoor anopheles densities by H test of Kruskal-Wallis showed that there was a highly significant reduction of the anopheles density with increasing altitude (H = 209.46, p < 10 -4 ).

The differences in OS across the whole group of patients were highly significant ( p < 0.0001; Fig. 2 c).