“highly significant”

3.3 Clinical assessment In the SOC + IP arm, there was a highly significant reduction in NRS from 4.3 ± 1.13 at day 0–1.74 ± 1.03 at day 4 (p < 0.0001) as shown in Table 3 .

The model showed a highly significant value (p < 0.0001) (Table 3 ).

A highly significant heterogeneity was found among the studies ( I 2 = 82%, p < 0.0001) ( Figure 5 ).

Statistical analysis (independent t -tests) confirmed that these differences were highly significant from day 13 onward ( p < 0.0001).

The results of the pairwise t-tests for TomatoRipen-MMT and the best baseline (two-stream CNN) indicated a highly significant improvement (t = 6.18, p < 0.0001) with very large effect size (d = 2.14).

Importantly, the interaction of Language Type and Order was very highly significant [ F (1, 38) = 60.56, p < 0.0001], because IF phrases abounded in OV, FI phrases in VO languages.

The above results were subsequently analyzed using Design-Expert software, yielding the following second-order polynomial regression equation: Y = −28.06537 + 1.35037A + 1.55369B + 0.066144C − 0.007187AB + 0.00075AC + 0.000141BC − 0.169750A 2 − 0.028281B 2 − 0.000218C 2 ANOVA-based statistical validation demonstrated that the model was highly significant (F = 210.21, p < 0.0001) and exhibited strong predictive capability, with an adjusted R 2 of 0.9916, indicating good model fit.

Highly significant association was found between naive CD4 T cells and CD4+ RTE (all p-values <0.0001).

Regression analysis showed a highly significant inverse correlation between the ability of Env to use CCR5 in the absence of CD4 and the ability to use GPR15 in the presence of CD4 (p < 0.0001; Figure 4 C), indicating that CD4 independence is associated with decreased efficiency of GPR15 use.

At day 2 the mean number of heterophils was similar in both groups but the control wounds showed a rapid decline during the following days, whereas in the insulin-treated wounds the number of heterophils remained unchanged through the first week of healing and differences in mean counts were highly significant at day 7 ( P < 0.0001).

The effect of the genotype and pairwise-comparisons between the associated genotypic groups were highly significant ( p < 0.0001) (Fig. 4b ; Supplementary Table 4 and Supplementary Data 4 ).

However, there was a highly significant intra-subject correlation between pre- and post-treatment irisin concentrations (R = 0.82, P<0.0001).

It was noticed that there were strong positive linear correlations between the three imaging modalities concerning density measures: r = 0.95 (MRI and DBT), r = 0.97 (FFDM and DBT), and r = 0.87 (FFDM and MRI), with highly significant differences between FFDM and DBT/MRI ( p < 0.0001) but no significant differences between DBT and MRI ( p > 0.05).

Similarly, arterial oxygen pressure saw a more pronounced increase in the observation group (13.18 ± 1.92 mm Hg) compared to the control group (9.92 ± 1.02 mm Hg), with a highly significant difference ( P < .0001) (Fig. 1 B).

On the other hand, the main effect of bias direction was highly significant [ F (1, 9) = 55.131, p < 0.0001].

All correlations between the FIQR total score and MAU instruments utility scores were highly significant ( p < 0.0001) with magnitudes larger than 0.5.

Of these, 3 were highly significant ( p < 0.0001) and were ultimately retained ( Table 3 ; Figure 2 ).

This study revealed a highly significant difference with a P < 0.0001 when comparing MO-CON with MO, MO-WT-mRNA and MO-R925S-mRNA.

As in the exponential fit model, there was a highly significant effect of stimulation condition (F 3,1549 = 21.3, p <.0001).

Permutation tests (see the “Methods” section) indicated that observing 15 concordant features is statistically highly significant, exceeding all 10,000 random permutations ( p < 0.0001, Fig. 8b ).

In the overall population, a medium but highly significant correlation (r = −0.31, p < 0.0001) was found between age and the log-transformed values of antibody titres.

The model is highly significant ( p < 0.0001).

While KRT20 mRNA tended to be positively associated with pCR status (r = 0.3072; p = 0.0684), the negative association of FGFR1 mRNA expression with pCR status was highly significant (r = −0.65418, p < 0.0001). 2.3.

A highly significant correlation between CNP and TNF-α (p<0.0001) was detected in cardiac tissue ( Fig. 6 ).

However, the performance gap between the leading model (DeepSeek) and the baseline model (ChatGPT-3.5 Turbo) was highly significant ( p < 0.0001), confirming substantial advancements in newer models.