“highly significant”

The difference in the TCT of both orange peeling and suturing between sessions 1, 5, and 10 was highly significant ( P < .0001) ( Table 1 ).

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.

Not only are the correlations highly significant for infected implants in statistical terms (e.g., P <0.0001 for CCR5 + ITTP versus both Gag-p24 + ITTP and thymocyte viability), but the proportion of CCR5 + ITTP corresponds closely to that of infected ITTP ( Figure 4A ).

The results showed highly significant and strongly positive correlations in all subsets: CD3+ T cells (r = 0.92, p = 0.0001), CD19+ B cells (r = 0.96, p = 0.00001), NK cells (r = 0.93, p = 0.00009), and NKT cells (r = 0.90, p = 0.0004).

Consequently, time, also highly significant in the overall analysis (F 15 = 60.22, p<0.0001; Table 3 ), strongly affected the abundance of Pseudonocardia in each of the seven individual experiments (F values ranging from 6.035 to 30.01, all p<0.0001; Table 4 ).

There was a highly significant correlation between genetic distances based on the two molecular markers (Mantel test: r = 0.616, p = 0.0001).

The age difference between males (32.5 years) and females (26.5 years) was highly significant (p value < 0.0001).

Especially the JFM average patterns attain a very strong and highly significant correlation of r = 0.98 ( p = 1.0 × 10 - 4 ).

This represents a highly significant change ( t (47)=6.01; p <0.0001).

After accounting for multiple comparisons, this level of detection remains highly significant (p-value<0.0001).

Thus, there were ∼3.4 times as many deletions as insertions in both lineages, which was highly significant ( p <0.0001).

The difference in tip extension rates between the two strains was highly significant (P value<0.0001, paired t -test).

There was a highly significant change in SBM frequency from baseline with elobixibat (10 mg and 15 mg) at Weeks 1 and 2 compared to placebo ( p < 0.0001) [ 44 ].

Conversely, MAPK10, linked to sigmoid colon tissue, exhibited exceptional accuracy in distinguishing tumor from normal samples, with AUC values of 0.9538 (COAD) and 0.9754 (READ), both highly significant ( p < 0.0001).

Splenocytes from mice vaccinated intravenously with RALA/ mGPC2 produced highly significant levels of antigen-specific IFN-γ (107.1 SFU/250,000 cells ±18.65; p < 0.0001) and IL-2 (100.6 SFU/250,000 cells ±22.61; p < 0.001).

Spearman’s rank correlation analysis revealed a highly significant positive correlation between the relative abundance of Clostridium_sensu_stricto_1 and fecal IPA concentration (rs = 0.7554, p < 0.0001; Figure 2H ), suggesting a close association between changes in this genus and alterations in fecal IPA levels.

All three models were highly significant, confirming the robustness of the classifier method ( P = 0.0001, P = 0.0002, and P = 0.0003, for 3-, 4- and 5- nearest neighbours models, respectively.

The decline with age was highly significant ( p < 0.0001 in lme).

In contrast, Ct values showed a highly significant association with sequence coverage ( P = 0.0001), indicating that lower Ct values (reflecting higher viral loads) are strongly correlated with increased sequence coverage.

The chi-square test revealed a highly significant association between receiving health education and overall satisfaction (χ2 = 148.84, p < 0.0001).

There was a highly significant relationship between COPD exacerbation and moderate to severe grades of smoking index (p<0.0001) ( Table 1 ).

Overall genetic structure Control region and microsatellites AMOVAs with the CR and Msat datasets showed highly significant deviations from panmictic population conditions (Φ ST = 0.096, P < 0.0001; mean D est = 0.17; F ST = 0.015, P < 0.0001).

There was a highly significant difference in both mean ADC and mean rADC values between benign and malignant lesions (p < 0.0001 and p = 0.0002, respectively; Student’s t-test).

The effect of ridge orientation was highly significant (χ 1 = 17.5, P < 0.0001), which confirmed our findings in experiment 1.

Importantly, the full plasma (90s) exposure causes highly significant more DNA fragmentation than exposure to UV only (180s) at this position (0 cm) (****P < 0.0001; Fig. 2C ).