“highly significant”

The coadministration of LMW-HA with naloxone and HMW-HA with naloxone were highly significant (p<0.0001); see Figure 5B .

The median overlap was much larger for Stimulus Set 1 than for Stimulus Set 2, and such a difference was highly significant ( p < 0.0001, Mann–Whitney U -test test; see Figure 11A ).

Highly significant associations between BCS and pregnancy status ( P < 0.0001) and BCS and cyclicity status ( P < 0.0001) were observed in this study.

They demonstrated a highly significant positive correlation between the results generated by these two methods ( p <0.0001).

A number of individual criteria showed highly significant ( p < 0.0001) increases in prevalence between baseline and follow-up, including prescription of PPIs at full therapeutic dosage for >8 weeks (STOPP, 17.2 to 21.9 %).

All consonant thresholds improved with training as shown in S1 Table , with the majority of consonants showing highly significant (p < 0.0001) improvements.

This analysis confirmed the highly significant effect of Hearing-loss [F(1,38) = 30.1, p < 0.0001, ω 2 = 0.43].

85.35 ± 9.50 mg/dL; NS), highly significant (p < 0.0001). drop in fasting insulin levels was observed; after the follow-up period of 6 months, fasting hyperinsulinemia was diagnosed only in 6 (15 %) patients.

The loss of gMDSC numbers after freezing/thawing was statistically highly significant (p = 0.0001).

The Kruskal-Wallis test for median traffic count by categories of each traffic question was always highly significant (p < 0.0001).

These differences were highly significant for both wild type and Atxn2 ko mice (ANOVA with repeated measure, P<0.0001).

The highly significant p -value ( p < 0.0001) reinforces the reliability of this association, making it clear that this relationship is far from coincidental.

Each term in the model (coverage, month, and region) was highly significant ( P < 0.0001) and provided significant explanatory power [ 16 ].

The difference in survival between the two groups was highly significant (HR: 7.8, 95% CI: 4.0–15.2; p<0.0001) ( Fig. 2 ).

The LMM (R2= 0.4) reveals a highly significant influence of the fixed effect accommodation demand (F(4, 97.01) = 9,3966, p < 0.0001) while the fixed effect session (F(1, 97.67) = 0.1247, p = 0.7248) and the resulting interaction effect (F(4, 97.26) = 0.148, p = 0.9635) between accommodation demand and session showed no significant influence.

However, the overall regression model was highly significant ( P < 0.0001), indicating that disease classification is a key determinant of PET signal variability.

ANOVA analysis indicated a highly significant difference in postoperative Kujala scores across the flexion categories ( P < .0001).

The relationship between catalyst loading and reaction time is highly significant ( F -value = 27.59, p < 0.0001), pointing out that optimization of both parameters is required for an optimal yield ( Table ).

After adjustment for age, gender, ethnicity and FMI, highly significant positive associations were observed between FFMI and CAL (p<0.0001) and with PRO, CHO and FAT (all p=0.0002).

Overall there was a highly significant difference between the two groups of donors as determined by two‐way ANOVA ( p < 0.0001) (Fig. 3 ).

A statistical significance threshold of p<0.05 was established, marking the cut-off for inferring meaningful differences in the data (** p-value < 0.01 denotes strong statistical significance; *** p-value < 0.001 signifies highly significant statistical difference; **** p-value < 0.0001 demonstrates extremely significant statistical significance.).

Arsenic and Hg exhibited highly significant spatial variation ( p < 0.0001 for both), with the highest concentrations observed at location L2 (As: 4.56 μg/g; Hg: 0.64 μg/g) and the lowest at L6 and L4, respectively.

This approach allowed for the identification of the individual and interactive influence of each variable on the response, providing a predictive model to optimize the formulation, as shown: ST red = 31.291 + 0.134A − 0.519B + 0.154C + 3.409D − 1.149AB + 0.595AC + 1.810AD − 1.433BC − 1.981BD + 0.766CD − 0.316A 2 + 0.065B 2 + 0.102C 2 − 0.597D 2 , (7) The analysis of variance (ANOVA) for the quadratic model of surface tension reduction (ST red ) is presented in Table 3 and revealed that the model was highly significant, with an F-value of 14.78 and p < 0.0001, indicating a strong fit to the experimental data.

Analysis of the expression of EBV-miR-BART22 by MiRNA qRT-PCR revealed highly significant differences between the EBV carrier group and EBV-HLH and CAEBV groups (P < 0.0001; P < 0.001), and significant differences between the IM and EBV-HLH groups (P < 0.001).

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