“highly significant”

mTORC1 also exhibited a stage-dependent upregulation in Stage II, III, and IV, respectively, with all differences being highly significant ( p < 0.0001).

However there was a highly significant difference between both groups regarding mean ± SD of CSAd, CSAp, ∆ CSA, and mean CSApd ( p = 0.0001) (Table 1 ).

By contrast, there was a highly significant and strong effect of species ( R 2 = 0.5048, p < 0.0001), with pairwise tests indicating cranial shape differences between 16 of the 45 pairwise comparisons ( table 2 ).

Pair-wise permutation tests comparing predicted species richness between the entire small mammal assemblage, native species forest assemblage, and forest-specialist assemblage for the Atlantic Forest of Paraguay were highly significant ( P < 0.0001; Fig 2 ).

Fig 10B and 10C show highly significant (P<0.0001) decrease in neuronal counting in the crush group as compared to the sham group in both laminas.

At the Lönnstorp site, genotypic variance was highly significant ( p < 0.0001) for all traits except NS and SL ( Supplementary Table S2 ).

20 A highly significant association (OR: 61.65, P <0.0001) was also revealed between the use of zidovudine and the occurrence of anemia, as previously reported. 17 However, in this study, young age and female gender were not significantly associated with anemia.

These differences were highly significant by applying generalized linear model ( p < .0001).

A paired-samples t-test revealed a highly significant reduction in FD (t = 11.83, p < 0.0001), with a very large effect size (Cohen’s d = 2.19), underscoring both the robustness and the clinical relevance of the intervention.

There was no significant change in the expression of pMx-MGT Ang II cells (676.3 ± 421.3 pixels/cell; Figure 4 C,F) and pMx-MGT ET-1 cells (675.5 ± 409.1 pixels/cell; Figure 4 D,F), but a highly significant upregulation of MCP-1 was measured in the Isl1 + Sca1 + ckit + pCPCs stimulated with Ang II (1541.0 ± 880.9 pixels/cell, p = 0.0001; Figure 4 E,F). 3.4.

The proportions of patients who responded favorably, by either parameter, i.e., absolute weight and BMI, were 86% and 34.6% for V7 and placebo respectively, which was highly significant by Fisher's 2 × 2 contingency table ( P < 0.0001).

As shown in Figure 1 C, inhibition of each of the RNA sensors resulted in highly significant increased growth of H37Rv-mCherry as detected by IFC/ImageStream relative to its control cell line at 24 h (RIG-I: p < 0.0001; MDA5: p < 0.0001; MAVS: p = 0.002) or 48 h (RIG-I: p < 0.0001; MDA5: p < 0.0001; MAVS: p = 0.0008) post-infection.

As noted above, PSWQ showed a small but statistically significant ( p = 0.0017) negative effect of Obs, and highly significant (all p < 0.0001) small-to-medium effects of the other facets.

There were highly significant differences between tissues in the amounts of IgA and IgM produced irrespective of treatment ( p < 0.0001, p = 0.0020, respectively).

This is quantified in the Table 1 where cannabis use in 2015 is shown to be significant ( P = .0063), and for cannabis use in 2018 both cannabis use itself, and cannabis use in interaction with time are shown to be highly significant (both P < .0001).

The perceived impact of the nurse on their diagnostic and therapeutic journey was also higher, with a mean score of 7.69 ± 2.28 for those who identified their nurse, in contrast to 3.88 ± 3.04 for those who could not, demonstrating a highly significant difference ( P = .0001).

For bromine, a statistically highly significant difference was observed between the two groups, with much lower values in the patient group: 1086 ± 244 μg/L vs. 4137 ± 770 μg/L ( p < 0.0001).

As shown in Table 3 , highly significant improvements were found in the SAQ score, angina stability, angina frequency, treatment satisfaction, and disease perception ( p < 0.0001 for all) in the GXST group, while there were no significant differences in physical limitations between the two groups (60.1 ± 10.5 vs. 58.0 ± 11.7, p = 0.11).

The unsigned*signed prediction error interaction term was highly significant in predicting updates ( F {1,10763} = 51.7, p < 0.0001), demonstrating the importance of unsigned prediction errors in learning (Supplementary Fig. 2 ).

An independent samples t- test was performed which showed a highly significant difference difference in the crowding effect between the older and younger group ( t(30.92)= – 5.83, p < 0.0001, Cohen’s d=-1.94) [see Fig. 8] .

The scraper inclination angle (X2) exhibited a highly significant main effect (F = 518.11, p < 0.0001), and its quadratic term (X22) was also highly significant (F = 833.74, p < 0.0001), demonstrating that scraper inclination had a pronounced influence on the application rate.

Post hoc pairwise comparisons following highly significant Kruskal-Wallis test ( p -value < 0.0001) revealed four major groups reflecting significantly different PC distribution patterns within the ML (Fig. 7c ): ordered monolayer (group I), ordered multilayer (II), scattered multilayer (III) and totally scattered (IV).

Highly significant (P < 0.0001) differences among lines were observed for all traits except for ADF and ADL in the three years trials conducted at Varanasi.

Also, a log–log regression of TD on D is highly significant ( t =–10.63, 38 df, P <0.0001).

However, there was a highly significant ( p < 0.0001; d = 2.41) performance difference in favor of the VP group which doubled its test scores with 60.8 points (SD = 9.6) and showed a stronger effect size (d VP = 3.3 vs. d SGT = 1.42) than the SGT group which achieved 40.3 points (SD = 7.2).