“highly significant”

Spectral Analysis of Heart Rate Variability The power spectral analysis revealed significant difference ( p = 0.045) for LF power and highly significant difference ( p < 0.0001) for both HF power and LF/HF power ratio.

Subsequent analysis of TNFSF4 mRNA levels showed that oar-miR-125b overexpression led to a highly significant downregulation ( p < 0.0001), whereas its inhibition resulted in a significant upregulation ( p < 0.001), compared to the NC group ( Figure 3 B).

The levels of eight cytokines showed a highly significant correlation with the degree of small bowel mucosa damage according to the Marsh classification: IL-27 ( r = 0.46; P < 0.0001), sIL-2Ra ( r = 0.41; P = 0.0005), IL-15 ( r = 0.40; P = 0.0005), IL-8 ( r = 0.40; P = 0.0004), IL-5 ( r = 0.30; P = 0.01), IP-10 (IFN γ inducible protein 10 or CXCL10) ( r = 0.27; P = 0.02), sTNFRII ( r = 0.26; P = 0.03), and MIP-1 β ( r = 0.25; P = 0.03).

Instead, we found a highly significant correlation between the catalytic activity β1i and its expression level ( Figure 5B , r 2 = 0.86, p<0.0001, individual values are included in Table S1 ).

The observed effect of trans-4-tert-butylcyclohexanol was highly significant ( p < 0.0001).

The Wilcoxon test determined there are highly significant differences in SHAPE reactivity between both groups (p<0.0001).

Adding the ‘number of flowering species’ to the model showed a highly significant difference on both, number of butterfly species and individuals (mod4s, mod4i, p < 0.0001).

The ANOVA for the fitted response surface model ( Table 4 ) indicates a highly significant model (Model F = 285.13, p < 0.0001).

A negative, highly significant correlation was found between AQP1 abundance and the D/P Crea ( r = −0.76, p < 0.0001). 4.

RNL lower than 0.650), compared to the controls (statistical differences highly significant, p < 0.0001 for Pt-3, Pt-5 and Pt-8 and p < 0.001 for Pt-4) ( Figure 6 ).

Correlation between conventional echocardiographic and TSI parameters in STEMI group Across the entire study population, we found that there was a highly significant negative correlation between LVEF and TSI parameters, such as septal-lateral wall delay ( r = −0.665; P = 0.0001), septal-posterior wall delay ( r = −0.978; P = 0.0001), all segments maximum difference ( r = −0.557; P = 0.0001), and dyssynchrony index ( r = −0.608; P = 0.0001).

The quadratic terms (A 2 , B 2 , C 2 , D 2 ) and interaction terms (AB, AC, BD, CD) were highly significant ( p < 0.0001), while BC was significant at the p < 0.01 level ( Table 5 ).

When micro CT was compared with all the other techniques in analyzing the racial predilection of C-shaped canal configuration, it showed a statistically highly significant result with P < 0.0001 except when compared with CBCT which showed a significant value of P = 0.0303 [ Table 4 ].

There was a highly significant statistical interaction between age and residence after adjusting for time from initial diagnosis of CDI to the second episode ( P < 0.0001) ( Table 3 ).

Due to the increase in pain intensity ratings during exposure to the C-HP model the time factor was highly significant ( t -stat = 9.5; p < 0.0001).

Highly significant differences ( p < 0.0001) are specifically indicated. 5.

Normality and Distributional Diagnostics Every impedance trait produced highly significant p -values ( p < 0.0001), rejecting the null hypothesis of equivalence.

A highly significant difference ( P = 0.0001) was observed compared to those receiving placebo ( N = 57) who maintained their mean BMD at the lumbar spine over 5 years of follow-up (−0.1% (95% CI -1.3 to 1.0)).

The analysis of extracts spiked with known concentrations of the compound ( Figure 3 c) showed a highly significant correlation between P5C concentration in samples and its estimation ( p < 0.0001 in a Pearson two-tailed test) and allowed us to evaluate the recovery (about 85%) and to estimate the detection limit of the method (about 20–30 nmol g −1 FW under the experimental condition used).

Two-tailed test of independence indicated that the associations between the mortality and PBO pre-exposure are highly significant (χ 2 = 134.104, df = 1, p < 0.0001).

The average Spearman correlation between the scores of the four hypoxia profiles was 0.82 and highly significant (range 0.71–0.90, p -values < 0.0001, Figure 2 A), demonstrating that the four gene expression profiles rank patients similarly.

Unpaired t-test showed that there was highly significant difference between patients and controls in age, weight, and BMI ( P <0.0001) only as shown in Table-I .

A Spearman's correlation applied to this collapsed data confirmed a highly significant negative relationship (rho = −0.1131, p < .0001).

The increases in sub G1 in the 5-FU plus ATRA treated cells, when compared to cells treated with 5-FU alone, were highly significant (P<0.0001).

As displayed in Table 1 , results revealed that the fitted model was highly significant ( p < 0.0001), indicating that it could effectively explain the variation in the yields of YKP ( Wu et al., 2021 , Wu et al., 2022 ).