“highly significant”

Although we could not directly compare the miRNA quantification provided by a probe hybridization-based technology (Agilent microRNA microarray) and a digital PCR technology, we analyzed the correlation in microRNA quantification between these two approaches, after data normalization, and observed a highly significant correlation of the data ( p < 0.0001, Spearman r > 0.7) for all the tested cancer types.

The smoking status of the patients was available for 54% of patients, and a highly significant correlation in ADA levels was seen between ever smokers ( n = 84) and never smokers ( n = 63) ( p -value = 0.0001) ( Figure 12 ), a pattern that could also be noted over time ( Figure S14 ).

Results A highly significant difference ( p < 0.0001) was observed, indicating that miR-21 expression was higher in CML patients compared to the controls. miR-302 levels were lower in CML patients.

Novelty facilitates memory persistence through behavioral tagging during memory reactivation and reconsolidation In Experiment 1, a highly significant linear decline of latency to retrieving all rewards was seen across 12 training sessions ( Fig. 1 B, F 1,15 = 20.81, p < 0.0001).

A highly significant difference ( P < 0.0001) was observed in IL-4 production between Adj+pep 2nd and Peptide 2nd.

1a ), supra-threshold amplitudes of wave I of the ABR (in response to 50-μs clicks) remained low and showed significantly shallower growth with sound intensity, compared to pre-exposure values (repeated measures analysis of variance (ANOVA) for pre-exposure and 4-week post-exposure data showed a significant effect of group, p = 0.043, and a highly significant interaction between time of measurement and sound intensity, p = 0.0001; Fig. 1b ).

This was confirmed by the p values of the chi-square for the log-rank test that was not significant for the MAI (p = 0.3042), close to significance for MED (p = 0.0651), and highly significant for FA2 and PC2 (both, p < 0.0001).

TRAT1 and KLRK1 were also highly significant ( p < 0.0001), and ROC analysis revealed 83.3% sensitivity and 96.77% specificity for TRAT1 counts >213, and 100% sensitivity and 96.77% specificity for KLRK1 counts >292.5.

Measurement error The ANOVAs for centroid size and shape both reveal that the “Individual” main effect is highly significant ( P < 0.0001), which means that the variation among flowers greatly exceeds the measurement error due to “Imaging” and “Digitising” ( Table 1 ).

There was high heterogeneity among the studies, as indicated by the I 2 value of 85.8 % and a highly significant p-value (p < 0.0001).

There was a highly significant difference between the EFG and CG with p = 0.0001 ( p < 0.01).

48 Analysis revealed a highly significant treatment and time effect and interaction between the two ( p < 0.0001 for all).

There was a highly significant treatment × week interaction on the number of floor eggs produced (F(11,466) = 3.75, p < 0.0001), suggesting that the effect of treatment differed across weeks, and the LSMeans and Standard error for treatment × week interaction are reported in Table 3 and Figure 9 .

Both fungal strains (S2 and S3) caused a highly significant mortality to the ants when applied at high doses in the challenge ( Fig. 1 and Table 1 ; C-C vs C-S2, early challenge: d.f. = 3.9, P <0.0001, late challenge: d.f. = 3.3, P <0.001; C-C vs C-S3, early challenge: d.f. = 5.1, P <0.00001, late challenge: d.f. = 4.1, P <0.0001).

The linear correlation between estimated and measured BG was highly significant in the trained group that did not experience the EHS (r = 0.68; P = 0.0001) and not significant in controls who did not experience the EHS (r = −0.12; P = 0.32).

We found a highly significant positive correlation between nuclear ERβ and ovarian cancer marker CEA ( p < 0.0001; 95% confidence interval (CI) 0.1598–0.4465) (Table 4 ).

Kruskal-Wallis analysis revealed a highly significant difference among the groups ( P < 0.0001).

All 3 tested strips produced highly significant increases (improvements) in both MCA and nasal volume from baseline ( P < .0001 for all 3).

These differences were highly significant ( P < 0.0001).

The interaction effect between them was highly significant ( p ≤ 0.0001).

A Pearson’s correlation between the dynamic rate changes in the oximeter signals reveals a highly significant inverse correlation for phosphorescence changes ( r = −0.597; 95% confidence, −0.710 to −0.454; P < 0.0001) and a highly significant positive correlation for changes in pO 2 ( r = 0.594; 95% confidence, 0.451 to 0.707; P < 0.0001).

Correlation between reference and MRI-based temperatures are highly significant (all p -values < 0.0001).

The difference in frequencies of variants within cline centre groups between the filtered (SCV only) and unfiltered datasets was highly significant (European taurine S1: Χ 2 = 13,151, df = 2; p < 0.0001; African taurine S1: Χ 2 = 17,118, df = 2; p < 0.0001), indicating an enrichment of variants with restricted gene flow and unbiased introgression.

There was also a highly significant ( p < 0.0001) effect of temperature on cytoplasmic ROS levels after 6 and 12 h IVM.

A repeated measures ANOVA of attractiveness ratings for covered, partially covered, and uncovered displays with a Greenhouse-Geisser correction showed a highly significant main effect, F (1.27, 75.04) = 23.99, p < .0001, η p 2 = .29.