“highly significant”

A highly significant and sustained 3–fold increase in p-AVP was measured during treatment with tolvaptan compared to placebo (Placebo: 0.20 ± 0.15 vs. 0.70 ± 0.45 pg/ml, p <0.0001).

More importantly, we found a highly significant effect of the workload manipulation on HR [ F (1, 18) = 36.1431, p < 0.0001, η 2 p = 0.667], with a higher HR for the more challenging 2-back task (mean = 80.4 ± 9.89) compared with the relatively easy 0-back task (mean = 77.27 ± 10.19).

In each subject the proportion of variance explained was superior in the non-shuffled data and this difference was highly significant (Wilcoxon signed rank test, all p values <.0001).

Significant (>0.0001 P <0.05) and highly significant ( P <0.0001) deviations are shown with single and double asterisks, respectively.

We found highly significant positive correlations ( r > 0.91, p < 0.0001, n = 324) between the fragment intensities of all samples and only very minor and non-significant deviations from a slope of one, with Δsl ranging from 0.008 (NADW/EMW) to up to 0.243 (Lake/AABW) (Fig. 2 ).

Identification of Fluctuating Asymmetry Analysis of our data demonstrated a highly significant side × leaf interaction ( F 183,368 = 398.8, p < 0.0001), confirming the existence of FA in our sample and our ability to identify FA using repeated measurements of the given accuracy.

We observed a highly significant effect of genotype ( P < 0.0001, H 2 = 0.23) in ovariole number CV E , but could not detect a genetic component of variance in ovariole asymmetry CV E ( H 2 = 0; P = 0.65) ( Figure 2 and Table S3 in File S2 ).

However, if the distribution times (20 min) were excluded, there was a highly significant correlation ( P <0.0001) between plasma levels and tumour response.

Comparisons to controls There were highly significant differences on the task for the ability to correctly identify the original pictures (F(1,301) = 124.4, P <0.0001) and the ability to identify the closely similar pictures (F(1,301) = 68.4, P <0.0001).

Migration assays revealed that both lyophilized and fresh PRF caused a highly significant ( p < 0.0001) 15- to 20-fold increase in the number of migrated cells when compared to DMEM medium ( Figure 2D ).

All heritability estimates were highly significant ( p < 0.0001).

Adding an interaction term ((2009 or earlier/2010 or later)*(age group)) to the multivariable modelling showed a highly significant interaction (P<0.0001)—that is, the association between new trans recordings or trans proportions and age group differed between 2000 and 2009 and 2010 and 2018.

We found a highly significant positive correlation (r, 0.74; P < 0.0001) between both methods based on 192 individual measurements conducted with each of both methods (Supplementary Figure 1 ).

These plots display that while cadence is not different between TD and CPH groups, there was a 22.0% decrease in walking speed in the CPH group ( P < 0.0001) and highly significant ( P < 0.0001) increases in knee flexion in stance phase (21.57° increase in CPH), swing phase (14.57° increase in CPH), initial contact (IC) (35.53° increase in CPH) and overall (18.58° increase in CPH) ( Fig. 6C and D ).

Further analysis by Kruskal–Wallis showed a highly significant difference ( p = 0.0001).

As the probability (p-) column indicates, all main effects—distracter level, formant swing extent, the size of f0 separation, and assignment of the higher f0 to target or distracter—were highly significant with p = 0.0001, both within and across subjects.

Heritability was highly significant for all adrenergic and renal traits: plasma norepinephrine (h 2 = 66.5±5.0%, p<0.0001), plasma epinephrine (h 2 = 66.5±5.1%, p<0.0001) and plasma dopamine (h 2 = 56.5±5.6%, p<0.0001).

Statistical analysis (ANOVA, p < 0.05) revealed highly significant differences ( p < 0.0001 for most pathogens, and p = 0.003 for Morganella morganii ) in biofilm formation among the untreated control, hibiscus-treated, and prune-treated groups for nearly all the examined isolates.

θ ST [ 45 ] among all populations was moderate but statistically highly significant (0.069, p < 0.0001; temporal samples from the same populations were pooled).

In addition, after stem abundance was accounted for, maximum D was a highly significant predictor of species contributions to biomass (F=6,218, df=1,317, P <0.0001, R 2 =0.83, Fig. 4a ) and productivity (F=2,577, df=1,254, P <0.0001, R 2 =0.67, Fig. 4b ).

The linear correlation between measured and predicted affinities was highly significant (Pearson r 2 = 0.52, p<0.0001). 85% of the peptides had a measured affinity within 10-fold range of the predicted IC 50 value.

Highly significant seroprevalence increases (p<0.0001) from children to younger adults (15–34 years) (but not from younger to older adults >34 years) were seen for mucosal α (HPV 16), γ (HPV 4, 65) and both μ PV (HPV 1, 63).

The results revealed a significant difference in mean serum resistin levels between those with a hospital stay of <7 days (21.01 ± 3.93 ng/L) and those with a longer stay (43.66 ± 15.99 ng/L), supported by a highly significant p-value (p<0.0001).

The difference in mathematics score was highly significant ( P value < 0.0001) between nonanemic noniron deficient (group III) and anemic iron deficient (group I), it was significant ( P value 0.001) between nonanemic noniron deficient (group III) and nonanemic iron deficient (group II).

3.5 Correlation between NSE 48h and mRS at 90 days We found highly significant positive correlation between NSE 48h levels and mRS at 90 days ( r = 0.400 and p < 0.0001) ( Figure 2 ).