Excerpts

The differences were highly significant in the T-test (T = 17,4; p < 0,001).

We did observe a highly significant effect of cognitive load on reaction time (RT) in the visual task [ F (2.73, 35.44) = 29.24, p < 0.001, η 2 = 0.69] showing that visual target RT increased as a function of cognitive load.

The control group presented a highly significant rate of decay during storage ( p < 0.001).

Multivariate analysis demonstrated a significant trend change in HFMD reinfection following EV-A71 vaccination ( P < 0.001) ( Table 3 ).

The total post-operative analgesic time was 8.9 hours in group G whereas 14.17 hours in group P (highly significant, P < 0.001).

There was a significantly lower requirement of oxygen when participants were administered the add-on Homoeopathic treatment when compared to SOC, and the difference was highly significant (p < 0.001).

This difference was highly significant in all of the subgroups ( p < 0.001) ( Table 1 and Table S3 ).

Variation in nitrate concentrations was similar to temperature (Figure 6C ) with a negative trend of –0.04 μM per hour [χ 2 (1) = 17.2, n = 79, p < 0.001] which led to a minimum of 0.29 μM on October 9th at 19:00.

The majority of differences in the running disciplines were highly significant for all measuring systems ( p < 0.001).

Statistical analysis showed highly significant differences between spring and autumn ( χ 2 = 15, df = 1, P < 0.001), as well as summer and autumn ( χ 2 = 12.5, df = 1, P < 0.001) (Table 2 ).

However, ANOVA for the reaction times of the incongruent trials yielded a highly significant main effect with high effects sizes [ F (2,36) = 7.92; p = 0.001; η p 2 = 0.30].

A multivariate analysis of variance (MANOVA) showed a highly significant multivariate effect of IC status on scene construction scores, Pillai’s Trace =.509, F (4,55) = 14.279, p < .001, η p 2 = .509 .

Using the optimal cutoff value (42.95), higher PNI remained protective, with HRs of 0.222 (95% CI: 0.103–0.478), 0.248 (95% CI: 0.115–0.535), and 0.258 (95% CI: 0.120–0.557), all highly significant ( P ≤ 0.001).

In the case of TUG, the association was highly significant, maintaining a P ‐value <0.001 after adjustment for all confounders (Model 6: β = − 0.092; R 2 = 0.390; −0.137 to −0.048; P ≤ 0.001).

In all three phenotypic classes and for both DE and GE assays, genotype, temperature, and their interaction all had highly significant ( P <0.001; Table 1 ) effects on cold tolerance.

Subgroup 1A includes two large populations, Honduras1 (n = 18) and Guatemala1 (n = 26), which presented a highly significant F ST = 0.193, P<0.001.

Results The linear regression among measures of body size for fresh (SVL 1 ) and preserved individuals (SVL 2 ) proved highly significant ( R 2 = 0.987; P < 0.001; n = 62), the mean shrinkage rate of vouchers being 5.55% of the initial body size.

The observed trends were: (A) a negative trend with Restinga cover ( β = −0.260, p < 0.001); (B) a positive trend with urban land cover ( β = 0.010, p < 0.001); (C) an inverse trend with patch fragmentation ( β = −4.995, p < 0.001); and (D) a positive trend with patch isolation ( β = 0.001, p < 0.001).

Despite there being significant differences in the levels of immunostaining for plaques and CAA between the three antibodies, regression analysis showed highly significant correlations between plaque scores for each of the three antibodies ( p < 0.001 in every instance), and likewise for CAA scores ( p < 0.001 in every instance).

The increase in the AUC glucose from baseline to 0.5 years was highly significant for both ( P < 0.001).

Furthermore, anal cancer highlighted a Joinpoint with a decreasing trend from 2008 to 2014 (APC = −3.7%, 95% CI = −4.7, −2.8; p < 0.001) and a slightly increasing trend in the period 2014–2018 (APC = 1.3% 95% CI = −0.6, 3.3; p = 0.136).

The Kaiser-Mayer-Olkin (KMO) measure of sampling adequacy suggested that the sample was favourable (KMO = 0.936) and the Bartlett’s test of Sphericity was highly significant (χ 2 = 6723.041, df = 561, p < 0.001).

Spearman's rank correlations for all three methods were highly significant although r s values were much lower for ML ( r s = 0.743, P < 0.001) and parsimony ( r s = 0.743, P < 0.001) than for the Bayesian analysis ( r s = 0.835, P < 0.001).

Cold plate responses peaked at 10-30 days; however results were highly significant throughout the entire testing period (p ≤ 0.001; F = 874.584; df = 1; two- way ANOVA).

If corrected for age, the NfL increase in ataxic SCA3 subjects remained highly significant in both cohort #1 ( F (1,147) = 406.54, P < 0.001; based on a linear model with the factors group, age and their interaction, R 2 = 0.82; Fig 1 C) and cohort #2 ( F (1,70) = 169.49, P < 0.001, R 2 = 0.79; Fig 1 D).