Excerpts

When comparing the mean percentage reduction in Streptococcus mutans , CFUs between the control group and each experimental group (II, III, IV, and V), the differences noted were all statistically very highly significant ( P < 0.001).

However, this correlation has a positive trend when the analysis is weighted by the sample size (β = 0.055; p < 0.001).

This difference is highly significant (χ 2 test, df = 1, P<0.001).

Stage 3: Item Performance Analysis Bartlett’s sphericity test was highly significant ( p < 0.001), as was the Kaiser–Meyer–Olkin (KMO) measure of sample adequacy (0.85).

Two-way analysis of variance (ANOVA) or Student’s t test was used in the analysis, indicated by the figure legends (* p < 0.05, significant; ** p < 0.01, highly significant; *** p < 0.001, extremely significant).

In contrast, a highly significant difference between the two groups of animals was found in response to peptide 5 ( P <0.001).

The difference in inhibition of sustained and transient adhesion by wortmannin at 10 nM was highly significant (P = 0.001).

The curvature immediately after tethering surgery (the initial Cobb angle) did have a highly significant correlation with the final curvature (p < 0.001).

In trained state, on the other hand, there were highly significant general differences between the vitamin and placebo group ( p < 0.001) both for the genes showing the largest SIT-induced increases (IL-1β and IL-6, Figure 1 a) and those showing more moderate effects ( Figure 1 b).

The difference between the response in control mice (19.7 ± 0.8, n = 6) versus CD40 −/− mice (4 ± 0.6; n = 6) was highly significant ( P = 0.001) and was independent of total CD8 cell numbers (data not shown).

A highly significant therapeutic effect was seen ( P <0.001) with cultures from normal or B16-immunized mice when stimulated with TRP-2 181–188 , but not with ova 257–264 peptide (when compared to treatment with IL-2 alone) (Fig. 4 ).

Despite a trend for a global treatment effect, IGF levels were not significantly different between the three groups whatever the photoperiod ( p = 0.078). Highly significant differences in testis size (Fig. 7a ) and testosterone levels (Fig. 7b ) occurred between each photoperiod ( p < 0.001) but treatment did not affect these parameters ( p = 0.726 and p = 0.203, respectively).

It should also be noted that this same trend was seen in Experiment 1 – that is, the group of Experiment 1 participants with the most liberal criterion for responding uncertain were the RB responders in the II condition. During the last 150 trials of the experiment, participants best fit by an RB model responded “uncertain” more frequently (M = 63.2, SD = 35.2) than those best fit by an II model (M = 12.8, SD = 15.2), and this difference was highly significant [ t (24) = 5.13, p < .001].

In this case, log-transformed data were fitted to a linear regression model, resulting in an estimated decay rate of d = -0.0310 ±0.0037 h -1 ( R 2 = 0.549, F 1,57 = 69.510, P < 0.001). Interestingly, the loss of infectivity in cell-free media was 3.35-fold faster compared to that in a media containing cell lysates, being the difference between both conditions highly significant ( t 78 = 32.925, P < 0.001).

Comparison between egg counts showed that the difference was highly significant (p < 0.001).

In spite of the wide variations in the individual values, the differences in the spike amplitude and maximum rate of rise with and with- out oxytocin were both highly significant (P = 0.001 in each case, Table V).

An analysis of the longitudinal data shows that the use of healthcare services by female street-dwellers increased by 56 and 31 % between baseline and end line in both the model clinic areas, and the difference was highly significant ( p < 0.001).

The difference in the rate of EFC with and without epidural air bubbles showed a trend toward significance ( p <0.001).

On intragroup comparison from baseline to 3 months in the test group, PD showed a statistically significant change with P = 0.002; CAL, TAG, VDR [ Figure 6 ], and GRW [ Figure 7 ] all showed highly significant changes with P < 0.001; WKT showed no significant change with P = 0.667; and postsurgical discomfort levels also showed a highly significant change with P < 0.001 [ Table 2 ].

Viral abundance increased for all treatments over time ( f = 48.02, p < 0.001) and between enrichment steps ( f = 12.66, p < 0.001) with a highly significant interaction ( f = 6.78, p < 0.001).

The chi-square analysis showed highly significant association of RBCs/ECs ratio in severe candida infection for 2015 (χ2 = 14.98, p < 0.001), 2016 (χ2 = 15.13, p < 0.001), 2017 (χ2 = 40.6, p < 0.0001), 2018 (χ2 = 27.37, p < 0.001), 2019 (χ2 = 23.37, p < 0.001) and 2020 (χ2 = 8.431, p < 0.001).

Notably, the group × time interaction was highly significant in all models (all p < 0.001), with Cohen’s d values in Model 3 being 1.65, indicating a substantially greater improvement in self-management efficacy in the intervention group compared with the control group. 3.7.

There was a highly significant difference in the ORR (72% versus 40%, p < 0.001) and the CR rate (19% versus 1%) ( Table 1 ).

Indeed, there was a linear ( r 2 = 0.92) and highly significant ( P < 0.001) relationship between ambient temperature and BT ( Figure 7B ).

Post hoc analyses revealed a performance decrease in the control group ( p = 0.045) and a highly significant improvement in the experimental group (p < 0.001).