Excerpts

Export was not statistically meaningful in Model 5 but highly significant in Model 6 ( p < 0.001).

Independently from age we found low, but highly significant correlations (p<.001) between negative affect and suppression in the subsample with implicit emotional awareness.

These differences were statistically highly significant between the control and IN groups ( p < 0.001) and also between the IP and IN groups ( p < 0.001), clearly highlighting the therapeutic benefit of intranasal delivery in the case of MTX [ 87 ].

Using conventional benchmarks (≥ 0.90 = excellent; 0.75–0.90 = good), these findings support excellent stability for: Concern About Aversive Consequences, Sensory-Based Avoidance, and Severity of Impact, and good stability for Lack of Interest; all tests were highly significant ( p < .001).

Mean, standard error mean (SEM) and Two-way ANOVA was used to analyse the data obtained from in vitro kinetics, ELISA and oxidative stress assays (** P < 0.01 was said to be significant and *** P < 0.001 was said to be highly significant).

A highly significant linear correlation was observed between the daily maximum and daily minimum temperatures (y=0.98x+10.26, R 2 =0.957, p<0.001, online supplemental figure 2 ).

Similarly, there was a highly significant ( P < 0.001) positive correlation between FACIT-F and physical (+0.70) and emotional scores (+0.45) of QOL.

Differences in community composition are highly significant, as shown by both ANOSIM and PERMANOVA ( p < 0.001, Supporting Information Table S4 ), providing proof for a distinct succession of fungal communities.

The repeated measures ANOVA of the within-session CoV revealed the impact of the volumetry tool to be highly significant (p < 0.001), whereas the tool * CART-based categorization interaction effect did not reach statistical significance (p = 0.595).

Results and Discussion Body weight, food intake, and water consumption In Table 1 , FA treatment resulted in a highly significant decrease in final body weight, food intake, and water intake when compared with the control group (p < 0.001).

All four inflammatory indices (NLR, PLR, SII, MLR) exhibited highly significant group differences, even after adjusting for age: Group F-statistics varied from 7.91 to 10.34 ( p < 0.001 for all indices).

Recovery and stress within the AVEM patterns The examination of both the main scales of stress and recovery as well as their subscales showed highly significant differences between individuals in the AVEM A and B risk pattern groups and the AVEM G and S health pattern groups ( p < 0.001).

Statistical significance was defined as significant ( p < 0.05, *), very significant ( p <0.01, **) and highly significant ( p < 0.001, ***).

Paired lines display some variability in magnitude of saving between respondents, but the overall pattern is a consistent reduction; the Wilcoxon test yields a highly significant P -value ( P ≈ .001), indicating the change is unlikely due to chance.

IL-22 treatment even will lead to an increasing trend for body weight ( P < 0.001; Figure 1(d) ).

In contrast, the omitted dimethyl disulfide and dimethyl trisulfide models showed highly significant results ( p ≤ 0.001 and ≤ 0.01, respectively).

The fitted model (Discomfort = −28.94 + 1.12 × Loudness) showed a highly significant slope, t (133) = 27.64, p < .001, reflecting a near-linear coupling across the tested intensity range.

Starting in the eighth epi-week, the top-20 clusters were highly significant ( P < 0.001) and came largely from the Midwest and South regions.

The model was highly significant (R 2 = 0.153; F (5,576) = 20.8; p < 0.001).

Nevertheless, there was a highly significant difference ( p < 0.001) in smoking status between NSCLC patients (51.2%) and controls (23.9%).

P <0.05 was considered to indicate a significant difference, P <0.01 was considered to indicate a highly significant difference, while P <0.001 was considered extremely significant.

The bivariate correlation between septum thickness and LV mass/BSA was highly significant (r=0.635, p<0.001), and we included only the septum thickness in the multinomial model.

Readiness to quit had small but significant positive correlations with identified regulation for each of the substances measured (rs = 0.118 – 0.262, all p s < 0.05), and small but highly significant negative correlations with external regulation for alcohol ( r = −0.119, p < 0.001) and stimulants ( r = −0.178, p < 0.001).

The mean age of the alcohol users was 35.16 ± 10.2 compared to the opioid users, whose mean age was 26.09 ± 5.65, and this difference was found to be, statistically, highly significant ( P < 0.001).

As shown in Figure 2 , the prospective effect of SNA on NSSI was strongest and highly significant in the low resilience group (T1-T2: β = .25, p <.001; T2-T3: β = .23, p <.001).