“slightly significant”

Concerning the relationship between SoC and CP (hypothesis 6), the results in this study implied that a slightly significant correlation existed between students' perceived SoC and CP (β = 0.256, p < 0.0).

With burnout as the dependent variable, the overall equation was significant, R2 = 0.71, F (3, 600) = 713.9, p < 0.001, while the direct effect of the remote work risk factors on burnout was slightly significant, and the indirect effect on burnout through emotional intelligence was significant and moderated by metacognition ( R2 change = 0.01, F (1, 600) = 21.58, p < 0.000) ( Figure 2 ).

Auditory spectrotemporal receptive fields (STRFs) (Figure 9C,Di ) were only moderately affected in Otogl +/− mutant mice relative to Otogl +/+ controls, with a slightly significant change in response latency ( p = 7.10 −8 , nested two‐way ANOVA, group effect, animal factor nested in group, F(1,1379) = 29.5) and a 5.8% decrease in frequency bandwidth ( p = 0.048, nested ANOVA, F(1,1379) = 3.9), with no change in maximum evoked firing rate ( p = 0.06, nested ANOVA, F(1,1379) = 3.5).

The GOEAST analysis only reveals some slightly significant overrepresented GO-terms, as, for example, the Molecular Function alpha-glucosidase activity ( P -value = 2.91E −7 ).

Results Correlation analysis between CNV values obtained with the two methods was slightly significant ( R = 0.413, p = 0.00002), because of the wider data dispersion in qPCR compared with ddPCR.

The participants generally enjoyed navigating the three scenarios, but slightly significant differences were observed for pleasantness ( p < 0.0001), to a lesser extent, within the supermarket (mean score of 3.77 ± 0.62, median 4) compared with that within the museum (mean score of 4.14 ± 0.63, median of 4) and the highest level in the city scenario (mean score of 4.41 ± 0.67, median 5).

The similarity between the two groups was also evaluated using PERMANOVA, which showed slightly significant differences between the HCC and control groups: p -value < 0.0001, but the pseudo-F value is low (pseudo-F = 1.43). 2.3.

LBM absolute value showed a slightly significant decrease (pre 53.23 ± 5.02 kg vs post 52.09 ± 4.60 kg), but its percentage value was slightly increased (pre 65.74 ± 3.75% vs post 72.71 ± 3.55%; p < 0.0001), with an overall improvement in body composition.

(X) p > 0.05 was considered non-significant; (*) p < 0.05 was considered significant; (**) p < 0.01 was considered slightly significant and (***) p < 0.0001 highly significant.

Additionally, there was a slightly significant negative correlation between RA and MS (correlation coefficient = -0.46, P = 8.3 × 10 − 4 ), and a slight but significant positive correlation between MS and T1D (correlation coefficient = 0.20, P = 0.041).

The analysis revealed that it was slightly significant with effective economic decision-making 0.096 ( p < 0.001), self-control 0.053 ( p < 0.001), conscientiousness 0.054 ( p < 0.001), selflessness and giving attitude 0.068 ( p < 0.001), neuroticism −0.062 ( p > 0.05), and attitude to money 0.104 ( p < 0.001).

Significance levels were set at p > 0.05 (not significant), 0.05 ≥ p > 0.01 (slightly significant), 0.01 ≥ p > 0.001 (significant) and p ≤ 0.001 (highly significant).

Correlations between variables In this study, antenatal depression was found to have a moderately significant positive correlation with pregnancy stress (r=.52, p <.001), a moderately significant negative correlation with self-esteem (r=–.49, p <.001), and a slightly significant negative correlation with social support (r=–.24, p =.001).

The P value higher than 0.05 ( P > 0.05) were considered statistically non-significant, P ≤ 0.05 were denoted by one asterisk and considered slightly significant, P ≤ 0.01 were denoted by two asterisk and considered moderately significant, and P ≤ 0.001 were denoted by three asterisk and considered highly significant.

Mental health literacy and help-seeking intentions MHLS had a slightly significant positive correlation with GHSQ ( r = 0.195; P < .001), which is consistent with the results of previous studies.

With fixed effects of the year and hospitals in column (2) and column (3) of Table 4 , length of stay had a slightly significant decrease if cluster standard errors by hospital were not included (0.73 days, p < 0.001); however, the decrease of length of stay was no longer significant after cluster standard errors by hospital were included ( p > 0.05).

The random effect model shows a slightly significant difference in the sensitivity of studies with single-source and multiple source datasets with ( p -value <0.001) ( Fig. 4 ).

ANOVA pointed to the significant influence of the factor of the respondents’ category on the variation of evaluation of the effectiveness of emails (ɳ 2 = 10.5%, p < 0.001), as well as a slightly significant influence on SMM (ɳ 2 = 3.63%, p < 0.001).

3.4 Simple Linear Regressions and Correlations Between Tau‐PET Signal and Cognition Simple linear regression between [ 18 F]MK‐6240 tau PET quantitative data and the global cognitive Z ‐score in the Aβ− population was slightly significant for the Braak ≤ 2 region ( R 2 = 0.13; p = 0.001), mostly driven by a few Aβ− uMCI and two FTD subjects.

We also analyzed the breast cancer-specific survival and slightly significant differences were observed (χ 2 = 140.4, P < .001, Fig. 2 A).

There was only a slightly significant relationship in the area of relationship with one's co-workers (P<0.001, r: 0.24) ( Table 3 ).

The antenatal depression scores significantly decreased from pre-intervention to post-intervention (mean difference = 4.00, p < 0.001), and there was a slightly significant decline from post-intervention to follow-up (mean difference = 1.167, p = 0.001).

Sample quality statistics revealed a slightly significant (at the margin of statistical significance) correlation between typed Y-SNPs with initial chrY concentrations measured before library preparation (p = 1.30×10 −3 ) and their degradation index (DI, p = 1.27×10 −2 ) (see section ‘CSYseq robustness’, S2 Fig ).

Compared to all cases, we further noted a slightly significant and higher estimate of negative genetic correlation in calculated free oestradiol (rg = −8.86%, se = 2.80%, P = 1.57E-03); SHBG (r g = −8.78%, se = 2.73%, P = 1.32E-03) and educational status (r g = −11.95%, se = 4.85%, P = 1.39E-02) for incident cases.

However, we detected (Table 2 ) a slightly significant lifespan modulation (LogRank p = 0.002) when klotho knockdown was assessed in a daf-2 (m577) genetic background (Figure 4C ).