Growth media type × acetic acid was weakly significant ( p = 0.05–0.1), specifically with 38 mM [HAc] + [Ac – ] significantly ( p < 0.05) reducing both root and shoot length in peat, compared to the 0 mM controls, whereas in the potting mix 47 mM was required to significantly stunt even the root growth ( Figures 5A,C ).
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The same correction is less evident with peak where there is only weakly significant ( P < .05) correction in the PM AC and Q.
In the A2/A3 genotypes, the damage was less consistent with only line 28 exhibiting a weakly significant ( p < 0.05) reduction at the lower temperature (Figure 5a ) and only two of the three genotypes showing a significant reduction at the higher temperature (Figure 5b ).
DJF003 was another marker has weakly significant ( P = 0.05) associated with SCMV-BJ and SCMV-Seehausen, closest linked to the abovementioned hypothetical protein.
Statistical analysis showed that the predicted binding sites shared more targets in common than would be expected by chance for both mouse and human genomes, with the results weakly significant for mouse ( p < 0.05), but not significant for human ( p = 0.18).
Four weakly significant, positive correlations were found between the questionnaire data of lateral preferences and laterality tasks (Ear-VHF picture: r = .21, p = .05; Ear-VHF word: r = .26, p = .01; Eye-VHF word: r = .24, p = .02; DL-Eye: r = .22, p = .03) and three stronger correlations with the VHF face accuracies (Total EHI: r = -.29, p < .01; Hand: r = -.32, p < .01; Foot: r = -.31, p < .01).
There was no significant effect of sex, and the weakly significant (p < 0.05) effect for number of adjustment factors was associated with an erratic pattern, with lower RRs where the number of factors was 1, and higher RRs where it was 0 or 2+.
The GQS-P showed weakly significant negative correlations with ACS-O ( r = -0.213, p < 0.05) and GQS-S ( r = -0.261, p < 0.01), reflecting an inverse relationship between student-focused educational value and patient accessibility.
There was no correlation for R2 population codes (Spearman’s rank, n = 29, ρ = .289, p = n.s.), but for retinal overlap there was a weakly significant correlation (Spearman’s rank, n = 29, ρ = −.371, p < .05).
For the QTL at the end of chromosome 4, LCN4-6 is weakly significant for greater skew than L er ( P = 0.05) as would be predicted if its Cvi introgression overlaps with the causative locus.
For example, there were weakly significant differences (0.01 < p < 0.05) by diagnosis in network connectivity correlations in group 1 (4 of 279), group 2 (12 of 1077), group 3 (3 of 366), group 4 (0 of 627) and group 5 (1 of 209).
For the shorter incubation (8 h), the addition of the XF prior to 3-NP ( Figure 3 A, white bars) for the first 4 h resulted in statistically insignificant or weakly significant ( p > 0.05) increase of cell survival in comparison to the 3-NP treated cells with no clear relationship to the applied XF concentration.
More specifically, in the moderating role of rural–urban factors, the effect sizes of two influencing factors—education level (Qb = 9.837, p < 0.01) and higher education participation (Qb = 6.753, p < 0.01)—were all significantly different, whereas the difference in the effect size of lifelong learning engagement was weakly significant (Qb = 4.341, p < 0.05).
The Mantel test confirmed also a relatively strong negative and weakly significant correlation (r = -0.45, p < 0.05) between the genetic distance and cosine similarity, which suggests that the similarity of MOTUs become more dissimilar with increasing distance ( Table 4 ).
This analysis revealed a significant contribution of the ATI score to ICT use for self-management; again, participants with higher ATI scores had a greater chance of also using ICT (estimate=0.50323, SE 0.08592, z =5.857; P <.001); furthermore, there were weakly significant ( P <.05) contributions of years since diagnosis, with participants diagnosed for >25 years having a slightly smaller chance of using ICT for self-management (estimate=–1.49372, SE 0.69406, z =–2.152; P= .03); and perceived influence on exacerbations, with perceived influence having a small positive effect on the chance of using ICT (estimate=0.84647, SE 0.32910, z =2.572; P =.01).
The results of Pearson’s correlation was weakly significant in terms of chronological age ( r = –0.4; p < 0.05), as displayed in Figure 4 , and strongly significant in terms of years of expertise ( r = –0.7261), as shown in Figure 5 .
On the one hand, there is weakly significant (0.1 < p < 0.05) evidence that the “satisfaction treadmill” is at work for income expectations, as there is a positive correlation between higher life satisfaction expectations and surpassing their income expectations, but not vice-versa (without controls: β 1 2 = 0.013, p > 0.1 and β 2 2 = 0.206, 0.1 < p < 0.05; with controls: β 1 2 = 0.024, p > 0.1 and β 2 2 = 0.197, 0.1 < p < 0.05).
A weakly significant decrease of max vector strength was observed between primary-like local and ascending neurons (ANOVA and Tukey–Kramer post hoc test: P < 0.05; all other comparisons: n.s.).
Regression analysis of the Bland–Altman differences between devices showed a weakly significant poor model fit for R5 ( R 2 = 0.06, p < 0.05) and for R20(19) ( R 2 = 0.07, p < 0.05).
In the correlation analysis, a negative and weakly significant correlation was found between gestational age (days) and bile acid levels ( r = -0.222, p < 0.05).
We discovered a weakly significant connection between MFAP2 expression and tumor purity (r = 0.075, P < 0.05).
Pearson correlation analyses showed that soil salt, EC, and BD had a weakly significant negative correlation with Shannon diversity ( p < 0.05).
The mutant exhibited a slightly higher rate constant that was weakly significant (P < 0.05 by confidence interval).
In this study, we observed a weakly significant (p<0.05) decrease in EF with conventional echocardiography in the patient group compared to the controls.
In the most downstream part of the estuary, 0–50 km, annual average concentrations show a weakly significant increase, at a rate of 0.5 mg L −1 yr −1 (p < 0.05, R 2 = 0.21) (Fig. 2F ).