Gut microbiota communities of the mice in the group of YDC and ETC showed a trend of increase of Bacteriodetes ( P < 0.001) and decrease of Firmicutes ( P < 0.001), compared with those of the MOD group mice (see Figures 3(b) and 3(c) ).
A statistically significant correlation was assumed at p < 0.05 (*); p < 0.01 is a highly significant correlation (**); and p < 0.001 is a very highly statistically significant correlation (***). 5.
Clutch size and nestling survival in non-predated clutches Laying date of the first egg had a highly significant negative effect on clutch size (model #4: − 0.178 ± 0.014 SE, t = − 12.8, n = 736, p < 0.001).
The effect of study year on CPXV seroprevalence (by χ2/d.f.) was highly significant (χ 2 2 31.2; p<0.001); seroprevalence was 2.7 times higher among bank voles sampled in 2010 (36.1% [95% CI 31.7%–40.7%]) than in 2002 (13.1% [7.4%–21.0%]).
These large effect sizes, combined with highly significant p -values ( p < 0.001), demonstrate that the treatment effects are biologically meaningful and detectable despite the limited sample size.
Heterogeneity was highly significant ( p < 0.001) in yield, biomass, height, stem diameter, WUE, stem diameter, weed biomass, moisture content, temperature, pH, AP, and K.
The results suggest an increasing trend of mass shooting incidences over time (p < 0.001).
The results of Bartlett’s Test are highly significant ( p < 0.001) for both study areas, demonstrating that the correlation matrices significantly differ from identity matrices, thus validating the appropriateness of FA for each dataset.
coli isolates resistant to most of the antibiotic categories remained stable between 2015 and 2019, though a decreasing trend in the proportion of E. coli isolates resistant to fluoroquinolones (37.8–32.0%, p < 0.001) and aminoglycosides (15.6–11.9%, p = 0.002) was observed over time (Fig. 3 ).
Results The width increases were highly significant, both in the overall and in the individual groups ( p < 0.001).
Paired t -tests indicated that there were highly significant improvements on all measures: PHQ-9, t (1647) = 47.0, p < .001; GAD-7, t (1647) = 45.4, p < .001; CORE-OM, t (91) = 8.9, p < .001.
Table 7 presents the SEM-implied correlation matrix among the three latent variables, indicating that the associations between the Emotional Restoration System (ERS), the Place Attachment System (PAS), and Perceived Rural Sustainability (PRS) are all highly significant ( p < 0.001).
Highly significant differences were detected in all three parameters of the eggs: the width, length, and volume (F (1:682) > 22.200, p < 0.001).
A highly significant decrease in apical diameter was noticed from 12 months onwards ( p < 0.001).
Effect on lipid profile Analysis of lipids showed that in Vamana group there was highly significant reduction in total cholesterol and low-density lipoproteins (LDL) (p < 0.001), while significant reduction was seen in ratio of high-density lipoproteins (HDL) and total cholesterol (p < 0.05).
Moreover, the results demonstrated that LKS at 6 months postoperatively had significantly improved in both groups, with a highly significant difference compared with preoperative scores (both P < 0.001; Table 3 ).
A highly significant difference was found between the groups ( P < 0.001).
All pairwise correlations in the clusters mentioned above were highly significant ( p < 0.001).
The main effect of the dose was highly significant ( p < 0.001).
The ANOVA yielded a highly significant result, F (2, 114) = 50.66, p < 0.001, indicating that the magnitude of change in authenticity perceptions varied substantially by source.
The drug released from nanoemulsion was extremely significant (p<0.001) in comparison to commercial capsules, having the same quantity of SYN ( Figure 8 ).
Using a linear regression model employing age, serum folate, vitamin B12, gender and eGFR as independent and Hcy or MMA as dependent variables revealed a highly significant (p < 0.001) inverse relationship of both Hcy and MMA with eGFR.
A two-way ANOVA analysis of the data showed highly significant differences between Cry1 and Cry2 (p < 0.001), a highly significant dose-dependence (p < 0.001) and an equally highly significant interaction between the two parameters (p < 0.001).
In contrast, in the post-implementation phase, 80 patients had 277 episodes over 1,496 person-days (18.5 events per 100 person-days), representing a highly significant decrease (χ 2 (1)=145.26, p <0.001) following PUSH implementation.
Results indicate that together MSR and TTR at T1 explain 41% of the variance within CMAS at T2 ( R 2 = 0.47, F (2, 343) = 151.5, p < 0.001) with highly significant contributions from both indicators (β TTR = 0.47, p < 0.001 and β NSR = 0.30, p < 0.001).