Excerpts

The differences for the violet filter condition were highly significant (Q1, p < 0.016; Q2, p < 0.019; Q3, p < 0.026).

The difference between the two groups was highly significant after 7 days of follow-up (t = 2.47, p = 0.016).

Similarly, fertility was affected significantly by temperature (F 2,40 = 5.762, P = 0.006) but chilling duration (F 2,40 = 2.964, P = 0.063) had no significant effect and the interaction of two independent variables had a little significant (F 4,40 = 3.484, P = 0.016).

For reducing power, the regression model is highly significant (F = 6.03, p-value = 0.0162), indicating that the model effectively explains the variation in reducing power.

Statistically highly significant association were found between employer groups and depression (X 2 = 11.935, p = 0.018), and anxiety (X 2 = 7.311, p = 0.050).

Results showed that frequency of bouldering was highly significant ( p = .020 with BDI and p = .007 with the SCL depression as dependent variable) with all other predictors remaining in the same range.

In Village A, a negative moderately significant correlation was established for the presence of ETEC in the wet (r = −0.514; p = 0.020*) and a weak negative correlation in the dry season (r = −0.333; p = 0.151).

It approached significance in the case of the SO (F 3,42 = 3.6, p = 0.021 DELAY ) and TA (F 3,42 = 3.9 ε=0.5 , p = 0.049 DELAY ).

Contrary to expectation, the definitive analysis showed a strong trend of density decrease away from the trails for this species (Jonckheere-Terpstra Test, Z = -2.021, p = 0.022, n = 1390 plots).

Based on these reports, the regression model found in Table 4 was highly significant, as it is evident by the F-value = 5.50 and the low p-values = 0.0221, respectively.

Based the random effect estimated result, in Table 13 , the import intensity coefficient, estimated at −.127 was highly significant and had a negative influence on employment, p-value < 0.027, the random model results reveals that industry size and advertising have greatly contributed to employment growth (p-value < 0.001).

Soil pH, EC, TDS, and Cl showed slightly significant differences between different vegetation cover groups ( p < 0.03), while both soil Mg and HCO 3 showed no difference ( p > 0.05, Table 1 ).

The highest value is for Lee County (0.97, p < 0.0001), where offshore SGD from the LTA is likely to be a factor, but the lower values for Sarasota, DeSoto, and Charlotte counties are still highly significant (0.66–0.88, p < 0.03 to 0.002).

For men older than 45 years old, A-HgM exposure had a slightly significant increase on MS risk (RR: 1.17, CI: 1.01–1.37, p = 0.04) whereas women older than 45 years exhibited a significant increase of MS incidence compared to control (RR: 1.53, CI: 1.39–1.69, p < 0.001) ( Figure 3 , eTable5).

R 2 < .01, but the addition of asexuality (B = -.28, SE = .10, β = -.27, t = -2.62, p = .010) yielded a marginally significant effect, F (4, 91) = 2.58, p = .043, Adj.

There was a marginally significant influence of subject on plaque size ( P = 0.046), without any significant influence of the side, or the interaction between side and subject ( P > 0.05 for both). 4 Discussion 4.1 Summary of findings We observed a consistency in geometry among carotid atherosclerotic plaques of different sizes, while the plaque size could be significantly different among subjects.

Participants with working mothers scored less in both practice (33.3%) and knowledge (40.2%) questions, yet the difference was borderline significant ( p = 0.048) for the practices only.

However, for 6 V, the effect was nearly significant (P = 0.048), with an observed increase of 16% in the specific growth rate.

However, the association was marginally significant (p = 0.049).

Fusicatenibacter showed moderately significant positive and negative correlation with eGFR (r = 0.335; p = 0.049) and serum creatinine levels (r = −0.350; p = 0.039), respectively.

The duration of exposure to traffic intersection noise emerged as a highly significant predictor of annoyance levels (p < 0.05).

Chl -a density inside exclosures was 5.3 mg m −2 (54.4 mg m −2 ; n = 54, ±95% CI 3.33) higher than the adjacent control plots (49.1 mg m −2 ; n = 54, ±95% CI 3.14) and was only marginally significant (t = 3.00, p = 0.05).

The Kruskal-Wallis test revealed a highly significant difference ( P < 0.05) among the treated groups in association with the independent variables.

A trend toward significance was observed with a lower blood glucose 30 min after NBFR walking than before walking ( P = 0.050), with large effect size ( d = 1.00). 3.2.

The degree of significant associations between the variables were presented as P < 0.001*** (highly significant), P < 0.01** (moderately significant) and P < 0.05* (significant).