Excerpts

The differences observed were highly significant: p < 0.0001.

Similar to pre-swing, in the mid-stance phase the differences between the CTRL and RUP2 and RUP21 were highly significant (F = 24.68, p = 0.0001).

Interestingly, dog's flexural modulus showed an increasing trend with age (p = 0.0003, r = 0.94).

In Model 3 PCT + sCD14, a score of 2 is highly significant (p = 0.0006) and with increased odds (11.67 (2.82–57.08)) in the diagnosis of sepsis compared to a score of 1.

The results of the Chi square showed that the Wald statistics are highly significant ( χ 2 ( 9 , 378 ) = 33.83 ; p < 0.001 ) , even though the pseudo r 2 = 0.0903.

The model for bulk density was highly significant, F (4,157) = 6.685, p < 0.001, the process parameters explaining 15 % of the overall variance in bulk density.

All the four tests (Wilks' lambda, Pillai's trace, Lawley-Hotelling trace and Roy's largest root) were highly significant (p < 0.001).

7 E) indicated a highly significant difference (p < 0.001) in the expression of the LRPPRC between the high- and low-risk groups of PD samples.

**p < 0.01 and ***p < 0.001 were considered highly significant). 3.

When compared to the control animals, the observations revealed that the MSG treatment increased the percentage of food intake significantly (p < 0.05) from the first week of treatment onward, and by week 2, the variation was highly significant (p < 0.001) ( Fig. 2 ).

The IC 50 value of the leishmanicidal and cytotoxicity activity test showed that highly significant difference between the tested samples and the standards at p < 0.001 ( Table 1 ).

Additionally, pneumonia was identified as a critical mediator in this association, showing a highly significant contribution to the indirect effect (p < 0.001) and holding substantial importance in the total effect (p = 0.020).

Statistical significance levels were denoted as follows: ∗ for p < 0.05 (statistically significant), ∗∗ for p < 0.01 (highly significant), and ∗∗∗ for p < 0.001 (extremely significant). 3.

The heterogeneity accounting for the differences in effect sizes among the studies included in the meta-analysis was large and highly significant (Q (51) = 179.742, p < 0.001).

The model also showed that PP has a highly significant strong positive relationship (β = 0.69, P < 0.001) with the PU construct.

Chicken flock composition showed a highly significant difference (p < 0.001) among agro-ecologies, except layers.

On the regression model, was extremely significant (P < 0.001), but the ANOVA for lack of fit was insignificant (P > 0.05).

Variation and agronomic performance of evaluated robusta coffee clones Analysis of variance (ANOVA) revealed a highly significant ( p < 0.001) difference among the Robusta coffee clones for all the assessed traits ( Table 2 ).

Variance components analysis of the 12 agronomic traits by likelihood ratio test (LRT) The 13 green gram genotypes had highly significant effects ( p < 0.001 and p < 0.01) for most of the agronomic traits such as DFF, PH, DI, NSB, NCP, NPC, PL, SYP and SW, and GEI indicated a more significant effect for DFF, PH, NCP, NPP, PL, NSP, SYP and SW ( Table 4 ).

The MK and Sen's slope test showed a trend in the time series data with a significant decrease in humidity over the years by 13.3% RH in Kampala ( p = 0.001) and by 13.2% RH in Namutumba ( p = 0.035).

Significant (P < 0.05) to very highly significant (P < 0.001) variation was also observed for seed quality traits such as volatile oil and oleoresin contents.

On running the Mann-Kendall test on temperature and rainfall data, the null hypothesis (H 0 ) of “no trend present” is tested against the alternative hypothesis (H 0 ) of “trend present.” The results from the test show that there exists a significant trend in the Minimum Temperature (p < 0.001) whilst the behavior of Maximum Temperature (p < 0.281) and Rainfall (p < 0.068) recorded over the period shows no significant trend (see Table 4 ). 4 Discussion 4.1 Land use change analysis To fully appreciate the degree of cover changes over the 30 years, the annual rate of change was used ( Eq.

In model M1, the KMO index was satisfactory, with the value = 0.863, and Bartlett's Test of Sphericity showed a highly significant (χ 2 = 1272.29, df = 91, p -value <0.001).

Based on the order of priority: biophysical drivers such as water stress, weeds, insect pest, and disease, over flooding, and low soil fertility was highly significant (P ≤ 0.001) among four yield groups in Table 4 .

Among the examined genes, the expression levels of VPS 28 exhibited a highly significant statistical difference between the two groups in the MAFLD dataset (P < 0.001).