There was a highly significant association between the presence of AN and higher insulin levels ( P = 0.000).
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The results showed that, though the different weed control methods did not significantly (p>0.05) influence soil infiltration rate, when combined with tillage systems in a factorial design, there was a highly significant interaction effect, p < 0.000, F (6) = 5.530 ( Table 6 ).
This relationship is also highly significant ( p = 0.000) with an r-squared value of 0.265.
Mean caries distribution was found to be statistically highly significant among maxillary anterior and mandibular posterior segments ( P = 0.000 and P = 0.001, respectively) [ Table 5 ].
Among these pairs, four exhibited highly significant values ( p = 0.0000 +/− 0.000), which are highlighted in bold red in Table S4 .
The highly significant value of the Kruskal–Wallis test (Chi-Square = 80.08, p -value = 0.00) revealed statistically significant differences among hospitals from distinct classes of competence regarding the supply method.
It was found that women of HP had more premature babies and fetal mortality, and the difference is highly significant ( p = 0.000).
A strong, highly significant positive linear correlation was observed between VV M1 × VV M4 (r = 0.8712; p = 0.0000; Figure 4 A) and between VV M2 × TT M1 (r = 0.834; p = 0.0002; Figure 4 B).
The correlation between samples by PICRUSt metabolic inference was weaker than with our method, but was still highly significant (R 2 = 0.40, p ≈ 0) ( Fig 4D ).
This difference was highly significant (p = 0.000).
Here, ANOVA for all yields manifest that they are highly significant (model F -values and very low probability values p = 0 for all the response variables).
congolense Mikese compared to negative control was highly significant ( P = 0.000).
There was also a highly significant difference in mean age, which was 33.99±5.98 years for cases and 31.29±5.71 years for controls ( F =35.797, p =0.000).
For the branch models (Table 2 ), the H 1 hypothesis (H 0 as null) was found to be highly significant (H 0 –H 1 , df = 1, χ 2 p ‐value = .000), while the H 2 model (H 0 as null) was not supported (H 0 –H 2 , df = 1, χ 2 p ‐value = .142).
However, presence of ≥3 coagulation abnormalities, presence of significant drop in haemoglobin post operatively and /or development of chest infection predicted death in postoperative neurosurgical patients with accuracy of 80.4% and this was highly significant ( P = 0.000).
The principle component was applied to conduct confirmatory factor analysis and the KMO was 0.913 and Bartlett’s Test of Sphericity was highly significant ( p < 0.000).
Within this model, highly significant predictors were both the independent continuous (dpi: F (1, 299) = 19.267, p = 0.000) and categorical (treatment: F (5, 299) = 62.880, p = 0.000) variable.
Risk score The risk score calculated according to the method described above had a mode of 0, a median of 1, a mean of 1.21, and a maximum of 8 for all 1672 persons and correlated highly significant and negative (Spearman correlation 0.41 p < 0.000) with the BMI.
In our study, methylergometrine was found to be most effective drug with mean blood loss of 246.87 ± 65.44 mL as compared to misoprostol 346.13 ± 58.35 mL and oxytocin 334.5 ± 69.20 mL ( P = 0.000 which is highly significant).
Highly significant difference was observed in the source of information among different categories of workers ( P = 0.000 ).
Statistically significant association of probable cases of PCOS was observed with age at menarche ( P = 0.001), religion ( P = 0.023), marital status ( P = 0.010), and gravida of patient ( P = 0.004), and highly significant association between PCOS probable cases and educational status ( P = 0.000), socioeconomic status ( P = 0.000), and dietary pattern ( P = 0.000).
In contrast, gene set enrichment analysis of the up-regulated gene list revealed a highly significant correlation with transcripts that are up-regulated during embryoid body differentiation ( p = 0).
To further identify highly significant DEGs, stricter thresholds were applied (|log 2 FC| ≥ 4 and P-value ≈ 0).
There was a highly significant, close correlation between IMCL and EMCL within the total study population ( r = 0.73, P = .000) as well as within the groups or strata.
Haemoglobin concentration variation based on malaria parasite infection The Haemoglobin concentrations were log-transformed in base 10 and malaria parasites had a highly significant impact (F = 49.866, p = 0.000) on the mean Haemoglobin concentration in infected patients see Table 8 .