“highly significant”

The 100 μ g mL −1 concentration was selected for the assay because of the highly significant ( P < 0.01) feeding difference between the resistant and susceptible isolates.

Scores for reduction of the defect site have remained unchanged in “HA” group at 60 days, however, a clear reduction of the defect site was observed in group “HA+BM.” Moreover, radiographic density was more important in “HA+BM” group with a highly significant difference as compared to control group (p<0.01).

Though significant ( P < 0.05) and highly significant ( P < 0.01) Pearson correlations were found between T2LV and all predictors, significance levels decreased as we progressed to more advanced statistical analyses, controlling for age and brain volume measures.

According to the analysis of variance for the response surface model, the model was highly significant ( p < 0.01) ( Table 2 ).

For adults with CP, a highly significant correlation was in contrast found between the fat fraction estimate and CMJ ( Figure 4D ; r = 0.75; p < 0.01), whereas no correlation was found with MVC ( Figure 4C ; r = 0.23; p = 0.5).

Consistent with this data, there was a strong trend (Pearson correlation coefficient=0.3, p=0.06; n=40) towards a correlation between Arg ( ABL2 ) and TWIST1 mRNA expression in human melanoma metastases (Oncomine Riker dataset), 37 which became highly significant when the n was increased by including all skin cancer samples (Spearman correlation coefficient=0.29, p=0.01; n=82).

SQUID‐BLS has a highly significant effect ( p < 0.01) to slope (coefficient = 0.584).

In contrast, a highly significant positive correlation was detected between the forest-to-non-forest landscape area ratio and numerical ratio ( r = 0.728, p < 0.01), suggesting a strong consistency in their variation under the socioeconomic production function.

According to the results, it was observed that quadratic polynomial models were highly significant with the low P values of 0.0004 and 0.0019 (both P < 0.01) for TPC and FRAC, respectively.

The correlation analysis showed a highly significant correlation ( P < 0.01, coefficient = 0.9567) between the results of qRT-PCR and RNA-seq ( Fig.

At 4 h through 48 h post-infection, internal growth of the mutants was found to be highly significant ( p -value < 0.01).

We focused on the modules satisfying the highly significant correlation ( p < 0.01) between GS and MM, together with a significant correlation ( p < 0.01) with a specific differentiation stage.

To indicate the significance of differences between drought stress means asterisks were used (*), accordingly, significant at * = ( p ≤ 0.05) and highly significant at ** = ( p ≤ 0.01), while not significant ( p > 0.05) is indicated with “ns”.

Analysis of variance indicated that all examined macro- and microelements were highly significant ( p < 0.01).

showed a highly significant decrease ( P < 0.01) in both body and liver weight when compared to control group- I, while a significant decrease ( P < 0.05) in liver weight was observed in group- IV [ Table 1 ].

The results are expressed as mean ± standard deviation (SD), with statistical significance set at p < 0.05 and highly significant values at p < 0.01.

ANOVA showed highly significant effects ( P < 0.01) of genotypes, environments, and genotype × environment interactions on all traits ( Table 1 ) that were exhibited.

The analysis of variance revealed a highly significant impact of the aeration treatment on the soluble solid content, organic acid content, and sugar acid ratio of the tomatoes ( p < 0.01).

Results: The response of test drugs was statistically highly significant ( P < 0.01) by using ANOVA repeated measure test, there was also relief in subjective parameters.

The ANOVA test on the distance walked during the 6MWT indicated that the factor "time" was highly significant (p<0.01) while the factor "group" (p = 0.49) and the interaction between factors (p = 0.27) were not significant.

Effects of brewery sludge on wheat tissues As the application rate of brewery sludge increased, a highly significant (P < 0.01) increase in the concentration of all heavy metals was observed in different tissues of wheat as shown in Table 5 .

TEAM-I Findings indicated that alcohol, marijuana, and amphetamine usage decreased among all intervention groups from intake to 6-month follow-up; however, the MEI group showed highly significant ( p ≤0.01) decreases when compared with the BI and control groups.

NS indicates not significant, and two asterisks indicate a highly significant difference ( p < 0.01, t-test).

P values were obtained from two-sided tests; statistical significance was set at P < 0.05 and highly significant differences indicated by P < 0.01.

Statistical significance was defined as p < 0.05, highly significant differences were indicated by p < 0.01, and p > 0.05 was considered as no significant difference. 3.