Excerpts

Statistical analysis The correlations among the A%, T%, G%, C%, A 3s, T 3s , G 3s , C 3s , GC 3s , ENC, Aroma and Gravy were calculated using Graphpad Prism 5.0, with an extremely significant relationship (**) of p < 0.01 and a significant relationship (*) of 0.01 < p < 0.05.

The differences in distance index within the group between the negative control group and the antibiotic-treated groups were highly significant ( p < 0.01) ( Figure 1 E).

Statistically significant differences were set at P < 0.05, and highly significant differences were set at P < 0.01.

Compared with the model group, the bone marrow DNA content in the G-Re group was significantly greater, and the difference was extremely significant ( P < 0.01).

A P value of <.001 was considered highly significant while a P value <.01 was considered significant.

RESULTS AND DISCUSSION Utility of Partial Body Weights In analyses of variance for the assessment of partial body weight and predicted body weight as predictors of recorded body weight at the beginning of the test period, the interaction of the contemporary group with the regression effects were highly significant ( P < 0.01).

3.5 Effect of Si-NPs and IBA on proline and total protein level under Cr-stress Statistically highly significant ( P < 0.01) reducing impact was found under Cr stress for proline and total protein contents in freesia plants compared to the control.

Of these 14 phyla, the relative abundance of 12 phyla showed highly significant differences ( p < 0.01) between groups.

As the FCR, ADFI and BW8 of higher RFI group were extremely significant higher ( P < 0.01) than the lower RFI group.

Result- Table 2 inferred that there was a statistically highly significant difference seen for the frequencies between the groups (p < 0.01) with higher frequencies for smear layer score 5 with saline group while scores 3 and 4 with NaOCl Extra while score 2 with Pro- EDTA, score 4 with CHX Ultra, score 2 with Biopure MTAD while scores 2 and 3 with 0.2%chitosan nanoparticles.

Between the two groups of maternal rats, there was a highly significant difference in Bifidobacterium (p <0.01).

Later, Tukey honest significance test was carried out to ascertain the significance between the two test groups and established a highly significant difference ( P < 0.01) for 80 nm group, compared to that of 40 nm group.

This mean score decrease was statistically highly significant ( P < 0.01).

A highly significant positive Pearson correlation coefficient (r = 0.87, p<0.01) confirmed satisfactory performance of the airborne starch detections using the Rapid-E device, which allowed us to use 1 min resolution data during further analysis ( Fig. 5 ).

However, following treatment with LTP and AP, the concentrations of ZO-1 and occludin in renal tissues showed an increasing trend ( P < 0.01) (Figure 3A and B ).

DM and nutrient uptake In 2017, there was a highly significant ( P < 0.01) interactive effect between dripline spacing and fertilization rate on DM (Table 5 ).

Risk factors for food insecurity In the most parsimonious models, where we adjusted for only demographic and wealth levels—age, gender, ethnicity, widow-status, religion, marital status, social support, and wealth quintiles—women were more likely to report HFI: 12 percent higher odds for any type of HFI and 45 higher odds for the severe HFI both highly significant (p < 0.01) (see Table 3 ).

Highly significant correlations (P ≤ 0.01) were noted between WBC and: RBC, HGB, HCT LYM, MON, and PDW ( Table 4 ).

Among the physicochemical indices, organic matter had an extremely significant effect on TN and TK ( P < 0.01), while TN had a significant effect on TK and XN ( P < 0.05).

The mean difference in intermolar distance between the four groups was analyzed using one-way ANOVA (Table 3 , Figure 2 ) and was found to be statistically highly significant (p<0.01).

We found a highly significant ( P < 0.01) difference between species for the variables: P r , r m r s , A max , V cmax , J max , TPU, r d , leaf water content, LMA, intercellular airspace and cell wall thickness.

Inhibition of Cancer Cells Extravasation by Au-GSH NPs A twenty-four-hour cell co-culture with Au-GSH NPs, prior to iv injection, resulted in the inhibition of extravasation efficiency, statistically significant for OSCA-8 ( p -value ≤ 0.05) and highly significant for OSCA-32 ( p -value ≤ 0.01), through the decrease in extravasation rate of Au-GSH NPs-treated cells in comparison to untreated cells ( Figure 7 ).

The average artery density in the finasteride group was 1.26 ± 0.87 as compared to 2.00 ± 1.19 in the placebo group and the difference was highly significant ( P < 0.01).

Under control and salt stress conditions, it was shown that all the genotypes behaved differently because the interaction among the genotypes and treatments was highly significant ( p ≤ 0.01) for all traits.

For both the Elecsys® Tg II assay and the LIAISON® Tg II Gen assay, difference between these two groups were highly significant (p < 0.01).