Statistical significance was defined as p < 0.05, and highly significant differences were defined as p < 0.01 ( n = 3).
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There was a significant negative correlation between Bacillus and ethyl hexanoate ( p < 0.05), Pichia showed a significant negative correlation with ethyl isobutyrate ( p < 0.05), Candida showed a highly significant negative correlation with ethyl butyrate ( p < 0.01), and Rhodosporidium was significantly positively correlated with ethyl butyrate ( p < 0.05).
The influence of different pretreatments on the chemical compositions of oils Our results revealed that the influence of PEF and microwave pretreatments on the amount of chemical components of oil samples were quite significant ( p <.01).
The analysis of the variance of diversity index (H′) based on the regions showed highly significant (P < 0.01) variation for StP, LfC, GlC, LmC, LmCM, KrRw and KrC.
In ‘left competitive’ and left non-competitive' conditions the statistical difference was quite significant (p< 0.01).
Differences were considered statistically significant with P <0.05 (*) and highly significant with P <0.01 (**) and P <0.001 (***).
Postoperative PSA values were 2.8 ± 0.5° for RATKA and 4.6 ± 1.1° for CTKA, showing a highly significant difference ( p < 0.01).
Differences in expression were considered significant ( * ) when P < 0.05 and highly significant ( ** ) when P < 0.01.
About 44% of the DNE1 targets had 3′ UTR lengths ≥ 350 nt, and this was modestly significant ( P < 0.01, as determined by the Fisher’s exact test) compared with nontargets (35%; Fig. 4A ).
Statistical Analysis The data were subjected to Student’s t -test (two tailed) analysis and expressed as the mean ± S.D., and difference was considered significant at P < 0.05 and highly significant at P < 0.01.
Within these trials, for Canton-S, most movement parameters were highly significant ( p ≤ 0.010) with the non-significant exceptions including DCR ( p = 0.349), MC ( p ≤ 0.081), and I -index ( p ≤ 0.073) for micro-areas ( Table 1 a).
Significance levels were determined as follows: significant (*) for p ≤ 0.05, highly significant (**) for p ≤ 0.01, and extremely significant (***) for p ≤ 0.001.
Significant differences ( p < 0.05) were found for PCB-101, PCB-156, and PCB-170, and highly significant differences ( p < 0.01) were found for PCB-52, PCB-118, PCB-138, PCB-153, and PCB-180. p,p ′-DDE and total PCB serum concentrations, as the sum of all the 11 congeners analyzed, were also significantly higher (relative increase: 44.9 and 48.4%, respectively) in cases than in controls.
In contrast, there was a steady decline of TP in the cold season stocking treatment; this decline was significant ( p < .05) for the 8 sheep/ha and highly significant ( p < .01) for 16 sheep/ha stocking rate.
Both awn and anther length showed highly significant ( p < .01) differences between sites.
Differences were considered significant at a p -value of < 0.05 (*) and highly significant at a p -value of < 0.01 (**) and p -value of < 0.001 (***).
Water use efficiency for each interval (WUEn) calculated using Equation 2 exhibited highly significant sensitivity at S1, S3, S4, and S6 (p< 0.01).
This protein component showed a highly significant positive correlation ( p < 0.01) with viscosity, chroma, foam stability, foam volume expansion rate, and foaming capacity.
Comparison of categorized longitudinal arch values on the amputated breast side (F1) and healthy breast side (F2) showed highly significant ( p < 0.01) difference with respect to Clark’s angle and significant ( p < 0.05) difference with respect to KY index.
The comparison was statistically highly significant ( P < 0.01) with the control group.
There was no difference between p-glucose or HbA1c between the groups, but a highly significant difference in C peptide p<0.01 was observed.
Results Feature selection Amongst the 18 initially devised features, 5 are highly significant ( p < 0.01) as determined by the explanatory power test (see Table 3 ).
Sensory Attributes All the main factors (variety, location, and harvesting time) were highly significant ( P < 0.01) for all sensory traits, and the interactions between those factors were significant too.
The significant differences were shown as P<0.05, and the extremely significant differences were shown as P <0.01.
Compared with commercially available activated carbon, the ACFF showed a marked improvement in the maximum adsorption capacity either before or after modification, and the difference was highly significant ( p < 0.01).