Registered data represented the mean values and standard deviations (SD) of three experiments, considering three levels of significance ( ∗ meant significant P < 0.05, ∗∗ meant very significant P < 0.01, and ∗∗∗ meant extremely significant P < 0.001).
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In the literature
The results showed a high correlation between the two methods in turbulence slope (TS) (P<0.001; r=0.84) and an extremely significant correlation in turbulence onset (TO) (P<0.001; r=0.99).
Even though both formulations had the same type of time distribution (exponential), the distribution rate parameters differed in an extremely significant manner on the Kolmogorov–Smirnov test ( p < 0.001).
Based on the calculated p-values, observed differences were interpreted as significant (* p < 0.05), very significant (** p < 0.01) or extremely significant (*** p < 0.001).
As there was an extremely significant negative relationship between soil silt content and soil sand content ( r = 0.998, p < 0.001; Figure S4 ), soil silt content was excluded in all data analyses.
Among these 97 SNPs/InDels, 34 had extremely significant impacts on Rb1 contents ( p < 0.001).
Triglyceride level was also decreased at 100 and 150 mg/kg doses; which is extremely significant ( P < 0.001).
The model’s p -value was also significant ( p < 0.05) for glucose and fructose, highly significant ( p < 0.01) for firmness, total color change (ΔE), DPPH antiradical activity and total viable count (TVC), and extremely significant ( p < 0.001) for the moisture content (MC), total soluble solids (TSS) and total phenolic content (TPC).
The t -test results indicated that this difference was extremely significant (t(29) = 11.981, p < 0.001), suggesting that participants could clearly identify the anthropomorphic design features on the light sticks.
None of the blood biochemical parameters exhibited significant differences between the ZF0 and ZF1 groups compared with both the control groups ( Table S9 ). Only the cholesterol (CHOL) levels in the ZF1 group and low-density lipoprotein (LDL) levels demonstrated extremely significant differences compared with the DF1 group ( p < 0.001).
extremely significantqualified
A value of p < 0.05 was considered statistically significant, p < 0.01 was considered statistically highly significant and p < 0.001 was considered statistically extremely significant. 3.
Treatment Satisfaction Questionnaire for Medication (TSQM) On Day 11, the mean score of TSQM was 53.51 ± 4.34 and 41.96 ± 3.64 in the Acacia and placebo groups, respectively, statistically extremely significant ( p < 0.001) in the Acacia group ( Figure 3 ). 3.4.3.
Results indicated that the number of TP mutations detected by o2n-seq were extremely significant (all P <0.001, Student's t -test) more than that of Cir-seq for any CSs criteria (1 × −5 × ) ( Supplementary Fig. 4a ).
We observed that high concentrations of α -KG could reduce the PBE rate, while 100 μ M α -KG could significantly decrease the PBE rate of oocytes (S-table 1 ), and 10 and 20 μ M α -KG could significantly increase the PBE rate of oocytes (S-table 1 ), and the difference in the 20 μ M group was extremely significant (Con vs. 20 μ M: 64.7% ± 1.20% vs. 76.83% ± 1.05%, P < 0.001) ( Figure 1(b) ). 3.2.
At 24 hours, the groups had an extremely significant difference in reported pain (p<0.001).
The statistical analysis of the cerebral infarction area revealed a significant difference between the RSV10 and MCAO groups ( P = 0.0133), and an extremely significant difference between the RSV20 and MCAO groups ( P < 0.001).
In the correlation analysis, 4-pentenoic acid showed an extremely significant negative correlation with Pediococcus spp. in nettle silage ( P < 0.001).
Boosting with VLPs resulted in increased antibody titers, with final antibody titers reaching extremely significant (p< 0.001) values over the negative control mice.
For the bacteria, the interaction effect between biochar addition and time was extremely significant ( p < 0.001).
However, at 24 h after LPS challenge, the expression level of SpTLR2 in the liver was significantly increased ( p < 0.05), whereas the other three tissues were extremely significant up-regulated ( p < 0.001).
Most notably, an extremely significant difference was detected in the ENC of HemD ( p < 0.001), with a difference in average values of 9.84.
Regarding the functional and prognostic factors, there were extremely significant differences between the two subgroups for mRS at discharge ( p < 0.001), NIHSS at admission ( p < 0.001) as well as NIHSS at discharge ( p < 0.001) ( Table 5 ).
Extremely significant differences were detected ( P < 0.001).
Statistical analysis was done using the unpaired two-tailed Student’s t -test or two-way analysis of variance with Bonferroni correction as appropriate and defined as significant (*, 0.01 < p < 0.05), very significant (**, 0.001 < p < 0.01), and extremely significant (***, p < 0.001).
Significant ( p < 0.05), very significant ( p < 0.01), and extremely significant ( p < 0.001) statistical differences were observed between the GD and OMFS practitioner groups’ antibiotic prophylactic frequencies for medically compromised patients.