“extremely significant”

Registered data represented the mean values and standard deviations (SDs) of three experiments (ns = not significant, p ≥ 0.05, ∗ = significant, p -value 0.01–0.05, ∗∗ = very significant, p -value 0.001–0.01, and ∗∗∗ = extremely significant, p < 0.001). 4.

The results were interpreted as follows - Insignificant: P > 0.05, Significant: P < 0.05, Highly significant: P < 0.01, Extremely significant: P < 0.001 Observations A total of 33 patients with signs and symptoms of Amlapitta were registered.

The EE of RJ-III@HACC-SLNs did not significantly decrease ( P > 0.05), that RJ-III@SLNs had an extremely significant decrease ( P < 0.001), during 3 h incubated in SGF.

The results are reported as nonsignificant (ns) at P > 0.05, significant (*) at 0.01 ≤ P < 0.05, very significant (**) at 0.001 ≤ P < 0.01, and extremely significant (***) at P < 0.001.

On the other hand, extremely significant ( p < 0.001) and high R 2 values were recorded when evaluating the behaviour of DPPH • (0.9572), ABTS •+ (0.9376), and CUPRAC (0.9564).

The results showed that a polydrug-dependence model was successfully established with an extremely significant difference compared to the baseline ( P < 0.001).

Statistics GraphPad (version 5) was used to calculate unpaired and paired p values: ***, extremely significant, p < 0.001; **, very significant, p = 0.001-0.01; *, significant, p = 0.01-0.05; and ns , p > 0.05.

The significance test analysis of the regression equation showed that the model was extremely significant ( p < 0.001), and the missing items were not significant ( p = 0.159 > 0.05).

ns indicates not significant (p>0.05); ** indicates very significant (p-value 0.001 to 0.01); *** indicates extremely significant (p<0.001).

The differences in abundance among Bacteroidetes, Firmicutes, Chloroflexi, Gemmatimonadetes, Proteobacteria, Actinobacteria, and Acidobacteria were extremely significant ( P < 0.001) at the phylum level ( Figure 2F ), while at the genus level, the abundance differences among Pseudomonas , Ralstonia , Lechevalieria , Rhodanobacter , Rhodococcus , Bacillus , and Flavobacterium were extremely significant ( P < 0.001).

A P -value > 0.05 was considered not significant, P < 0.05 was deemed significant, P < 0.01 was considered highly significant, and P < 0.001 was considered extremely significant.

In the patients grouped by hypertension, atrial fibrillation, and chronic kidney disease, we observed extremely significant differences in mean age ( p < 0.001).

Consistently, there was an extremely significant increase in HbA1c% on comparing both T2DM+ATHR and T2DM-ATHR diabetic groups to the control group (P<0.001 and P<0.01 respectively).

Differences were considered not significant at P > 0.05, statistically significant at P < 0.05, very significant at P < 0.01, and extremely significant at P < 0.001.

P -value < 0.05 is considered statistically significant, P -value < 0.01 is highly significant, P -value < 0.001 is extremely significant.

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.

According to the result, the d S values showed an extremely significant correlation with the d N values ( R 2 = 0.8081, p < .001) (File S2 : Figure S3 ).

Regarding the treatment, E2-induced reduction in infarct volume was extremely significant in the cortical region ( p < 0.001) and, to a smaller extent, in the subcortical region ( p < 0.05). 2.2.

The apoptosis rate in the serum-free group was significantly higher than that in the normal control group and the difference was extremely significant (P<0.001).

It was further differentiated between extremely significant (***, p < 0.001), very significant (**, p = 0.001 to 0.01) and significant (*, p = 0.01 to 0.05) results.

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).

Analysis of the correlation between the genetic distance and geographical distance of latitude, showed an extremely significant correlation and the fitting degree was relatively high (R 2 = 0.1867, P = 0.001, Fig. 3 ).

For a unilateral arch implant and the mandible models with two implants, no significant difference was observed in the accuracy between the digital and conventional implant impressions on scan bodies; however, the corresponding differences for trans-arch implants and mandible with six implants were extremely significant ( P <.001).

Two-sided p values less than 0.001 were regarded as statistically extremely significant (*** p < 0.001).

A very good separation was provided by the hybrid biomarker between the two lesion types that was found to be statistically extremely significant (p < 0.001).