“extremely significant”

p < 0.05 is the significant difference, and p < 0.01 is the extremely significant difference standard.

The effect of controlled RNA turnover on gene expression can be extremely significant: for example, some studies have shown that 40–50% of changes in gene expression occur at the level of RNA stability ( 1 ).

Statistical analysis Statistical significance between different strains or groups was evaluated using a t -test; 0.01 < p < 0.05 was considered statistically significant, and p < 0.01 was considered extremely significant.

Data were expressed as the mean ± SE (standard error), and p -values < 0.05 or <0.01 were considered to be significant and extremely significant differences, respectively.

The p -value of this model is lower than 0.0001, indicating that the polynomial quadratic equation constructed by this model is extremely significant.

Using the two-tailed test, a p −Value of 0.05 to 0.01 was defined as statistically significant, a p −Value of 0.01 to 0.001 was defined as statistically very significant, and a p −Value < 0.001 was defined as statistically extremely significant.

This indicates that there is a category imbalance in our data, meaning an extremely significant difference in the sample size between the different categories 23 .

The study [ 4 ] employed randomized PCA to find principal components that contained 99% of the variance along a spectral dimension and achieved extremely significant accuracy with a deep CNN.

According to the fitting results, the significance level values of all variables, P, are less than 0.001, indicating that the regression is extremely significant; the adjusted R 2 values of all variables are above 0.8, and as per general conventions, the closer the R 2 value to 1, the better the fit.

Statistical significance was considered at a probability of p < 0.05; meanwhile, extremely significant was defined as p < 0.01. 3.

From these standpoints, promoting the study of these mechanisms is extremely significant in our increasingly aging society.

The table uses asterisks to denote significance: * indicates a significant difference at the 0.05 level, and ** indicates an extremely significant difference at the 0.01 level.

P value < 0.05 was regarded as significant, and P value < 0.01 was regarded as extremely significant. 3.

The effects of solid–liquid lipid ratio and lipid concentration on PDI were extremely significant.

Most pharmacist interventions were classified as “very significant” (67.6%, n=25), followed by those classified as “significant” (24.3%, n=9) and “extremely significant” (5.4%, n=2).

There were multiple groups of significant or extremely significant positive correlations between polyphenol components and antioxidant activity.

F b exhibited a significant decrease (SD) and an extremely significant decrease (ESD), accounting for 14.77% and 11.61% of the MP grassland, respectively ( Figure 3 b).

The results showed that a daily combined sanitation induced a rapid and extremely significant decrease in Staphylococcus spp. load on treated surfaces, up to 97% more than PCHS alone [ 92 ].

The level of significance was set at p -value ≤ 0.05 considered significant (*), p -value ≤ 0.01 considered very significant (**), p -value ≤ 0.001 (***)–0.0001 (****) considered extremely significant, and ns considered not significant. 3.

A P -value <0.001 was considered extremely significant.

According to our study, the ratio of the nephron and recipient’s metabolism demands had an extremely significant linear correlation with the early renal function in transplant recipients.

The level of statistical significance was highlighted with asterisks in the figures as follows: P > 0.05, not significant; P < 0.05 ( * ) was considered statistically significant; P < 0.01 ( ** ) was considered very significant; and P < 0.001 ( *** ), extremely significant.

A probability ( P ) value less than 0.05 and 0.01 is considered statistically significant and extremely significant respectively.

The two-sided P -value is <0.0001, considered extremely significant.

After Duncan multi-range test, p < 0.05 means there were significant differences among the samples, p < 0.01 means there were extremely significant differences among the samples. 5.