“extremely significant”

An extremely significant correlation was computed between Caprini score and number of risk factors with Pearson correlation coefficient of 0.849.

* p < 0.05 indicates a statistically significant difference, and ** p < 0.01 indicates an extremely significant difference. 5.

Values of p less than 0.05 and 0.01 indicate a significant difference and an extremely significant difference, respectively.

The extremely significant elevation of TGF-β levels among our steatosis participants can represent a spectrum of patients who already have steatohepatitis and could not be diagnosed by the impossibility of performing liver biopsy.

* P < 0.05 indicated the significant difference, and ⁎⁎ P < 0.01 indicated the extremely significant difference.

The data were expressed as mean ± standard deviation (SD) and SPSS 17.0 (Chicago, IL, USA) was used for one-way ANOVA, where P < 0.05 and P < 0.01, respectively, indicated significant and extremely significant difference.

An extremely significant positive correlation existed between the total chlorophyll content, carotenoids, and F o , F m , and F v .

p < 0.05 indicated that the difference was statistically significant, and p < 0.01 was considered extremely significant. 3 Results and discussion 3.1 Preparation and characterization of SFMA/rhCol17MA/HL@F(SC/F) hydrogel The FTIR analysis of HA, DOPE, and HA-DOPE is shown in Fig.

Statistical significance was evaluated by Student's t -test; P < 0.05 was considered as significant; P < 0.01 was considered as statistically extremely significant.

Finally, the implications of process operating circumstances, in order to attain uniform dispersion, efficient melting-processing, controlled-temperature, and agitation rates or stirring-speed during manufacturing are extremely significant.

The enrichment in coiled coil-containing proteins is extremely significant among HTT-interactors (89 contain them, p -value 3.48 × 10 −12 ).

A t -test (two-tailed test) was used in the correlation analysis ( p > 0.05 means no significant difference; 0.01 < p < 0.05 means significant difference; p < 0.01 indicates extremely significant difference).

P<0.05 was considered statistically significant, and P<0.01 was considered extremely significant.

P < 0.05 was considered to be a significant difference, and P < 0.01 and P < 0.001 were considered to be extremely significant difference.

It is also crucial to differentiate between types of stress, regardless of whether they are classified as high or low because even a 10% stress level can be extremely significant in the context of skin and hair.

Table 3 shows the direct effects and that the explained variance between the constructs is extremely significant for most of the constructs [ 53 ].

SPSS software independent sample T -test was used for statistical analysis, with P < 0.05 indicating significant differences and P < 0.01 indicating extremely significant differences.

Results were represented as the mean with standard error of mean (SEM) in the tables and the mean with standard error (SE) in the figures, while p < 0.05 and p < 0.01 values were considered statistically and extremely significant, respectively.

Mean ± Standard deviation, values followed by different letters in the same column mean significant difference at 0.05 level between treatments, ** indicates a extremely significant level of 1%.

Thirty-five percent of responses from nephrologists without a history of genetic test use ranked perceived barriers as “extremely significant” compared with 23% of responses from those who had previously used genetic tests.

P < 0.05, 0.01, and 0.001 were regarded as significant, very significant, and extremely significant, respectively, from the control conditions.

P values between 0.01‒0.05, 0.001‒0.01, 0.0001‒0.001, and < 0.0001 were considered statistically significant (*), very significant (**), extremely significant (***), and super significant (****), respectively, and “ns” represents no significance.

p < 0.05 was considered significant difference, p < 0.01 was considered extremely significant difference.

Results in Figure 1(a) show that colistin with concentration from 4 × 10 4 U/mL to 2 × 10 5 U/mL all causes extremely significant decrease of the cell survival.

It indicates that those are extremely significant, which means that the selection of cluster variables is sound, valid, and effective.