“extremely significant”

The impact of different pulverizing scales on the dietary fiber content and composition was extremely significant.

Among them, the expression trend of 24 extremely significant DEGs (such as diablo, Tis11, myc, ARL14, BHLHE40, Tnfsf10, CYP27 B1, Nr1d2, Vegfa, GADD45 G, nfi13, junb, Irs2, ddit4, Trib1, PRELID3B, Soat1, and adrb2) in profile 7 continued to increase in AL1 to AL2.

To investigate the cause for the loss of Mist1-positive cells, comprehensive characterization of the model during the peak injury phase (6–24 h post poly (I:C)) revealed extremely significant induction of apoptotic death signals in the acinar compartment, 9hrs post injury 2 (Supplementary Fig.

High THI (80.3 ± 1.0) resulted in extremely significant increase in serum TNF-α concentration in dairy cows [ 40 ].

P values of less than 0.05 were considered significant, and P < 0.01 was considered extremely significant.

Statistical significance was defined as P -value < 0.05 is considered significant (*), and p -value < 0.0001 was considered extremely significant (****).

A difference of p < 0.05 is considered significant, while a difference of p < 0.01 is considered extremely significant. 3.

A p -value of *, # p <0.05 was considered a statistically significant difference, and **, ## p <0.01 was considered an extremely significant difference.

p < 0.05 and p < 0.01 were considered as significant differences and extremely significant differences, respectively.

A p value of < 0.05 was regarded as significant (*), and p value of less than 0.01 was considered extremely significant (**).

Considering the inconsistent requirement of particle size between blood circulation and tumor penetration, optimizing particle size to enhance tumor accumulation and facilitate penetration is extremely significant to improve drug delivery efficiency.

A P value of <0.0001 is extremely significant (****), 0.0001 to 0.001 is extremely significant (***), 0.001 to 0.01 is very significant (**), 0.01 to 0.05 is significant (*), and ≥0.05 is not significant (ns).

Based on R version 3.6.3, a correlation clustering heat map and redundancy analysis map were drawn ( p < 0.05 indicated significant correlation, p < 0.01 indicated extremely significant correlation).

Final evaluation training group: Scores of 0–6 are in the non-significant group, with a success rate of decline of 21.35%; scores of 7–9 are in the moderate group, with a success rate of decline of 26.47%; scores of 10–14 are in the significant group, with a success rate of decline of 67.55%; scores of 15–24 are in the extremely significant group, with a success rate of decline of 95.35%.

The correlation between δ 13 C values during the three determination periods at the grain-filling stages with grain yield and WUE reached an extremely significant level, and different water conditions had no effect on the correlation between the δ 13 C values with grain yield and WUE , which is consistent with a large number of previous studies ( Wright, Rao & Farquhar, 1994 ; Condon, Richards & Rebetzke, 2004 ).

P values were determined, and P < 0.05 was considered significant (*), P < 0.01 very significant (**), and P < 0.001 extremely significant (***).

In addition, the educational level (the fourth aim of this study) was an extremely significant variable as subjects with a lower educational level demonstrated higher levels of anxiety and fear associated with COVID-19 compared with subjects with a higher educational level.

Compared with the control group, * P < 0.05 meant significant difference and ** P < 0.01 meant extremely significant difference.

From the figure, it can be seen that the P values of the model, B , and AC are all less than 0.01, indicating that the difference is extremely significant, and thus the selected model is meaningful.

The model is extremely significant.

The results were presented as “mean ± standard error (X ± SEM)” with p < 0.05 indicating a significant difference and p < 0.01 indicating an extremely significant difference. 3.

Correlation significance P -values below 0.05 and 0.01 were regarded as significant and extremely significant correlations, respectively. 2.6 Statistical analysis Data statistics were performed by SPSS Statistics (version 22, IBM, New York, USA).

Differences at p < 0.05 and p < 0.01 were considered significant and extremely significant, respectively.

At the 6 th month interval, the response was found to be increased up to 69.9 and 48.02% mothers answered the questions correctly in the intervention and controlgroups, respectively, which was found to have statistical significance ( P = 0.02).[ Table 1 , Figure X ] Additionally, on collectively assessing the pretest and post-intervention test questionnaire items individually, statistically significant to extremely significant improvement in percentage responses was there in the mother’s knowledge regarding their child oral health and hygiene [ Table 2 and Figure Y ].

Discussion Intergroup discrepancies in both BW and BCS were not observed on Day 0, while the H-PRBWC group displayed both extremely significant higher BW and BCS on Day 21 ( Table 1 ), possibly indicating a minor postpartal NEB and a better energy status at the end of the postpartum in cows with a relatively higher PRBWC.