Barely Significant
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“extremely significant”

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At the same time, the first term A, the interaction terms AB and AC, and the second terms A 2 , B 2 , and C 2 showed extremely significant performance, while the first terms B and C also showed significant performance. 2.8.2 Interaction effects of different experimental factors on response variables Response surface images of three-dimensional surface maps consisting of the ethanol concentration (A), solid-to-liquid ratio (B) and ultrasonic power (C) illustrate the pairwise interactions between the factors [31] .
Effect of ultrasonic parameters on CA yield of ultrasound‐treated HS extract The predictive equation obtained from the results for explaining the effectiveness of the ultrasonication pretreatments of HS extracts for optimal extraction of CA with high yield was written in coded terms after exclusion of insignificant variables as: (5) CA yield mg / g = 2.44 + 0.3875 A ‐ 0.1917 C ‐ 0.1158 D ‐ 0.185 AB + 0.78 AC + 0.1225 AD + 0.21 BC + 1.7 BD ‐ 0.24 CD + 1.1 A 2 + 0.7003 B 2 + 0.3652 C 2 + 0.094 D 2 Among the linear terms: frequency (A) and temperature (C) were extremely significant factors that influenced CA yield, followed by time (D) while the effect of power density (B) was insignificant though positive (Table 2 ).
Finally, an extremely significant risk factor for thrombosis is the presence of diseases such as neoplasms, heart failure, respiratory failure, inflammatory bowel disease, nephrotic syndrome, sepsis, or a recent history of myocardial infarction or stroke.
The results showed that the A matrix based on pedigree and the G matrix and H matrix based on the genome are strongly correlated and extremely significant, indicating that the constructed molecular pedigree is more accurate than incomplete pedigree information, and the molecular pedigree can be divided into 9 families, in which the distribution of male individuals is relatively uniform, and will lay a foundation for further breeding of rational utilization of families.
Correlation analysis results show that both SELA and SELB exhibit significant positive correlations with the final SL in both the 2019 and 2021 environments: SELA showed a positive correlation trend with SPS and TSW, whereas only SELA and SPS reached extremely significant differences.
Based on the analysis of the numerical simulation data of numerous HAMs (a total of 745752 cases, including 347988 and 397764 cases in Numerical Experiment I and II, respectively), we found that a few HAMs exerted an extremely significant enhancement effect on the mechanical properties (only two cases in Numerical Experiment I exhibited more than two orders of magnitude enhancement in the Young's modulus) compared to homogeneous materials composed of a single cell (further details in Section 2.2 ).