Barely Significant
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“extremely significant”

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Among them, p > 0.05 indicates no significant statistical difference, p < 0.05 indicates significant statistical difference, p < 0.01 indicates extremely significant statistical difference; Chi-square 1 indicates high degree of agreement, 2 indicates general agreement, 3 indicates a low degree of compliance. 4 Discussion of experimental results 4.1 Comparison of differences in general patient information According to the general data of colorectal cancer patients collected in the third part, the general conditions of each group of patients are counted, and the p -value and chi-square value of each group of patients on gender, age and disease age are calculated, and plotted as shown in Figure 1 .
The differential diagnosis of BTRBGD is often difficult especially regarding post-viral acute necrotizing encephalitis and other neurometabolic disorders (e.g., mitochondrial diseases, glutaric aciduria type I, methyl-malonic acidemia, 3-methyl-glutaconic aciduria) with similar MRI brain findings and triggering factors [12] , furthermore early molecular identification is extremely significant because early treatment with high doses of biotin and thiamine can stop further basal ganglia damage and put an end to the development of neurological symptoms [13] .
Photosynthetic Parameters Relative to Variety, Treatment Temperature and Time The three-factor variance analysis of varieties, treatment temperature and time of various photosynthetic parameters showed that the photosynthetic parameters and the three-factor interaction were extremely significant 3 days after treatment, and then the correlation gradually weakens.
6 Clopidogrel remains the most prescribed P2Y12 inhibitor world-wide due to significantly lower cost than ticagrelor and prasugrel, and therefore the impact of vulnerability to clopidogrel nonresponse is extremely significant particularly in populations with high prevalence of CYP2C19 loss-of-function variants in the context of secondary prevention after myocardial infarction.
From the resting time of the mice, compared with the control group, the model group ( P = 0.004) had extremely significant difference, which showed an increase in resting time, and there was no significant difference in other groups ( P > 0.05); Compared with the model group, the other groups had extremely significant differences ( P < 0.01), which showed an increase in resting time.
Correlation analysis showed that the economic loss of PM 2.5 -related health impacts was still significantly positively correlated with the population, GDP, population density, and gross industrial production of the region, especially the extremely significant correlation with GDP and gross industrial production.