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“showed a trend”

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The identified differentially expressed genes (DEGs) indicated that there were large differences in POD-related genes and gibberellin metabolism between B116 and B144 after stress; RT-PCR quantification also showed a trend consistent with RNA-seq, which may be an important reason for the differences in compensatory growth ability. rice genotype combined low temperature and weak light stress compensatory growth antioxidant enzymes nitrogen metabolizing enzymes endogenous hormones transcriptome Academic and technical l
Analysis of the Relationship between Dietary Patterns and High Blood Glucose by Multivariate Logistic Regression Table 2 shows the association between dietary pattern and high blood glucose in Jiangsu adults by using multivariate logistic regression modelling; the results suggest that the high intake of modern dietary patterns increased adults’ risk of high blood glucose (composed of Q1, Q3~Q4 OR = 1.566 and 1.561, 95% CI: 1.063~2.308 and 1.025~2.379, respectively, p < 0.05) and showed a trend toward elevation with increasing intake ( P trend < 0.05).
With the increase of the emulsifier content, all three action energies showed a trend of first increasing and then decreasing, i.e., the stability of biomass asphalt/water emulsion would become stable at the beginning due to the reduction of interfacial tension by the emulsifier, but when the amount of emulsifier further increased beyond the so-called critical micelle concentration, the whole system would become unstable.
By calculating the recovery rate, analysis of the recovery rate of the target substance showed a trend of first increasing, then decreasing, and the best effect was achieved when the concentration was 0.35 g·mL −1 .
Spatial clusters of DF, influenza, and HFMD epidemics Number of significant clusters of DF, influenza, and HFMD epidemics The numbers of significant clusters of three common infectious diseases from 2013 to 2015 in mainland China were listed in Table 1 : the number of HFMD significant clusters is the most, while the least number of significant clusters is DF; the minimum number of significant clusters of DF and HFMD both appeared in 2014, and the number of clusters showed a trend of decreasing firstly and then increasing during the 3 years, while the number of significant clusters of influenza was relatively stable; the minimum number of significant clusters was DF which has only one cluster in 2014, and the maximum number was HFMD in 2015.