Search alternatives:
significant concentration » significant concentrations (Expand Search), significant correlation (Expand Search), significant connection (Expand Search)
concentration indices » concentration index (Expand Search), concentration profiles (Expand Search), concentration time (Expand Search)
significantly linear » significant linear (Expand Search), significantly lower (Expand Search), significantly longer (Expand Search)
linear decrease » linear increase (Expand Search)
significant concentration » significant concentrations (Expand Search), significant correlation (Expand Search), significant connection (Expand Search)
concentration indices » concentration index (Expand Search), concentration profiles (Expand Search), concentration time (Expand Search)
significantly linear » significant linear (Expand Search), significantly lower (Expand Search), significantly longer (Expand Search)
linear decrease » linear increase (Expand Search)
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Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA. Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease.
Published 2025“…Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease.…”
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Composite indicators of element flows.
Published 2024“…The results showed that (1) the scale of element flow in the Lanxi urban agglomeration is in an unbalanced distribution state, the scale of element flow in Lanzhou and Xining is higher than that in surrounding cities, and the connection between surrounding cities is also higher than that between other cities; (2) the network structure of element flow in the Lanxi urban agglomeration is relatively intensive, with Lanzhou and Xining as the center of element concentration, which indicates an obvious ‘center periphery’ structure, and gradually spreads from the core area to the surrounding areas; and (3) the element concentration level of the Lanxi urban agglomeration has a significant positive spillover effect, which plays a significant role in driving the development of surrounding cities. …”
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