Correlation heatmap with significance. by Bo Dong (218172)

“…</p><p>Results</p><p>The health status of China’s migrant population is generally positive, though it is influenced by multiple factors, with varying degrees of significance. Among six distinct machine learning models, the Random Forest model demonstrated the best predictive performance. …”

High frequency noise affected by external environment (5.0 Hz), the noise level during the day is significantly higher than that at night. by Wenchao Bao (20390101)

Interpretation degree of climate and soil to network parameters. by ChengZhi Peng (21261944)

The Vancouver Scar Scale. by Na Wang (193263)

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S1 Dataset - by Na Wang (193263)

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Numerical Rating Scale (NRS). by Na Wang (193263)

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Mammary fistula (n(%)). by Na Wang (193263)

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Forest maps affecting lactation outcomes. by Na Wang (193263)

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Postoperative drainage(ml) (M(IQR)). by Na Wang (193263)

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The physical and chemical properties of root zone soil. by Jun Sun (48981)

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The soil bacterial community richness and diversity in different tea varieties root zone soil. by Jun Sun (48981)

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Relative abundance of bacteria phyla (a) and classes (b) in root zone soil of different tea varieties. by Jun Sun (48981)

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RDA and pearson correlation analysis of soil bacterial communities and soil environmental factors. by Jun Sun (48981)

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Prediction of bacterial BugBase phenotype. by Jun Sun (48981)

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KEGG enrichment map of differential metabolites (a) and differential abundance score map (b). by Jun Sun (48981)

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PCA of bacterial communities. by Jun Sun (48981)

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Alpha diversity, differential Metabolites, KEG DA score, lefse, Metabolites (all), OTUs, PCA components, RDA result.VIF and result. RDA. envfit. by Jun Sun (48981)

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Detected metabolites (a), volcano plot (b) and scatter plot (c) of differential metabolites. by Jun Sun (48981)

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Correlation of differential metabolites. by Jun Sun (48981)

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LEfSe analysis of root zone soil bacterium from different tea varieties. by Jun Sun (48981)

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