Effects of LTS on C_i. by Lifeng Guo (17320116)

Supporting information_raw dataset. by Nusrat Jahan Mumu (22305359)

“…While HR enhanced most soil P fractions, higher N rates (>N100) tended to decrease labile-Pi (inorganic) fractions by up to 45% suggesting a potential decline in plant-available P. …”

Soil phosphorus fractionations procedure [41]. by Nusrat Jahan Mumu (22305359)

“…While HR enhanced most soil P fractions, higher N rates (>N100) tended to decrease labile-Pi (inorganic) fractions by up to 45% suggesting a potential decline in plant-available P. …”

Effects of LTS on H₂O₂. by Lifeng Guo (17320116)

The hourly temperatures in the phytotron. by Lifeng Guo (17320116)

“…The net photosynthetic rate (P_n) decreased the most at the booting stage, followed by the tillering, and the heading stages. …”

Key significant pathways in the final models of self-compassion. by Eriko Takahashi (22608061)

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Metabolome data of the discovery cohort. by Feng Gao (3548)

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The orthogonal projection to latent structure discriminant analysis (OPLS-DA) analysis of the three groups (OC vs HC, OC vs RC and RC vs HC) of the discovery cohort. by Feng Gao (3548)

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S9 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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S3 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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Clinical characteristics of COVID-19 cases and healthy controls in the discovery cohort. by Feng Gao (3548)

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S7 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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S2 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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Relative intensities of differential metabolites that may serve as potential metabolic biomarkers in Omicron variant cases. by Feng Gao (3548)

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S4 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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S6 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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S5 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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ROC curve analysis for the predictive power of biomarkers for distinguishing between patients with Omicron variant and healthy controls. by Feng Gao (3548)

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Analysis of the correlation between pharyngeal microbiomics, metabolomics and clinical indicators between OC and HC. by Feng Gao (3548)

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Metabolome KEGG enrichment analysis of serum in Omicron variant cases and recovered cases. by Feng Gao (3548)

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