Analysis of tea output value distribution and growth- decrease rate of provinces. by Kun Qin (177235)

Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

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Side angle tea picking. by Chunhua Yang (346871)

“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”

The top 10 putative metabolites with the largest negative fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

The top 10 putative metabolites with the largest positive fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

The soil bacterial community richness and diversity in different tea varieties root zone soil. 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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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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The physical and chemical properties of root zone soil. 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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OUT Venn diagram. by Jun Sun (48981)

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Table 1_Biochar-based fertilizer increases soil nutrients and enhances tea quality: a metabolomics-based analysis.docx by Zhenyu Yang (427524)

“…Notably, BF2 applied for 2 years significantly increased the content of free amino acids, total flavonoids, soluble sugar, while reduced the phenol-ammonia ratio (p < 0.05), thereby improving tea quality. Further metabolomics analysis revealed that BF2 treatment significantly elevated the levels of amino acids, including theanine, threonine, proline, valine, and glutamic acid, while decreasing catechins including C, EC, and EGCG, thus leading to reduced bitterness and astringency and enhanced freshness. …”

Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

Training loss variation of GNN-FTuckER on the TeaPle dataset. by Jun Li (6494)

“…<p>Note: The training loss of the GNN-FTuckER model on the TeaPle dataset decreases gradually with the number of training epochs, indicating model convergence.…”