The RSD results were obtained for different proportions of the extraction solvent/tissue (each proportion was prepared in triplicate repetition, n = 3). حسب Ewa Paszkowska (21246702)

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The influence of the controlled pH conditions at the sample preparation step on the obtained signals (panel A: extraction using a mixture of MeOH and EtOH; panel B: extraction usin... حسب Ewa Paszkowska (21246702)

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Chromatograms proved the selectivity of the proposed method. Red line: tissue spiked at the LOQ level; green line: blank tissue. Panel A: SIM and SIMA; panel B: LOV and LOVA. حسب Ewa Paszkowska (21246702)

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Amphiphilic Photoluminescent Porous Silicon Nanoparticles as Effective Agents for Ultrasound-Amplified Cancer Therapy حسب Maxim B. Gongalsky (6527933)

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

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

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

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

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PCA of bacterial communities. حسب 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. حسب Jun Sun (48981)

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

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

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OUT Venn diagram. حسب Jun Sun (48981)

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Synthetic feasibility scores of 20 molecular fragments. حسب Bin Pan (742525)

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The scatter plot of the target variable solubility dataset. حسب Bin Pan (742525)

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Samples with the highest solubility after high-throughput screening. حسب Bin Pan (742525)

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Assessment values of machine learning models. حسب Bin Pan (742525)

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List of datasets in AqSolDB. حسب Bin Pan (742525)

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Schematic workflow diagram of the StackBoost model framework. حسب Bin Pan (742525)

الموضوعات:

Comparison of training and predicted values of compound water solubility for different machine learning models: (A) AdaBoost, (B) GBDT, (C) LGBM, (D) RF, (E) XGBoost, (F) RF, and (... حسب Bin Pan (742525)

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