(a) Seasonal trends of non-typhoidal <i>Salmonella</i> by study sites. (b) Seasonal trends of <i>Campylobacter species</i> by study sites. (c) Seasonal trends of Shiga toxin-produc... by Amete Mihret Teshale (12072758)

Inhibitory effect of 7DHC and BM15766 in HF organoid culture. by Leemon Nikhila (22250736)

Inhibited cholesterol biosynthesis downregulates hair follicle stem cell marker genes in in vitro model system. by Leemon Nikhila (22250736)

Results of parameters a, b for curve fitting. by Hongming Li (296020)

“…The test results show that the soil expansion rate decreases from 43.7% to 37.1% with the increase of salt solution concentration. …”

7DHC and BM15766 treated mice (C57BL/6; n = 5) failed to regrow the hairs. by Leemon Nikhila (22250736)

Seed germination kinetics of M. stenopetala under the effect of different PEG concentrations. by Nadia Khater (22553166)

Principal component analyses (left) and cumulative components (right) of the studied parameters of moringa plants under drought stress conditions. by Nadia Khater (22553166)

Down -regulated expression of HFSC marker genes in PCA. by Leemon Nikhila (22250736)

GO and KEGG analysis results of PA against osteosarcoma. by Zeyu Zhan (22305085)

Potential targets and PPI networks of PA against osteosarcoma. by Zeyu Zhan (22305085)

PA triggers autophagy in osteosarcoma cells. by Zeyu Zhan (22305085)

PA-induced apoptosis in osteosarcoma cells. by Zeyu Zhan (22305085)

PA inhibits the proliferation of osteosarcoma cells. by Zeyu Zhan (22305085)

Molecular Docking Analysis of PA with its core target. by Zeyu Zhan (22305085)

The distribution of <i>Giardia duodenalis</i> assemblages in domestic and wild populations of nonhuman mammalian species with a larger number of isolates. by Kareem Hatam-Nahavandi (7384790)

Changes in ocular stress after wearing orthokeratology lenses. by Zhao-Yang Meng (18389630)

Axial length changes after one week of wearing orthokeratology lenses. by Zhao-Yang Meng (18389630)

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

“…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”

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

“…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”

Feature importance derived from SHAP analysis. by Bin Pan (742525)

“…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”