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. …”

Mean amplitude of the Slow Delta Envelope and period of Slow Delta oscillations in the disconnected hemisphere, compared with respect to wakefulness and NREM sleep in the reference... by Michele Angelo Colombo (22446342)

Impact on different areas of health. by Margherita Molaro (17803989)

Learn!Bio study: Grouping of Participants. by Katy Andrews (22311170)

“…The Covid-19 pandemic and the consequent restriction of personal social interaction resulted in an significant decrease in the mental wellbeing of undergraduate bioscience students in this study, cumulating in poor or very poor self-rating of wellbeing in spring 2021; while at the same time students showed evidence of advanced adaption to the new learning and social environment by acquisition of additional technical, social and professional graduate-level skills. …”

Architecture of Multi-Layer U-Net Model. by Muhammad Zubair (728141)

“…<div><p>Alzheimer’s disease (AD) is a neurodegenerative illness causing a significant decrease in cognitive function, and early, accurate diagnosis is of great therapeutic and diagnostic value. …”