Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media by Xueyi Zhang (2019148)

“…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”

Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media by Xueyi Zhang (2019148)

“…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”

Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media by Xueyi Zhang (2019148)

“…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”

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)

Modulation of performance during learning. by Daniel Ramandi (10047543)

“…The ‘W_exp’ value shows the weight of the exponential component in each distribution. (B) A longitudinal comparison of the average exponential fit weight between WT and zQ175 mice reveals that while WT mice show a decreasing trend, indicating a shift towards longer duration (“timed”) trials, zQ175 mice maintain a consistently high exponential weight, demonstrating no significant change over time (b; RM two-way ANOVA, genotype p = 0.0106 F(1, 22) = 7.795, days p < 0.0001 F(5.262, 115.4) = 7.616, interaction p < 0.0001 F(57, 1250) = 2.834). …”

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. …”

GM Mask image count after preprocessing. 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. …”

Gray matter segmented views of the brain. 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. …”

Architecture of Multi-EfficientNet. 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. …”

Average Saliency Map Results. 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. …”

Visual comparison of Brain segmentation results. 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. …”

Original 2D MRI views of the brain. 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. …”

Original dataset composition (Raw from ADNI). 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. …”

Class-wise performance on the test set. 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. …”