PVS ratio comparisons across different variables using box plots with statistical comparison annotations for TP(a), DOSE(b), Shunt(c), Anesthesia(d), and Sex(e). by Ruitian Song (11045127)

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PVS_volume changes, ΔPVS_volumes, for various radiation doses within each treatment period: 0M–3M(a), 3M–12M(b), and 12M–FollowUp(c). by Ruitian Song (11045127)

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Univariate and Multivariate analysis of risk factors for nerve injury 90-days after TKA. by Rahul H. Jayaram (21463899)

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The dataset for the paired model. by Ruitian Song (11045127)

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Patient enrollment and inclusion information. by Ruitian Song (11045127)

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Changes of PVS ratios and volumes for different treatment periods and different dose levels (HD: high dose, SD: standard dose, and RD: reduced dose). by Ruitian Song (11045127)

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The dataset for the full model analysis. by Ruitian Song (11045127)

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Table 1_The development of the neurosurgery workforce in Austria over the past quarter century: is more always better?.xlsx by Mario Mischkulnig (11659318)

Architecture of Swin-T model. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …”

Model the experimental results curve. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …”

Results of comparison experiments. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …”

Architecture of Swin Transformer Block. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …”

Disease distribution map of the GZDL-BD. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …”

Token merging module. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …”

Comparative results of the ablation experiments. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …”

Optical microscopic image of B₄C/Fly Ash reinforced hybrid AMCs. by Charles Sarala Rubi (21608723)

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Experimental Results of SWR and COF (LM6/ B₄C/ Fly Ash). by Charles Sarala Rubi (21608723)

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Variations in the prevalence of OASI in France between 2010 and 2021 according to the classification for episiotomy practices. by Raphaele Houlbracq (20558509)

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Trends in the characteristics of women giving birth vaginally in France between 2010 and 2021. by Raphaele Houlbracq (20558509)

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Variations in the prevalence of episiotomy in France between 2010 and 2021 according to the classification for episiotomy practices. by Raphaele Houlbracq (20558509)

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