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

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

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

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

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

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

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

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

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

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

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

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

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

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

Data Sheet 1_Individual alpha frequency tACS reduces static functional connectivity across the default mode network.docx حسب Martín Carrasco-Gómez (16836738)

"…</p>Results<p>IAF-tACS significantly decreased sFC in intra- and inter-DMN links in the stimulation group compared to the sham group, with a special influence over antero-posterior links between hubs of the DMN. …"

Supplementary file 1_The role of oxidative balance lifestyle factors in reducing female infertility risk: insights from a population-based study.docx حسب Ping Xia (220386)

Individual data. حسب JoEllen M. Sefton (16880253)

"…Total kcals did not differ between conditions (with/without exoskeleton; t = 0.98; p = 0.357). Kcals/min were significantly lower (1.06 kcals/min) with the exoskeleton (t = 3.94; p = 0.004). …"

Descriptive statistics. حسب JoEllen M. Sefton (16880253)

"…Total kcals did not differ between conditions (with/without exoskeleton; t = 0.98; p = 0.357). Kcals/min were significantly lower (1.06 kcals/min) with the exoskeleton (t = 3.94; p = 0.004). …"

Time matched metabolic cost. حسب JoEllen M. Sefton (16880253)

"…Total kcals did not differ between conditions (with/without exoskeleton; t = 0.98; p = 0.357). Kcals/min were significantly lower (1.06 kcals/min) with the exoskeleton (t = 3.94; p = 0.004). …"

Research design. حسب JoEllen M. Sefton (16880253)

"…Total kcals did not differ between conditions (with/without exoskeleton; t = 0.98; p = 0.357). Kcals/min were significantly lower (1.06 kcals/min) with the exoskeleton (t = 3.94; p = 0.004). …"

Time matched physiological strain. حسب JoEllen M. Sefton (16880253)

"…Total kcals did not differ between conditions (with/without exoskeleton; t = 0.98; p = 0.357). Kcals/min were significantly lower (1.06 kcals/min) with the exoskeleton (t = 3.94; p = 0.004). …"

Physiological strain. حسب JoEllen M. Sefton (16880253)

"…Total kcals did not differ between conditions (with/without exoskeleton; t = 0.98; p = 0.357). Kcals/min were significantly lower (1.06 kcals/min) with the exoskeleton (t = 3.94; p = 0.004). …"

Diagram of exercise intervention progression. حسب JoEllen M. Sefton (16880253)

"…Total kcals did not differ between conditions (with/without exoskeleton; t = 0.98; p = 0.357). Kcals/min were significantly lower (1.06 kcals/min) with the exoskeleton (t = 3.94; p = 0.004). …"

Perceived exertion. حسب JoEllen M. Sefton (16880253)

"…Total kcals did not differ between conditions (with/without exoskeleton; t = 0.98; p = 0.357). Kcals/min were significantly lower (1.06 kcals/min) with the exoskeleton (t = 3.94; p = 0.004). …"

Metabolic cost. حسب JoEllen M. Sefton (16880253)

"…Total kcals did not differ between conditions (with/without exoskeleton; t = 0.98; p = 0.357). Kcals/min were significantly lower (1.06 kcals/min) with the exoskeleton (t = 3.94; p = 0.004). …"

PERCOM, an unbiased and easily-accessible protein-centric analysis workflow. حسب Brian Foo (19273132)

Regional work heterogeneity in LBBB differs between responders and non-responders, but LV stroke work, myocardial work, and efficiency do not. حسب Amanda Craine (19832365)