Time series comparing trends at HSJ and control hospitals in the pre-intervention and intervention period. Significance test determine if trends differ between groups. by Eva Rydahl (6260771)

Subjects:

Architecture of Swin-T model. by 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. by 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. by 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. by 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. by 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. by 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. by 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. …”

Reducing Dscam1 diversity decreases adult lifespan in an exon-specific manner, Related to Fig 3. by Haiyang Dong (4783608)

Modeling the relationship between cancer level in hemolymph and MarBTN in tank eDNA. by Rachael M. Giersch (22331947)

Table 1_Sex-specific association between body mass index and cerebral microbleed progression in adults aged 50–85 years.docx by Cindy W. Yoon (10146428)

“…In women, each 1 kg/m² increase in BMI was significantly associated with a decrease in the 2-year change in the number of total CMBs after adjustment for age and baseline CMB count [β = −0.120, 95% confidence interval (CI): −0.202 to −0.037, p = 0.005]. …”

Loss of <i>Rab23</i> decreases ciliation in MEFs and Tbr1 + intermediate progenitors. by Wan Ying Leong (22075947)

Genetic evidence linking gastroesophageal reflux disease to chronic kidney disease and kidney failure: a two-step Mendelian randomization study by Fanghong Zheng (8931326)

“…Interventions with these factors could significantly decrease the burden of CKD attributable to GERD.…”

Flow diagram illustrating the sequence of procedures executed during one time step defined as tick, each of which represents one week. by Alexandra M. Campbell (3284094)

Myeloid knockout <i>VANGL2</i> exacerbates the progression of DSS-induced colitis in mice. by Huaji Jiang (16907514)

Increased NFKB2⁺ cells and decreased ACADM⁺ and ANGPTL4⁺ cells were observed in KIRC tissues. by Yu Zhang (12946)

Subjects:

Table 2_Expression and prognostic significance of the m6A RNA methylation regulator HNRNPC in HNSCC.docx by Yulin Zhang (510822)

“…Knockdown of HNRNPC in the HNSCC cell lines HSC-3 and CAL-27 resulted in a significant decrease in proliferation, invasion, and malignant transformation abilities. …”

Table 1_Expression and prognostic significance of the m6A RNA methylation regulator HNRNPC in HNSCC.docx by Yulin Zhang (510822)

“…Knockdown of HNRNPC in the HNSCC cell lines HSC-3 and CAL-27 resulted in a significant decrease in proliferation, invasion, and malignant transformation abilities. …”

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

Data Sheet 1_Ultra-small curcumin-ruthenium coordination polymer nanodots prevent renal ischemia-reperfusion injury and the progression to chronic kidney disease.docx by Xian Liu (191882)

“…The results indicated that Ru/Cur nanodots effectively eliminated various ROS and demonstrated significant therapeutic effects and biocompatibility in IR-AKI mice, reducing markers of kidney function damage, alleviating renal oxidative stress, and decreasing inflammatory cell infiltration. …”