qRT-PCR results of differentially expressed miRNAs in rats’ myocardial tissue after training. حسب Zhaowen Tan (12283502)

الموضوعات:

Volcano plot and clustering of differentially expressed miRNAs. حسب Zhaowen Tan (12283502)

الموضوعات:

Summary of miRNAs sequencing data quality. حسب Zhaowen Tan (12283502)

الموضوعات:

Differential expression of miRNAs in SHR-SED group and BFRT group (all miRNAs). حسب Zhaowen Tan (12283502)

الموضوعات:

Histogram of the GO functional enrichment of differential miRNA target genes. حسب Zhaowen Tan (12283502)

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The miRNA target genes. حسب Zhaowen Tan (12283502)

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Changes in SHR body weight, hemodynamics and cardiac function before and after training. حسب Zhaowen Tan (12283502)

الموضوعات:

Table of miRNA comparisons with reference genomes. حسب Zhaowen Tan (12283502)

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Prevaelnce of different pathogens by location. حسب Amete Mihret Teshale (12072758)

الموضوعات:

Statistical association (P < 0.10) between background factors and dog owners’ attitude (AT), subjective norms (SN) and perceived behavioral control (PBC) that were significantly as... حسب Fentahun Mengie (20862454)

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Descriptive statistics of the sample. حسب Alex Bawuah (21702688)

"…The lack of birthweight data is a significant challenge in monitoring the global prevalence of extreme birthweight, either low or high, and newborn health. …"

Sample size characteristics. حسب Alex Bawuah (21702688)

"…The lack of birthweight data is a significant challenge in monitoring the global prevalence of extreme birthweight, either low or high, and newborn health. …"

Data used for the Study. حسب Alex Bawuah (21702688)

"…The lack of birthweight data is a significant challenge in monitoring the global prevalence of extreme birthweight, either low or high, and newborn health. …"

Split structural models for belief. حسب Abigail A. Lee (19935335)

"…More conservative political views and higher income correlated with decreased hesitancy. No other latent variables or covariates had a significant effect on vaccine hesitancy. …"

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. …"