Changes in symptoms of insomnia and excessive daytime sleepiness during the COVID-19 pandemic by age. by Hea Ree Park (10769827)

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Effect of Bcl-xL on proteins involved in the apoptotic pathway of MDCK cells. by Jiahao Zheng (807470)

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Effect of Bcl-xl on the tumorigenicity of MDCK cells in nude mice. by Jiahao Zheng (807470)

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Changes in sleep patterns before versus during the COVID-19 pandemic by age. by Hea Ree Park (10769827)

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Sociodemographic characteristics. by Hea Ree Park (10769827)

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Changes in sleep habits and sleep-related symptoms. by Hea Ree Park (10769827)

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Analysis and comparison of transcriptome data between WT and BY-02 cells. by Jiahao Zheng (807470)

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Regression analysis of sleep habits and sleep-related symptoms associated with pandemic status. by Hea Ree Park (10769827)

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The targeting strategies, qRT-PCR, and western bolt to verify BY-02 cells. by Jiahao Zheng (807470)

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Study flow chart. by Hea Ree Park (10769827)

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Differences in growth, metabolism and migration of BY-02 cells compared with WT cells. by Jiahao Zheng (807470)

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Transcriptome analysis. by Jiahao Zheng (807470)

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Basic clinical data and biochemical parameters of the study groups according to phosphorus baseline. by Yujie Jiang (2991267)

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Comparative analysis of hospital information recognition metrics between intervention and control groups across six hospitals. by Chao Song (379006)

“…<p>Panel A displays Total Recognition Rate (TRR), B shows Cross-Hospital Recognition Rate (CHRR), C presents Access Rate (AR), and D illustrates Cross-Hospital Access Rate (CHAR). Individual data points represent hospital-specific values (warm colors: intervention hospitals A, C, F; cool colors: control hospitals B, D, E), dashed horizontal lines indicate group medians with percentage values labeled, vertical lines show full data ranges, and statistical summaries below each panel report Cohen’s d effect sizes with 90% confidence intervals (derived from 5000 bootstrap resamples) alongside clinical significance classifications based on magnitude-based inference thresholds (trivial: |d| < 0.2; small: 0.2 ≤ |d| < 0.5; moderate: 0.5 ≤ |d| < 0.8; large: |d| ≥ 0.8), where beneficial effects indicate >75% probability of exceeding the minimal clinically important difference threshold (d = 0.2).…”

Between-group differences in sociodemographic and general clinical information, grouped by MetS. by Yilin Fang (3817567)

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Impact of clinical variables. by Hajin Jeon (21417202)

“…However, tumor-only samples are far more common in clinical practice because of the difficulty in obtaining normal tissues, making developing robust methods for analyzing tumor-only data a pressing need. …”

Descriptive data for the pBT-child dyads. by Madalina Ciobanu (2504683)

“…<div><p>Autism spectrum disorder (ASD) is a condition with growing prevalence that results in significant healthcare spending, reduced parent income, high levels of family stress, and decreased quality of life (QoL). …”

Raw data. by Liwen Shen (8668680)

Clinical significance of <i>HAR1A</i>, <i>HAR1B</i> and <i>REST</i> in paediatric gliomas. by Ella Waters (4259986)

Table 1_Expression patterns and clinical significance of vasculogenic mimicry-related genes in patients with head and neck squamous cell carcinoma.docx by Rui Lai (1615339)