Table 1_The nonlinear relationship between estimated glomerular filtration rate and cardiovascular disease in US adults: a cross-sectional study from NHANES 2007–2018.docx by Ce Zhou (2257300)

“…</p>Results<p>The study revealed a significant non-linear inverse association between eGFR and CVD risk, with a threshold effect observed at 99.3 ml/min/1.73 m². …”

Table 2_An 8-week 24-form Tai Chi intervention on cognition in Chinese college students overusing short videos: a randomized controlled trial.xlsx by Yu-fan Li (22162804)

“…Post-intervention, TCG reaction times significantly decreased (p < 0.05), aligning with LCG and differing significantly from OCG. …”

Supplementary file 1_The efficacy and safety of Fuzheng traditional Chinese medicine injections in the treatment of acute ischemic stroke: a systematic review and network meta-anal... by Qiaosheng Ren (20532449)

“…The overarching hypothesis was that although TCMIs + CT as a class provides benefit over CT alone, their therapeutic profiles differ.…”

Major hyperparameters of RF-SVR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Pseudo code for coupling model execution process. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Major hyperparameters of RF-MLPR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Results of RF algorithm screening factors. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Schematic diagram of the basic principles of SVR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Table1_Adverse event profile differences between pralsetinib and selpercatinib: a real-world study based on the FDA adverse events reporting system.docx by Qiong Jie (13270095)

“…The risk of AEs such as decreased platelet count, anemia, decreased white blood cell count, pneumonitis, asthenia, and edema caused by pralsetinib is significantly higher than that of selpercatinib. …”

Image2_Adverse event profile differences between pralsetinib and selpercatinib: a real-world study based on the FDA adverse events reporting system.TIF by Qiong Jie (13270095)

“…The risk of AEs such as decreased platelet count, anemia, decreased white blood cell count, pneumonitis, asthenia, and edema caused by pralsetinib is significantly higher than that of selpercatinib. …”

Table2_Adverse event profile differences between pralsetinib and selpercatinib: a real-world study based on the FDA adverse events reporting system.docx by Qiong Jie (13270095)

“…The risk of AEs such as decreased platelet count, anemia, decreased white blood cell count, pneumonitis, asthenia, and edema caused by pralsetinib is significantly higher than that of selpercatinib. …”

Image1_Adverse event profile differences between pralsetinib and selpercatinib: a real-world study based on the FDA adverse events reporting system.TIF by Qiong Jie (13270095)

“…The risk of AEs such as decreased platelet count, anemia, decreased white blood cell count, pneumonitis, asthenia, and edema caused by pralsetinib is significantly higher than that of selpercatinib. …”

Image 1_Finite-element analysis-based design and efficacy assessment of a three-dimensional anisotropic heel cushioning pad for diabetic foot management.jpeg by Xiong-Gang Yang (22645370)

“…The data were fitted with a polynomial, and a regression equation was obtained.…”

Table 1_Finite-element analysis-based design and efficacy assessment of a three-dimensional anisotropic heel cushioning pad for diabetic foot management.docx by Xiong-Gang Yang (22645370)

“…The data were fitted with a polynomial, and a regression equation was obtained.…”

Table1_Berberine alleviates ETEC-induced intestinal inflammation and oxidative stress damage by optimizing intestinal microbial composition in a weaned piglet model.docx by Yue Wang (65477)

“…A correlation analysis showed that berberine significantly increased the relative abundance of beneficial bacteria (Gemmiger, Pediococcus, Levilactobacillus, Clostridium, Lactiplantibacillus, Weissella, Enterococcus, Blautia, and Butyricicoccus) and decreased that of pathogenic bacteria (Prevotella, Streptococcus, Parabacteroides, Flavonifractor, Alloprevotella) known to be closely related to intestinal inflammation and oxidative stress in piglets. …”

Table 1_Unpacking the cost implications of diagnosis-related groups reform for lumbar disc herniation patients in Chinese medicine: a closer look at evidence from China.xls by Meng-en Chen (22274533)

“…Objectives<p>Lumbar disc herniation (LDH) presents a significant economic burden globally, worsening in China due to an aging population. …”

Data Sheet 2_The ERF transcription factor TaERF13-2B functions as a negative regulator of drought tolerance in Arabidopsis and wheat.docx by Yang Yu (4292)

Efficacy and safety of trastuzumab deruxtecan in HER2-high and HER2-low breast cancer: a systematic review and meta-analysis of randomized controlled trials by Sheng-Yen Hsiao (9939006)

“…This meta-analysis assessed four randomized controlled trials (DESTINY-Breast02, −03, −04, and −06; 2555 patients) from PubMed, Embase, Cochrane Library, and ClinicalTrials.gov. A random-effects model revealed that T-DXd significantly improved progression-free survival (hazard ratio [HR] = 0.433; 95% confidence interval [CI]: 0.305–0.616; P < 0.001; <i>I²</i> = 90.7%) and overall survival (HR = 0.720; 95% CI: 0.636–0.816; P < 0.001; <i>I²</i> = 0%) versus control regimens, with consistent benefits across HER2 subgroups. …”

Data Sheet 1_The ERF transcription factor TaERF13-2B functions as a negative regulator of drought tolerance in Arabidopsis and wheat.docx by Yang Yu (4292)

Image2_Overexpression of vacuolar H+-pyrophosphatase from a recretohalophyte Reaumuria trigyna enhances vegetative growth and salt tolerance in transgenic Arabidopsis thaliana.tif by Ningning Li (566420)

“…Catalase enzyme activity, proline content, relative water content, and soluble sugar content were significantly increased in transgenic Arabidopsis under salt stresses, but the malondialdehyde content was dramatically decreased. …”