Infection of humanized mice resulted in decrease in pathogenicity in HTLV-1-CTCF infected mice. by Ancy Joseph (5634794)

Detecting neural spikes by thresholding. by Ariel Burman (20329776)

GRADE judgements. by Da Huang (1306407)

“…In terms of single exercise duration, exercise lasting longer than 60 minutes (MD = 6.32, 95% CI: 4.49–6.16, P < 0.001) is more effective than exercise lasting less than 60 minutes. …”

Basic characteristics of the included studies. by Da Huang (1306407)

“…In terms of single exercise duration, exercise lasting longer than 60 minutes (MD = 6.32, 95% CI: 4.49–6.16, P < 0.001) is more effective than exercise lasting less than 60 minutes. …”

The data of meta-analysis. by Da Huang (1306407)

“…In terms of single exercise duration, exercise lasting longer than 60 minutes (MD = 6.32, 95% CI: 4.49–6.16, P < 0.001) is more effective than exercise lasting less than 60 minutes. …”

Risk of bias. by Da Huang (1306407)

“…In terms of single exercise duration, exercise lasting longer than 60 minutes (MD = 6.32, 95% CI: 4.49–6.16, P < 0.001) is more effective than exercise lasting less than 60 minutes. …”

Overall risk of bias assessment. by Da Huang (1306407)

“…In terms of single exercise duration, exercise lasting longer than 60 minutes (MD = 6.32, 95% CI: 4.49–6.16, P < 0.001) is more effective than exercise lasting less than 60 minutes. …”

Funnel plot of VO_2Peak inclusion studies. by Da Huang (1306407)

“…In terms of single exercise duration, exercise lasting longer than 60 minutes (MD = 6.32, 95% CI: 4.49–6.16, P < 0.001) is more effective than exercise lasting less than 60 minutes. …”

Analysis of subgroups. by Da Huang (1306407)

“…In terms of single exercise duration, exercise lasting longer than 60 minutes (MD = 6.32, 95% CI: 4.49–6.16, P < 0.001) is more effective than exercise lasting less than 60 minutes. …”

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. …”

Raw data_clean. by Carlos Sepúlveda (15272797)

“…Conversely, being overweight or obese is associated with lower CRF, which can lead to decreased daily energy expenditure and reduced physical activity. …”

Experimental design. by Carlos Sepúlveda (15272797)

“…Conversely, being overweight or obese is associated with lower CRF, which can lead to decreased daily energy expenditure and reduced physical activity. …”

Characterization of the participants. by Carlos Sepúlveda (15272797)

“…Conversely, being overweight or obese is associated with lower CRF, which can lead to decreased daily energy expenditure and reduced physical activity. …”

Blood chemistry test results. by Maria A. Colombatti Olivieri (21362615)

Urinalysis (A-F) and blood chemistry test results related to kidney function (G and H). by Maria A. Colombatti Olivieri (21362615)

Qualitative changes in the implant subgroup. by Adela Klezlova (22608008)

“…Eyes with the implant showed greater leukocyte infiltration and less type I collagen compared to the group without implants. …”