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

“…Normally presenting with symptoms such as dyspnea, decreased exercise tolerance, decreased maximal heart rate, and decreased arterial oxygen saturation. …”

Analysis of subgroups. by Da Huang (1306407)

“…Normally presenting with symptoms such as dyspnea, decreased exercise tolerance, decreased maximal heart rate, and decreased arterial oxygen saturation. …”

Supplementary Material for: Longer term outcomes of laparoscopic peritoneal lavage in the management of acute Hinchey III perforated diverticulitis: A Systematic review and Meta-An... by Sciascia D. (20480867)

Flowchart of the screening process. by Huixia Ren (500186)

“…Efficacy was assessed through intraoperative outcomes, primary postoperative outcomes, and statistically significant postoperative outcomes. Patients with thyroid disorders undergoing TOTVA experienced longer overall operative time and hospital stays, reduced intraoperative blood loss, increased lymph node retrieval, higher incidence of infection, lower postoperative pain scores, reduced incidence of hypocalcemia, larger drainage volumes, and higher cosmetic effect scores compared with those undergoing.…”

Result of the AMSTAR-2 assessments. by Huixia Ren (500186)

“…Efficacy was assessed through intraoperative outcomes, primary postoperative outcomes, and statistically significant postoperative outcomes. Patients with thyroid disorders undergoing TOTVA experienced longer overall operative time and hospital stays, reduced intraoperative blood loss, increased lymph node retrieval, higher incidence of infection, lower postoperative pain scores, reduced incidence of hypocalcemia, larger drainage volumes, and higher cosmetic effect scores compared with those undergoing.…”

Characteristics of included reviews. by Huixia Ren (500186)

“…Efficacy was assessed through intraoperative outcomes, primary postoperative outcomes, and statistically significant postoperative outcomes. Patients with thyroid disorders undergoing TOTVA experienced longer overall operative time and hospital stays, reduced intraoperative blood loss, increased lymph node retrieval, higher incidence of infection, lower postoperative pain scores, reduced incidence of hypocalcemia, larger drainage volumes, and higher cosmetic effect scores compared with those undergoing.…”

Result of the PRISMA assessments. by Huixia Ren (500186)

“…Efficacy was assessed through intraoperative outcomes, primary postoperative outcomes, and statistically significant postoperative outcomes. Patients with thyroid disorders undergoing TOTVA experienced longer overall operative time and hospital stays, reduced intraoperative blood loss, increased lymph node retrieval, higher incidence of infection, lower postoperative pain scores, reduced incidence of hypocalcemia, larger drainage volumes, and higher cosmetic effect scores compared with those undergoing.…”

Result of the ROBIS assessments. by Huixia Ren (500186)

“…Efficacy was assessed through intraoperative outcomes, primary postoperative outcomes, and statistically significant postoperative outcomes. Patients with thyroid disorders undergoing TOTVA experienced longer overall operative time and hospital stays, reduced intraoperative blood loss, increased lymph node retrieval, higher incidence of infection, lower postoperative pain scores, reduced incidence of hypocalcemia, larger drainage volumes, and higher cosmetic effect scores compared with those undergoing.…”

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. …”

Predicted values from a mixed model of speed of travel during a migratory leg (excluding sub-Saharan movements), with country and season as main effects, including individual bird... by Will Cresswell (567908)

Basic characteristics included in the study. by Juan Gu (288925)

“…A fixed-effects model was applied if P > 0.1 and I² ≤ 50%; otherwise, a random-effects model was used to account for significant heterogeneity Publication bias was assessed using funnel plots and Egger’s test. …”

Publication bias of the risk of all groups. by Juan Gu (288925)

“…A fixed-effects model was applied if P > 0.1 and I² ≤ 50%; otherwise, a random-effects model was used to account for significant heterogeneity Publication bias was assessed using funnel plots and Egger’s test. …”

Study selection process. by Juan Gu (288925)

“…A fixed-effects model was applied if P > 0.1 and I² ≤ 50%; otherwise, a random-effects model was used to account for significant heterogeneity Publication bias was assessed using funnel plots and Egger’s test. …”

Methodological workflow used in the study. by Ajit Kumar Rudra (21647706)

“…This shrubland was then cleared or re-burned for shifting cultivation and significantly increasing agricultural land from 21787 ha (7%) in 1988–78704 ha (25%) in 2019 at the rate of 1836.03 ha/year. …”

Release kinetics of GDNF from SIS with and without syndecan-3 (SDC3) added. by Shiu-Jau Chen (21077803)

S1 Graphical abstract - by Hai Nguyen Ngoc Dang (19200560)

“…Furthermore, the median aortic compliance (AC, 10^-2mm/mmHg) and aortic distensibility (AD, 10^-3mmHg^-1) in individuals with T2DM were 4.07 (2.28–7.44) and 3.08 (1.57–5.26), respectively, lower than those in the control group, with median values of 6.40 (3.08–10.75) and 5.33 (2.80–9.79). A longer diabetes duration was linked to a greater ASI (r = 0.43, p < 0.05), while the AS decreased (r = -0.37, p < 0.05).…”