Row data. by Xiangyu Wang (341093)

“…<div><p>Objective</p><p>Body image perception significantly impacts university students’ well-being and potentially their creativity. …”

Univariate linear regression analysis of scales. by Xiangyu Wang (341093)

“…<div><p>Objective</p><p>Body image perception significantly impacts university students’ well-being and potentially their creativity. …”

Primers used in present study. by Razia Liaqat (17873634)

“…Compared to the positive control, interleukin-6 levels were significantly reduced (P < 0.05) in all treatments. Superoxide dismutase and catalase activity increased in response to the bacterial challenge, while malondialdehyde levels gradually decreased. …”

Green Hydrogen Economy: Scenarios versus Technologies by Hua Fan (495346)

“…Green hydrogen is anticipated to be instrumental in decarbonizing sectors that are challenging to electrify and in facilitating the storage and distribution of renewable energy. …”

Model selection based on best fit. by Angelina Mageni Lutambi (22097223)

“…<div><p>Malaria remains a significant public health challenge, particularly among vulnerable populations in high-burden countries like Tanzania. …”

Demographic information. by Aisha Ali Hawsawi (20685883)

“…It also identifies challenges within medical education, emphasising the necessity for stress management programs, mental health support, and curricula promoting problem-solving skills. …”

Additional within-case comparison information. by Ryan J. Treves (13527735)

“…<div><p>Promoting regulatory compliance in the face of limited resources poses a distinct challenge to regulators, who can find within rational choice theory a diverse toolkit of policy levers – ones that change the likelihood that noncompliance is sanctioned, the size of sanctions, or the cost of compliance – but must look beyond theory to understand how such levers actually work in practice. …”

POTW sample summary. by Ryan J. Treves (13527735)

“…<div><p>Promoting regulatory compliance in the face of limited resources poses a distinct challenge to regulators, who can find within rational choice theory a diverse toolkit of policy levers – ones that change the likelihood that noncompliance is sanctioned, the size of sanctions, or the cost of compliance – but must look beyond theory to understand how such levers actually work in practice. …”

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. …”

List of captured wild pollinator species. by Carmelo Gómez-Martínez (9384385)

“…Overall pollinator abundance was slightly higher in ecological than conventional orchards, but the difference was not significant. High male-to-female ratio enhanced overall pollinator abundance and shaped pollinator composition, by increasing hoverfly abundance and decreasing wasp and fly abundance. …”

Map of the 20 study orchards. by Carmelo Gómez-Martínez (9384385)

“…Overall pollinator abundance was slightly higher in ecological than conventional orchards, but the difference was not significant. High male-to-female ratio enhanced overall pollinator abundance and shaped pollinator composition, by increasing hoverfly abundance and decreasing wasp and fly abundance. …”

Pictures of carob tree flowers and orchard. by Carmelo Gómez-Martínez (9384385)

“…Overall pollinator abundance was slightly higher in ecological than conventional orchards, but the difference was not significant. High male-to-female ratio enhanced overall pollinator abundance and shaped pollinator composition, by increasing hoverfly abundance and decreasing wasp and fly abundance. …”

pHI for net status. by Job Oyweri (22041452)

“…<div><p>Background</p><p>Long-lasting insecticidal nets (LLINs) are vital for malaria control in sub-Saharan Africa, but their durability is challenged by fabric decay and pyrethroid resistance. …”

Combined net integrity PBO and LLINs-PLOS1. by Job Oyweri (22041452)

“…<div><p>Background</p><p>Long-lasting insecticidal nets (LLINs) are vital for malaria control in sub-Saharan Africa, but their durability is challenged by fabric decay and pyrethroid resistance. …”

Factors affecting pyrethroid-LLINs integrity. by Job Oyweri (22041452)

“…<div><p>Background</p><p>Long-lasting insecticidal nets (LLINs) are vital for malaria control in sub-Saharan Africa, but their durability is challenged by fabric decay and pyrethroid resistance. …”

Factors associated with mosquito net integrity. by Job Oyweri (22041452)

“…<div><p>Background</p><p>Long-lasting insecticidal nets (LLINs) are vital for malaria control in sub-Saharan Africa, but their durability is challenged by fabric decay and pyrethroid resistance. …”