Regression model coefficients. by Shane Naidoo (20148021)

“…Physical activity has been shown to effectively reduce risk factors for non-communicable diseases in older people.…”

ICOPE screening positive participant’s responses. by Shane Naidoo (20148021)

“…Physical activity has been shown to effectively reduce risk factors for non-communicable diseases in older people.…”

WHO BMI classification for adults. by Shane Naidoo (20148021)

“…Physical activity has been shown to effectively reduce risk factors for non-communicable diseases in older people.…”

6MWT results. by Imane Salmam (21485704)

“…Additionally, VO₂_peak was decreased in most studies (7/10), falling below 80% of the predicted value, indicating impaired aerobic capacity. …”

Flowchart of selected studies. by Imane Salmam (21485704)

“…Additionally, VO₂_peak was decreased in most studies (7/10), falling below 80% of the predicted value, indicating impaired aerobic capacity. …”

Spirometry results. by Imane Salmam (21485704)

“…Additionally, VO₂_peak was decreased in most studies (7/10), falling below 80% of the predicted value, indicating impaired aerobic capacity. …”

Detailed characteristics of included studies. by Imane Salmam (21485704)

“…Additionally, VO₂_peak was decreased in most studies (7/10), falling below 80% of the predicted value, indicating impaired aerobic capacity. …”

Risk of bias assessment of included studies. by Imane Salmam (21485704)

“…Additionally, VO₂_peak was decreased in most studies (7/10), falling below 80% of the predicted value, indicating impaired aerobic capacity. …”

VO_2peak results. by Imane Salmam (21485704)

“…Additionally, VO₂_peak was decreased in most studies (7/10), falling below 80% of the predicted value, indicating impaired aerobic capacity. …”

Microhardness vs. depth diagram of sample No. 6 ( by Van-Thuc Nguyen (19469762)

“…The Travel speed factor appears to have the greatest effect, followed by the gas flow rate and current intensity. …”

Table 1_The clinical prediction model to distinguish between colonization and infection by Klebsiella pneumoniae.xlsx by Xiaoyu Zhang (62901)

“…The importance of each factor was demonstrated using mean decrease in Gini. …”

Table 2_Global burden of lung cancer in adolescents and adults aged 15–45: analysis of the global burden of disease study (1990–2021).xlsx by Ziqi Han (12840074)

“…We examined variations by sex, age subgroup, sociodemographic index (SDI), and region and assessed key risk factors contributing to DALYs.</p>Results<p>Our findings reveal that while the number of lung cancer cases aged 15–45 increased by 22.1%, the age-standardized prevalence decreased by 23.9%; age-standardized mortality and DALYs declined significantly over the past three decades. …”

Table 3_Global burden of lung cancer in adolescents and adults aged 15–45: analysis of the global burden of disease study (1990–2021).xlsx by Ziqi Han (12840074)

“…We examined variations by sex, age subgroup, sociodemographic index (SDI), and region and assessed key risk factors contributing to DALYs.</p>Results<p>Our findings reveal that while the number of lung cancer cases aged 15–45 increased by 22.1%, the age-standardized prevalence decreased by 23.9%; age-standardized mortality and DALYs declined significantly over the past three decades. …”

Table 4_Global burden of lung cancer in adolescents and adults aged 15–45: analysis of the global burden of disease study (1990–2021).xlsx by Ziqi Han (12840074)

“…We examined variations by sex, age subgroup, sociodemographic index (SDI), and region and assessed key risk factors contributing to DALYs.</p>Results<p>Our findings reveal that while the number of lung cancer cases aged 15–45 increased by 22.1%, the age-standardized prevalence decreased by 23.9%; age-standardized mortality and DALYs declined significantly over the past three decades. …”

Table 1_Global burden of lung cancer in adolescents and adults aged 15–45: analysis of the global burden of disease study (1990–2021).xlsx by Ziqi Han (12840074)

“…We examined variations by sex, age subgroup, sociodemographic index (SDI), and region and assessed key risk factors contributing to DALYs.</p>Results<p>Our findings reveal that while the number of lung cancer cases aged 15–45 increased by 22.1%, the age-standardized prevalence decreased by 23.9%; age-standardized mortality and DALYs declined significantly over the past three decades. …”

Data Sheet 1_Global burden of lung cancer in adolescents and adults aged 15–45: analysis of the global burden of disease study (1990–2021).pdf by Ziqi Han (12840074)

“…We examined variations by sex, age subgroup, sociodemographic index (SDI), and region and assessed key risk factors contributing to DALYs.</p>Results<p>Our findings reveal that while the number of lung cancer cases aged 15–45 increased by 22.1%, the age-standardized prevalence decreased by 23.9%; age-standardized mortality and DALYs declined significantly over the past three decades. …”

Shear-damage surface. by Hui Cheng (195456)

“…The results indicate significant geographical heterogeneity in loess strength indices, with the structural properties of loess being a primary factor contributing to this variability. …”

Trial pits. by Hui Cheng (195456)

“…The results indicate significant geographical heterogeneity in loess strength indices, with the structural properties of loess being a primary factor contributing to this variability. …”

Loess strength index by region. by Hui Cheng (195456)

“…The results indicate significant geographical heterogeneity in loess strength indices, with the structural properties of loess being a primary factor contributing to this variability. …”

Discrete element simulation. by Hui Cheng (195456)

“…The results indicate significant geographical heterogeneity in loess strength indices, with the structural properties of loess being a primary factor contributing to this variability. …”