Cohort characteristics. حسب Fernanda Talarico (807333)

"…</p><p>Results</p><p>The analysis reveals a significant decrease in all health services utilization from 2016 to 2019, followed by an increase until 2022. …"

Contrasting Size Dependence of Photochemical Lifetimes of Polypropylene and Expanded Polystyrene Microplastics in Surface Waters حسب Ariana Patterson (22764051)

"…Sunlight-driven photochemistry can dissolve buoyant microplastics, producing dissolved organic carbon (DOC). We hypothesized that plastic dissolution would increase linearly with increasing surface area (SA)-to-volume (V) ratio as plastics decrease in size. …"

BMI groups by SES. حسب Krystal Hunter (6820052)

"…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …"

BMISES_Data_Part2. حسب Krystal Hunter (6820052)

"…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …"

Logistic regression for LSES population. حسب Krystal Hunter (6820052)

"…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …"

Logistic regression for HSES population. حسب Krystal Hunter (6820052)

"…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …"

Logistic regression for overall population. حسب Krystal Hunter (6820052)

"…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …"

BMISES_Data_Part1. حسب Krystal Hunter (6820052)

"…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …"

Baseline characteristics of HSES/LSES population. حسب Krystal Hunter (6820052)

"…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …"

Baseline characteristics of overall population. حسب Krystal Hunter (6820052)

"…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …"

Diagram of study population. حسب Krystal Hunter (6820052)

"…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …"

Structure diagram of ensemble model. حسب Hongqi Wang (2208238)

"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"

Fitting formula parameter table. حسب Hongqi Wang (2208238)

"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"

Test plan. حسب Hongqi Wang (2208238)

"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"

Fitting surface parameters. حسب Hongqi Wang (2208238)

"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"

Model generalisation validation error analysis. حسب Hongqi Wang (2208238)

"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"

Empirical model prediction error analysis. حسب Hongqi Wang (2208238)

"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"

Fitting curve parameters. حسب Hongqi Wang (2208238)

"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"

Test instrument. حسب Hongqi Wang (2208238)

"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"

Empirical model establishment process. حسب Hongqi Wang (2208238)

"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"