Knockdown of ATP2C1 results in a minor decrease of [Ca²⁺] in WPB. by Julian Terglane (12975565)

The small blue circles show the IC-volume (mean of left and right) from 72 males and the small red squares from 51 females as a function of age. by Pingling Kwok (14896191)

Changes in baseline CD4 count through week 12 and week 24 according to the linear regression model. by Tosi M. Mwakyandile (16408705)

Study Flow Diagram. by Elizabeth S. Munroe (21568166)

Antibody and antigen responses to Lufotrelvir vs placebo day 1–90. by Elizabeth S. Munroe (21568166)

Antibody and antigen responses after treatment with nMAb vs placebo, day 1-90 (pooled nMAb treatments). by Elizabeth S. Munroe (21568166)

Antibody and antigen responses to Ensovibep vs placebo day 1–90. by Elizabeth S. Munroe (21568166)

Antibody and antigen responses to nMAb vs placebo day 1–90 for Sotrovimab. by Elizabeth S. Munroe (21568166)

Antibody and antigen responses to nMAb vs placebo day 1–90 for Amubarvimab/ Romlusevimab. by Elizabeth S. Munroe (21568166)

Antibody and antigen responses to nMAb vs placebo day 1–90 for Tixagevimab/ Cilgavimab. by Elizabeth S. Munroe (21568166)

Antibody and antigen responses to nMAb vs placebo day 1–90 for Bamlanivimab. by Elizabeth S. Munroe (21568166)

Longitudinal antibody and antigen responses to treatment vs placebo day 1–90 for nMAbs, among patients alive and with day 90 antibody and antigen measures (Sensitivity Analysis). by Elizabeth S. Munroe (21568166)

Long-term anti-nucleocapsid response by baseline patient characteristics. by Elizabeth S. Munroe (21568166)

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

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

Fitting formula parameter table. by Hongqi Wang (2208238)

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

Test plan. by Hongqi Wang (2208238)

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

Fitting surface parameters. by Hongqi Wang (2208238)

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

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

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

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

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”

Fitting curve parameters. by Hongqi Wang (2208238)

“…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”