Logistic regression for LSES population. by 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. by 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. by 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. by 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. by 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. by 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. by 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. …”

S1 Data - by Francois Kiemde (5369657)

“…However, when cortisol increases with one unit, the average concentration of prolactin decreases by 1.16 ng/ml (p = 0.013).…”

Characteristic of study population. by Francois Kiemde (5369657)

“…However, when cortisol increases with one unit, the average concentration of prolactin decreases by 1.16 ng/ml (p = 0.013).…”

Design of the D-trial. by Torsten Schober (20485754)

“…An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m². …”

Estimated mean values for light interception. by Torsten Schober (20485754)

“…An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m². …”

Raw data V-trial. by Torsten Schober (20485754)

“…An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m². …”

Raw data D-trial. by Torsten Schober (20485754)

“…An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m². …”

Data. by Aroon La-up (14095691)

“…Osteoporosis prevalence remained stable in both males and females. The Linear Mixed-Effects Model analysis revealed significant associations between BMD and several factors: increasing age, female sex, diabetes status and BMI. …”

Geometric manifold comparison visualization by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Hyperparameter ranges by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Convolutional vs RNN context encoder by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Association of covariates and COPD risk. by Yushan Shi (16440272)

“…Stratified analyses revealed no significant differences or interactions.</p><p>Conclusion</p><p>Our findings suggest a potential link between increased dietary niacin intake and a decreased prevalence of COPD.…”

Narrow- and broad-band spectral changes after hemispherotomy in an awake representative patient, displaying marked electroencephalography (EEG) slowing of the isolated cortex. by Michele Angelo Colombo (22446342)

Innovation and night light in large and small cities. by Saul Estrin (8629173)