Gravitational Fingering Due to Density Increase by Mixing at a Vertical Displacing Front in Porous Media by Lei Wang (6656)

“…In the fingers, the local NaI concentration decreased linearly and the initial interface traveled downward as a result of the enhanced interaction of the fingers during the injection process. …”

Gravitational Fingering Due to Density Increase by Mixing at a Vertical Displacing Front in Porous Media by Lei Wang (6656)

“…In the fingers, the local NaI concentration decreased linearly and the initial interface traveled downward as a result of the enhanced interaction of the fingers during the injection process. …”

Gravitational Fingering Due to Density Increase by Mixing at a Vertical Displacing Front in Porous Media by Lei Wang (6656)

“…In the fingers, the local NaI concentration decreased linearly and the initial interface traveled downward as a result of the enhanced interaction of the fingers during the injection process. …”

Cumulative and ruptured oocysts. by Lauren M. Childs (593877)

Local and global interpretability of NATE. by Seongil Han (20490232)

Botulinum toxin type A wear-off phenomenon in chronic migraine patients: how long does the maximum efficiency last? by Aygul Tantik PAK (12686251)

“…The mean analgesic intake before BoNTA was 11.48±4.68 tablets/month, while it decreased to 6.53±2.72 tablets/month in the first month (p<0.001) and 5.40±2.46 tablets/month in the second month (p<0.001). …”

Effects of DMSO on chromosome alignment and spindle organization of <i>in vitro</i> matured porcine oocytes. by Xuan Li (137217)

Features on GMSC dataset used in NATE. by Seongil Han (20490232)

“…Logistic regression is widely used in credit scoring due to its robustness, interpretability, and computational efficiency; however, its predictive power decreases when applied to complex or non-linear datasets, resulting in reduced accuracy. …”

Searching space for hyperparameters in Table 7. by Seongil Han (20490232)

“…Logistic regression is widely used in credit scoring due to its robustness, interpretability, and computational efficiency; however, its predictive power decreases when applied to complex or non-linear datasets, resulting in reduced accuracy. …”

GMSC dataset (IR: Imbalance Ratio). by Seongil Han (20490232)

“…Logistic regression is widely used in credit scoring due to its robustness, interpretability, and computational efficiency; however, its predictive power decreases when applied to complex or non-linear datasets, resulting in reduced accuracy. …”

Under-sampled dataset. by Seongil Han (20490232)

“…Logistic regression is widely used in credit scoring due to its robustness, interpretability, and computational efficiency; however, its predictive power decreases when applied to complex or non-linear datasets, resulting in reduced accuracy. …”

The system architecture of NATE. by Seongil Han (20490232)

“…Logistic regression is widely used in credit scoring due to its robustness, interpretability, and computational efficiency; however, its predictive power decreases when applied to complex or non-linear datasets, resulting in reduced accuracy. …”

Over-sampled dataset. by Seongil Han (20490232)

“…Logistic regression is widely used in credit scoring due to its robustness, interpretability, and computational efficiency; however, its predictive power decreases when applied to complex or non-linear datasets, resulting in reduced accuracy. …”

Comparison of life cycle model with published data. by Lauren M. Childs (593877)

Countermovement jump force-time metric definitions and classifications. by Nicolas M. Philipp (13272198)

Performance enhancements of classification models using the undersampling method (NearMiss). by Seongil Han (20490232)

Descriptive statistics for CMJ and DJ force-time metrics across the three time-points. by Nicolas M. Philipp (13272198)

Performance enhancements of classification models using the oversampling method (SMOTE). by Seongil Han (20490232)

Descriptive statistics for CMJ and DJ force-time metrics across the three time-points and by RSA-classification. by Nicolas M. Philipp (13272198)

Raincloud plots with median, quartile, density and individual data points for CV%’s of the DJ metrics across the three time-points analyzed. by Nicolas M. Philipp (13272198)