Theoretical model. by Jing-hua Yin (13007541)

Path analysis. by Jing-hua Yin (13007541)

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)

CDK5 knockdown increases TP53 and p27^Kip1 protein half-lives, increases nuclear localization of the two proteins, decreases p27^Kip1 p-T187 phosphorylation and... by Shu Zhang (22238)

“…<p>(<b>A</b>) Transfection with CDK5 siRNA increased the half-life of p53 and p27^Kip1 protein. …”

Average final entropy decrease (i.e. information gain) after 200 observations using the <i>Constant</i> (top), <i>Uniform</i> (middle), or <i>Exponential</i> (bottom) protocol, for... by Camille Gontier (9442304)

Reaction Mechanism Underlying Pd(II)-Catalyzed Oxidative Coupling of Ethylene and Benzene to Form Styrene: Identification of a Cyclic Mono-Pd^II Bis-Cu^II Compl... by Charles B. Musgrave (3071073)

“…The PdCu₂(μ-OAc)₆ cyclic trimer leads to a CMD barrier of 33.5 kcal/mol, while the [Pd­(μ-OAc)₂]₃ species leads to a larger CMD barrier at >35 kcal/mol. …”

Results for RBC dominant clots: (A) time to recanalize <i>in vitro</i> model; (B) relative clot reduction; (C) RBC release; (D) relative clot degradation rate. by Sandra Thalerová (11434762)