The mean parasite concentration in the excreted urine of <i>Trypanosoma cruzi</i>-infected <i>Rhodnius prolixus</i> maintained at (A) 26°C and (B) 28°C at different triatomine deve... by Henri Loshouarn (17896676)

Adaptation following drug washout. by Alma Beatrix Stier (20903134)

Data Sheet 1_Factors influencing, and associated with, physical activity patterns in dogs with osteoarthritis-associated pain.xlsx by Christina Stevens (9737867)

“…</p>Results<p>At times of peak activity within a 24-h period, dogs with hindlimb OA pain, higher age, higher Clinical Metrology Instrument scores, higher joint pain, greater Body Condition Score and greater muscle atrophy all had decreased activity profiles. …”

Data Sheet 2_Factors influencing, and associated with, physical activity patterns in dogs with osteoarthritis-associated pain.pdf by Christina Stevens (9737867)

“…</p>Results<p>At times of peak activity within a 24-h period, dogs with hindlimb OA pain, higher age, higher Clinical Metrology Instrument scores, higher joint pain, greater Body Condition Score and greater muscle atrophy all had decreased activity profiles. …”

Data Sheet 6_Factors influencing, and associated with, physical activity patterns in dogs with osteoarthritis-associated pain.pdf by Christina Stevens (9737867)

“…</p>Results<p>At times of peak activity within a 24-h period, dogs with hindlimb OA pain, higher age, higher Clinical Metrology Instrument scores, higher joint pain, greater Body Condition Score and greater muscle atrophy all had decreased activity profiles. …”

Data Sheet 4_Factors influencing, and associated with, physical activity patterns in dogs with osteoarthritis-associated pain.pdf by Christina Stevens (9737867)

“…</p>Results<p>At times of peak activity within a 24-h period, dogs with hindlimb OA pain, higher age, higher Clinical Metrology Instrument scores, higher joint pain, greater Body Condition Score and greater muscle atrophy all had decreased activity profiles. …”

Data Sheet 5_Factors influencing, and associated with, physical activity patterns in dogs with osteoarthritis-associated pain.pdf by Christina Stevens (9737867)

“…</p>Results<p>At times of peak activity within a 24-h period, dogs with hindlimb OA pain, higher age, higher Clinical Metrology Instrument scores, higher joint pain, greater Body Condition Score and greater muscle atrophy all had decreased activity profiles. …”

Data Sheet 3_Factors influencing, and associated with, physical activity patterns in dogs with osteoarthritis-associated pain.pdf by Christina Stevens (9737867)

“…</p>Results<p>At times of peak activity within a 24-h period, dogs with hindlimb OA pain, higher age, higher Clinical Metrology Instrument scores, higher joint pain, greater Body Condition Score and greater muscle atrophy all had decreased activity profiles. …”

Cross-sectional dependence results. by Ozlem Kutlu Furtuna (20308206)

“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”

Autocorrelation test results. by Ozlem Kutlu Furtuna (20308206)

“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”

Pesaran’s CADF test results for Model I. by Ozlem Kutlu Furtuna (20308206)

“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”

Descriptive statistics of related variables. by Ozlem Kutlu Furtuna (20308206)

“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”

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

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. …”

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