Inactivation of MnuA and 5′-NT reduced bacterial fitness and virulence of <i>M</i>. <i>bovis</i> PG45 in mammary glands. by Aga E. Gelgie (17661720)

Survival curve of ART Treatment outcomes. by Ekerette Emmanuel Udoh (7326194)

“…LTFU was shown to be low, decreasing significantly from 20.37 per 100PY in 2020 to 0.69 per 100PY in 2022. …”

Baseline characteristics of the participants. by Junichi Kushioka (12236447)

“…Our accessible, non-invasive model serves as a tool that can accurately diagnose the labor-intensive LS tests using only visual assessments, streamlining LS detection and expediting treatment initiation. This significantly improves patient outcomes and marks a crucial advancement in digital health, addressing key challenges in management and care of LS.…”

Internal validation by cross-validation. by Junichi Kushioka (12236447)

“…Our accessible, non-invasive model serves as a tool that can accurately diagnose the labor-intensive LS tests using only visual assessments, streamlining LS detection and expediting treatment initiation. This significantly improves patient outcomes and marks a crucial advancement in digital health, addressing key challenges in management and care of LS.…”

GrowSafe™ system and steer eating. by M. Jordana Rivero (14610947)

“…<div><p>Heat stress is a significant challenge in tropical beef production systems, affecting feed intake, water intake, and overall animal welfare. …”

Intergado™ System and steer drinking water. by M. Jordana Rivero (14610947)

“…<div><p>Heat stress is a significant challenge in tropical beef production systems, affecting feed intake, water intake, and overall animal welfare. …”

Structure used to provide shade. by M. Jordana Rivero (14610947)

“…<div><p>Heat stress is a significant challenge in tropical beef production systems, affecting feed intake, water intake, and overall animal welfare. …”

Green Hydrogen Economy: Scenarios versus Technologies by Hua Fan (495346)

“…Our findings reveal that operational scenarios can reduce LCOH more significantly than technological improvements alone. …”

Higher sampling flow rates result in higher viral recovery. by Eloise Parry-Nweye (7548998)

Jitter plot illustrating the distribution of three racial groups across varying rural percentages. by Michael Bradfield (3540005)

TAD boundary stability for different noise amplitudes for all chromosomes. by Lucas Hedström (21688891)

Ranking position of feature importance for each cluster in the post-vaccination period. by Jéssica Villar (21453137)

Ranking position of feature importance for each cluster in the pre-vaccination period. by Jéssica Villar (21453137)

SHAP Values per cluster in the pre-vaccination period show each feature’s importance on COVID-19 mortality. by Jéssica Villar (21453137)

SHAP Values per cluster in the post-vaccination period show each feature’s importance on COVID-19 mortality. by Jéssica Villar (21453137)

Participant characteristics by village. by Tyler M. Barrett (20846174)

“…These results suggest that climate change is a significant challenge for farmers in northeast Madagascar, yet adaptation is limited by existing socioeconomic inequalities involving access to market activities and gender.…”

Major hyperparameters of RF-SVR. by Jintao Li (448681)

“…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”

Pseudo code for coupling model execution process. by Jintao Li (448681)

“…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”

Major hyperparameters of RF-MLPR. by Jintao Li (448681)

“…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”

Results of RF algorithm screening factors. by Jintao Li (448681)

“…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”