The four phases of AcMNPV infection cycle and the design of dual reporter baculovirus (DRBac). by Enrique Paz-Cortés (20988196)

Data. by Aroon La-up (14095691)

“…The Linear Mixed-Effects Model analysis revealed significant associations between BMD and several factors: increasing age, female sex, diabetes status and BMI. …”

Kaplan-Meier curves and time-dependent Cox regression for outcome of mortality. by Jennifer M. Kwan (3350321)

Subjects:

Cox regression models for adverse cardiovascular events (ACE) and individual components of ACE. by Jennifer M. Kwan (3350321)

Subjects:

Adverse cardiovascular events by immune checkpoint inhibitor. by Jennifer M. Kwan (3350321)

Subjects:

Baseline demographics and comorbidities by presence of post-treatment adverse cardiovascular events. by Jennifer M. Kwan (3350321)

Subjects:

Minimal dataset. by Jennifer M. Kwan (3350321)

Subjects:

Table 2 - by Rosanna Mary Rooney (17595801)

“…Additionally, it will likely highlight significant trends in risk and protective factors, such as the dual role of academic achievement—both as a risk and protective factor—and the impact of family-based interventions. …”

Prime sequences. by Qiaozhen Qin (13159201)

“…In this study, we found that microRNA-129-5p (miR-129-5p) was significantly decreased in the brains of depressive mice. …”

Bacterial strains and plasmids. by Eunsil Choi (8271039)

Primers used for qPCR gene expression analysis. by Yejin Kim (740789)

Findings of the study. by Kalaivanan Syasyila (21430046)

“…Mental health issues, particularly those co-occurring with substance use, impede reintegration, with emotional dysregulation and poor decision-making contributing to continued criminal conduct. Other significant risk factors include involvement in a gang, trauma exposure, and a lack of rehabilitative assistance. …”

PRISMA Flowchart. by Kalaivanan Syasyila (21430046)

“…Mental health issues, particularly those co-occurring with substance use, impede reintegration, with emotional dysregulation and poor decision-making contributing to continued criminal conduct. Other significant risk factors include involvement in a gang, trauma exposure, and a lack of rehabilitative assistance. …”

General description of the study. by Kalaivanan Syasyila (21430046)

“…Mental health issues, particularly those co-occurring with substance use, impede reintegration, with emotional dysregulation and poor decision-making contributing to continued criminal conduct. Other significant risk factors include involvement in a gang, trauma exposure, and a lack of rehabilitative assistance. …”

Quality Assessment. by Kalaivanan Syasyila (21430046)

“…Mental health issues, particularly those co-occurring with substance use, impede reintegration, with emotional dysregulation and poor decision-making contributing to continued criminal conduct. Other significant risk factors include involvement in a gang, trauma exposure, and a lack of rehabilitative assistance. …”

Inclusion and exclusion criteria. by Kalaivanan Syasyila (21430046)

“…Mental health issues, particularly those co-occurring with substance use, impede reintegration, with emotional dysregulation and poor decision-making contributing to continued criminal conduct. Other significant risk factors include involvement in a gang, trauma exposure, and a lack of rehabilitative assistance. …”

Table 2_Factors influencing bone mineral density in hyperparathyroidism phenotypes: a prospective study.xlsx by Margot Giocondo (21435500)

Table 1_Factors influencing bone mineral density in hyperparathyroidism phenotypes: a prospective study.xlsx by Margot Giocondo (21435500)

Example of sample data. by Xiying Wang (4859998)

“…Moreover, it is suitable for the irrigation flow prediction task with complex environmental factors in smart agriculture. Finally, comparative experiments compare the prediction accuracy of BPNN and EGA-BPNN using single and dual water level flow prediction models respectively. …”

Structure of BPNN. by Xiying Wang (4859998)

“…Moreover, it is suitable for the irrigation flow prediction task with complex environmental factors in smart agriculture. Finally, comparative experiments compare the prediction accuracy of BPNN and EGA-BPNN using single and dual water level flow prediction models respectively. …”