Machine learning model to diagnose PCG. by Mingxi Shao (10066570)

“…Pearson analysis revealed significant negative correlations: SOD with anterior chamber depth (r = −0.445, p = 0.012) and H₂O₂ with mean deviation values for the visual field (r = −0.412, p = 0.041). …”

ROC curves of TAS + SOD + MDA to diagnose PCG. by Mingxi Shao (10066570)

“…Pearson analysis revealed significant negative correlations: SOD with anterior chamber depth (r = −0.445, p = 0.012) and H₂O₂ with mean deviation values for the visual field (r = −0.412, p = 0.041). …”

Baseline characteristics. by A. H. Ayesha Lavell (16734002)

“…No differences were found regarding patient care roles, prior SARS-CoV-2 infection, years of work experience, or hospital workdays per week. Mental health significantly declined during the COVID-19 pandemic, after which mental health symptoms returned to baseline as the burden of COVID-19 patients decreased and public measures were lifted. …”

De-identified participant survey data. by A. H. Ayesha Lavell (16734002)

“…No differences were found regarding patient care roles, prior SARS-CoV-2 infection, years of work experience, or hospital workdays per week. Mental health significantly declined during the COVID-19 pandemic, after which mental health symptoms returned to baseline as the burden of COVID-19 patients decreased and public measures were lifted. …”

Example of sample data. by Xiying Wang (4859998)

“…In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”

Structure of BPNN. by Xiying Wang (4859998)

“…In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”

The workflow of EGA-BPNN. by Xiying Wang (4859998)

“…In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”

S1 Data - by Xiying Wang (4859998)

“…In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”

Algorithm flow of the GA-BPNN model. by Xiying Wang (4859998)

“…In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”

Cinnamaldehyde repellency test within 6 hours in parthenogenesis <i>H. longicornis.</i> by Ceyan Kuang (8554557)

SOSV loads in specimens obtained from bats in the SOSV-MARV experimental cohort. by Amy J. Schuh (8520354)

KASV loads in specimens obtained from bats in the KASV-MARV experimental cohort. by Amy J. Schuh (8520354)

Pre- and post-study virus-specific IgG responses for bats in the SOSV-MARV and KASV-MARV experimental cohorts. by Amy J. Schuh (8520354)

Stereotactic injection of AAV-miR-129-5p attenuated microglia activation in depressed mice. by Qiaozhen Qin (13159201)

Stereotactic injection of AAV-miR-129-5p suppressed astrocyte activation in depressed mice. by Qiaozhen Qin (13159201)

CPSF6-NLS chimeras confer virus-specific infectivity defects. by Nicholas Rohlfes (20577485)

“…Results (mean ± SEM) are representative from 3 independent experiments with at least technical duplicate samples per experiment. …”

Relationship between miR-129-5p and Mysm1 in depressed mice. by Qiaozhen Qin (13159201)

Weights and body temperatures of bats assigned to the SOSV-MARV and KASV-MARV experimental cohorts. by Amy J. Schuh (8520354)

MARV shedding dynamics in bats from the KASV-MARV experimental cohort. by Amy J. Schuh (8520354)

Cumulative MARV shedding in bats from the SOSV-MARV and KASV-MARV experimental cohort. by Amy J. Schuh (8520354)