NbUCH15 promotes RipE1 stability by deubiquitination. by Wenjia Yu (9422059)

A proposed model on the impact of DHA and ARA supplementation on <i>L. vannamei</i> health. by Virak Visudtiphole (11574169)

CONSORT diagram. by Aina Gabarrell-Pascuet (17696594)

“…Statistically significant (<i>p</i><0.01) decreases in emotional loneliness and depressive symptoms were observed following the intervention. …”

S1 Dataset - by Riham Saud Alhazmy (19697677)

“…</p><p>Results</p><p>The mean HbA1c level decreased from 8.61 ± 1.70 to 7.92 ± 1.60 after implementing the WhatsApp group instructions; the values showed a significant difference (t-value = 5.107 and <i>P</i>-value < 0.001). …”

Particepant recruitment flowchart. by Riham Saud Alhazmy (19697677)

“…</p><p>Results</p><p>The mean HbA1c level decreased from 8.61 ± 1.70 to 7.92 ± 1.60 after implementing the WhatsApp group instructions; the values showed a significant difference (t-value = 5.107 and <i>P</i>-value < 0.001). …”

Flow of participants through the study. by Sedighe Esmaeilzadeh (21100668)

“…Furthermore, melatonin significantly decreased sleep latency, exhibiting a large effect size, and contributed to a medium reduction in the use of sleep medications. …”

Demographic Characteristics of Participants. by Sedighe Esmaeilzadeh (21100668)

“…Furthermore, melatonin significantly decreased sleep latency, exhibiting a large effect size, and contributed to a medium reduction in the use of sleep medications. …”

Results of longitudinal analysis of mental health in HCWs. by A. H. Ayesha Lavell (16734002)

Baseline characteristics. by Daniela Sánchez-Santiesteban (21192342)

“…</p><p>Results</p><p>The cohort included 1,913 formal employees (mean age: 49.9 years), with 660 deaths (34.5%) recorded over the follow-up period. …”

Summary of subscales or questions utilized to define traits. by Dai Nogimura (21445649)

Demographic and ocular features. 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). …”

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. …”