Data file. by Maryam Khalaji (21743611)

“…The results showed that mental fatigue significantly decreased QE duration (Mean difference = −138.75 ms, p = .0009) and fixation duration (Mean difference = 67.50 ms, p = .001), indicating a detrimental effect on sustained attention. …”

SNAP-25 (1-197) binds to syntaxin-1A, and the interaction is enhanced by Ser187 phosphorylation. by Dilara Koc (22431017)

2023-2050 (ten thousand). by Wei Wang (17594)

BMI versus change in soft tissue thickness in hydrated to dehydrated state. by Fatemeh Khorami (22041563)

S1 File - by Natalia V. Leiva (20114264)

“…Survival and longevity were significantly higher at lower temperature and copper concentration (14°C and 0.2 mg/L). …”

Balance test results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Mechanism analysis results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Endogenous test results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Heterogeneity analysis results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Robustness test results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Baseline results of the impact of RLM on HWSW. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

The influencing factors of RLM. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Variable definitions and basic statistics. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Average and marginal effects of RLM on HWSW. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

miR-122 targets RBM47 via interacting with its 3’UTR. by Lijun Mao (561880)

Fig 1 - by Taehyeong Kim (8991383)

PTK2B knockdown inhibits the viability and proliferation of HUVECs. by Lelin Jiang (22127048)

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). …”