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. …”

RE-AIM indicators. by Gadapani Barsha Pathak (20700684)

“…If successful, this model can significantly improve stillbirth prevention in low-resource settings.…”

Logic model based on ERIC-CFIR. by Gadapani Barsha Pathak (20700684)

“…If successful, this model can significantly improve stillbirth prevention in low-resource settings.…”

Interpretation of findings of the present study. by Rayane Brinck Teixeira (6676529)

Participants demographic data. by Gabriela Garcia (119921)

“…</p><p>Results</p><p>The exoskeleton significantly (p < .05) reduced peak erector spinae, biceps brachii activity, and heart rate across sexes, with medium to large effect sizes (η_p²> 0.1). …”

TaqMan probes. by Lydie M. O. Barbeau (5941712)

“…Analysis of TCGA datasets reveals reduced <i>MAP1LC3C</i> expression in cancer. Further analysis indicates that low <i>MAP1LC3C</i> is associated with reduced CIITA and <i>HLA</i> expression and with decreased immune cell infiltration. …”

Minimal data set. by Lydie M. O. Barbeau (5941712)

“…Analysis of TCGA datasets reveals reduced <i>MAP1LC3C</i> expression in cancer. Further analysis indicates that low <i>MAP1LC3C</i> is associated with reduced CIITA and <i>HLA</i> expression and with decreased immune cell infiltration. …”

Quantitative real-time PCR primer sequences. by Lydie M. O. Barbeau (5941712)

“…Analysis of TCGA datasets reveals reduced <i>MAP1LC3C</i> expression in cancer. Further analysis indicates that low <i>MAP1LC3C</i> is associated with reduced CIITA and <i>HLA</i> expression and with decreased immune cell infiltration. …”

MAP1LC3C shRNA sequences. by Lydie M. O. Barbeau (5941712)

“…Analysis of TCGA datasets reveals reduced <i>MAP1LC3C</i> expression in cancer. Further analysis indicates that low <i>MAP1LC3C</i> is associated with reduced CIITA and <i>HLA</i> expression and with decreased immune cell infiltration. …”

Comparison of average glutathione reductase. by Zohreh Ghotbeddin (20108032)

Profiling overall protein <i>O</i>-glycosylation pathway genes in <i>F. graminearum.</i> by Heeji Moon (17474719)

Profiling overall protein <i>N</i>-glycosylation pathway genes in <i>F. graminearum.</i> by Heeji Moon (17474719)