Data Sheet 4_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.pdf by Lijun Wang (176511)

“…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”

Table 4_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.xlsx by Lijun Wang (176511)

“…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”

Data Sheet 1_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.pdf by Lijun Wang (176511)

“…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”

Table 2_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.xlsx by Lijun Wang (176511)

“…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”

Data Sheet 2_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.pdf by Lijun Wang (176511)

“…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”

Table 3_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.xlsx by Lijun Wang (176511)

“…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”

Table 1_Global, regional, and national epilepsy of unknown cause incidence and mortality, 1990–2036: cross-national health inequalities and predictive analytics.xlsx by Lijun Wang (176511)

“…Correlation analysis revealed a significant negative association between ASDR, ASYR, and SDI, while ASIR showed a weak and statistically insignificant positive correlation with SDI. …”

Sensitivity analysis for acute fatigue subscale. by Rong Pi (21743379)

“…Studies have consistently linked occupational fatigue to decreased productivity, heightened error rates, and compromised decision-making abilities, posing significant risks to both individual nurses and healthcare organizations. …”

Factors related to nurses’ occupational fatigue. by Rong Pi (21743379)

“…Studies have consistently linked occupational fatigue to decreased productivity, heightened error rates, and compromised decision-making abilities, posing significant risks to both individual nurses and healthcare organizations. …”

Sensitivity analysis for inter-shift subscale. by Rong Pi (21743379)

“…Studies have consistently linked occupational fatigue to decreased productivity, heightened error rates, and compromised decision-making abilities, posing significant risks to both individual nurses and healthcare organizations. …”

HE staining images of renal tissues (×400). by Jian-feng Li (8667645)

Assessment of the relationship between adiposity, Sirtuin 1, and miR-30a-5p in a mixed-ancestry population in Bellville South, Cape Town. by Babalwa Gaxamba (20810513)

“…</p><p dir="ltr"><b>Study Results</b>: A total of 150 females and 150 males were selected for this study with an average age of 50 years. miR-30a-5p expression was significantly higher in overweight and obese participants compared to normal-weight individuals. …”

Comprehensive evaluation index system of EDI. by Yuanzhi Guo (16624797)

“…The results show that China’s educational development level continues to increasing from 2003 to 2020, but a significant decrease in its growth rate. In this process, regional differences in education inequality in China have gradually narrowed, which can be confirmed by changes in the Gini coefficient and Theil index. …”

The results of robust tests. by Yuanzhi Guo (16624797)

“…The results show that China’s educational development level continues to increasing from 2003 to 2020, but a significant decrease in its growth rate. In this process, regional differences in education inequality in China have gradually narrowed, which can be confirmed by changes in the Gini coefficient and Theil index. …”

Impact mechanism of influencing factors on EDI. by Yuanzhi Guo (16624797)

“…The results show that China’s educational development level continues to increasing from 2003 to 2020, but a significant decrease in its growth rate. In this process, regional differences in education inequality in China have gradually narrowed, which can be confirmed by changes in the Gini coefficient and Theil index. …”

Demographic structure and Employment categorization. by Nehal Mohamed Eisa (21148787)

Burn out assessment throughout demographic structure of the participant. by Nehal Mohamed Eisa (21148787)

Stack column chart represent Emotional Exhaustion through demographic structure. by Nehal Mohamed Eisa (21148787)

Donut chart shows Demographic structure and Employment categorization. by Nehal Mohamed Eisa (21148787)

Stack column chart represent Depersonalization through demographic structure. by Nehal Mohamed Eisa (21148787)