Data Sheet 2_N6-methyladenosine RNA landscape in the aged mouse hearts.zip by Xia Jing (3255219)

“…Among these genes, EFEMP1 was significantly upregulated in aged hearts, accompanied by enhanced m6A modification. …”

Data Sheet 3_N6-methyladenosine RNA landscape in the aged mouse hearts.zip by Xia Jing (3255219)

“…Among these genes, EFEMP1 was significantly upregulated in aged hearts, accompanied by enhanced m6A modification. …”

Data Sheet 4_N6-methyladenosine RNA landscape in the aged mouse hearts.pdf by Xia Jing (3255219)

“…Among these genes, EFEMP1 was significantly upregulated in aged hearts, accompanied by enhanced m6A modification. …”

Data Sheet 1_Identification of the malonylation modification in Staphylococcus aureus and insight into the regulators in biofilm formation.xlsx by Xiaoyan Yu (319080)

“…In particular, the response regulator, AgrA, showed decreased expression but increased malonylation at the K2, K11, and K216 sites during S. aureus biofilm formation, suggesting functional compensation. …”

Data Sheet 3_Identification of the malonylation modification in Staphylococcus aureus and insight into the regulators in biofilm formation.pdf by Xiaoyan Yu (319080)

“…In particular, the response regulator, AgrA, showed decreased expression but increased malonylation at the K2, K11, and K216 sites during S. aureus biofilm formation, suggesting functional compensation. …”

Data Sheet 2_Identification of the malonylation modification in Staphylococcus aureus and insight into the regulators in biofilm formation.xlsx by Xiaoyan Yu (319080)

“…In particular, the response regulator, AgrA, showed decreased expression but increased malonylation at the K2, K11, and K216 sites during S. aureus biofilm formation, suggesting functional compensation. …”

Graph of successive trends in the burden of injury caused by fire, heat and hot substances between 1990 and 2021. by Shi Huang (125861)

Predictions of Age-Standardized Rate of burden caused by fire, heat and hot substances for different sexes in 2030 based on the Bayesian Age-Period-Cohort model. by Shi Huang (125861)

Age-Standardized Rate of injuries caused by fire, heat and hot substances in 22 GBD regions with varying Social-Demographic Index globally from 1990 to 2021. by Shi Huang (125861)

Image 1_Elevated thiamine level is associated with activating interaction between HIF-1α and SLC19A3 in experimental myopic guinea pigs.jpeg by Zhongyu Ma (12275357)

“…</p>Results<p>Compared with the normal control (NC) group, the LIM group guinea pigs showed a significant increase in axial length and decrease in refractive error, as well as a thinning of choroidal thickness and loosening of tissue structure. …”

A conceptual framework illustrating the role of community safe spaces in overcoming structural violence. by Patrick Mbullo Owuor (20776036)

Association of characteristics of the respondents with HPV vaccine acceptance. by Mohammad Delwer Hossain Hawlader (11558838)

Subjects: “…considered statistically significant…”

Dataset used to generate figures, tables, and statistics. by Mohammad Delwer Hossain Hawlader (11558838)

Subjects: “…considered statistically significant…”

Distribution of responses to health belief model-related questions (n = 2,151). by Mohammad Delwer Hossain Hawlader (11558838)

Subjects: “…considered statistically significant…”

Model diagnostics for old death events. by Xin Zhang (35492)

“…Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. …”

Model diagnostics for adult death events. by Xin Zhang (35492)

“…Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. …”

Model diagnostics for child death events. by Xin Zhang (35492)

“…Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. …”

Model diagnostics for all death events. by Xin Zhang (35492)

“…Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. …”

Model diagnostics for female death events. by Xin Zhang (35492)

“…Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. …”

Model diagnostics for male death events. by Xin Zhang (35492)

“…Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. …”