Drinking Behaviors of the male participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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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)

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Frontier Analysis: Countries with high potential for improvement in the burden of injuries caused by fire, heat, and hot substances in 2021. by Shi Huang (125861)

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Drinking Behaviors of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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Sleep and Mental health of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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The burden forecast of injuries caused by fire, heat, and hot substances for 2021–2030. by Shi Huang (125861)

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General characteristics of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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The burden of injuries caused by fire, heat and hot substances in female and male across 22 GBD regions. by Shi Huang (125861)

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Burden of injuries caused by fire, heat, and substances in Disability-Adjusted Life Years, Years of Life Lost and Years Lived with Disability between 1990 and 2021. by Shi Huang (125861)

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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)

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Frontier analysis of injuries’ burden caused by fire, heat, and hot substances from 1990 to 2021. by Shi Huang (125861)

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Difference in drinking, smoking, and suicidal ideation by year. by Jae Yeon Jeong (11979030)

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

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Drinking Behaviors of the female participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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Burden of injuries caused by fire, heat, and substances in Incidence, Prevalence and Death between 1990 and 2021. by Shi Huang (125861)

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Number of positive ptosis and/or strabismus cases analysing each type of surgery or combination of surgeries separately. by Carlo Catti (22530186)

VDR SNPs, their minor allele frequencies, and HWE P-values in cases and controls. by Laith AL-Eitan (6841382)

Sociodemographic characteristics of the sample. by Senay Yildirim-Kahriman (22693464)

“…Statistical analyses included descriptive statistics, Spearman’s correlation, and multiple linear regression. Participants demonstrated significantly higher awareness of scientifically established cancer causes (70.7%) compared to mythical ones (10.2%). …”

Means scores of CAM and CAM-MYCS. by Senay Yildirim-Kahriman (22693464)

“…Statistical analyses included descriptive statistics, Spearman’s correlation, and multiple linear regression. Participants demonstrated significantly higher awareness of scientifically established cancer causes (70.7%) compared to mythical ones (10.2%). …”

Decomposition analysis of gastric cancer burden in Taiwan, stratified by gender. (A) Incidence. (B) Prevalence. (C) Mortality. (D) DALYs. Positive values on the X-axis indicate an... by Xiaohuang Yang (10182727)

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