Paroxysmal tachycardia-related age-adjusted mortality rates per 100,000 in adults in the metropolitan and non-metropolitan areas in the United States, 1999 to 2020. by Aman Goyal (19231397)

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Supporting information – data for plots. by Maria Nadinskaia (22662419)

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Summary of measured parameters. by Aaron L. Sayler (19797446)

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Morphometric analysis of histological slides in sarcopenia modeling by portal vein ligation and pyloric vein ligation. by Maria Nadinskaia (22662419)

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Effect of <i>slc43a3</i> deletion on metabolic performance parameters in male and female WT and KO mice. by Aaron L. Sayler (19797446)

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Raw data. by Aaron L. Sayler (19797446)

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Paroxysmal tachycardia-related age-adjusted mortality rates per 100,000, stratified by race in adults in the United States, 1999 to 2020. by Aman Goyal (19231397)

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Paroxysmal tachycardia-related age-adjusted mortality rates per 100,000, stratified by age groups in adults in the United States, 1999 to 2020. by Aman Goyal (19231397)

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Liver and spleen mass in sarcopenia-hyperammonemia modelling on Day 30. by Maria Nadinskaia (22662419)

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Paroxysmal tachycardia-related deaths and age-adjusted mortality rates per 100,000, stratified by state in adults in the United States, 1999 to 2020. by Aman Goyal (19231397)

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Distribution of Pre-existing Medical Conditions. by Sepideh Hejazi (16227860)

“…</p><p>Results</p><p>Initial clinical presentations differed significantly, eneralized Estimating Equations (GEE) analysis, adjusted for comorbidities, revealed COVID-19 history was associated with increased platelet counts <i>(P</i> = 0.0311) and decreased facial swelling <i>(P</i> = 0.049) and fever symptom reporting <i>(P</i> < 0.001). …”

Time series comparing trends at HSJ and control hospitals in the pre-intervention and intervention period. Significance test determine if trends differ between groups. by Eva Rydahl (6260771)

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

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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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