Variable’s construction. by Sakar Hasan Hamza (20978818)

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Moran’s I across countries. by Sakar Hasan Hamza (20978818)

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Raw dataset. by Sakar Hasan Hamza (20978818)

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Summary of significant single-arm time effect. by Wensheng Xiao (16557866)

Autophagy significantly increases RGCs loss. by Hongmei Qian (538647)

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Autophagy significantly increases RGCs loss. by Hongmei Qian (538647)

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Variation of the most appropriate p value significance threshold with different ratios of the standard deviations and sample sizes. by Farrokh Habibzadeh (12256529)

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The RehaGait® system. by Johanna Rydja (12300797)

“…</p><p>Conclusions</p><p>The patients walked with reduced hip flexion, heel strike angle and toe-off angle, and had shorter strides, decreased velocity, and increased time for swing and single support, compared to HI. …”

Flow chart of included patients and dropouts. by Johanna Rydja (12300797)

“…</p><p>Conclusions</p><p>The patients walked with reduced hip flexion, heel strike angle and toe-off angle, and had shorter strides, decreased velocity, and increased time for swing and single support, compared to HI. …”

Dataset of the analyzed data. by Johanna Rydja (12300797)

“…</p><p>Conclusions</p><p>The patients walked with reduced hip flexion, heel strike angle and toe-off angle, and had shorter strides, decreased velocity, and increased time for swing and single support, compared to HI. …”

Summary of significance levels for comparison of surgical segment ROM between different test groups. by Jia Zhu (135506)

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Analysis of the Nugent score before (T=0) and after (T=1) the use of the vaginal gel. Number of participants and respective percentages of Nugent scores before and after the intervention. A statistically significant decrease in Nugent scores was observed after the intervention (p value =0.0047). by Adriana Bittencourt Campaner (21175462)

“…Number of participants and respective percentages of Nugent scores before and after the intervention. A statistically significant decrease in Nugent scores was observed after the intervention (p value =0.0047).…”

Estimation of influenza transmission and death rates among individuals aged 0–17, 18–64, and 65+ in the United States using actual data. by Shuanglin Jing (11886368)

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Estimation of transmission rates of influenza A and B in the United States using actual data. by Shuanglin Jing (11886368)

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The average transmission rates of different influenza strains. by Shuanglin Jing (11886368)

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Age-structure model fitting based on data for influenza case and deaths from the 40th week of 2023 to the 17th week of 2024 for three age groups in the United States (i.e. 0–17 yea... by Shuanglin Jing (11886368)

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Effective reproduction numbers of influenza in the United States from week 40 to week 17 in 2016–2017, 2017–2018, 2018–2019, 2022–2023, and 2023–2024. by Shuanglin Jing (11886368)

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Multi-strain model fitting based on data for influenza A and B cases from the 40th week of 2023 to the 17th week of 2024 in the United States. by Shuanglin Jing (11886368)

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The average transmission and death rates of each age group. by Shuanglin Jing (11886368)

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The average value of effective reproduction numbers. by Shuanglin Jing (11886368)

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