Effect of each software transition and any hardware transition on daily active calories (negative binomial models with a random intercept per participant) among participants with a... by Shelby L. Sturrock (10751675)

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Effect of each software transition and any hardware transition on daily minutes of exercise (negative binomial models with a random intercept per participant) among participants wi... by Shelby L. Sturrock (10751675)

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Average difference in mean daily exercise minutes in the week before and the week after transitioning between the indicated software versions. by Shelby L. Sturrock (10751675)

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Newly occurring LTSA-MD cases in workers for over a month. by Yasuhiko Deguchi (3167955)

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Average difference in mean daily active calories in the week before and after the specified software transition, using different minimum data thresholds. by Shelby L. Sturrock (10751675)

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Average difference in mean daily active calories in the week before and the week after transitioning between the indicated software versions. by Shelby L. Sturrock (10751675)

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Difference in the number of LTSA between FY 2020 and FY 2019. by Yasuhiko Deguchi (3167955)

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Participant characteristics, overall and for each transition, of primary analytic sample (activity data for all 14 days of the respective transition period). by Shelby L. Sturrock (10751675)

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BMI curve for LSES. by Krystal Hunter (6820052)

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BMI groups by SES. by Krystal Hunter (6820052)

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BMISES_Data_Part2. by Krystal Hunter (6820052)

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Logistic regression for LSES population. by Krystal Hunter (6820052)

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Logistic regression for HSES population. by Krystal Hunter (6820052)

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Logistic regression for overall population. by Krystal Hunter (6820052)

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BMISES_Data_Part1. by Krystal Hunter (6820052)

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Baseline characteristics of HSES/LSES population. by Krystal Hunter (6820052)

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Baseline characteristics of overall population. by Krystal Hunter (6820052)

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Diagram of study population. by Krystal Hunter (6820052)

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Table 1_Integrative bioinformatics analysis of pyroptosis-related genes and immune infiltration patterns in childhood asthma.xlsx by Di Lian (11639675)

“…</p>Results<p>Immune cell infiltration analysis using the CIBERSORT algorithm revealed significant differences between the CA and control groups, with increased macrophages M0, activated mast cells, and γδ T cells and decreased resting natural killer cells in the CA group. …”

Table 6_Integrative bioinformatics analysis of pyroptosis-related genes and immune infiltration patterns in childhood asthma.xlsx by Di Lian (11639675)

“…</p>Results<p>Immune cell infiltration analysis using the CIBERSORT algorithm revealed significant differences between the CA and control groups, with increased macrophages M0, activated mast cells, and γδ T cells and decreased resting natural killer cells in the CA group. …”