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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An infographic outlining the data used for each analysis. by Shelby L. Sturrock (10751675)

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

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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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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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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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<i>CTSZ</i> SNPs significantly associated with TB severity in Ugandan household contact study cohorts, sorted by ascending <i>p</i>-value. by Rachel K. Meade (22216529)

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Molecular Insights into the Crystallization of 4’-Hydroxyacetophenone from Water: Solute Aggregation, Liquid–Liquid Phase Separation, and Polymorph Selection by Carlos E. S. Bernardes (7183481)

“…Analysis of the solution properties before the onset of LLPS revealed that, in the HAP mole fraction range <i>x</i>_HAP < 0.004 (Zone I), where hydrate H2 ultimately crystallizes, small, solvated clusters are initially present in solution, which remain approximately invariant in size, shape, and HAP/H₂O proportion as the temperature decreases. …”

Molecular Insights into the Crystallization of 4’-Hydroxyacetophenone from Water: Solute Aggregation, Liquid–Liquid Phase Separation, and Polymorph Selection by Carlos E. S. Bernardes (7183481)

“…Analysis of the solution properties before the onset of LLPS revealed that, in the HAP mole fraction range <i>x</i>_HAP < 0.004 (Zone I), where hydrate H2 ultimately crystallizes, small, solvated clusters are initially present in solution, which remain approximately invariant in size, shape, and HAP/H₂O proportion as the temperature decreases. …”

Molecular Insights into the Crystallization of 4’-Hydroxyacetophenone from Water: Solute Aggregation, Liquid–Liquid Phase Separation, and Polymorph Selection by Carlos E. S. Bernardes (7183481)

“…Analysis of the solution properties before the onset of LLPS revealed that, in the HAP mole fraction range <i>x</i>_HAP < 0.004 (Zone I), where hydrate H2 ultimately crystallizes, small, solvated clusters are initially present in solution, which remain approximately invariant in size, shape, and HAP/H₂O proportion as the temperature decreases. …”