Multiple linear regression analysis results. by Muxi Chen (9294270)

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Linear contact model. by Qingwen Li (1510687)

“…As the coal gangue replacement rate increases, both the strength and elastic modulus of the specimens decrease. …”

Distribution of the same ingredient across different IDDSI levels (Percentages and frequencies) and statistical significance analysis (Chi-square analysis). by Muxi Chen (9294270)

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Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease)). by Mobina Faqani (22783963)

“…<p>Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease)).…”

Differences in mean number of papers (top) and co-authors (bottom) depending on (1) NI membership and (2) time joined NI. by William C. Barley (8915282)

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Regression estimates and incidence rate ratios from GLMER for number of papers (top) and coauthors (bottom). by William C. Barley (8915282)

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Scatterplot of observed barrier scores against knowledge scores (top) and confidence scores (bottom) with linear line of best fit. by Lisa Thiele (6468056)

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Linear covariate analysis of prognostically significant metabolites.... by Emir Matpan (21655811)

“…<p>Linear covariate analysis of prognostically significant metabolites. …”

Hardness increase across different IDDSI levels and food categories. by Muxi Chen (9294270)

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Distribution of different ingredients at the same IDDSI level (Percentage and frequency) and statistical significance analysis (Chi-square test)^b'*'. by Muxi Chen (9294270)

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Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease). by Mobina Faqani (22783963)

“…<p>Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease).…”

Descriptive characteristics of service utilization by sex and year. by Fernanda Talarico (807333)

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Comparison of mental health-related service utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

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Cohort characteristics. by Fernanda Talarico (807333)

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Trend of specific mental health disorders for all services utilization between 2016 and 2022. by Fernanda Talarico (807333)

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Trend of mental health-related services utilization between 2016 and 2022. by Fernanda Talarico (807333)

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Comparison of mental health-related services utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

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Trend of all service utilization for all conditions between 2016 and 2022. by Fernanda Talarico (807333)

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Intra- and inter-day precision and accuracy. by Ewa Paszkowska (21246702)

“…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”

Linear relationships (Spearman’s r (p-value)) the treatment-induced changes in clinical and neurophysiological data. by Soheila Qanbari (20455173)

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