Kaplan-Meier Survival Curve of four 3-Categorical Variables: (a) Survival Curve by Forced Stop Count Groups; (b) Survival Curve by Cumulative Forced Stop Duration Groups; (c) Survi... by Fangyi Yang (18867853)

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Spatio-Temporal Diagram of Vehicle Trajectory in FIFO System. by Fangyi Yang (18867853)

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Kaplan-Meier Survival Curve of Forced Stop Duration. by Fangyi Yang (18867853)

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Out-of-sample Test Results of the Drop-off Decision Models: (a) ROC Curve of the First Forced Drop-off Decision Models; (b) ROC Curve for Second and More Forced Parking and Drop-of... by Fangyi Yang (18867853)

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Axial length changes after one week of wearing orthokeratology lenses. by Zhao-Yang Meng (18389630)

Excluded skewed studies. by Solima Sabeel (9545738)

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Reason for exclusion of all 6514 screened articles. by Solima Sabeel (9545738)

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Methodological items for non-randomized studies (MINORS). by Solima Sabeel (9545738)

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Jadad Score of randomized controlled trials. by Solima Sabeel (9545738)

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Summary of randomized controlled trials. by Solima Sabeel (9545738)

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Overall analysis of randomized controlled trials. by Solima Sabeel (9545738)

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Summary table showing analysis of randomized controlled trials stratified based on age groups. by Solima Sabeel (9545738)

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Meta-analysis showing the overall effect of different statin types versus placebo for by Solima Sabeel (9545738)

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Version 2 of the Cochrane risk-of-bias tool for randomized controlled trials. by Solima Sabeel (9545738)

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Analysis of randomized controlled trials stratified based on treatment duration. by Solima Sabeel (9545738)

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Funnel plots of studies included in the meta-analysis assessing by Solima Sabeel (9545738)

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Summary of non-randomized studies. by Solima Sabeel (9545738)

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PRISMA flow diagram of the systematic literature search process. by Solima Sabeel (9545738)

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Newcastle-Ottawa scale. by Solima Sabeel (9545738)

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Detailed information of the observation datasets. by Weidong Ji (129916)

“…Generally speaking, there is no clear linear relationship between scores and the other variables. On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”