Day factor dummy variable. by Zhendong Sun (4723221)

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Survival curve of parking duration on different days. by Zhendong Sun (4723221)

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Desensitized original data. by Zhendong Sun (4723221)

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Vehicle arrival timing on short holidays. by Zhendong Sun (4723221)

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Survival curve of parking duration in different weather. by Zhendong Sun (4723221)

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Cox survival function curve. by Zhendong Sun (4723221)

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Data sample example. by Zhendong Sun (4723221)

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Average Vehicle Arrival Time on Weekdays for a Month. by Zhendong Sun (4723221)

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The PL estimation result. by Zhendong Sun (4723221)

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Cox regression analysis results. by Zhendong Sun (4723221)

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Variable attributes. by Zhendong Sun (4723221)

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Decrease of muscle weakness and degeneration with mutants of UPS components. by Cécile Ribot (11944875)

Predicted change in wine sold (% (95% CI)) after removing the largest serving sizes by the glass, derived from the generalised additive linear mixed model. by Eleni Mantzari (6991172)

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Distribution of <i>Leishmania</i> species according to the place of transmission from 1998 to 2020). by Grégoire Pasquier (3317223)

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Fig 1 - by Bushra Gul (12969345)

Largest twenty coefficients by absolute value as defined by logistic regression. by Roshan Karri (11060943)

Data_Sheet_1_Stroke care during the COVID-19 pandemic: Case numbers, treatments, and mortality in two large German stroke registries.PDF by Alicia Brunssen (13136349)

“…</p>Conclusion<p>Case numbers slightly decreased under pandemic conditions, while our quarterly analysis indicated that the quality of stroke care was largely unchanged throughout the year 2020.…”

Data_Sheet_1_Stroke care during the COVID-19 pandemic: Case numbers, treatments, and mortality in two large German stroke registries.PDF by Alicia Brunssen (13136349)

“…</p>Conclusion<p>Case numbers slightly decreased under pandemic conditions, while our quarterly analysis indicated that the quality of stroke care was largely unchanged throughout the year 2020.…”

Average effect size decreased as sample size increased for all types of analyses (<i>p</i> < .001). by Luke J. Ney (12621627)

The numerical solution of model (1) for infected compartment vs. time with different scenarios of Phase 2 in the First Case: 1^<i>st</i> scenario, no lockdown is implemented; 2^<i>nd</i> scenario, no lockdown while <i>SD</i> increases; 3^<i>rd</i> scenario, lockdown increases; 4^<i>th</i> scenario, <i>SD</i> increases; 5^<i>th</i> scenario, lockdown decreases; 6^<i>th</i> scenario, <i>SD</i> decreases; 7^<i>th</i> scenario, lockdown and <i>SD</i> increases; 8^<i>th</i> scenario, lockdown decreases and <i>SD</i> increases; 9^<i>th</i> scenario, <i>ρ</i> is the same as in Phase 1; 10^<i>th</i> scenario, <i>ρ</i> is the same as in Phase 1 while <i>SD</i> increases; 11^<i>th</i> scenario, <i>ρ</i> = 0.75 in all Phase 2; 12^<i>th</i> scenario, <i>ρ</i> = 0.75 while <i>SD</i> increases. by Sara K. Al-Harbi (12418482)

“…<p>The numerical solution of model <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0265779#pone.0265779.e002" target="_blank">(1)</a> for infected compartment vs. time with different scenarios of Phase 2 in the First Case: 1^<i>st</i> scenario, no lockdown is implemented; 2^<i>nd</i> scenario, no lockdown while <i>SD</i> increases; 3^<i>rd</i> scenario, lockdown increases; 4^<i>th</i> scenario, <i>SD</i> increases; 5^<i>th</i> scenario, lockdown decreases; 6^<i>th</i> scenario, <i>SD</i> decreases; 7^<i>th</i> scenario, lockdown and <i>SD</i> increases; 8^<i>th</i> scenario, lockdown decreases and <i>SD</i> increases; 9^<i>th</i> scenario, <i>ρ</i> is the same as in Phase 1; 10^<i>th</i> scenario, <i>ρ</i> is the same as in Phase 1 while <i>SD</i> increases; 11^<i>th</i> scenario, <i>ρ</i> = 0.75 in all Phase 2; 12^<i>th</i> scenario, <i>ρ</i> = 0.75 while <i>SD</i> increases.…”