Seasonal variation in lake chl-a trends (1997–2020). by Benjamin M. Kraemer (7526225)

Large Decreases in Tailpipe Criteria Pollutant Emissions from the U.S. Light-Duty Vehicle Fleet Expected in 2020–2040 by Rachael H. Dolan (17918706)

“…Reductions in CO₂ emissions follow a similar pattern. Large decreases in criteria pollutant and CO₂ emissions from light duty vehicles lie ahead.…”

Large Decreases in Tailpipe Criteria Pollutant Emissions from the U.S. Light-Duty Vehicle Fleet Expected in 2020–2040 by Rachael H. Dolan (17918706)

“…Reductions in CO₂ emissions follow a similar pattern. Large decreases in criteria pollutant and CO₂ emissions from light duty vehicles lie ahead.…”

The flowchart of the large model for font style transfer. by Weijia Zhu (65481)

Knock-out of Super Elongation Complex members does not decrease HIV-1 infection in primary CD4+ T cells. by William J. Cisneros (19648566)

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.…”

The time series depicts cases in which the period length remains relatively constant despite increasing reaction rates in the circadian clock model (A: reference set case, B: incre... by Shingo Gibo (21762920)

“…<p>Additionally, synchronization regions for these cases are presented (C: reference set case, D: increased reaction rates case). …”

Absence of haptoglobin increase in the first 34 weeks of 2020 in the US cohort. by Thierry Poynard (38084)

<i>TP53</i> mutated cases in the ACC-TCGA dataset showed increased mRNA expression involved in the M phase. by Akira Ikeya (8707968)

Acute phase protein concentrations with increasing viral load. by Katie L. Edwards (6808013)

Subjects:

Reduced contact tracing efficiency with increasing cases leads to accelerating epidemics. by Billy J. Gardner (10988034)

“…R₀ is the same value as in panels D and E (R₀ = 1.35), but R_t increases as cases increase and contact tracing becomes inefficient, which overwhelms the decrease in the fraction of the population that is susceptible. …”

The COVID-19 pandemic affects seasonality with increasing cases of new-onset type 1 diabetes in children from the worldwide SWEET registry by Felix Reschke (13532003)

“…<p>  </p> <p><strong>Aims: </strong>To analyze whether the COVID-19 pandemic increased the number of cases or impacted seasonality of new-onset type 1 diabetes (T1D) in large pediatric diabetes centers globally. …”

The numerical solution of model (1) for infected compartment vs. time with different scenarios of Phase 3 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 2; 10^<i>th</i> scenario, <i>ρ</i> is the same as in Phase 2 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 3 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 2; 10^<i>th</i> scenario, <i>ρ</i> is the same as in Phase 2 while <i>SD</i> increases.…”

The numerical solution of model (1) for infected compartment vs. time with different scenarios of Phase 6 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 5; 10^<i>th</i> scenario, <i>ρ</i> is the same as in Phase 5 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 6 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 5; 10^<i>th</i> scenario, <i>ρ</i> is the same as in Phase 5 while <i>SD</i> increases.…”

Large direct shear test system. by Changbo Du (14014481)

Chart summarizing the key components of the present study. by Jakub Köry (17980273)

Entropy analysis for the large data set including the GST dataset. by Aleksi Sutinen (10039145)

Estimated reduction in dengue incidence with increasing <i>w</i>Mel prevalence in <i>Aedes aegypti</i> populations in Niterói neighbourhoods–sensitivity analysis. by Sofia B. Pinto (11114099)

Analysing perfusion response. by Jakub Köry (17980273)

The orthogonal projection to latent structure discriminant analysis (OPLS-DA) analysis of the three groups (OC vs HC, OC vs RC and RC vs HC) of the discovery cohort. by Feng Gao (3548)