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)

Species occurrence along the NO₃¯ gradient (sorted by decreasing 25th percentile values). by Willem Kaijser (12872371)

WT host survival decreased with STAT6 KO-adapted <i>N</i>. <i>brasiliensis</i> infection. by Annabel A. Ferguson (17616286)

<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:

Repeated exposure to nanosecond high power pulsed microwaves increases cancer incidence in rat by René de Seze (574047)

“…With acute exposure, an avoidance reflex was shown at very high thermal level (22 W kg^-1); GFAP was increased some days after exposure. …”

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.…”

Percent distribution of enteric pathogens isolated from DDSS-enrolled patients treated at icddr,b Dhaka Hospital during the epidemic (cases) and the comparison period (controls) by... by S. M. Tafsir Hasan (5146871)

Subjects:

Analysing perfusion response. by Jakub Köry (17980273)

Study variables. by Amit Timilsina (15203538)

“…We employed a logit model on the geo-linked NDHS datasets to compute the marginal effect of forest cover on ARI, diarrhoea, and fever.</p><p>Results</p><p>From 2011 to 2016, the prevalence of fever increased from 18% to 20%, while the prevalence of diarrhoea decreased from 14% to 7%, and ARI prevalence decreased from 5% to 3%. …”

Descriptive statistics. by Amit Timilsina (15203538)

“…We employed a logit model on the geo-linked NDHS datasets to compute the marginal effect of forest cover on ARI, diarrhoea, and fever.</p><p>Results</p><p>From 2011 to 2016, the prevalence of fever increased from 18% to 20%, while the prevalence of diarrhoea decreased from 14% to 7%, and ARI prevalence decreased from 5% to 3%. …”

Network resistance. by Jakub Köry (17980273)

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)

Large <i>Bgl-</i>FaNaC neurons labeled with HCR <i>in situ</i> hybridization. by Laura C. Vicente-Rodríguez (16437803)

Video1_Case Report: Three-dimensional printed prosthesis reconstruction for patello-femoral large osteochondral defects in a patient with distal femoral giant cell tumour: A case r... by Dechao Yuan (12995895)

DataSheet1_Remote sensing modeling of environmental influences on lake fish resources by machine learning: A practice in the largest freshwater lake of China.docx by Tan Chen (571832)