Increases in alert level and improved border measures resulted in decreases in secondary transmissions. by Alex James (2916851)

Effect of parameter <i>a</i> on the model equations by increasing and decreasing value of <i>a</i> to 25%. by Shakoor Ahmad (168711)

“…<p><b>(a)</b> By increasing the value ‘<i>a</i>’ from 0.107 to 0.134. <b>(b)</b> By decreasing the value ‘<i>a</i>’ from 0.107 to 0.08.…”

Simulated estimates of number of silicosis cases and annual tuberculosis (TB) cases at cumulative RCS distributions of increasing mean values. by Patrick Howlett (2612374)

“…Variables in the model are held constant, unless otherwise stated, at values of: a baseline silicosis prevalence of 2%, an increased odds of 1.3 of silicosis per 1 mg/m³-year increase in RCS exposure, a baseline TB incidence of 200 cases per 100,000 per year, an increased odds of 1.05 of TB per 1 mg/m³-year increase in RCS exposure, an increased odds of TB of 4x in those with silicosis, a randomly distributed baseline prevalence of HIV of 2% and an increased odds of TB of 4x in those with HIV. …”

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

Forecasts of cancer patients’ medical use (cancer type/cases). by Jinah Sim (15140709)

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Forecasts of cancer patients’ medical use (cancer type/cases). by Jinah Sim (15140709)

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Forecasts of cancer patients’ medical use (age/admission cases). by Jinah Sim (15140709)

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The number of expected vaccinations decreases with the expected vaccination time, whereas the peak of infections increases. by Simon K. Schnyder (16632244)

“…Brighter colours indicate higher 〈<i>s</i>(<i>t</i>_<i>v</i>)〉. Note the nonlinear increase of <i>n</i> on the y-axis. C) Relatedly, we show the peak of infections max_<i>t</i>(<i>i</i>(<i>t</i>)) as a heat map as function of the expected vaccination time 〈<i>t</i>_<i>v</i>〉 for the same range of vaccine arrival distributions <i>p</i>_<i>n</i> as in B). …”

Impact of large choroidal vessels (LCV) and topographical orientation on percentage of flow deficit (FD%) values. by Valentin Hacker (9956024)

Forecasts of cancer patients’ medical use and expenditure (income/admission cases). by Jinah Sim (15140709)

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Forecasts of cancer patients’ medical use and expenditure (income/outpatient cases). by Jinah Sim (15140709)

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GO analysis of stage-salient genes in the order of decreasing significance (i.e, increasing p–value). by Sangeetha Muthamilselvan (8966006)

“…<p>GO analysis of stage-salient genes in the order of decreasing significance (i.e, increasing p–value).</p>…”

Population infected in case of increase in susceptibility. by Juliano Genari (13794299)

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Shows for fifty representative countries the predicted regression of the reciprocal of the rate of increase of the log of confirmed cases (CT^-1) vs the median minimal te... by Adam Kaplin (10156481)

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Parameters values for the baseline scenario correspond to the posterior median value <i>β</i>_<i>base</i> = 0.31, <i>ω</i>_<i>base</i> = 0.12, λ<sub><i>v</i>1</... by Maria L. Daza–Torres (12568896)

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

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Covid-19 case rate by taxi zones. by Yanan Zhang (1322391)

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Covid-19 case rate by taxi zones. by Yanan Zhang (1322391)

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FlexPepDock <i>ab-initio</i> recapitulates the native backbone structure of a glycosylated peptide and its unmodified counterpart, and correctly predicts a decrease in binding affi... by Nathaniel Bloodworth (14253329)

Expression of NFATc1 is decreased in <i>Tcirg1</i>-knockdown osteoclasts. by Dongyan Zhang (640677)