Yearly GDP, HIPC and HEPC per capita (All in current MYR). by Ridzuan Kunji Koya (20234865)

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Affordability calculation using conventional method (2000RIP). by Ridzuan Kunji Koya (20234865)

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RIP in urban areas. by Ridzuan Kunji Koya (20234865)

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RIP in rural areas. by Ridzuan Kunji Koya (20234865)

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Raw data file. by Ridzuan Kunji Koya (20234865)

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Nomenclature of the different versions of the RIP. by Ridzuan Kunji Koya (20234865)

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(A) The circadian clock model and (B) the relevance of waveform characteristics to temperature compensation (<i>magenta</i>) and synchronization (<i>cyan</i>). by Shingo Gibo (21762920)

“…Assuming that the parameters <i>k</i>₁, <i>k</i>₂, <i>k</i>₃, <i>p</i>₁, <i>p</i>₂, and <i>r</i> increase with increasing temperature, we model the reactions rates using the Arrhenius law , where <i>b</i>_<i>i</i>, <i>E</i>_<i>i</i>, <i>A</i>_<i>i</i>, <i>R</i>, and <i>T</i> are the rate constants, activation energies, frequency factors, gas constant (<i>R</i> = 8.314), and absolute temperature, respectively. …”

Success rate of case I. by Jingguo Bi (21439766)

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Case study 1. by Ayesha Kiran (9727681)

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Case study 2. by Ayesha Kiran (9727681)

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Summary of type 2 errors by type of case (all cases, complex, simple), participant type (all, trainee, experienced), and p values. by Michelle Noga (3637138)

Reliability and percent differences for cortical thickness (CT). by Evelyn Medawar (9774392)

Case. by Ki Young Lee (3808507)

Results of CT body composition analysis in patients with pancreatic cancer (n = 117). by Ekaterina Khristenko (17847064)

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Increase in probability of cases (cancer) with the presence of causal-based biomarkers as a function of <i>K</i> with 10% confidence interval. by Divyagna Bavikadi (21526214)

“…<p>Increase in probability of cases (cancer) with the presence of causal-based biomarkers as a function of <i>K</i> with 10% confidence interval.…”

Uncomplicated Pf malaria cases in populations at increased risk of sub-optimal dosing by country and region. by Abena Takyi (17537340)

Prolonged exposure to laboratory animals is associated with increasing asthma cases by Christian S. Simoneti (10397901)

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

CT slice and lung segmentation / masking (animal 2). by Fabio De Marco (5797991)

The numerical solution of model (1) for infected compartment vs. time with different scenarios of Phase 1 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. 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 1 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.…”