Selexipag: An Oral and Selective IP Prostacyclin Receptor Agonist for the Treatment of Pulmonary Arterial Hypertension by Tetsuo Asaki (1366140)

“…Metabolic stability and agonist potency were optimized through modification of the linear side chain. Compound <b>12b</b> (MRE-269, ACT-333679) was identified as a potent and highly selective prostacyclin receptor agonist. …”

Selexipag: An Oral and Selective IP Prostacyclin Receptor Agonist for the Treatment of Pulmonary Arterial Hypertension by Tetsuo Asaki (1366140)

“…Metabolic stability and agonist potency were optimized through modification of the linear side chain. Compound <b>12b</b> (MRE-269, ACT-333679) was identified as a potent and highly selective prostacyclin receptor agonist. …”

Infectiousness profiles of SARS-CoV-1 and SARS-CoV-2. by Matteo Serafino (11599593)

Supplementary Material for: Cost Savings Using a Protocol Approach to Manage Anemia in a Hemodialysis Unit by Charlesworth E.C. (4146268)

“…The mean monthly IV iron dose also decreased from 139.56 ± 98.83 to 97.65 ± 79.05 mg (p < 0.005), a cost savings of USD 18,594 over the same time period. …”

BMI groups by SES. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

BMISES_Data_Part2. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Logistic regression for LSES population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Logistic regression for HSES population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Logistic regression for overall population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

BMISES_Data_Part1. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Baseline characteristics of HSES/LSES population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Baseline characteristics of overall population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Diagram of study population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Weak links and k-cores. by Matteo Serafino (11599593)

Description of key variables. by Mweete D. Nglazi (19923804)

“…Spending on all food categories was regressive in 2005/06 (<i>K</i> = -0.173 for UPF and -0.425 for processed foods) and 2010/11 (<i>K</i> = -0.192 for UPF and -0.418 for processed foods) because such spending comprises a larger share of poorer household’s income than their wealthier counterparts. …”

Timeline of the prospective study protocol. by Alexander Runkel (17319586)

“…Thus, the participation and support of a wider group of oncologic surgeons are needed to validate these findings on a larger patient cohort.…”

On a steepening environmental gradient, a sharp and stable range margin forms near the expansion threshold. by Jitka Polechová (5400749)

“…The median is given over the neutral spatial axis Y (with constant optimum); the trait mean, the population trait mean, variance, and population density in two-dimensional space is shown in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.2005372#pbio.2005372.s003" target="_blank">S3 Fig</a>, which also lists all the parameters.…”

Intracranial Pressure in VEEV-infected NHPs. by Henry Ma (6077057)

Effect of <i>P</i>. <i>lilacinum</i> on fecundity and fertility of <i>Ceratits capitata</i>. by Wafa Djobbi (5180810)

Transcripts with increased translation efficiency during GSC to DGC transition have a significant loss in m6A methylation. by John P. Zepecki (10271291)

“…Crosses represent mean values. E) GSC1: Transcript m6A loss binning correlated with change in TE, vertical blue line indicates median change in TE rank, vertical red line demarcates the top 30% change in TE ranks, horizontal blue lines represent average m6A peak loss across all peaks. …”