Schematic illustration of model configuration. by Kunihiro Aoki (11772696)

“…Occurrence probability of crush energy governed by the Boltzmann distribution, <i>p</i>(<i>ε</i>) = <i>e</i>^{−<i>ε</i>/<i>γ</i>}/<i>γ</i>, which exponentially decreases for larger crush energy <i>ε</i>. The e-folding scale is <i>γ</i> and hence the probability of larger crush energy becomes larger as <i>γ</i> increases.…”

Horizontal and Vertical Distribution of Marine Virioplankton: A Basin Scale Investigation Based on a Global Cruise by Yantao Liang (653666)

“…On a large-spatial-scale, viruses displayed significant relationships with both heterotrophic and autotrophic picoplankton abundance, suggesting that viral distribution is dependent on their host cell abundance. …”

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)

Severe obesity trends over time by race/ethnicity. by Kira L. Argenio (18563302)

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). …”

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.…”

Morphological analysis of GV-stage oocytes after vitrification and warming. by Lu Wang (45927)

Simplified scheme illustrating the inhibitory effect of nNOS on the PPP during the initiation of GSIS. by Ingmar Lundquist (46422)

A Randomised Placebo-Controlled Trial of a Traditional Chinese Herbal Formula in the Treatment of Primary Dysmenorrhoea by Lan Lan Liang Yeh (33527)

“…The finding of statistically significant pain-reducing effect in the first follow-up cycle was unexpected and warrants further study. A larger similar trial among primary dysmenorrheic young women with longer treatment phase and multiple batched study products can determine the definitive efficacy of this historically documented formula.…”