Yearly crude rates normalized by their 1999 value. by Tony Wong (779773)

HRV parameters at different time points. by Shiying Liu (1569478)

Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically significance values. by Oswaldo Maillard (20660661)

All data points from Fig 2. by Sara Hijazi (21656615)

All data points from Fig 5. by Sara Hijazi (21656615)

All data points from Fig 8. by Sara Hijazi (21656615)

All data points from Fig 3. by Sara Hijazi (21656615)

All data points from Fig 1. by Sara Hijazi (21656615)

All data points from Fig 4. by Sara Hijazi (21656615)

All data points from Fig 9. by Sara Hijazi (21656615)

All data points from Fig 7. by Sara Hijazi (21656615)

All data points from Fig 6. by Sara Hijazi (21656615)

Predictive value of RVT1 for the decreased RV ejection fraction (RVEF) and poor outcome in pulmonary arterial hypertension (PAH). by Ryotaro Asano (11767131)

“…Survival rates from events including composite outcomes of death and all hospitalizations, and death and hospitalization due to right heart failure, and each event were significantly reduced in patients with higher RVT1. Abbreviations: AUC, area under the curve; CMR, cardiovascular magnetic resonance; RHC, right heart catheterization; RHF, right heart failure; RVEF, right ventricular ejection fraction; RVT1, native T1 values of the right ventricular free wall.…”

Distribution of stable carbon and nitrogen values for pPOM and sPOM. by Nathan D. McTigue (10706460)

Subjects:

Absolute values of our five metrics for increasing levels of fibrosis, fully fibrotic simulation. by Åshild Telle (22794721)

F values and corresponding significance level (p values) after ANOVA test for physicochemical parameters, nutrients and antioxidants. by Abdullahi Bala Alhassan (10966065)

Subjects:

Table indicating whether a risk factor showed a significant association with complicated grief for any time point in the study. by Emma A. M. Sanderson (12225310)

Moderate increases to viral infectivity are not predicted to significantly impact immunological outcomes. by Adrianne L. Jenner (11133854)

“…<p>A range of viral infectivity rates (<i>β</i>) from 0% (base) to 50% increase were simulated. All other parameters were fixed to their value in <a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1009753#ppat.1009753.s014" target="_blank">S1 Table</a>. …”

The values used to build graphs. by Guihai Gao (21594002)

“…The feasibility of the formula is verified by comparing the research results of this paper with the existing theoretical and experimental values. It is found that in the process of changing from non-limit passive state to non-limit active state, the thrust of wall gradually decreases nonlinearly, and the position of the acting point of resultant force gradually increases nonlinearly, and both the change ranges are positively correlated with the internal friction angle. …”

Results mixed effects model with random effects. The estimate (or coefficient) provides the expected effect of the predictor. T-statistics and p-value assess whether this effect is... by Sergio A. Lemus (14307633)