Univariate comparison of clinical signs or symptoms between influenza-positive and influenza-negative cases.

<p>Symptoms or signs are ranked by frequency for non-influenza cases. Empirical frequencies of presentation of each symptom or sign are presented in the right column as bars, with 95% confidence intervals represented by whiskers. Symptoms or signs that are statistically discernibly different at the 5% level are displayed in bold font. With 21 tests, the conservative expected number of false discoveries is 1.1.</p

Utility of the predictive probability equation as a clinical diagnostic model in this study under 10-fold cross-validation compared with commonly used ILI criteria (for which no cross-validation is needed).

<p>Utility of the predictive probability equation as a clinical diagnostic model in this study under 10-fold cross-validation compared with commonly used ILI criteria (for which no cross-validation is needed).</p

Multivariate analysis comparing clinical features of influenza-positive with all influenza-negative FRI cases.

<p>*Age, sore throat, running nose, sore eyes or eye pain, chills/rigors, photophobia, Fever ≥37.8°C, Fever ≥38.0°C, and injected pharynx were included in the analysis before non-significant terms were sequentially removed. With nine tests, the conservative expected number of false discoveries is 0.45</p

Version control.

Public and private version control organizations on GitHub and GitLab for CyVerse Software, Public Container Registry, and Education. (PDF)</p

University of Arizona hardware.

On-premises resources maintained by CyVerse at the University of Arizona. DE = Discovery Environment, VICE = Virtual Interactive Compute Environment. (PDF)</p

Demographics registered users’ research area (A), occupation (B), and genders (C).

Demographics registered users’ research area (A), occupation (B), and genders (C).</p

Publications.

Peer-reviewed research citing the use of resources from the iPlant Collaborative (2008–2017) and CyVerse (2017-Present). Also see https://cyverse.org/publications for the latest update. (PDF)</p

DE applications.

How they run, where they run, and popular applications. (PDF)</p

Glossary.

Frequently used abbreviations and acronyms with descriptions. (PDF)</p

Multiplier effects.

Only 25% of NSF awards which requested Letters of Collaboration (LOCs) mention “CyVerse” or “iPlant Collaborative” in their public abstract. Of the total awards that mention “CyVerse” or “iPlant Collaborative” 73% did not request LOCs.</p