Sentence examples for data from several systems from inspiring English sources

Available data from several systems indicate that lineage-specific bouts of adaptive evolution may dominate the dynamics of vertebrate TLRs (Tschirren et al. 2011, 2012; Quach et al. 2013; Grueber et al. 2014).

TOH Data Warehouse integrates data from several systems used at the hospital including, but not limited to, patients, encounters, services, emergency visits, census information, health records abstracts, facility and capacity history and laboratory information services.

The model performance was evaluated against measured data obtained from several system closure experiments.

By identifying common cases from several systems, this method provides an estimate of the number of cases not captured by any data sources.

The system retrieves data from several information systems, and uses clinical rules to select the patients at risk of ADEs.

Inside 30 minutes they say an enterprise can provide employees with secure access to on-premise data from several backend systems.

Within 30 minutes, Hecht says an enterprise can provide employees with secure access to on-premise data from several backend systems.

Based on empirical data from several Bus Rapid Transit systems around the world, we also find that there is a positive relationship between infrastructure cost per kilometre and commercial speed (including stops), achieved by the buses, which we further postulate as a linear relationship between infrastructure investment and running speed.

Management will, therefore, require the consideration of monitored data from several different systems.

Indeed, experimental data from several model systems has demonstrated that there is an extremely high correlation between functional conservation and sequence conservation (Mashiyama et al. 2014; Zhao et al. 2014).

Additionally, as investigators recognize that large effect sizes are not necessarily obtainable, more studies are powered for smaller, more realistic effect sizes [ 9, 10], necessitating larger populations of critically ill patients and pooling of patient data from several healthcare systems.