The test variable was application of a comprehensive automated EHR screening tool, CV Alert, to identify high-risk sepsis patients based on a multifactor alert system including labs, vital signs, and treatment team documentation.
Intubating variables were assessed: application of back upward right pressure (BURP), Cormack and Lehane grade, time for intubation and number of intubation attempts (see Appendix).
The discretizing in space, angle, and energy variables were refined for application of the K-DEMO neutronic analysis model through an iterative process since these variables greatly impact on accuracy, solution times, and memory consumptions in ATTILA.
The independent variables are Base Application, Technique and Execution Types, which, are controlled and manipulated.
The experiment was established using a randomised split-plot design with independent variables being the application of propagules directly to the bark surface or to sapwood; and ambient or moist conditions of incubation.
In principle, twelve different variables were randomly assigned to each application.
Thus, these variables were not considered in the application of LDA.
Ten minutes were allowed for stabilization, after which ventilatory variables were again measured before the application of CMS and TMS.
Second, several numerical variables were parametrically optimized based on the application of different under-relaxation parameters, mesh densities, and time stepping strategies.
Moreover, for ISF and SRS, it was also shown that these variables were reduced to practically zero by application of CRT [ 14].
