In this figure, the behavior of their realistic model for different choices of parameters is categorized in one of five categories: desynchronized, irregular bursting, oscillatory, regular bursting and saturated activity.
The correlation between the individual parameters was categorized into three groups: "strong correlation" for correlation coefficients (r) between 0.68 and 1; "modest" or "moderate correlation" for r between 0.36 and 0.67; and no correlation for r ≤ 0.35 (Taylor 1990).
Continuous parameters were categorized and Chi-square test was run to test differences in distribution.
Clinical parameters were categorized and scored as shown in Table 1.
These 79 parameters were categorized into the three input types, described in more detail below.
Because normal distribution of biological values was not reached, the selected parameters were categorized: cutoffs values were determined by optimal likelihood ratios of individual receiver operating curve (ROC) analysis, or according to the manufacturer's recommendation for PCT.
The original continuous erythrocyte parameters were categorized into 4 levels (Q1-Q4) using the 3 quartiles of P25, P50 and P75 as critical values, with ≤ P25 for Q1, >P25 and ≤ P50 for Q2, >P50 and ≤ P75 for Q3, and > P75 for Q4 respectively.
As a fundamental step towards the optimization in the design of products which are low emissive, i.e. the products which are "safer by design", the key parameters of the model are categorized at the end so that the particle aerosols emission can be minimized by their maximization or minimization to a certain limit.
The parameters required for the model are categorized according to whether they are transport, thermodynamic, or design-adjustable properties, and the experiments necessary to measure these data are described.
