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The Probability of Neutralization (PN) is computed by the neutralization analysis module as a second metric factor of the PPS effectiveness.
The evaluation process was carried out using the single path computer model (EASI), for the determination of the probability of interruption (PI) as a first metric factor of the PPS effectiveness.
Applying PC extraction to ranks yields a nonmetric factor structure that is invariant under monotone transformations of the data within each column and closely approximates the structure recovered using standard (metric) factor analysis when the monotone relationships are strictly linear (Kruskal & Shepard, 1974; Woodward & Overall, 1976).
In univariate survival analyses, treatment (P<0.001), histology (P=0.001), stage (P=0.012) and fibrinogen (either as metric factor (P<0.001), grouped by median (P<0.001) or clinical cutoff (P=0.001)) had significant prognostic impact on OS, whereas age (neither as metric nor as grouped by median) and gender showed no prognostic value (as summarised in Table 2).
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Table 1 Important concepts in this review Concept Description Type of trust model Type of trust model in terms of the main object Trust metric Factors that are used to measure trust value in each model Trust model properties Properties that trust models have to satisfy them.
The limit of this study is the use of natural sites and controlled conditions may exclude environment parameters and reduce effect of multipara metric factors.
For the purpose of illustration, the factors showing a significant association to the symptoms in the final models were gathered in Figure 4. Here, the metric factors were categorised into groups.
To establish metric invariance, factor loadings were constrained to be equal across groups; intercepts and residual variances were freely estimated; and factor means were fixed to zero in both groups.
The system metric Q-factor (linear) is calculated by [24] Q = P top − P base / σ top + σ base (3).
10 However, the impact factor metric, despite its strengths and limitations, is the most widely used metric to determine the reach of a journal or article to global audiences.
Therefore, a new metric called coherency factor (σc) is proposed as a complementary new metric of the low k1 lithography.
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