In terms of the CPSS subscales, the model was significant both for the CPSS re-experience subscale (adj. r 2 = .10, p < .05), with change in SLE as the only significant predictor (p < .05, β = .667, 95% CI.245 to 1.089), and for CPSS avoidance subscale (adj. r 2 = .08, p = .043), still with change in SLE as the only significant predictor (p < .05, β = .602, 95% CI.141 to 1.064).
Experimental results show that the proposed PSS achieves better performance than the CPSS in damping oscillations.
The CPSs verification concerns the logical and temporal verification, as well as the performance evaluations.
The results were assessed by means of an adapted questionnaire based on the CPSS taxonomy, and statistically analysed using ANOVA.
Simulation results confirm that the damping effects of the proposed PSS are much better than that of the CPSS against various operating conditions and system uncertainties.
With unrivaled scalability and flexibility, the CPSs based cloud services brings significant convenience to customers in need of elastic computing power.
The CPSS members are Brazil, Belgium, Canada, China, France, Germany, Hong Kong, India, Italy, Japan, Korea, Mexico, Netherlands, Russia, Saudi Arabia, Singapore, Sweden, Switzerland, Turkey, United Kingdom and United States.
The CPSS performs similarly: 72.2% of children are correctly classified.
The CPSS currently monitors 24 perinatal health indicators.
Similarly, there were no significant differences in the CPSS total scale or any of the CPSS subscales.
The CPSS should establish a means of comparing Canada's practices with WHO standards (currently on the agenda of the CPSS Steering Committee).
