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We performed parametric (PA) and nonparametric analyses (NPA).
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The proposed system uses a non-linear regression algorithm based on exponential non-parametric adaptation (PA) method, which was implemented on Airtel 4G LTE category 4 wireless networks in client-server environment.
The association of the results of RT-Q-PCR with diagnosis (H/C PA versus cerebellar PA and PA versus GBM) and KI67 quantification was assessed by the non parametric Mann–Whitney test using IBM SPSS PASW statistics 17.0.
An average PSNR of 30.6923 dB was observed using the proposed algorithm with non-parametric exponential non-linear regression (PA), 20.44 dB without adaptation (WA), and 24.65456 dB using buffer algorithm based on BUP approach.
For PA imaging, a tunable optical parametric oscillator (OPO) pulsed laser system operating at an 800 nm wavelength (peak absorption of Au NRs) and pulse duration of 5 ns was used to irradiate the sample and to generate photoacoustic signals.
An average VQM score of 10.252 is obtained using the proposed algorithm based on non-parametric regression and exponential non-linear regression (PA), 18.294 without adaptation (WA), and 17.180 using buffer algorithm based on BUP.
As PA variables were skewed, non-parametric statistics were used.
The correlation between CXR results at autopsy and gross lung PA scores as calculated by non-parametric Spearman's rho (Rs) was strong (Rs = 0.75) and highly significant (p<0.0001) (Figure 4A).
PA time (work, transport and leisure) were normalized by log transformation for parametric analyses (ANOVA).
Test-retest reliability of the CAPANS-PA questionnaire, was assessed by ICC's (one-way random model) for parametric (interval and ratio) variables with acceptable reliability defined as an ICC ≥ 0.70 [ 41].
Non-normally distributed variables (PA, HDL-C, TG and serum insulin levels) were normalized by log transformation for parametric analyses.
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