The Bromley model is similar to the SIT model, but it takes the concentration dependence of second virial coefficients into consideration.
It follows essentially the same track as the preceding proof of Proposition 5 about uniqueness and, it just takes the different coefficient functions into consideration.
Channel coefficients take into consideration the total loss of the radio link between the transmitter and the receiver, as well as the antenna gain and the propagation effects (e.g., large scale fading due to the shadowing and small scale fading due to the multipath).
These phenomena occurs simply because compared with MIMLFast, We-MIML considers the class prior; inspired by the matrix completion techniques, Co-MIML takes the property of sparseness on linearly coefficients (W_0) into consideration; and Co-MIML fully makes use of the information provided by the unlabeled data, i.e., these assumptions and designs in We/Sp/Co-MIML meet the natures of data in Sect.
The relationship between two independent variables was assessed by calculating Spearman's rank correlation coefficients, taking into consideration the value of the correlation ratio and its statistical significance (reliability notation: p < 0.05 means statistically significant, p < 0.01 highly significant).
The relationship between two independent variables was assessed by calculating Kendall 's rank correlation coefficients, taking into consideration the value of the correlation ratio and its statistical significance (reliability notation: p < 0.05 means statistically significant, and p < 0.01 – highly significant).
Internal consistency was assessed by means of Cronbach's alpha reliability coefficient, and taking into consideration the change in the alpha coefficient as items were excluded, one at a time, from the scale [ 36].
The changes in properties such as tensile and compressive strength, elastic modulus, gas permeability as well as chloride diffusion coefficient are taken into consideration.
The most significant variables in the components represented by high loadings (correlation coefficient >0.7) taken into consideration for evaluating the components (Mazlum et al. 1993).
In this paper, Mel Frequency Cepstral Coefficients (MFCC) [16], Human Factor Cepstral Coefficients (HFCC) [17], Bark Frequency Cepstral Coefficients (BFCC) [18], Perceptual Linear Prediction PLP) [19], RASTA Perceptual Linear Prediction (RASTA PLP) [20], and Revised Perceptual Linear Prediction (RPLP) [18] coefficients are taken into consideration.
