With respect to thermoelectric properties, the formation of a perfect, layered structure induced an increase in the Seebeck coefficient and, at the same time, a decrease in the thermal conductivity.
The need for low latency calls for a parallel approach in which the Fourier coefficients are computed at the same time.
The analysis can be based on the Pearson product moment correlation coefficient, or on the Spearman's rank correlation coefficient, or both at the same time; and the resulting values fluctuates between −1 to 1, providing the negatively or positively correlated genes.
However, the amorphous Ni/a-C H films deposited from a gas mixture coNi/a-C H 60% ofilms2 exhibitedepositedest fromtion coefficient (∼ 0.04), at the same time the nanohardness of these films was ∼ 7 gas.
The problem aims to assign a set of finite closed-loop eigenvalues which have minimum sensitivities with respect to perturbations in the closed-loop coefficient matrices, while at the same time, guarantee the closed-loop regularity.
The fact that the overall inbreeding coefficient has risen at the same time (Table 1) suggests that the increasing autozygosity is due to a progressive increase in differentiation among and/or within regions rather than to loss of alleles.
EZBC utilized the correlation of coefficients in the same sub-band and coefficients in different subbands at the same time and adopted a simple and efficient quadtree coding structure and context-based bitplane encoding method [6, 7], so it can achieve higher compression performance than SPIHT and EBCOT.
The mixture model can be viewed as a combination of a logistic model for metabolite detectability and a linear model for metabolite abundance, with an iterative computational procedure to estimate coefficients for both models at the same time (13).
Different from traditional ordinal regression models that assume monotone effects of predictor variables [ 29], the continuation-ratio model uses separate coefficients for different outcome classes, at the same time automatically selects highly predictive variables (and their time scales) for each class.
Specifically, coefficients, whose absolute value is above the 0.05 threshold value were taken into account and at the same time coefficients related with particular atom (e.g. Si1) were summed.
