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The results of elastic modulus testing were adjusted with Ishai-Cohen and Narkis models for rigid polymeric matrix and compared to each other.
A detailed three dimensional finite element model is used to predict the through-thickness thermal conductivity of a composite consisting of a woven fabric and matrix and compared with existing analytical two component models.
This study examined the reinforcing effects of alkylated graphene oxide (AGO) on a non-polar polypropylene (PP) matrix, and compared these effects with those of one-dimensional carbon nanotubes (CNTs).
Simulated PA signals for the nanocomposite structure porous silicon-liquid are presented in Figure3 for different values of thermal conductivity and fluid permeability of the porous matrix and compared with the corresponding experimental curves.
Differentiation of muscle progenitor cells was studied using C2C12 skeletal myoblasts on adult skeletal muscle matrix and compared to a conventional collagen coating I [53].
To test this hypothesis we transformed the metabolic data into a binary matrix and compared the binary and continuous results.
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The principal aim of this study is to evaluate an optimized quantity of fresh EAFD in a cementitious matrix and compare its performance against various matrices with different supplementary cementitious materials (SCMs).
This section first looks at the setting of the Weka cost matrix and compares the misclassification costs needed for each classifier for each dataset.
It was, thus, possible to develop the evaluation matrix and compare the profiles of the eight neighbourhoods according to an ex post evaluation approach.
We present some lower bounds for the Frobenius condition number of a positive definite matrix depending on trace, determinant, and Frobenius norm of a positive definite matrix and compare these results with other results.
In order to distinguish between signal and noise eigenvalues for moving sources conditions, we approximate the decreasing profile of the eigenvalues of the noise spatial correlation matrix, and compare this to the profile of the observed eigenvalues of.
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