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Three-dimensional void structures are generated using a random sequential addition algorithm in which spherical void particles are positioned in a solid phase matrix with a control of their size distribution and overlapping.
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34 The sequential analysis was performed using a random effects model, α (5%), power (80%) and the incidence rates and the intervention effects identified in the meta-analyses.
Women living with HIV attending a routine clinic visit were invited to participate, and were enrolled using a non-random sequential sampling frame.
A random sequential update algorithm was used to perform the simulations [ 58] using the following algorithm.
Global fitting of the bi substrate data for the reverse reaction yielded a best fit to an ordered sequential mechanism (r=0.961) compared with a random sequential mechanism (r=0.909).
The BNNTs were distributed randomly using the random sequential adsorption algorithm in the hypothetical matrixes.
The cellular solid is obtained by generating mixture size of spherical voids using the Random Sequential Addition – RSA algorithm.
Random distribution of the BNNTs was reconstructed using the random sequential adsorption algorithm in the beta tricalcium phosphate (β-TCP) and hydroxyapatite (HA) matrixes.
Using the random sequential adsorption algorithm, fibers were generated with embedded element technique; this makes finite element modeling more convenient and enables the analysis of two key issues: the large aspect ratio of the aramid fiber and large deformation of the rubber.
We used a random-effects model.
We have mimicked the layer by layer self-assembling process at a solid-liquid interface using the extended random sequential adsorption model of hard spheres.
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