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A new approach is proposed to the problem of pattern selection in discontinuous precipitation.
The process of pattern selection in a heterogeneous model of a catalytic reactor was studied by analyzing the behaviour of a simple condensed model.
Rigorous theoretical models using the phase-field method have shown that the fundamental physics of pattern selection in 2D and 3D is significantly different.
This article aims to, first, investigate the effect of weighting methods in multiple criteria decision making (MCDM) and then arrive at a systematic framework for optimum weave pattern selection in fiber reinforced polymer (FRP) composites.
The process of biological growth and the associated generation of residual stress has previously been considered as a driving mechanism for tissue buckling and pattern selection in numerous areas of biology.
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In the future, the conduction of rule selection in rule pattern generation and co-reference resolution in gene entity assignment will be performed to maximize the overall performance.
It is found that entropy plays an important role in pattern selection.
Notably, the H3K4me3 has the biggest AUC (~0.85) and the prediction accuracy in each pattern selection based on different bin number is very similar.
Additionally, B4galnt2 has an interesting pattern of selection in the mouse population that we will discuss towards the end.
The estimates from the M8 model suggest a different pattern of selection in DAB1-like and DAB3-like genes between both forms, i.e. a different number and different positions of PSS in sexual diploids and gynogenetic triploids were found.
We propose to use temporal patterns of diversity and scaled effective population size as tools to judge patterns of selection in viral genealogies.
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