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Interfacial interactions between carbon nanotubes (CNTs) and metal matrices play a critical role in the bulk mechanical properties of CNT-reinforced metal matrix nanocomposites (MMNC), but their load-transfer mechanisms remain not well understood.
Interfacial interactions between carbon nanotubes (CNTs) and polymer matrices play a critical role in the bulk mechanical performance of CNT-reinforced polymer nanocomposites, but their mechanisms remain elusive after over a decade of research.
These regular matrices play a very important role in summing nonconvergent or convergent sequences and series.
Random measurement matrices play a critical role in successful recovery with the compressive sensing (CS) framework.
It is clear that these matrices play a significant role in analyzing the structure's dynamic behavior due to structural damages.
The eigenvalues of these r-mode sample covariance matrices play a major role in the model order estimation step.
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In this context, the use of so-called complementary matrices play an important role.
Structured matrices play an important role in the numerical solution of practical problems, because it is possible to develop fast algorithms for their triangular factorization.
The lower bounds for the rank of matrices play an important role in diagnosing nonsingular matrices.
In summary, FAP+ 3D matrices represent a permissive environment for pancreatic (and breast cancer) invasion, and perhaps these matrices play an equally important role along with the epithelial cell component.
Moreover, the co-mixing of polyethylene glycol 6000 (PEG 6000) in the waxy matrices played a meaningful role in controlling the drug release for 24 h.
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