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These matrices can also be used for obtaining the natural frequencies of carbon nanotubes.
Decellularization of in vitro cell-derived matrices can also enable the generation of autologous constructs from tissue specific cells or progenitor cells.
The capability to generate and simultaneously utilize response matrices for multiple orders (which can be created for plus and minus orders 1-25) is available within Sherpa/CIAO, and these response matrices can also be used with other spectral analysis software such as XSPEC.
Apart from LDHs, many other matrices can also be used as the hosts for controlled release formulations.
Transition matrices can also be constructed for qualitative variables or attributes, like occupation type, working sector, or education level.
In addition to families of K-sparse signals, random matrices can also provide stable embeddings for manifolds (see Figure 2).
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Embedding drug into a slowly eroding hydrophilic matrix can also allow for sustained release.
The amount of air pores in matrix can also affect thermal conductivity of this material.
The global propagator matrix can also be assembled using the continuity conditions.
The stress distribution function in matrix can also be gained when the CSE supports load on each direction.
In the case of parallel implementations of numerical algorithms, the sparsity of a matrix can also be used to reduce the number of processing elements (PEs) required.
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