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In this present study, multivariate statistical techniques such as CA, PCA and FA were applied to the interpretation of complex data matrices to better understand the water quality.
The application of statistical analysis thus helps in the interpretation of complex data matrices to better understand the water quality as well as identify the possible factors that influence the water chemistry in a region.
Microfluidics provides precise control over various extracellular matrices to better mimic cell-matrix interactions and support formation of 3D cell layers in in-vivo-relevant structures.
Here we extend the use of these matrices to better annotate the proteins of other apicomplexa like Plasmodium berghei, Plasmodium chabaudi, Plasmodium knowlesi, Plasmodium vivax, Plasmodium yoelii yoelii, Toxoplasma gondii, Cryptosporidium parvum, Theileria parva and Neospora caninum.
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The layered decoding concept is used in the LDPC along with one possible storage method that rearranges the H matrix to better exploits quasi-cyclic structure.
This allows the scoring matrix to better reflect the protein family being analyzed and allows detection of remote members of the sequence family that simple pairwise comparison would fail to detect.
Ho et al. also proposed an intelligent two-stage evolutionary algorithm (iTEA) that used orthogonal matrices to decide better solutions [ 7]. iTEA has shown its great power in the reconstruction of gene networks, but the orthogonal matrices will become bigger for large scale networks (e.g., 30 genes) and the computational time thus increases dramatically.
Therefore, it can be postulated that the superior thermal stability and better drug entrapment observed in F4 beads is likely from effective cross linking of the polymer matrix due to better diffusion of calcium into the alginate matrix during preparation.
Due to the presence of long-chain organic PEG molecules, it has more compatibility with elastomeric matrix leading to better dispersion.
The results show that reducing the amount of matrix leads to better DNA-extraction efficiencies, particularly for strongly inhibiting powders such as soy and wheat.
The aim is to validate a numerical approach, which is based on the microplane model for concrete and polymer (matrix), and to better understand the stress distribution in CFRP when the concrete crack initiates and propagates.
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