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Using multiphoton microscopy, QDs can differentiate tumor vessels from perivascular cells and matrix better than traditional fluorescently-labeled dextran vessel markers (Fig. 5) [129].
The comparative fit index (CFI) and the Tucker Lewis index (TLI) assess to what extent the model estimated reproduces the observed covariance matrix better than a baseline model that is assuming all observed variables are uncorrelated.
The reason can be attributed that the hydrophilic silica has more −OH and they could combine with the polymer matrix better than the hydrophobic silica with less −OH does, so the crosslink networks formed more completely, resulting in a larger G′.
The difference in Δχ (1) = 9.45 between the two models is significant (p < .01), indicating that the nonrecursive (i.e., reciprocal) model fits the observed variance-covariance matrix better than the unidirectional model.
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With respect to both, mechanical and thermo-mechanical properties, hemp fiber composites with rHDPE matrix performed better than composites with vHDPE matrix.
The results in the training period identify this pick matrix as better than the positive pick matrix in terms of several performance measures.
According to Figure 1, using the different compression ratios, we can see that the PSNR of the reconstructed image of the Gaussian random measurement matrix is better than the other measurement matrix.
Furthermore, given the sufficient randomness of the Gaussian random measurement matrix elements, the reconstruction performance of the five reconstruction algorithms under the Gaussian random measurement matrix are better than those under the Bernoulli random measurement matrix.
The fatigue life of UD composite with a brittle epoxide matrix is better than that with a ductile thermoplastic matrix by using the same fibre reinforcement.
According to Figure 5, the symmetry along with range direction of the result based on our proposed matrix is better than those based on the previous matrix.
We observe that the two methods using a marker-based relationship matrix perform better than the method using the pedigree based relationship matrix, but as expected the one-step method performs the best.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com