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Remark 4.1 The above lemma is related to vertex-edge-face arguments in substructuring methods, in view of the characteristic for the rotated Q 1 element, here the results only concern the inequalities for faces.
The presentation of the results includes also the investigation of the limits of the proposed methods in view of indicating their reliable application range when utilized for torrefaction design procedures.
The proposed method may provide more realistic answers than other design methods in view of the yielding characteristics and the influence of key parameters that are considered in the analyses.
The new dendrimer and its metal complexes have been characterized by electronic (UV vis and fluorescence) and vibrational (IR and Raman) spectral methods in view of their antibacterial and antifungal activity.
Here we provide a comparison of some of these methods in view of the function approximation problem considered.
Methods: In view of these findings, we examined the role of β3 in pancreatic cancer by generating two stable β3-expressing pancreatic human cell lines and characterizing their behavior in vitro and in vivo.
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It is superiority to the conventional Gebhart's method in view of the grey body and the diffuse reflection assumptions.
Finally we investigated the robustness against JPEG compression and the comparison with an existing method in view of image quality and robustness.
Moreover, it uses the RMS-UKF to partially correct the prediction covariance matrix, which improves the applicability of the attitude inversion method in view of UKF and the particle degradation and dilution of the attitude inversion method based on PF.
Moreover we compare the proposed method using three types of lower limit images with the existing method in view of the tradeoff between PSNR and the robustness against JPEG compression.
However, for our application we decided not to rely on the.632+ method in view of lacking theoretical arguments regarding its consistency, and since we observed large differences of the apparent performances in our example (Random forest = 2.776, SVM = 6.362, LASSO = 8.978).
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