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Subsequently, the issue of the identification of fabric descriptors is addressed and fabric detection algorithms, incorporating 3D computed tomography images, are described.
The present investigation addresses the issue of the identification of effective constitutive properties of a binary object by using a nonlinear and full waveform inversion scheme.
In this paper, the issue of the identification of constitutive parameters of the Anand visco-plastic model is addressed using the Virtual Fields Method (VFM) in an infinitesimal deformation framework.
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Our present results obtained utilising low-dose 5-AZA-CdR, also contributes to address the still actively debated issue on the identification of its optimal schedule and dose of administration.
This first comprehensive study addresses important issues of the identification of markers for severity of p-H1N1-09 p-H1N1-09 p-H1N1-09infectionmune responses in severe diseand by evaluating several parameters.
However, a remaining key issue is the identification of suitable descriptors of similarity.
1.1) An issue concerns the identification of the nucleotide-loading state of RF3 in the analysis.
The major issue is the identification of the different types of circulating endothelial cells (CECs) issued respectively from the vessel wall or from bone marrow progenitors.
A central issue is the identification of the set of domains that are clinically meaningful and that might be expected to change as a result of treatment [ 6].
A critical issue is the identification of patients with the highest risk of adverse outcomes, using currently available markers [ 2].
The complexity and inexact nature of this issue prohibits the identification of a clear and concise causal pathway, which in turn leads to uncertainty and imprecision about the most appropriate action to address the problem.
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