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In present study a layerwise displacement theory has been utilized to predict a more accurate deformation for MR-composite beam and equation of motions derived using finite element model (FEM).
This model may be utilized to predict a patient's postoperative course more accurately, which has benefits for predicting costs, budgeting, and management of patient beds.
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For example, an end-referencing approach was used to describe the domain structure of the first 36 disaccharides of an HS chain [29], and more recently, a method of selective lyase degradation was utilized to predict an average spacing of 16 18 disaccharides between highly sulfated domains [30].
Moreover, the extended Renshaw and Pollard criterion is utilized to predict whether a hydro-fracture will propagate across the frictional fracture.
The SIFT algorithm (sorting intolerant from tolerant) [ 45] was utilized to predict whether an amino acid substitution affects protein function based on the degree of conservation of amino acid residues in sequence alignments derived from closely related gene sequences.
First, the FE model is utilized to predict damage to a CFRP composite without an LSP system.
A numerical method called the wavenumber finite element (WFE) method is utilized to predict decay rates for a rail on a continuous foundation.
Finally, the proposed methods were utilized to predict the response of a landing gear structure fabricated using braided composites under bending.
This details that, in general, the mixture model can be utilized to predict the LAC of a solution of water and GBCA for phantom studies.
Several statistical machine learning techniques were utilized to predict CDR status as a function of baseline characteristics (e.g. age) and the candidate biomarkers.
HCA not only proved to be a powerful tool to understand the functional abnormalities of AR mutations directly in patient-derived specimens, but was also utilized to predict clinical responses to a variety of experimental treatments.
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