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The simulation is utilized to predict the effect of antisense molecules targeted to different T7 mRNA.
The linear buckling analysis has been utilized to predict the buckling modes.
A 2D finite-element model is utilized to predict the cyclic behavior of the specimens.
Based on different similarity matrices, collaborative filtering is utilized to predict the drug-disease incidence matrix.
Mass transport boundary layer theory was utilized to predict theoretical hydraulic flux at system operating conditions.
For non-vertical wellbore, a computer program in Mathcad is utilized to predict sanding onset pressure.
Accordingly, a nonlinear damage accumulation rule is utilized to predict the onset of fracture.
In this study, artificial intelligence techniques were successfully utilized to predict the missing information.
The multi-linear regression is also utilized to predict average monthly per meter borehole heat exchange.
Terrain attributes derived from 30-m resolution DEMs were utilized to predict soil depth.
Thus, the proposed tribotest method can be utilized to predict the creep groan severity of brake materials in service.
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