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The use of numerical techniques, including computational fluid dynamics, fluid-structure interaction and coupled Lagrangian-Eulerian method, to predict the effect of ultrasound on polymer flow was considered.
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In the last decade, a plethora of computational methods to predict the effect of missense single-nucleotide variants (SNVs) have been developed.
Simple methods to predict the effect of lung recruitment maneuvers (LRMs) in acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are lacking.
Most existing methods to predict the effects of splice site variation lack scalability, transparency or portability, with respect to their scoring systems.
Further, computational based methods were utilized to predict the effect of identified mutation on the structure and function of HPRT enzyme.
Computational methods are available to predict the effect of single amino acid substitutions (SASs) on protein stability based on a single folded structure.
Introduction: No method is currently available to predict the effect of a fluid challenge on tissue perfusion.
The same analysis method can be used to predict the effect of other SNPs as soon as one knows which parameters (i.e., which molecular processes) they affect.
Our method is, in our knowledge, the first to predict the effect of a fluid load on tissue perfusion.
It is hard to predict the effect of the strikes.
A method designed to predict the effects of distributed modifications of structures is proposed here.
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