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This work intends to demonstrate the importance of a geometrically nonlinear cross-sectional analysis of certain composite beam-based four-bar mechanisms in predicting system dynamic characteristics.
This work intends to demonstrate the effect of geometrically non-linear cross-sectional analysis of certain composite beam-based four-bar mechanisms in predicting the three-dimensional warping of the cross-section.
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The inadequacy of the detailed mechanism in predicting the experimental laminar flame speed is also demonstrated.
The non-parametric regression techniques provide a suitable mechanism in predicting the state of buffer over a defined interval of time.
Therefore the earlier criticism of the models developed by Konnov and by Skreiberg et al. is not substantiated anymore; these mechanisms are capable in predicting ammonia conversion both in lean and in rich flames.
The patterns found can be used as evidence for hypotheses on underlying action mechanisms or directly in predicting the responses.
Further understanding of these mechanisms may aid in predicting which contexts (physiological, psychological, and social) have the greatest potential for inducing positive treatment responses.
Development of robust toxicity pathway models that incorporate compensation and recovery mechanisms should aid in predicting toxicologic outcomes after exposure to specific classes of toxicants.
Otherwise, the two mechanisms are reasonably successful in predicting the effects of DMMP on the flame.
Nonlinear friction in tendon-sheath mechanism (TSM) introduces difficulties in predicting the end-effector force inside the human body during surgical procedures.
Importance of transitions in creep mechanisms with decreased stress levels in predicting in-service dimensional changes is emphasized.
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