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Our analysis used Finite Element Models (FEMs) that represented the geometry, kinematics as based on simulated gait and contact mechanics of three laboratory tested human cadaveric knees.
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All simulations were based on simulated sibling pairs only, and the simulated marker was assumed to be the actual QTL.
The second order sliding mode based simulated gait process was concluded to be sufficiently robust to body segment parameter variation that the use of scaled default parameters can be justified in the gait simulator.
The study was based on a simulated outbreak; therefore, the participants' reactions were to a simulated, not an actual, crisis.
The edges of a repaired longitudinal medial meniscal tear undergo compression, not gapping, during simulated gait.
In our simulation results, the "correct" solution was in fact identified based on the simulated data.
We then recalculated the LRS of all males based on this simulated pedigree.
The probabilities of assignment were calculated following Paetkau et al. [45] based on 10,000 simulated individuals.
Our gait dataset, OU-ISIR MVLP, is constructed based on gait images collected in the gait collecting framework introduced in [30].
A new model based on the Conventional Gait Model (CGM) was developed to calculate these effects.
The second paper is authored by X. Huang and N.V. Boulgouris and presents a gait recognition method based on multiview gait sequences.
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