We propose to apply Reduced Order Modeling (ROM) techniques to reduce the demanding computational costs associated with the detection of a type of steady bifurcations in fluid dynamics.
In Routine Outcome Monitoring (ROM) there is a high demand for short assessments.
Furthermore, the unstable support during the performance of ROM exercises might contribute to higher demands on muscle strength and muscle coordination.
Postoperative manual stretching aims at restoring the loss of range of motion (ROM) but pain and the high demands of this prolonged rehabilitation treatment can hamper the efforts and patients may become disabled [ 8].
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This work introduces Reduced Order Model (ROM) to alleviate the heavy computational demand of nonlinear nested multiscale procedures, particularly in an optimization framework which requires multiple loops involving similar computations.
There were no statistically significant differences between the prophylaxis and on-demand arms for the HRQoL and ROM results when controlling for multiple comparisons; the study was not statistically powered to show a difference for these outcome measures due to the small sample size and limited observation period offered by the 12-month study (ROM).
These techniques are technically demanding and need solid fixation to allow the early ROM necessary to avoid patellar tendon contractures [ 8].
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In order to optimize the training effect of the quadriceps, a large RoM [ 34] and external flexion moment in the knee is demanded.
