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The optimal force of a muscle is largely determined by its physiological cross-sectional area (CSA) [16].
The question of the optimal force of the Wingate test has mainly been studied empirically by repeating this test with different loads in various populations.
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Furthermore, the way to distribute optimal forces of the legs should be formulated.
The literature therefore seems to suggest optimal force levels of 200-500 g for en masse molar intrusion using skeletal anchorage [12]-[16] [12]-[16]
Nahon et al. [75], summarized three methods for solving the optimal force distribution problem of this kind of PMs: the weighted pseudo-inverse, explicit Lagrange multipliers, and direct substitution.
In this scope, it yields for example the layout of optimal force inputs.
Neurosurgeons typically require years of hands-on experience, together with multiple initial trial and error, to master the optimal force needed during the performance of neurosurgical tasks.
The differences in the stress of the corresponding points are at the level of ten thousandths, and these little diversities make no important difference in the amount of the optimal force.
Fully access to the response surfaces within the confidence range enables us to infer the optimal force parameters given the desirable values of target properties at the macroscopic scale.
In the present paper, optimal force is expressed as a percentage of body weight (for example 7.5% BW) [ 78].
The optimal stretching force of an electrically rotating viscoelastic jet was obtained from high-speed videography and dimensionless groups (Re, We, and Oh numbers) analysis.
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