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In this paper, 3-DOF planar parallel manipulators (3-DOF PPMs) are classified; various of shapes of the workspaces are presented; the relationships between the shapes of the workspaces and the link lengths of each of the classifications are presented.
This behavior is quite robust to changes in the number of clusters in each of the classifications and to changes in the distribution within clusters.
To ascertain the clinical significance of various classifications, we systematically excluded patients with HAM, CB and ORF from each of the classifications and then re-analyzed the severity.
The proteomes were analyzed by summing the respective contributions of the corresponding amino acids under each of the classifications.
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This resulted in 10,000 mean AUCs for each of the classification models described above.
This may reflect inherent deficiencies in each of the classification systems.
The 95% confidence intervals in Table 5 show a significant difference between each of the classification methods' mean AUC.
In the following sections we describe how p(ω α |x q ) is estimated in each of the classification methods.
Each of the classification schemes was used as the response variable in a separate random forest model.
Since each of the classification methods above attempts to estimate expected values of joint moments, they are quickly corrupted by a rapidly fading channel.
Objective: To determine the interrater reliability of the Donovan system for classification of pain in spinal cord injury (SCI) as well as the clinician-based usefulness of each of the classification criteria used in the Donovan system.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com