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To examine subjects' recognition of the risks and ethical issues associated with enrollment in genetic family studies (GFS) and explore how this recognition affects their informed and voluntary participation.
Statistical analyses of results suggested that subjects' recognition of error was significantly improved by having the text presented in typographical conditions which encouraged concentration on fewer distractors for error detection.
In order to have an indication of the subjects recognition performance, a second condition (condition Cr) was introduced.
We suppose that script facilitates subjects' recognition.
We also conducted additional presentations of single images as controls to verify that covering key parts of the face did not impede subjects' recognition of the stimuli as depicting a horse.
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Therefore, the detected abnormalities are more likely to indicate the primary pathology and the existence of such changes provides the opportunity of applying them for subject recognition based on brain imaging.
For instance, Wang et al. [16] proposed the Chromo-Gait Image for subject recognition.
In previous sections, we presented our evaluations of subject recognition based on gait, and in this section, we evaluate a different recognition problem, that is, the classification of the CS labels based on the gait feature.
Subject recognition and interest couldn't have been much higher for Jobs, so why did it falter?
In this work we compare the quality of the different spatial frequencies to perform subject recognition task in the machine.
Our results therefore support the conclusion that face representation to perform subject recognition task is optimal within a narrow band of spatial frequencies.
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CEO of Professional Science Editing for Scientists @ prosciediting.com