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The potential reduction in image quality may be because no consideration of the task or stimuli was used in choosing the particular algorithm.
The current method was a relatively simple process, and the results shown in Table 1 may possess lower reliability because the parameters [an integral interval (tau) in Eq. (1) and a duration to compute the bias (b_l) in Eq. (2)] were determined subjectively without a theoretical guarantee of optimality, despite consideration of the task condition and the actual NIRS response data.
Between-group consideration of the task demands may also be important, attempting to minimise any influence of task difficulty.
This can in general introduce an ambiguity in the interpretation of brain imaging or lesion studies (Price and Friston, 1999) and requires further consideration of the task components.
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The point is illustrated by a detailed consideration of the task-switching review by Kim et al. (2011), as described in the introduction.
The measurement model for the sensory measures required grouping the 31 sensory measures into subgroups on the basis of prior results with the factor analysis, as well as consideration of the tasks and modalities.
With consideration of the network task characterizations such as distribution of task arrival time and task holding duration, simulation experiment results are analyzed and the expression of optical space network queuing delay is given.
Finally, the problems with defining the content of the MPC-role suggest that some municipalities may have been attracted to the popular idea of having an MPC without thorough consideration of the exact tasks to be handled.
Results were analyzed with special consideration of the perceptual-cognitive task tested, the induced physical exercise, the time of testing, and the participants included in the study.
Generally, articles were screened with special consideration of the perceptual-cognitive task tested, the physical exercise induced, the time of testing, and the participants tested.
From the figures presented in Table 6, we can conclude that all classifiers showed satisfactory levels of Kappa, taking into consideration the subjective nature of the task.
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