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The automatic adjustment of decisions variables terminates (ideally) at the global optimum (least cost).
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In that case, the perceptual representation of an emotional face is not affected by mood – only post-perceptual processing is, for example, by an adjustment of decision thresholds [cf. 20].
Further evidence showing a dissociation between the FRN and feedback P3 originates from a recent study (Chase, Swainson, Durham, Benham, & Cools, 2011) demonstrating that the FRN reflects prediction error and associated reinforcement-learning-based adjustment of decision values, whereas the feedback P3 reflects adjustment of behavior based on explicit rules.
Evaluation of HRQOL among CKD patients in Egypt can add new insight in the management of the disease as it allows the quantification of the disease consequences according to the patient's perception and enables adjustment of medical decisions to their physical, emotional, and social needs.
Finally, experimental results on the hash ring, content hot-rank prediction, and adjustment of autonomous decision of cache status are analyzed, thereby confirming that the distributed proxy cache management mechanism based on autonomous decision could manage cache nodes effectively and automatically, and could improve the overall performance of the system.
Fundamentally, the data collected in the study will enable the testing and adjustment of health decision models.
The main outcome variables are measures of risk-taking, risk-adjustment, quality of decision making, delay aversion and overall proportion bet.
We have shown in accordance with Kristensen et al. [ 7] that lack of uniformity of scores (e.g., different scores within the same clinical entity and adjustment of scores to suit decisions) leading to reduced intra- and inter-observer agreement are likely to occur in medical records of field data.
Long term adjustments necessarily include the regulation of decisions and behaviors that resolve uncertainty or errors in prediction.
First, compared to the existing literature, we use a recent dataset that covers the full implementation period of the program and that may enable us to better capture the potentially slow adjustment of household labor allocation decision.
Although consideration of the sampling rate extends beyond the scope of AUX scripting, a sensible decision or adjustment of the sampling rate is required in actual programs using AUX, such as Psycon.
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