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Selecting the most relevant variables is usually suboptimal for building a predictor.
Both the innate and the adaptive immune responses contribute to the control of RSV infection, but despite successful viral clearance, protective immunity against RSV re-infection is usually suboptimal and infections recur.
Filter methods based on correlation or mutual information ranking [21] are easy to implement; however, selecting the most relevant variables is usually suboptimal for building a predictor, particularly if the variables are redundant.
Finally, the precision of survey results is usually suboptimal in countries with relatively low frequencies of MDR-TB.
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Consequently, conceptual design approaches are usually suboptimal and work only for short-run development planning.
Methods such as set-point control are usually suboptimal and can create new peaks.
However, most of them have solved part of the problems appeared in cooperative vehicular networks and the proposed schemes are usually suboptimal.
The major setbacks with this approach are that the approximate representation of the original function could contain a number of extra variables, leading to an increase in the decision variables of the entire problem, and solutions obtained through approximate substitutes are usually suboptimal rather than optimal.
However the predicted splice sites were usually suboptimal and the intron sequences were in frame in all cases, thereby allowing continuous translation.
First, most existing features are designed according to the observation of a few seizure patterns, which seems too empirical to cover a wide range of seizure patterns; thus the features are usually suboptimal.
Other radiopharmaceutical compounds such as indium-111 oxine would allow monitoring for up to 96 h, but have disadvantages, such as the interval of 18 24 h between infusion and imaging that is usually necessary, suboptimal photon energy, and a higher radiation burden for the cells and for the patient [ 23].
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