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One-in-four adults will experience some kind of mental health problem in the course of a year and conventional approaches cannot meet this overwhelming demand.
These approaches cannot give an optimal solution.
Existing approaches cannot effectively solve these problems.
However, most existing decision approaches cannot capture these complex interrelationships.
However, this kind of approaches cannot show individual solutions.
These approaches cannot adequately monitor internal flow features.
However, the approaches cannot ensure the semantics of a program code is intact.
Thus, these approaches cannot achieve fast and efficient resource allocation for large-scale data center.
Yet, these approaches cannot be readily applied to lower the morbidity and mortality from childhood cancers.
However, traditional learning approaches cannot be directly applied due to scalability issues.
However, these approaches cannot handle dynamic backgrounds and are sensitive to threshold values.
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CEO of Professional Science Editing for Scientists @ prosciediting.com