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As O-POCA is NP complete, solving it is very time-consuming, which results in that it cannot be well applied in practice, while our POCA algorithm can be solved with polynominal time complexity and its performance is near optimal; it achieves good balance between performance and complexity.
It achieves good scalability even on problems of modest size.
Results show that it achieves good performance as expected.
Compared with conventional approaches, it achieves good error performance with lower construction complexity.
It is historically the oldest and simplest detector, and it achieves good performance when the SNR is strong enough.
In this section, we discuss the proposed mechanism, called IBRC for MHMM, and show that it achieves good resource utilization.
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It achieved good inter-rater correlation (Cohen κ index 0.92), but it does not evaluate the relation between patient and ventilator.
We found it achieved good recruitment and is a feasible method to evaluate palliative care services when patients are expected to live longer than 3 6 months.
Although it achieved good clinical outcomes and fusion rates, the implant was reported to have decreased initial bone contact and primary lateral instability, showing no meaningful advantage over plain screw or box designs [ 14, 26].
Despite this behavior, it sometimes achieves good convergence, although it always requires more iteration steps than GTR1DA.
Nonetheless, it said it had achieved "good pretax profit growth" in line with its own expectations and stable margins, but this did little to reassure analysts.
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CEO of Professional Science Editing for Scientists @ prosciediting.com