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The primary goal for many of these new approaches is improved identification and assessment of those with mental illness, more efficient case management, enhanced quality of associated services, and reduction in subsequent recidivism levels.
We expect that as the work is carried out, and as the quality of data produced from both approaches is improved, we will increase our understanding of the reasons behind currently cited divergent results.
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However, the development of new drugs and innovative treatment approaches is improving the outlook for patients with NSCLC.
It is shown that the accuracy of the proposed approach is improved, while its tracking error is correspondingly decreased.
Also, taking the effects of reconvergent paths into account, the accuracy of the proposed approach is improved considerably.
A knowledge-based clustered partitioning (KCP) approach is improved to determine the reliability index and probability of failure of a rock slope.
The approach is improved by a new algorithm of waviness envelope construction and a morphologic filter using the waviness envelope as a low-frequency surface of filtering.
In the paper, the Hardware-In-the-Loop approach is improved in order to obtain a simulation architecture which allows a step-by-step testing of the control.
The Zero Point Structural Stress (ZPSS) approach is improved to calculate the structural stress for the fatigue life assessment of tubular joints.
In this paper, this algorithmic approach is improved and optimal convergence order is derived.
This approach is improved in [9] by taking proportional fairness into account.
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