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Through comparing the adaptation accuracies with those provided by other classical neuro-adaptation methods, the modularized adaptation is proved to be a feasible method for case adaptation.
Fig. 8 a-1 Warning area and prediction result for the warning issuance by the IPF method for case No. 1. a-2 Final prediction result by the IPF method for case No. 1. b-1, 2 Warning areas and prediction results at the initial (b-1) and second (b-2) warning issuances by the PLUM method for case No. 1.
Fig. 9 a-1 Warning area and prediction result for the warning issuance by the IPF method for case No. 5. a-2 Final prediction result by the IPF method for case No. 5. b-1 5 b-1 5ng areas and prediction results for the initial to fifth Warning issuareas by the PLUM method for cand No. 5.
Tables 4 and 5 show the average PSNR results of the video reconstructed from multiple video inputs using the proposed method for Case 1 and Case 2, respectively.
b-6 Final prediction result by the PLUM method for case No. 5. Definitions of colors, shading, and symbols are the same as in Fig. 4.
Noting the disproportionate burden of care associated with septic hip revision surgery, he recommended that a method for case sharing should be established by medical centers that are best equipped to care for these patients, and that reimbursement to both hospitals and physicians should more realistically adapted to the magnitude of resources consumed by these patients.
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Barnes, C. et al. A robust statistical method for case-control association testing with copy number variation.
In this article we describe a novel, statistically valid, method for case-control association studies in structured populations.
First, we have formulated the method for cases in which the airfoil motion is given.
A simple algorithm has been developed to optimize the method for cases where the number of sources differs significantly from the number of target points.
Rare headaches are unlikely to be of public-health interest unless severe, which opens up a possible alternative method for case-ascertainment: the screening of large clinical populations (eg, general practitioners' clinical files) for potential cases, and then a more thorough clinical expert interview of these for diagnostic confirmation [44].
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