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This part of the design needs to be based on best available measurement technologies and deployment methods, minimizing the investments.
Achieved results related to performed accuracy and dimension reduction are comparable with respect to other outcomes reported in the literature, and thus clearly showing that proposed methodology can be focused on finding alternative methods minimizing the parameters used for pathology diagnosing.
One trend involves the application of incremental methods, minimizing the need to recompute results as new datasets are added.
In the future many tissue assays could be performed by single-cell methods, minimizing the necessary sample size and thereby lessening the stress of the biopsy procedure on the patient.
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Such methods minimize the generalized asymptotic variance of the maximum likelihood estimators of the model parameters or that of a quantile lifetime.
These methods minimize the amount of empirical constants required, resulting in only one tube-specific parameter for all three conditions for each enhanced tube.
The OBA and AI-binning methods minimize the splitting of peaks between multiple bins and significantly reduce the size of the data matrix, thus reducing PCA computational time.
The most promising alternatives were optimized by means of the differential evolution (DE) method minimizing the total annual cost (TAC).
(iii)The internalization transformation based on [35] is an efficient clustering method minimizing the number of vertices in the graph without decreasing the potential parallelism in the application.
The constituents of each pseudo-component and their properties were determined employing an optimization method minimizing the difference between the results of the three pseudo-component approach (ThPCA) with those from the compositional approach.
Again, this model can be used as an ongoing validation method, minimizing the need for implementation validation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com