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In this study, a part of project data was utilized and analyzed for the research purpose.
Life expectancy is frequently utilized and analyzed in the composition of demographic data for the countries of the world, for the attainment of mortality experiences and for more reliable international comparisons [1].
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The sheer volume and semantic richness of such data opens enormous possibilities for utilizing and analyzing it for personal [7, 8], commercial [9, 10] as well as societal purposes [11 13].
Moreover, HTS data are also noisy in general (Diller and Hobbs, 2004; Weis et al., 2008), and one needs to be cautious when utilizing and analyzing the data.
Beyond the selection of indicators at the facilities level, guidance is needed for utilizing and analyzing health systems benchmark data collected prior to the emergency, and for calculating the effective coverage of essential health services and core health systems indicators.
In this specific application, the ABM is a distributed model across a number of regional hospitals, with an emphasis on utilizing data collected and analyzed in near real time.
In order to show the superior performance of the proposed NSGA-II, a well-known evolutionary algorithm, the multi-objective particle swarm optimization (MOPSO), and the epsilon constraint methods are utilized and the results are analyzed and compared.
Diversity estimators were utilized and wound community compositions analyzed in relation to metadata such as Age, race, gender, and comorbidities.
0.002% (v/v) DMSO-treated human T24 cells were utilized as the control and analyzed as described above.
In each simulation cycle, Candence PSPICE 16.5 was called from Matlab to simulate the network with results being collected and analyzed utilizing Matlab.
For each input parameter, seven samples within their respective boundaries were drawn and analyzed utilizing the quasi-Monte Carlo-type Sobol method (Sobol 2001; Saltelli 2002; Saltelli et al. 2010).
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