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In order to develop this algorithm, the most reliable experimental data reported in the literature on the dissociation pressures of the aforementioned binary hydrates have been used.
To develop this algorithm, the experimental data for the hydrate dissociation conditions of the latter two systems with different concentrations of tetrahydrofuran in aqueous phase below its stoichiometric concentration (i.e., ≃0.059) have been used.
To develop this algorithm, the experimental data reported in the literature for hydrate dissociation conditions of the latter two systems with different concentrations of tetra-n-butyl ammonium bromide in aqueous phase below its stoichiometric concentration (i.e., ≈0.037 mole fraction or 0.43 mass fraction) have been used.
It would certainly be possible to continue to develop this algorithm, with each iteration including new rules to automate the manual corrections found necessary for the previous iteration.
To develop this algorithm we assumed that in a dual-channel image, those pixels that contributed positively to r accounted for the colocalized population of pixels, while those pixels that contributed negatively to r corresponded to the mutually exclusive (anti-colocalized) population of pixels.
The motivation to develop this algorithm was the urgent need to define immune parameters of controlled HIV infection that could guide HIV vaccine development.
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The Cost Benefit economic concept had been adopted in constructing and developing this algorithm.
Kansei engineering methodology was applied in developing this algorithm; individual user preferences formed a set of Kansei parameters.
Independent thexperimentalbetween the predataionotand the experimental data is acceptable demonstrating the reliability of this algorithm as a predictive tool.
The authors developed this algorithm to provide structured evidence-based guidance on the management of TCA.
The ABS developed this algorithm, and related software, and commonly uses it to reweight their survey data.
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