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These models were employed to randomly sample the solution space using the ACHR method.
After leaving the rock sample, the solution is conducted through a heat exchanger that cools down the hot percolated fluid.
In this study, non-optimized artificial centering hit-and-run (ACHR) algorithm was utilized to sample the solution space, and metabolite flux-sum analysis was utilized to calculate global turnovers of several cofactors.
In the present study, an unbiased artificial centering hit-and-run (ACHR) method (Kaufman and Smith 1998), one improvement to the Monte Carlo sampling, was utilized to sample the solution space and illustrate the global network properties of the constraint-based models.
To simulate what correlates to cell growth and succinate production in E. coli NZN111 under anaerobic conditions, Model_nzn stepwise setting distinct upper and lower bounds of succinate exchange reaction [i.e., reaction EX_succ e)] were performed to sample the solution space using ACHR method.
To sample the solution space thoroughly we run the evolutionary algorithm at least 10 times for 1000 generations each.
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The schemes take advantage of sampling the solution at the nodes (vertices) of each cell.
Clean borosilicate glass capillaries (World Precision Instruments) were used for sampling the solution.
In brief, when a sample solution was introduced on the sample pad, the solution was filtered and the GOx-cortisol conjugate in the conjugate pad was dissolved.
Samples of the solution were intermittently analyzed for PO2, PCO2 and pH.
For high-quality measurements, it is imperative that the temperatures of the buffer and the sample solution be the same.
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