Note that this paper focuses on examining the optimum conditions for removal of humic substances when multiple variables are considered simultaneously; the information derived is particularly important for scaling up operation.
In summary, although several strategy trials examining the optimum timing of ART during opportunistic infections have found that early ART is beneficial [ 10, 11, 26], the exceptions are those studies involving patients with severe CNS infections in resource-limited settings [ 13, 27].
For the conventional engine, for the conditions examined, the optimum CA50 varied between about 5 and 11°aTDC, and the optimum CApp varied between about 9 and 16°aTDC.
Flow rate was examined under optimum conditions (pH, eluent type, dosage, and eluent volume).
Different topologies of a multilayer feed forward artificial neural network (MFFANN) were examined and optimum architecture was determined.
We have examined the optimum treatment program of CBHA on pig nuclear transfer embryos and observed the development rates in various treated and non-treated groups.
The objective of the current work was to examine the optimum combustion phasing (based on maximum bmep) as functions of engine design and operating variables.
Additionally, degradation of different azo dye solutions with two different chemical structures (reactive and direct dyes) was examined with optimum conditions.
Therefore in this paper, inscribed CCD and response surface methodology were employed to examine the optimum conditions for removal of humic substances from peat swamp runoff using coconut copra.
This study examined the optimum pyrolysis conditions of polyurethane for the yield of a solid product with a high iodine number using central composite design (CCD) on the secondary model in response surface methodology (RS M.
