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The present paper describes a multifactorial optimization of 4 critical HPLC method parameters, i.e. gradient time (tG), temperature (T), pH and ternary composition (B1 B2) based on 36 experiments.
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Despite the development of pharmacologically active molecules being a multifactorial optimization problem, where other considerations too, such as bioavailability and toxicity, play an important role, high affinity of a compound for its intended biological target is a necessary requirement for achieving a potent, selective and ultimately efficacious drug.
This includes optimization of financial resources.
Optimization of constraints.
Optimization of inventory purchasing, management and tracking.
Optimization of S parameters.
Optimization of probability score.
Optimization of classifier parameters.
2) Optimization of economic efficiency.
Traditionally, optimization of pacemaker timing is divided into AV optimization and VV optimization.
All these results demonstrate that the composition of the seed mixture offers a multifactorial opportunity for optimization.
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