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Because we tried to isolate the effects of litter composition from other large-scale phenomena, several factors interfered in the experiment and potential problems were identified to optimize the investigation.
Therefore, a singular opportunity was identified to optimize the aerobic (t1), to anaerobic (t2), stages time ratio of the cycle for maximum H2 production rate, i.e., the process rhythm.
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It is urgent that optimal therapeutic interventions be identified to optimize independence in the management of one's personal finances.
Therefore, it is essential that these subgroups of subjects be clearly identified to optimize clinical management, rationalize the allocation of economic resources, provide specific clinical and health care procedures, and clarify pathogenetic mechanisms.
However, the pathogenesis and epidemiology of the disease remain largely unknown and more pathogen-specific risk factors should be identified to optimize current prevention programs.
Statistical analysis of release and in-process data coupled with in-depth process knowledge obtained through risk assessment and criticality analysis can provide the means of identifying opportunities to optimize the current process and/or identify areas where enhanced detection mechanisms are needed to ultimately improve end product quality.
Such a study is required to identify ways to optimize the die insert geometry that creates the lattice of holes in the preform.
In order to identify the key parameters to optimize the selector's performance, petrochemical wastewater was tested in a pilot-scale activated sludge system including an aerobic selector.
However, appropriate design principles have to be identified in order to optimize the energy absorption.
Due to the high number of experimental (n=6) and response variables to be studied (n=7) the optimization experiment was divided into two stages: screening stage in order to evaluate which of the considered variables were significant, and optimization stage to optimize the identified factors in the previously selected experimental domain.
A key principle of Lean thinking is that work can be done more efficiently by identifying and eliminating waste to optimize the workflow.
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CEO of Professional Science Editing for Scientists @ prosciediting.com