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The aforementioned system should meet the heat load of a greenhouse as a sample.
The aforementioned system is shown in Fig. 9.
Optimization of the aforementioned system is performed for two singular objective functions.
Numerical solutions to the aforementioned system, which need rather hard computations, cannot provide results which are suitable to physical interpretations.
This study involves a comprehensive survey in this field, detailed techno-economic assessments, analyses of operational performance, and the evaluation of environmental aspects pertaining to the aforementioned system.
In the aforementioned system, NH3 analyzes took the longest (12 min), followed by CO2 (7 min), O2 (6 min), and pH (3 min).
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All of the aforementioned systems are cataloged into pure software and hybrid/hardware solutions.
For all the aforementioned systems the most significant parameters have been defined to estimate the system performance.
Despite design complexity of the aforementioned systems, the results show that the MOPSO optimization model produces appropriate sizing of the components for each location.
In both of the aforementioned systems, the same downward trend in airborne bacterial counts was observed, where the highest counts were found at the return air segment, followed by the filter and supply air segments.
In order to unlock this potential, it is imperative to understand the barriers and socio-emotional factors which impact on the engagement of these communities with the aforementioned systems.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com