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Numerical methodologies are firstly applied to sets of spherical particles and compared with benchmark exact analytical solution.
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A verification procedure for the suggested methodology is firstly carried out.
The proposed methodology is firstly tested on a synthetic case, where it is shown that the well2seis correlation attribute can correctly identify key reservoir flow barriers and conduits.
The proposed methodology was firstly demonstrated by applying the designed algorithm to a wastewater plant (WWTP) simulated with the well-established model, i.e., Benchmark Simulation Model 1 (BSM1), then extended to a full-scale WWTP with data collected from the field influenced by filamentous sludge bulking.
In present study, the center composite design in response surface methodology (RS M was firstly applied to optimize the synthesis of multi-wall carbon nanotubes (MWCNTs)–TiO2 composite photocatalyst.
Response Surface Methodology (RSM) was, firstly, applied to approximate objective functions.
Combined design composed of mixture design and response surface methodology (RSM) was firstly applied for simultaneously optimization of extraction conditions (solvent concentration and ultrasonic conditions) to obtain maximum amount of phenolic compounds from virgin olive oil waste.
Within the proposed methodology, a decision group is firstly established.
The methodology of this study is, firstly, groundbreaking.
The methodology of this study is, firstly, groundbreaking.
As such, a methodology of quantifying nuclear vulnerability is firstly established under varying both the magnitude and time instant of sudden stoppage of nuclear power operation.
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