Also, the BCG only control group, although not significant (p>0.05), showed protective effects by these parameters over non-vaccinated controls.
This study investigates the effect of surfactants and key design parameters on the removal efficiency (RE) of paramagnetic colloidal particles by high-gradient magnetic filtration, and attempts to predict the effect of these parameters by a trajectory model.
Sensitivity analysis is performed to analyze the effect of these parameters, by changing one parameter and others being fixed.
The sensitivity of the model to parameter values such as gas and water velocity and initial temperatures are evaluated accordingly by considering the effect of these parameters on CO2 concentration and temperature profiles.
The effect of these parameters was investigated by comparing analysis results with experimental responses from various component tests published in the literature Esmaeily and Xiao (2002; Saatcioglu and Baingo 1999; Cheok and Stone 1990).
Since all these factors affect the strength of the adhesively joined parts, the effect of these parameters was investigated experimentally by the researchers.
The parameters of the method (henceforth called Core Gene Similarity, CGS) were tested as described below, by measuring the effect of changing these parameters on the maximal discrimination by CGS.
Thus, samples with significant age dispersion reflect slow cooling or a complicated cooling history rather than simple rapid cooling because effects of these parameters are magnified by slow or complicated cooling history (e.g., Gautheron et al. 2009; Brown et al. 2013; Danišík et al. 2017).
(ii) Anaerobic treatment efficiency has a deep effect by several parameters such as temperature, pH, OLR, SRT, HRT, upflow velocity, and size distribution, cause of anaerobic reactor operates under inhomogeneous system (Gas-liquid-solid).
