Using this model, we extensively explore the effects of important factors on the structural alterations of the polymers/monolayer complex, including the polymer concentration, the polymer ionization fraction and the ionic concentration of the salt solution.
To evaluate the influence of these two factors on the structural behavior of steel columns in fire conditions, a series of H steel columns were loaded to their limit states at specified temperature levels.
Passing a variable search according to Shainin, the influences of various design factors on the structural performance of the reinforced joints were evaluated.
Extended parametric analysis was further carried out in accordance to the FEA model to study the impacts of typical factors on the structural behaviour.
This study used SPSS 15.0 for Windows and Amos 7 software tools to perform the statistical analysis on the survey data, including descriptive statistics and confirmatory factor analysis of the structural equation model.
Moreover, it tests several hypotheses regarding the underlying factors of this structural change and the way particular sociodemographic groups adapt to it.
The following analysis section provides the results of the weekday and weekend SEM models in terms of factor-to-indicator relationships (findings of the measurement model) and factor-to-factor relationships (findings of the structural model).
This hypothetical "multi-requirement" of MgtC is in accordance to several reports suggesting a connection of this virulence factor with the structural stability of Mg2+ channels in the bacterial cell membrane [7], linked to survival in Mn+2 depleted environments, or modifying the membrane potential of the host cell and affecting the host-pathogen interaction [33], [34].
The inherent characteristic of this type of connection is an important factor affecting the structural behaviour of the entire purlin system.
