A unique contribution of this paper is to predict the probability of return migration of Mexican immigrants, and investigate if predicted return migration is influenced by past US earnings.
Accordingly, net in vivo effects of these opposing contributions are difficult to predict, because they depend on the geometries, concentrations, and surface properties of both the aggregating species and the macromolecules that define the crowded environment.
One of the major contributions of the current study is to use predicted values in addition to experimental ones.
Moreover, the proposed group contribution model is able to predict the freezing point of organic compounds to within an average absolute relative deviation of 10.76%, which is of adequate accuracy for many practical applications.
The group contribution model developed is able to predict the standard molar enthalpies of vaporization to within an average absolute relative deviation of 3.7%, which is of sufficient accuracy for many practical applications in chemical and petrochemical engineering.
Group contribution methods are used to predict the properties of the formulated molecules.
In this contribution, a mathematical model is built to predict the changes in water concentration in both a solid food matrix and a fluid carrier during supercritical carbon dioxide (SC CO2) drying.
A group-contribution method was developed to predict critical temperature of organic compounds by using only the chemical-structure information.
A mechanical formula is used to predict the contribution of carbon fibre fabric to shear capacity of strengthened RC beams.
The goal of this paper is then to predict the contribution and the relative importance of the solar radiation, convection, reradiation and conduction on the chemo-thermal response of massive concrete structures at early-age.
