The purpose of this research was to design a model to measure the general competencies of elementary school students with regard to regard to all domains education and to examine these competencies in elementary school students from the perspective of school principals and assistants. The present one is of the type of exploratory mixed research projects, and the researchers conducted have been collected using two qualitative methods (comparative analysis and interviews with experts) and quantitative methods (researcher's questionnaire based on the research model). In the qualitative part, at first, using comparative content analysis with Meiring's method and based on the fundamental reform doc ument of Education and other high-level documents, 5 main were extracted and the text of the interview based on these elements and considering all domains education was provided to 8 primary education experts who were selected by purposeful and snowball sampling. The results of semi-structured interviews showed that the general competencies of primary school students had 8 common themes and 182 sub-themes. In the quantitative part, a researcher-made questionnaire was created based on the research model, and after validating it, it was given to 70 vice-principals and managers (out of 205 people) of schools in Bukan city in the academic year of 1402-1401, who were selected by multi-stage cluster sampling method, it placed. Finally, the results of Friedman's test showed that the performance of students in spiritual and intrapersonal-ethical competencies is favorable, in learning competencies is weak and in psychological-physical and cultural-social competencies is very unfavorable.

This study introduces the Hill model for modelling sorption kinetics and illustrates its efficacy using formal model selection procedures. Although the coefficient of determination (R2) value can be used to ensure goodness-of-fit of a particular model to a set of data, a measure that incorporates the number of model parameters, such as the Bayesian information criterion, law of iterated logarithm criterion, Akaike information criterion, and the extra sum-of-squares F-test is necessary to undertake reliable model selection. This study undertook a formal model selection procedure based on these criteria, in combination with the coefficient of determination, for a range of candidate kinetics sorption models [the pseudo-second order (PSO), the intra-particle diffusion (IPD), Power, Elovich, and the four and five parameter Hill models]. It was found that the model order that statistically best described the data was Hill 5 > Hill 4 > pseudo-second order > Elovich > Power > IPD as given by the evidence ratios, information criterion weights and Bayes factors. The extra sum-of-squares F-test, only applicable to nested models, confirms the best fit order as Hill 5 > Hill 4 > PSO models. Two new parameters (T and k Hill) have also been defined that give the Hill models a mechanistic meaning directly comparable to the well-defined parameters of the pseudo-second-order model, namely, the pseudo-second-order rate constant k pso and the instantaneous sorption coefficient h pso. In the field of geochemistry the use of the four and five parameter Hill models for describing sorption kinetics has been overlooked with many studies favouring the PSO model. It is strongly recommended that the Hill model be considered more widely as a general predictive tool in geochemistry.

In this study the kinetic modeling of visbreaking reactions for a number of vacuum residue feeds was investigated using available experimental data from the literature. A continuous lumping model was developed for kinetic analysis of visbreaking reactions. The normalized boiling point was used to describe each feed as a continuous mixture and the concentration distribution of the mixture would change under reaction conditions. A continuous model with five adjustable parameters was used to describe visbreaking reactions, and these parameters were optimized for each feed for reaction temperatures in the range of 400–430oC using available experimental data. The model was able to accurately predict the weight percent of each boiling cut in the reaction products.