The kinetics of molybdenite oxidation was studied by non-isothermal TGA-DTA with heating rate 5 ºC.min-1.The model-fitting kinetic approach applied to TGA data. The Coats-Redfern method used for model fitting. The popular model-fitting gives excellent fit for non-isothermal data in chemically controlled regime. The apparent activation energy was determined to be about 34.2 kcalmol -1 with pre-exponential factor about 108 sec-1 for extent of reaction less than 0.5

Given the current turbulent business environment, it will not give business owners a decent market share in the conventional way, and the need for innovative and entrepreneurial approaches to the market is strongly felt. Entrepreneurial marketing is the business infrastructure and the most important platform for small and medium business in the field of selected IT companies. Given the background of this field, there is a lack of research in this area, especially on the mediating role of entrepreneurial behavior. The present study is based on applied purpose and descriptive-correlational in nature and method. In the analysis section of the Kolmogorov-Smirnov test, since the results showed that the distribution of data was not normal, Smart Pls software was used for data analysis. The PLS method covers three sections for fitting and evaluating the validity of structural equation models i.e. fitting measurement models, structural model fitting, general model fitting. The results showed that the conceptual model has a good fit. Also, to test the research hypotheses, the path coefficient and the statistical value of t-tests were all confirmed and concluded that entrepreneurial marketing affects small and medium-sized businesses with the mediating role of entrepreneurial behavior.

The van Genuchten Model (1980) is widely-used for the description of the Soil-Water Characteristic Curve (SWCC) of a variety of soils. This study uses the Genetic Programming (GP) for the presentation of equations estimating the van Genuchten (vG) Model fitting parameters for unsaturated clean sand soils. Moreover, this study uses the data derived from the valid dataset of Benson et al. (2014), including 95 measured SWCCs in both drying and wetting phases. The data on the particle size distributions includes the fine-grain percentage (Fines %), d60, d10, besides the residual and saturated volumetric water content and ), as the GP model inputs of set of terminal. As for the model outputs of set of terminal, the fitting parameters for the vG model include a and n. The functions used in the GP training were 'plus', 'minus', 'times', taken from the MATLAB default functions, 'mydivide' proposed by Silva (2007), and some other new power functions included by this study. Accordingly, new equations were presented for the estimation of vG Model fitting parameters for both forms of wetting and drying. Finally, to evaluate the accuracy of the proposed estimation equations, the GP results were evaluated and verified in different procedures.

The purpose of the current research is to design a structure so that it can be used to investigate the drivers of the appropriate implementation of quality 4.0 in the country's steel industry. In order to carry out this research, ten stimuli were initially identified using research literature. Then, using the interpretative structural modeling technique, these stimuli were structured using the opinions of 13 experts. , in order to fit the obtained structure, the structural equation modeling of the tools related to it, including measurement model fitting, structural and general model fitting, were used. For this purpose, a questionnaire containing 33 questions with a five-point Likert scale was designed and in order to complete it, opinions were sought from 214 managers and employees of the country's steel industry. The findings of the research on the high effectiveness of reward stimuli and control of big data in proper implementation have quality 4.0.

Recent empirical studies show that the accounting information contained in the current financial statements does not have a reliable basis for predicting the future performance of companies and key indicators affecting the value of the company such as business model in the traditional accounting model are not reported. The aim of this study was to analyze and evaluate the fit of the measurement and structural model the criteria for disclosure of information of business models. In this descriptive correlational study, 196 people were selected from university professors and experts in the field of finance and business by Cochran sampling method. Data analysis algorithm by partial least squares method was used which includes: measurement models fitting, structural model fitting and the overall fit of the model to assess the criteria for disclosure of information of business models. Fitting of all three parts of the data algorithm and the results of confirmatory factor analysis also showed the desirability and acceptability of the latent structure at the level of criteria. According to the results of the present study, it can be said that the criteria of information disclosure of business models have an appropriate measurement and structural model fit and it can be used to measure and identify the criteria of information disclosure of business models. The results of the research can be considered in the long-term and accurate planning of actors and players influencing the accounting profession to improve the financial reporting system of companies and promote the profession in the future.

This study tries to develop a pattern for identifying effectual factors that influence underpricing the initial share offering of companies to the public. In this study, after selecting the appropriate explanatory variables, to achieve the research goal, the systematic elimination sampling method is considered to select 84 companies among all listed companies at the Tehran Stock Exchange (TSE) and 54 companies among all listed companies at Over the Counter (OTC) from 2003 to 2017. So, to test research hypotheses, the Partial Least Square approach in three sections is used: measurement model fit, structural model fit, and goodness of fit. Results show that information asymmetry, corporate governance, conservatism, audit quality, financial ratios, Continuity of activity, environmental uncertainty, and management overconfidence have a significant effect on underpricing of initial public offerings. Moreover, the findings confirm that the investor’s sentiment and Macroeconomic variables have no significant impact on underpricing phenomenon.

This study includes the regional model design of spatial-location linkages resulted from population flows, activities and businesses in Firouzkooh county, and also provides a suggested regional model fitting and the suggested model's output. The data were gathered from 25 sample villages and 436 operational sample households in 2009. The research methodology is an exploring and descriptive-analytical one using mathematical and statistical models and probabilities theory. Based on the study results, in addition to four absolute, directive, weight and compositional models, a fifth model titled 'regional model' was posed which is a theoretical-comparative model consisting of the 12 forms of spatial-location linkages designed in both intra-regional and inter-regional levels. Regional model fitting shows that all the sample villages have urban and rural linkages; and having more than one type of spatial-location resulted from population flows, they depend on compositional model.

Environmental protection and sustainable environmental development are important concerns of human societies and the main unquestionable. Banks, considering the environmental risks in financing companies, play an essential role in protecting the environment and moving towards a green economy. As one of the dimensions of green banking, green financing is an innovative financial instrument that tries to improve the environmental balance with the industries' development and economic growth. The present research aimed to design and analyze the financing model of companies through the Iranian banking industry in establishing a sustainable environment, which has a three-step approach. First, by interviewing 16 experts and encode, 77 components in the form of 21 categories were identified based on Grounded data theory, and the model related to design and hypotheses were identified. And next, the structural equation modeling method was used to evaluate the model-fitting and hypotheses test, which showed the significant results of the measuring and structural models, the optimal model fitting, and hypotheses confirmation. Then, by using the interpretive structural modeling method, the components of green financing were prioritized, in this stage, 20 components with the highest frequency of code were entered, and finally, the priority of the components was recognized in 6 levels.

Accurate prediction of phenological development is important in the wheat)Triticum aestivum(. An important parameters on phenology can be suggest temperature and photoperiod. This study was conducted with 12 sowing dates to quantify response of jointing rate (JOR) to temperature and photoperiod in wheat cultivars. The regression models fitted to JOR against temperature were beta, dent-like and segmented function. Meanwhile, quadratic, negative exponential and segmented models fitted to JOR against photoperiod (these models were used as 9 combined models to describe JOR as a function of photothermal day). The results showed that beta- quaradic function was the best model to describe JOR as a function of both temperature and photoperiod. Using this function, the base, optimum and ceiling temperatures were estimated 4.5, 27.3 and 40 ₒC respectively. Critical photoperiod and photoperiod sensitivity coefficient were estimated 20.02 to 22.69 hour and 0.0109 to 0.0475 respectively. Also biological day for cultivars between emergence to jointing with the beta- quaratic function examin between 25.2 to 31.9 days.The results of this study can be used in crop simulation models.

This study aims to provide causal model for relation of Internet addiction with emotional self-regulation, rejection sensitivity and online self-disclosure with mediation of social anxietyin Students.
All students of Mohaghegh Ardabili University studying in 2015-2016 were selected as sample group. The participants responded to the questionnaires of social anxiety, addiction to the Internet, online self-disclosure, rejection sensitivity, and emotional self-regulation.
The results showed that the proposed model was not appropriate in some model fitting parameters and it needed some modifications. As a result, the final data model fitting with the root of mean square error approximately 0.05 was confirmed by eliminating insignificant path of direct effect of rejection sensitivity on Internet addiction.
According to the results, the variables including emotional self-regulation, rejection sensitivity and online self-disclosure through social anxiety had an indirect and significant effect on Internet addiction. So, this model can play an important role in reducing Internet addiction so that 53% of the Internet addiction variance is explained by the variables considered in this model.