moloud soleimani

This study aimed to investigate parenting values, good parenting, and the ideal child from the perspective of Iranian parents and children. The method used in this qualitative research is phenomenology study. The study population included all parents and children living in Tehran from the period 1399 to 1400. The sample consisted of 23 parents and children who were studied by semi-structured interview. The data obtained from the interviews were analyzed. The result of coding was 385 primary codes, 65 concepts, 17 categories, and 3 general categories.A good parent class includes 5 main categories including moral and human qualities; Providing material and spiritual needs; Having appropriate communication skills; being Informed and resourceful; Being powerful and decisive.The ideal child class includes 6 main categories including moral and human qualities, commitment and responsibility, independence and endurance, activity and self-respecting, adaptation and satisfaction, and health. The resource category of parental origins includes 6 main categories including lived experience, culture, and society, media, religion, education, parents. Finally, based on the result of the study, the model of parenting values is designed and presented. The results of this study showed that the values of parenting and being a good parent from the point of view of children indicates that a good parent has appropriate moral and personality traits, meets the material and spiritual needs of the family, has appropriate communication skills, is knowledgeable and resourceful and  is strong and decisive.

Each set of wavelet coefficients contains part of the time series at different time scales. Implementing wavelet transforms by utilizing the best wavelets at the right levels will have a significant impact on financial analysis results. Therefore, the present study seeks to present a proposed model for measuring firm financial sustainability by using an economophysical method using a sample of 86 companies listed in Tehran Stock Exchange during 2015-2019. The results of the research hypothesis show that the prediction of financial sustainability based on the economophysical method can provide better results. According to the findings of the study, it can be stated that the dendrogram observed in the Dabshiz wavelet is more accurate in decoupling and consequently clustering.

The concept of financial sustainability has been in the economic literature for nearly two decades. In the theoretical financial literature, firm financial sustainability can be described as a financial system consisting of financial intermediaries, markets, and market infrastructures that are capable of withstanding risk shocks and resolving financial imbalances. Therefore, according to the above argument, the purpose of the present study is to present a proposed model for measuring the financial sustainability of the company by using Econophysics and artificial neural network using a sample of 132 companies listed in Tehran Stock Exchange during 2015-2019. The results of the first hypothesis show that the prediction of financial sustainability based on the Econophysics method can provide better results. Also, based on the result of the second hypothesis, the Bayesian method can predict better financial sustainability. Finally, by comparing the Econophysics and Bayesian approaches to predicting financial sustainability of the firm, it can be concluded that the prediction of financial sustainability based on the economophysical method yields better results than the Bayesian method.