درخت حوزه‌های تخصصی

Purpose: Parenting plays an important role in the correct guidance of children to their career path succeed. Therefore, the current research was conducted with the aim of analyzing the educational components of parents for career path success from childhood. Methodology: This research in terms of purpose was applied and in terms of implementation method was qualitative from type of exploratory. The population of this research was all the documents including books and articles about the career path success from childhood in the range of 2013 to 2022 years. According to the inclusion criteria number of 15 books and articles were selected as samples with the purposive sampling method. Data was collected by taking notes from documents. Also, to analyze the data used from Hsieh and Shannon (2005) content analysis method. Findings: The findings indicated that the educational components of parents for career path success from childhood had 6 comprehensive codes, 14 organizing codes and 56 primary codes. In this study, comprehensive codes include fostering love to learning (with 2 organizing codes of setting the context for learning and practical learning opportunities), group activity training (with 3 organizing codes of learning manners, integrating teamwork skills in everyday life and preparing to solve teamwork conflicts), training resourcefulness and resourcefulness (with 3 organizing codes of teaching the art of positive skepticism, exposing the child to resourceful and resourceful models and fostering resourcefulness skills), developing an intellectual perspective (with 2 organizing codes of providing new experiences and training of foresight), preparation for networking and conversation in the labor market (with 2 organizing codes of fostering reflective performance and fostering practical and communication skills) and age-appropriate understanding from the labor market (with 2 organizing codes of child's mental preparation for the future labor market and practical preparation for the future labor market). Finally, the pattern of comprehensive and organizing codes of educational components of parents for career path success from childhood was drawn. Conclusion: According to the findings of this study, for the career path success can use from the identified comprehensive and organizing codes in this research and provide the ground for their realization.

Recent studies on financial markets have demonstrated that technical analysis can help us effectively predict the stock market index trend. Business systems are widely used for stock market analysis. This paper uses a genetic algorithm (GA) to develop a stock market trading optimization system. Our proposed system can generate a decision-making strategy for buying, holding, and selling stocks for each day and generate high returns for each stock. The system consists of two stages: removing restricted stocks and producing a stock trading strategy. Accordingly, evolutionary computation, like GA, is highly promising because of its intelligence, flexibility, and search strength (fast and efficient). The multiple-objective nature of the utilized algorithm can be regarded as the center of gravity of the research question. The proper functioning or malfunctioning of the resulting portfolio management can be employed as a benchmark for selecting or discarding the algorithm. On the other hand, the research question is focused on the application of technical analysis indicators. Therefore, both aspects of the research question, namely the multiple-objective nature of the algorithm in terms of the analysis method and technical indicators in terms of features selected for analysis, must be taken into account.