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The growing interest in learning English language as an international language through international textbooks has necessitated the need for the evaluation of the cultural content embedded in English coursebooks. With regard to the close interrelation of language and culture, this study investigated the extent to which cultural aspects are represented in two international EFL textbooks. To this end, content analysis was used to analyze two commercial coursebooks (i.e., Summit 1a and Viewpoint 1), which are used in Iranian language institutes. The results of the directed content analysis revealed that two subcategories emerged from the content analysis (i.e., technology and environment), which were coded as an off-list category. Therefore, it was found that the reevaluation and extension of Stern’s (1993) framework for culture is necessary. Moreover, the results of the quantitative content analysis showed that there was not a balanced representation of cultural aspects in the selected coursebooks and the most frequent element was individual values in life. In addition, it was found that there was significant variation between the two coursebooks in the representation of culture. The study concluded that more in-depth investigation of cultural content is needed to develop cultural awareness of language learners. This study has implications for language material developers, language teachers, and language learners.

Purpose: The present study aimed to provide a model of a poststructuralist educational system based on rhizomatic philosophy. Methodology: This study is of a fundamental research type, and the research method was qualitative, specifically utilizing a synthesis research approach. The research environment included all published domestic articles (from 2010 to 2022) and international articles (from 2007 to 2023). Purposeful sampling was used in this study until data saturation was achieved, thus sampling continued until the necessary data for analysis were obtained (23 articles). Following the review of the selected article texts, data were obtained through a combined synthesis method based on interpretive and analytical approaches. Subsequently, concepts were categorized based on their similarities into central categories, and ultimately, core categories were identified by combining the central categories. Findings: The findings revealed that a poststructuralist educational system based on rhizomatic philosophy includes three dimensions: reengineering planning, technological teaching, and curriculum reading. Conclusion: Given that in rhizomatic thinking, hierarchy or other concepts that impose a structure are not possible, democratic structures should be established in determining the strategies and programs of the educational system to ensure the participation of all stakeholders and the utilization of all capabilities and resources.

The study of the dimensions of the Qur’an's miraculous nature has been a central focus of Qur’anic scholars since the time of its revelation. Numerous aspects have been identified as facets of the Qur’an's miraculousness. One such aspect, arguably first significantly claimed by Rashad Khalifa, is the mathematical structure or numerical miraculousness of the Qur’an. Khalifa published his findings in a book titled "Qur’an: Visual Presentation of the Miracle," wherein he outlined 52 examples of the Qur’an's mathematical miracles. These examples include 21 cases of word and letter repetitions, 2 cases of abjad letter calculations, and 29 cases involving the Qur’an's disjointed letters (al-ḥurūf al-muqaṭṭaʿāt), all connected to the number 19, which Khalifa considered a divine code. This study first reflects on the concept of the Qur’an's numerical miracle and outlines criteria for its verification. Subsequently, it examines Khalifa's computational criteria and evaluates all 52 of his claims. Upon thorough review, it was determined that Khalifa's calculations and conclusions are either incorrect or lack at least one necessary condition for establishing a numerical miraculousness.

The desirability of the financial reporting can greatly help the users of finan-cial information in making investment decisions. The purpose of this re-search is to measure the readability of financial reporting using a multi-indicator decision-making model and the artificial neural network method and the role of information presentation time in its improvement. In this research, various indicators have been used to measure the readability of financial reporting, and the quality of reporting is obtained through the rank-ing of companies by the stock exchange. In this research, the number of 149 companies admitted to the Tehran Stock Exchange in the period of 2010-2020 was examined, and to measure the financial readability through struc-tural equations and Stata software, and to test the hypothesis of the research, the regression model and Eviews econometrics software were used. In this study, we have tried to Use machine learning techniques and optimization tools as a way to derive adaptive-robust nonlinear models that can reduce the risk of model error as much as possible. The findings of the research show that the time of providing information has an impact on the readability of financial reporting. The obtained outputs from the estimation of the artificial neural networks and results obtained from estimation, using of this method with evaluation scales concerning random amount and comparing it with adjusted R, we found that there is meaningful relation between the associated variables and return. However, such network has the least error than other networks. The results show an overall improvement in forecasting using the neural network as compared to linear regression method. In other words, our proposed system displays an extremely higher profitability potential. The obtained result can be argued that the more the company's information is provided by the managers to the company's shareholders and investors on time and at the right time, the more readable and understandable the financial reports will be.