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This study aims to compare the ethical systems of Aristotle and Al-Biruni. The former was built in the ‘West’, but the latter was on the ‘Middle’ toward the ‘East’. Reviewing their literature and introducing the new concepts, this study found that while Aristotle’s system influenced Al-Biruni’s in the application of a scientific frame to ethical issues, the two systems shared a concern not for the moral judgment but for the moral agent. However, they differ from each other in the conceptualization of the agents. Aristotle’s model is the person of virtue evaluated by the golden mean, but Al-Biruni’s is the person of manliness rated by the reversibility of others. This comparison advanced the differentiation that the moral pragmatic is devoted to Aristotle’s and the moral practical to Al-Bruni’s. The study would contribute to resolving the current moral confusion and would demonstrate a model to integrate the systems of the western and eastern worlds.

This article presents new outlooks toward gender transfiguration in David Hare’s Skylight and Pravda in the light of Judith Butler’s theory of Gender Performativity. It examines whether the linguistic performance of Hare's characters is an innate feature or a hallucinatory effect of their naturalized and gendered bodies. Butler asserts that performativity is a ritualized production and a constrained reiteration of cultural intelligibility under the prohibition pressed by power regimes. Surveying Skylight and Pravda elucidates that gender identity is an imitation, which leads Hare’s characters to resignify and recontextualize the parodic gender reproductions. Moreover, the gendered subjects were subordinated to the language that interpellated them, so that each individual became a linguistically stylized occasion. Therefore, the ever-shifting identities of Hare’s characters were established by the power of the injurious language that interpellated the subjects. Springing from the discussion about gender performativity of Hare’s characters, the article concluded that identity is a phantasmatic construction, and what an individual performs is a non-intrinsic parody of the culturally constructed regulations. As a result, the culturally acquired gender is crafted based on the socially recognizable standards, which shape the directionality of the self-representation.

A Reviving Rationality Theory offers a knowledge-based and practical framework to rebuild rational thinking in response to the complex crisis of our time. This crisis comes from the limits of traditional rationality, modern instrumental rationality, and postmodern relativism, which have led to stagnation, alienation, environmental destruction, and theoretical paralysis. Reviving Rationality defines rationality as an evolving system of knowledge and action based on three principles: coherent epistemic pluralism, constructive criticism, and evolutionary responsibility. Using multilayered critical realism, it examines reality at four levels (empirical, event-based, structural, and evolutionary) and draws knowledge from five sources (logical reasoning, empirical experience, practical intuition, social dialogue, and historical wisdom). By solving the paradox of fallibilism through distinguishing between the content, method, and purpose of knowledge, and emphasizing human dignity as a core principle for both knowledge and action, this theory moves beyond classic dualities like structure versus freedom or individual versus society. It systematically critiques instrumental rationality, postmodern relativism, and static traditionalism, proposing a three-stage process (analysis, synthesis, decision) and four criteria (logical coherence, alignment with evidence, practical effectiveness, and ethical consistency) to evaluate beliefs and decisions. Reviving Rationality is not a return to traditional or modern rationality, nor a full acceptance of postmodern critiques; instead, it provides an evolutionary, responsible, and inclusive framework that combines the strengths of scientific methods and logical analysis with diverse knowledge sources and ethical considerations to tackle complex issues like climate change and social inequality. This framework is a theoretical tool for rational and humane thinking, open to critique and improvement.

The Neighborhood Rough Set (NRST) method is a valuable approach for selecting a subset of features from a complete dataset, enabling us to preserve the essential information that the entire feature set provides. In financial datasets, which often contain high-dimensional input features, effective feature selection techniques are crucial to identify the features that yield the most predictable results. In this work, we use neighborhood concepts to discover data dependencies and reduce the number of features in a financial dataset based solely on the data itself, without relying on additional information. This process also includes removing extra features. To facilitate a simple algorithm, we use the properties of neighbourhood rough sets to formulate a Binary Integer Linear Programming (BILP) model. Optimal solutions to these problems are obtained using genetic algorithms. Our approach allows for feature reduction from minimum to maximum cardinality. We demonstrate the efficiency of our proposed method compared to other techniques through various tables showing the results on several benchmark datasets characterized by unbalanced class distributions. The financial dataset used in the present study is taken from the UCI Machine Learning Repository.

Purpose : This research aims to develop an advertising policy model in digital marketing based on eye tracking. Method : The research method is qualitative and based on grounded theory. Semi-structured interviews were used to collect information, and data analysis was performed using the Strauss and Corbin method and the paradigm model. Sampling was theoretical sampling using targeted (judgmental) techniques, based on which 15 interviews were conducted with managers and marketing and advertising experts. Findings : The findings of the research show that during the process of open, central and selective coding, the advertising policy model based on the use of eye tracking consists of Causal categories that include Advertising content, Quality of environmental advertising and Promotional features; contextual categories consist of advertising slogans,  billboard elements, analysis of customer eye movements;  intervening categories consist of online advertising,  advertising costs, advertising through media and mass communication; Central categories that consist of environmental advertising status, development of advertising influence, effective advertising on customers' intentions; category of strategies includes advertising message attractions, evaluation of target environmental advertising selection process, advertising based on customers' taste; consequence category includes competitive advantage, currency innovation, Promotion of strategic marketing decisions. Conclusion : The study concludes that the eye tracking-based advertising policy model provides a comprehensive framework for enhancing advertising strategies. The model emphasizes the importance of considering various factors such as advertising content, consumer behavior, and contextual elements in developing effective advertising campaigns. The research highlights the potential of eye tracking in optimizing advertisements and gaining a competitive edge in the market. From a managerial perspective, the model offers actionable insights for marketers to improve customer engagement and increase advertising effectiveness by leveraging eye tracking data. It also suggests that advertisements should be tailored to consumer preferences and the context in which they are viewed. The study advocates for further research in this area to broaden the application of eye tracking technology in other marketing domains and service sectors. From an academic standpoint, this research contributes to the limited body of knowledge regarding environmental advertising and the use of eye tracking in marketing. It provides a foundation for future studies to explore the relationship between visual marketing and consumer behavior, offering insights that could foster innovative advertising strategies in the digital marketing field.

Introduction: In democratic systems, the moral characteristics of presidential candidates play a significant role in political legitimacy and public trust. Two fundamental ethical principles in this context are accountability and trustworthiness, which manifest through legal principles and statutory duties. Accountability refers to accepting the consequences of decisions and being answerable to the people and institutions, while trustworthiness implies safeguarding public interests and preventing the abuse of power. Therefore, the present study aims to examine the ethical components of accountability and trustworthiness among presidential election candidates within the legal frameworks of Iran and Iraq. Material and Methods: The present study is a review that examines responsibility and trustworthiness of presidential election candidates in the legal systems of Iran and Iraq. In order to achieve this goal, related articles and books were examined. Conclusion: From a legal standpoint, Article 115 of the Iranian Constitution stipulates that the president must be "a manager and prudent," which inherently requires accountability. Furthermore, Islamic ethical teachings place strong emphasis on rulers being responsible and answerable (such as the hadith: "Each of you is a shepherd, and each of you is responsible for his flock"), and in this regard, the Guardian Council oversees candidates' qualifications with attention to their sense of responsibility. In Iraq’s legal system, Article 68 of the Constitution requires the president to have a good reputation, competence, and loyalty to the country. Based on Islamic ethical teachings and tribal traditions in Iraq, accountability is also considered a value.

Critical Incidents (CIs) have become central to language teacher development by promoting reflective practice, a key element of teacher education. This study examines critical incidents (CIs) in English as a Foreign Language (EFL) classes in public high schools. Researchers conducted semi-structured interviews with 10 teachers and 15 students across 7 public schools, analyzing narratives using thematic analysis within a complexity theory framework. Three themes emerged: Teaching high and lows, classroom management issues, and language proficiency. Teachers felt challenged by the frequent number of CIs, associating their management skills and immunity with their response to these events, and viewed Iranian public schools as particularly susceptible. Similarly, students highlighted both the negative and positive aspects of CIs and noted cultural diversity and language skills as key factors. The study's findings align with complexity theory by highlighting the dynamic, interconnected, and adaptive nature of teaching and learning in public schools. The emergent patterns of emotional responses, classroom management strategies, and language proficiency interactions reflect the principles of sensitivity to initial conditions, self-organization, and co-evolution.

Introduction: The rapid expansion of the Internet of Things (IoT) as one of the most transformative technologies of the digital age has led to the production and processing of vast volumes of personal and contextual data. While this transformation offers significant opportunities to improve quality of life, it also generates profound ethical challenges, particularly in the areas of privacy and data management. The invisible, automated, and pervasive nature of data collection within the IoT ecosystem calls into question traditional concepts of informed consent, individual control over data, and ethical accountability, and intensifies risks such as pervasive surveillance, data misuse, information insecurity, and the erosion of individual autonomy. Material and Methods: This article adopts a review–analytical approach to examine the scientific literature related to data ethics and privacy in the Internet of Things. Based on existing studies, it explores the foundational aspects of the topic and ultimately draws conclusions from the information reviewed. Conclusion: The study demonstrates that privacy in this context requires a contextual and relational redefinition. The findings indicate that ethical responsibility within the IoT data cycle is distributed in nature, and that multiple actors-from designers and companies to governments-play a fundamental role in upholding principles of data ethics. Ultimately, it can be argued that adherence to data ethics and privacy principles is a prerequisite for the formation of social trust and the sustainable acceptance of the Internet of Things. Without simultaneous attention to technical, ethical, and social dimensions, the development of this technology will face serious challenges.