مطالب

Culture encompasses the values, norms, traditions, beliefs, and customs of a society, with clothing representing one of its most significant elements. In analyzing the traditional attire of an ethnic group, two key aspects are of importance: the cultural patterns influencing choices of material, color, design, and tailoring methods, and the symbolic and functional roles of clothing. Certain garments play vital roles across various social, cultural, occupational, and religious contexts. The Qashqai are one of the major nomadic tribes of Iran, primarily residing in the southern and southwestern regions of the country. The distinctive features of Qashqai clothing set it apart from that of other ethnic groups, despite notable similarities with the attire of the Lurs. Based on archival research and fieldwork, this study explores the historical evolution of Qashqai clothing. It aims to identify the earliest documented references to their attire through textual sources and visual representations, and to discuss the key factors contributing to its continuity. The findings reveal that although traditional Qashqai clothing has undergone changes over time, particularly among men, where modern styles are increasingly replacing it, it continues to be preserved among Qashqai women, especially during ceremonial events.

The goal of investors in forming a stock portfolio is to obtain the highest return for bearing the lowest risk and portfolio optimization is one of the most complicated problems in the field of finance and investment. It is an NP-hard problem, and in general there is no definite method in polynomial time to find an exact solution for it. In this research, to solve the problem of choosing the optimal stock portfolio, the multi-criteria decision making method has been used under conditions of uncertainty. In order to implement the algorithm and evaluate it, the monthly returns of the Tehran Stock Exchange indices were used between 2018 and 2013. The results can be examined from two different perspectives. From an analytical and technical point of view, the results can be discussed. From a technical point of view, presenting a new technique for doing things can give the capital market participants the confidence that they can choose a stock portfolio using a new tool. From an analytical point of view, the existence of decision making algorithms in providing the optimal portfolio is a new step that can be used in the combination of fundamental analysis and the use of dynamic stock portfolio.

Structural design extends beyond merely creating forms to withstand forces; it incorporates various technical and non-technical elements within architectural design. The true value of structural knowledge emerges during the design process when these elements are thoroughly understood. Achieving this understanding necessitates the provision of diverse types of structural knowledge capable of informing design and analysis. Additionally, by exploring various structural design methodologies, two principal types of cognition — "geometric" and "numerical" — can significantly help designers navigate the complex requirements of structural design. This research aims to investigate the different forms of structured knowledge relevant to architectural design, ultimately addressing the central question of how geometric and numerical comprehension of structures contributes to the architectural design process. The research employs a descriptive-analytical method with a comparative study approach. It begins by defining and detailing the characteristics of geometric and numerical cognition within the design framework, subsequently elucidating their interrelationship in architectural design. Findings suggest that geometric and numerical cognitions of structures, articulated through distinct languages, correspond to various roles in designing mechanical and spatial aspects, as well as different levels of structural comprehension at various design stages. Geometric cognition, due to its linguistic proximity to the design step, has the capability to examine and apply structural knowledge from the initial stages of form design to its actual construction phase. On the other hand, numerical cognition primarily focuses on the detailed examination of the mechanical and load-bearing aspects of the structure in its analytical step.

Introduction: Academic performance, as one of the most important criteria for evaluating students' ability to complete their studies, can grow under the influence of social skills, social acceptance, and respect for moral privacy. With the understanding of this importance, the present study was conducted with the aim of the relationship between social skills and social acceptance with academic performance, considering the mediating role of ethical privacy. Material and Methods: The research method was descriptive-correlation study. The statistical population consisted of 645 middle school students of Babol province, using Cochran's formula, 347 of them were selected by one-stage cluster random sampling method. Four standard questionnaires of social skills, social acceptance, respect for moral privacy, and academic performance were used for gathering data. The face and content validity of the questionnaire was confirmed by experts and through factor analysis. The reliability of the instrument was confirmed using Cronbach's alpha coefficient. Data analysis was done using Pearson's correlation coefficient and path analysis in SPSS and Lisrel statistical software. Results: The results showed that the relationship between social skills and social acceptance with students' academic performance was positive and significant, and the mediating role of ethical privacy in the relationship between social skills and social acceptance with students' academic performance is positive and significant. Conclusion: Based on the results; in order to increase academic performance, it is possible to increase the social skills and ability of social acceptance of students in the context of respecting moral privacy.

Background: The rapid development of fifth-generation (5G) networks highlights challenges in extending coverage to remote and underserved areas due to infrastructure limitations and cost constraints. UAVs (drones) equipped with 5G base stations emerge as an innovative solution to this problem. Objective: This study aims to analyze the potential of drones as mobile 5G base stations to enhance connectivity in remote regions, addressing challenges like optimal deployment, energy efficiency, and user coverage. Methods: The research utilizes algorithms like Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) for placement and energy management of drone-based 5G stations. Simulation models were employed to test these algorithms, with key metrics including coverage efficiency and energy consumption. Results: The study shows that drone-based stations can significantly improve coverage in remote areas, achieving up to 95% user coverage with optimized algorithms. Tethered drones and advanced energy management strategies were instrumental in enhancing endurance. Conclusion: Drones as mobile 5G base stations present a feasible and scalable approach to bridging the digital divide in remote regions. However, energy and regulatory challenges remain critical areas for future research.