درخت حوزه‌های تخصصی

Critical discourse analysis was developed by three outstanding linguists such as Fariclough, Van Dijk and Wodak, who offered rather similar approaches towards discourse analysis. Their common point is that CDA should take a critical orientation to discourse and investigate the aspects of ideology and power hidden in the discourse. The salient purpose of CDA which differs from other related approaches is that it tends to explore the implicit underlined ideological and power patterns in the written and spoken discourses. As a whole, CDA tends to uncover the implicit ideological prejudice in the discourse which brings about a dominance, hegemony, inequality and racism, and discrimination. These scholars basically give an ideological perspective to their approaches by the inspiration from Halliday's systematic functional linguistics. Halliday's systematic functional linguistics (SFL) is one of influential frameworks which has been extensively applied for the textual analysis of a number of domains such as critical discourse analysis. This study intends to discover how it is possible to find out the ideological dimension of discourse by exploring the linguistic elements particularly the transitive verbs. It is hoped that it provides insightful guidelines for the CDA researchers to analyze a discourse with its ideological perspective. It concludes that the transitive verbs are most significant in transferring the ideological attitude of writer or speaker. These types of verbs are deliberately used within a textual discourse in which each textual element is interrelated to each other and has an influential impact of the signification of these verbs.

Some companies manipulate financial statements to users and commit fraud. Therefore, effort to detect fraud is essential. Meanwhile, data mining techniques have increasingly popular. This article aimed to use an advanced model to detect fraudulent financial statements and compare it with the other methods. Crowd optimization algorithms have been considered to solve many optimization problems, but so far, they have not been used in fraud detection research to determine the optimal value of SVM parameters and optimize ANN architecture. In this research, for the first time, the PSO algorithm was used as one of the best innovative optimization algorithms for these optimizations due to its memory and high convergence speed, as well as having solutions for exiting from local optimal points and cooperation and information sharing between particles to detect fraud. For this purpose, the financial statements of companies admitted to the stock exchange from 2017 to 2023 were reviewed. The findings showed that the SVM-PSO method, with 89.86%accuracy, compared to the ANN-PSO method, with 80.43%accuracy, and the LR method, with 69.57%accuracy, performs better in identifying suspected fraudulent financial statements. Combining the PSO algorithm with the SVM method has proven superior to other methods due to SVM's high ability to reduce false negatives and PSO's ability to fine-tune its parameters. This combination can be used for high-accuracy financial statement fraud detection.

This research examines the role of in-between spatial systems in enhancing presence quality, taking the Qeysarieh precinct of the Isfahan Bazaar—one of the principal connectors between Naqsh-e Jahan Square and the historic bazaar network—as the study area. The precinct was selected owing to its high density of pedestrian flows, adjacency to tourism–service–commercial land uses, and diversity of intermediary spatial elements. The study adopted a mixed-methods (quantitative–qualitative) approach. In the quantitative component, perceptual data from 351 users regarding four dimensions—environmental, physical, functional, and psychological—were collected through a standardized questionnaire and analyzed using the one-sample t-test and Friedman test. In the qualitative component, the spatial structure was evaluated through a space-syntax approach at four levels: axial analysis (Integration, Choice, Mean Depth), visibility analysis (VGA) and isovists, agent-based simulation, and assessment of overall intelligibility. Quantitative results indicated that psychological, functional, and environmental dimensions were assessed above baseline, whereas the physical variable showed no significant difference. Syntactic analysis showed that the Zarrabkhaneh route and Qeysarieh Chahar-Suq exhibited the highest centrality and distributive roles, and that chahar-suqs exerted greater influence on movement and stopping than corridors. The low coefficient of determination for intelligibility (R² = 0.11) indicates a need to improve perceptual guidance within secondary networks. Integrating quantitative and qualitative findings suggests three principal strategies whose implementation, by aligning form, function, and perception, can increase the sustainability of presence quality and enhance user experience within historic urban fabrics.

Transportation is a cornerstone of the tourism industry, which is considered one of the most important and lucrative global resources at the dawn of the third millennium. The primary assumption of public transportation development based on sustainable tourism is increasing tourist satisfaction. Additionally, one of the most advanced urban development perspectives that can initiate improvements in current urban conditions and serve as an effective step toward sustainable development is TOD. Suitable, reliable, comfortable, fast, and affordable transportation facilities are prerequisites for tourism development, as tourists consider both cost and time in their decisions. The choice of transportation system or the availability of an appropriate system affects these two factors when accessing tourist destinations. The objective of this research is to apply a transit-oriented development approach to enhance tourism in Tonekabon. The study is applied and descriptive-analytical, utilizing documentary research, observation, and questionnaires for data collection. Additionally, the Fuzzy IHWP method is employed to identify potential tourism zones, with a focus on transit-oriented development. The results indicate that the northern, central, and coastal areas of the city, which cover 29% of its total area, have high potential for locating public transportation stations, such as taxi stands, vans, bus terminals, and bicycle lanes. Finally, recommendations are provided, including widening streets, establishing bicycle lanes, and recreational-hospitality activities in the coastal area, improving taxi services to all areas, widening the main bridge connecting the east and west of the city, and constructing public parking near terminals and the coastline.