درخت حوزه‌های تخصصی

This study provides a comparative analysis of the rhetorical, pragmatic, and semantic strategies used by English-speaking and Arabic-speaking politicians to manipulate their audiences. By examining political speeches from both linguistic contexts, the research reveals distinct cultural patterns in manipulation. English-speaking politicians often employ direct, fact-based appeals (logos), while Arabic-speaking politicians rely more on emotional and collective identity appeals (pathos). These strategies reflect the cultural and linguistic norms of each group. Additionally, the study highlights the evolving impact of digital media on political communication, showing how manipulative strategies have adapted to new technological platforms. The findings have important implications for political communication strategists, media professionals, and educators. They underscore the need for culturally nuanced communication strategies in cross-cultural political discourse, offer insights for enhancing public media literacy to combat manipulation, and provide a framework for further research into the role of digital platforms in shaping political rhetoric. Additionally, the study highlights the evolving impact of digital media on political communication, showing how manipulative strategies have adapted to new technological platforms. The findings have important implications for political communication strategists, media professionals, and educators. They underscore the need for culturally nuanced communication strategies in cross-cultural political discourse, offer insights for enhancing public media literacy to combat manipulation, and provide a framework for further research into the role of digital platforms in shaping political rhetoric.

The present study examined the comparability of Paper-Based (PB) and Computer-Delivered (CD) IELTS in the academic module reading section, focusing on Iranian IELTS candidates' cognitive and metacognitive strategies. The study intended to determine if the delivery mode had any impact on the use of these strategies. To this aim, 200 upper-intermediate learners were randomly selected and divided into two groups to participate in the study under the two aforementioned test conditions. They completed a test-taking strategy survey under both test conditions. Moreover, five participants from each test condition group took part in think-aloud protocols. The quantitative data were analyzed by means of Independent-sample t-test and Multivariate Analysis of Variance (MANOVA) to test the research hypotheses. Content analysis of the think-aloud protocols was also conducted to identify the strategies employed by the IELTS candidates in both PB and CD formats. The results revealed that the PB group had a significantly higher mean than the CD group on the cognitive and metacognitive processes used in academic IELTS. However, the think-aloud protocols indicated that, in many cases, these differences were minimal, with cognitive and metacognitive processes being similarly employed across both formats. Moreover, significant differences were observed between the PB and CD groups in their reading test-taking strategies. The implications of these findings for test preparation and design are discussed.

The influence of Iranian architectural art on Indian architecture is a category that is as old as the cultural-civilization relations between Iran and India, and according to historical evidence, its history goes back to the third century BC, when we witnessed that in the capital of the Mauryan empire, Patliputra, There were influences of Iranian architecture.This flow after the emergence of Islam in the 7th century AH / 13 AD. And especially after the formation of Islamic states in India, it became more intense. The art of Iranian-Islamic architecture with its unique characteristics was used in the construction of large mosques in India, and while combining with Indian architecture, it benefited from Indian materials that were suitable for the climate there. In this regard, Indian architecture benefited from the accuracy and subtleties of Iranian architecture, and from the combination of those two new and independent styles emerged in the art of architecture, which became known as the Indo-Iranian style. Before the Gurkanians came to power, the Indian aspect of this style was more obvious, but in the Gurkanian era, its Iranian aspect prevailed. This style in the construction of the tombs of Gorkani sultans was widely inspired by the garden tradition of the Safavid era.

Naderi Tepe is located in the southeast of Mashhad and is located next to a communication route. According to the typology, the wares of this site include the variety of species and the quantity of pottery pieces from the Chalcolithic to the historical period. During the study of this site, based on the obtained wares, 10 pieces of the sherds and two pieces of stone quern were analyzed by petrography and their thin sections were examined in order to find the minerals in them. The purpose of this experiment was to identify the components of each sherd, the difference in composition and materials between samples, determine the percentage of each composition, determine the temperature of pottery firing according to the available minerals, and investigate the origin of the raw materials that make up wares. In the laboratory, a thin section was prepared from the pottery and then studied with an optical microscope. The results of the studies show that the mineralogy of the sherds from the site shows the better quality and purer paste of the sherds produced from the middle Bronze Age to the end of this period, which shows the high skill of the potter in making and knowing the raw materials in the production of pottery. The results of this research can be the basis for the comparison of ware types in terms of construction techniques and compounds used in them in the surrounding areas, especially in the Mashhad Plain.

The fourth millennium BCE in northeastern Iran was marked by intricate interactions at both regional and trans-regional levels. During this time, Tepe Hissar’s inhabitants engaged in significant cultural exchanges involving pottery, figurines, and metal objects with various regions of central Iran. In the latter half of the millennium, these connections shifted towards northeastern Iran and the Gorgan Plain. Hissar became a hub for large-scale, centrally organized industries, particularly in metalworking and gemstone craftsmanship, such as lapis lazuli, which contributed to greater social stratification, evidenced by wealth accumulation in elite burials.New pottery chronologies offer a revised understanding of the cultural developments at the Hissar settlement and their social and cultural consequences, as seen in the material culture of settlements and burials. The primary goal of this research is to present the quantitative and qualitative changes in pottery and the influence of Tepe Hissar throughout the fourth millennium BCE. These changes indicate the formation of extensive internal and external cultural relationships, reflecting the cultural dynamism of Hissar during the fourth and third millennia BCE. It can likely be concluded that despite environmental heterogeneity in northeastern Iran, there were cultural homogeneities and similarities in this region. These can be observed in the resemblance of pottery styles and unified management techniques, which are attributed to cultural interactions between these communities within geographic and cultural frameworks.

This research investigated the development of a stock trading strategy for companies on the New York Stock Exchange (NYSE), a prominent global market. Data was acquired from established libraries and the Yahoo Finance database. The model employed technical analysis indicators and oscillators as input features. Machine learning classification algorithms were used to design trading strategies, and the optimal model was identified based on statistical performance metrics. Accuracy, recall, and F-measure were utilized to evaluate the classification algorithms. Additionally, advanced statistical methods and various software tools were implemented, including Python, Spyder, SPSS, and Excel. The Kruskal-Wallis test was employed to assess the statistical differences between the designed strategies. A sample of 41 actively traded NYSE companies across diverse sectors such as financial services, healthcare, technology, communication services, consumer cyclicals, consumer staples, and energy were chosen using a filter-based approach on June 28th, 2021. The selection criteria included a market capitalization exceeding $200 billion and an average daily trading volume surpassing 1 million shares. Evaluation metrics revealed that the designed random forest trading strategy achieved a good fit with the data and exhibited statistically significant differences from other strategies based on classification learning algorithm.