مطالب

In the 1980s, Polish researcher Maria Składankowa promoted in her publications a theory stating that the representatives of the Sistani family described in Ferdowsī's Šāh-nāma were reflections of the rainy and sunny steppe shamans. The four main representatives of this lineage were said to alternately represent these particular shamans beginning with the primordial and rainy shaman personified by Sam and ending with the solar shaman in the form of Sohrab. Another rain shaman according to Składankowa was to be Rostam. This article aims to introduce Składankowa's theory to the international research community and to subject it to verification. The battle between Rostam and White Dīv, which was the seventh trial in Rostam's cycle of seven trials, was used for verification. This is a clash between two national heroes and the circumstances of this battle blur the boundaries between what is commonly understood as good and as evil. Thus, this is an example that perfectly demonstrates Składankowa's theory of rejecting religious notions of good and evil and focusing on the primeval connection between man and nature when it was man's greatest ally and enemy. Neither Rostam nor White Dīv, according to Składankowa's theory, are therefore completely good or completely evil, like any element of nature, which can be a life-giving or destructive force. Identified with good forces, the sun warms the earth and causes vegetation but can also cause drought and the death that follows. Identified with evil forces, rain can cause floods, but without it, vegetation will die. There is no absolute good or absolute evil in nature. Nor is there one in the battling Rostam and White Dīv. Ferdusī's description of this combat in Šāh-nāma clearly goes back to this primeval myth leaving the story universal.

Artificial intelligence (AI) has the potential to revolutionize the field of archaeology by enabling researchers to analyze large amounts of data quickly and accurately. In this article, we have tried to implement some methods and algorithms in image processing on the image of ancient artifacts. We implemented the algorithms on two historical models as examples, one of which is the image of a coin decorated with the image of Farkhan the Great and the other is the coin with the image of Khursheed Daboui to obtain the details of these works from the images on the computer. We used Edge Detection, Hough Transform, imcontour, and Filter Images Using Predefined Filters algorithms in MATLAB software, each of these algorithms is used for specific purposes in image processing. By using digital image analysis techniques, researchers can gain a deeper understanding of the objects and sites they are studying and can make new and important discoveries about the history and culture of ancient civilizations.

Dakkato al-Qadaa is a place in the Kufa mosque where, according to historical narration, Hazrat Ali (pbuh) used to judge and many of his judgments were narrated in this place. The study of this place is important in terms of the role that mosques have played in various aspects of the spiritual and material life of Muslims. This place can be researched in several ways: the historical reference of the place; the ancient aspect of the remaining signs; Jurisprudential rulings related to judgment in the mosque. According to the studies that were carried out, such a place definitely existed in the history of Islam, and even now there are signs of it in the mosque of Kufa, which is honored and celebrated by the Shiites of the Prophet, which is one of the characteristics of The richness of Islamic civilization is in terms of judicial functions. The knowledge of this specific place depends on the knowledge of the mosque of Kufa on the one hand and the examination of the place of mosques in the Islamic culture and civilization and how proceedings were conducted in the early ages of Islam. This article is organized with a descriptive and analytical method using the remaining written documents and physical works available in the place.

A recent trend in photogrammetry is the use of unmanned aerial vehicles (UAVs) for photogrammetric purposes. A data acquisition sensor is mounted on an unmanned aerial vehicle to collect data during short-range aerial photogrammetry from a low altitude. This system is capable of filling a significant gap left by other conventional methods in the field of map production. The improvement in processes over conventional methods is the basis for this method's effectiveness. A significant portion of valuable data is obtained after the first processing stage as a result of automation in all data production processes. Real orthoimages, 3D models, and a detailed point cloud of the area are all included in this data. Drawing and mapping maps have gotten much easier, more accurate, and quicker thanks to modern software. We are looking for ways to use these kinds of methods in documenting the archaeological heritage in this article by applying this method at the historic site of Susa. The experts and practitioners in this field will benefit from this method, which is a collection of the most effective techniques for geometric measurement, analysis, and interpretations related to issues raised in archaeology.

The Internet of Things (IoT) is one technology that can revolutionize traditional methods and transform sports infrastructure. To promote the adoption of IoT effectively, it's vital for sports manager to understand the factors that positively and negatively affect it. The aim of this study was to investigate how perceived risk impacts people's willingness to use IoT technology in sports. This quantitative study used a survey method and applied a descriptive approach. The statistical population included Iranian athletes, and 394 individuals completed questionnaires using a non-probability sampling method. Data analysis was performed using Smart PLS3 software. Results showed that perceived risk has a direct and negative impact on perceived ease of use, willingness to use, and perceived usefulness. However, its effect on attitude towards use was insignificant. The study also confirmed the positive impact of perceived ease of use on perceived usefulness and attitude towards use. Perceived usefulness had a greater effect on the latter variable. Additionally, perceived usefulness had a significant positive impact on willingness to use IoT technology in sports, as did attitude towards use. Attitude towards use also had a significant positive impact on willingness to use IoT technology in sports. The study recommends implementing strategies to enhance and improve perceived usefulness, ease of use, and attitude towards use while reducing perceived risk to increase acceptance and willingness to use IoT technology in sports.