درخت حوزه‌های تخصصی

Advertising costs billions for many industries, including the sports industry, but many fail to accomplish their goals for various reasons. Poor advertising is caused by ignorance of the customer's needs. Neuromarketing made companies more aware of their clients and target market and examines unconscious responses to commercials and products, unlike traditional marketing. Knowing these factors helps companies build ads more accurately and cheaply. This research aims to conduct a systematic analysis of valid experimental tests in the field of neuromarketing. Specifically, we will focus on studies that utilize electroencephalogram and eye tracker to investigate advertising appeals and the cognitive and emotional processes of consumers. The objective is to analyze the data from these papers. To conduct an analysis, we will examine the number of publications per year, the publishers involved, the keywords employed, the methods utilized, the gender of participants, the issue of advertising stimulation, the style of advertising attractiveness, and the emotional and cognitive processes included. Our literature review was based on the Boland method (2017). A keyword search yielded 171 publications, which we refined using the Prisma standard guide (2009). This identified 43 English Scopus empirical studies from 2008 to 2023, which we categorized and sorted. Although the sports industry has smaller turnover than others, it can provoke powerful emotions and attract many people. Due to the specific nature of sports, emotive ads work better than others. According to the findings, the use of the eye tracking system is expanding. Among the cognitive and emotional processes, it was found that attention is used more than other processes.

The preservation of invaluable cultural heritage assets, including ancient artifacts and historical sites, remains a critical global concern. Existing perimeter protection methods, such as CCTV systems, infrared sensors, and conventional surveillance technologies, often exhibit significant limitations in terms of spatial coverage, sensitivity to subtle intrusions, and adaptability to varying environmental conditions. This paper presents an innovative and highly effective solution utilizing fiber optic sensor (FOS) technology, which offers numerous advantages, including lightweight construction, immunity to electromagnetic interference, ease of installation, high sensitivity, and reliable performance across a broad range of applications. Specifically, the study introduces novel designs for distributed acoustic FOS systems based on Michelson, Mach-Zehnder, and Sagnac interferometric configurations. Through comprehensive theoretical analysis, simulation modeling, and experimental validation, the research explores their practical utility in protecting cultural heritage. Two detailed case studies—focused on the Louvre Museum in France and the ancient archaeological site of Persepolis in Iran—demonstrate the implementation, functionality, and real-world efficacy of the proposed systems. The findings highlight how these FOS networks, particularly when combined with advanced artificial intelligence and machine learning algorithms, can effectively detect, classify, and localize human-induced acoustic disturbances such as walking or digging, while minimizing false alarms caused by environmental noise. This enhanced discrimination capability not only improves overall security but also significantly reduces the need for extensive human surveillance. Moreover, these systems enable precise, continuous, and real-time 24-hour monitoring over vast indoor and outdoor areas. In conclusion, the integration of FOS technology offers a scalable, intelligent, and transformative approach to addressing the complex and evolving challenges associated with the long-term preservation and protection of cultural heritage sites around the world.

The present study aimed to examine kinetic units, implicature, and coherence in Persian audio descriptions. To this end, 10 Persian audio-described movies, totaling 1,004 minutes, were analyzed, and their audio descriptions (ADs) were documented, resulting in 3,485 records. These records were filtered for descriptions related to characters’ movements, yielding 2,095 ADs, which were analyzed in three phases. First, the type of kinetic unit in each AD was identified. Second, the implicature of kinetic units was examined to determine whether it was included in the ADs or ignored. The final phase addressed coherence in ADs. The results revealed that gesture was the most frequent kinetic unit in Persian ADs, followed by manner and posture. Moreover, 96% of kinetic units lacked implicature, and only 2.5% of implicatures related to characters’ movements were ignored in audio descriptions, which does not raise serious concerns about accessibility for blind and visually impaired audiences. Regarding coherence, 97% of Persian ADs were found to be coherent, highlighting the substantial accessibility they provide to their target audience. However, accessibility was not solely contingent upon linguistic and pragmatic factors. Technical challenges, such as background music overshadowing ADs, posed additional barriers to media accessibility.