درخت حوزه‌های تخصصی

The realm of human-computer interaction delves deep into understanding how individuals acquire knowledge and integrate technology into their everyday lives. Among the various methods for measuring brain signals, electroencephalography (EEG) stands out for its non-invasive, portable, affordable, and highly time-sensitive capabilities. Some researchers have revealed a consistent correlation between meditation practices and changes in the EEG frequency range, observed across a wide array of meditation techniques. Furthermore, the availability of EEG datasets has facilitated research in this field. This study explores the effectiveness of the One-Dimensional Convolutional Neural Network (CNN-1D) based novel classification method, which impressively achieved an 62% training accuracy, showcasing the robustness of these models in meditation classification tasks. The proposed methodology unveiling a novel method to differentiate neural oscillations in 4 types of meditators and control. This approach analyzes an EEG dataset of highly experienced meditators practicing Vipassana (VIP), Isha Shoonya (SYN), Himalayan Yoga (HYT), and untrained control subjects (CTR) by employing chi-square, CNN, hyperparameter models for data analysis, The outcomes indicate that different meditation types exhibit distinct cognitive features, enabling effective differentiation and classification.

The aim of this study was to investigate the ranking of effective factors on how to implement timely management of goods and equipment and its evaluation criteria in the power distribution company of the whole country using Analytic Hierarchy (AHP). Five dimensions (production technical factors, managerial level management factors, factors related to IT processes and infrastructure, factors related to processes and factors related to training and manpower) were determined and the research hierarchical tree was drawn. Based on the opinions of experts in this tree, five Next, on how to implement timely management of goods and equipment in time and its criteria interact with each other. To determine their weight, the combined approach of fuzzy AHP and fuzzy DEMATEL was used. The influential and expressive dimensions of each other are the cause, and the dimensions of the factors related to IT processes and infrastructures are part of the influential or expressive dimensions of other effects.

SUBJECT & OBJECTIVES : This research explored the concept of human perfection through the lenses of Ibn Arabi’s Mysticism and Theravada Buddhism Mysticism. The aim was to create a dialogue between Buddhism and Ibn Arabi's mysticism, and to shed light on the similarities and differences in their perspectives on human perfection. METHOD & FINDING : This research presented a comparative research study of the profound mystical teachings of Ibn Arabi, a renowned Sufi mystic, and Theravada Buddhism, the oldest existing school of Buddhism. The study examined the nature of self, the significance of the spiritual journey, and the role of love  in both traditions. This study found that in the approach of the perfect human from Ibn Arabi's viewpoint, a individual achieves unity with the divine; While Theravada Buddhism seeks human perfection through the attainment of the Arhat, a liberated being free from suffering and ignorance. CONCLUSION : The study offered a comprehensive understanding of human perfection from Ibn Arabi's and Buddhist mystical perspectives, and revealed that both traditions challenge the conventional understanding of self and advocate for a transcendent perspective that seeks to realize the ultimate reality of existence. The study also showed that both traditions have different metaphysical and ontological assumptions, as well as different methods and practices of meditation and contemplation. Finally, concluded that the comparative study of Ibn Arabi’s Mysticism and Theravada Buddhism Mysticism can enhance dialogue and understanding, as well as provide insights into the nature of human existence.

The purpose of this work is to use structural analysis to create believable scenarios of Iranian food tourism. In the present study, to formulate plausible scenarios, first by reviewing the literature and interviewing experts, 37 factors affecting food tourism were extracted. The variables affecting the future of food tourism, directly and indirectly, were calculated using a questionnaire and analysis by MICMAC software. Finally, considering the two most critical factors called food festivals and sanctions/international relations, plausible scenarios for the future of Iranian food tourism were developed. Based on the results, four scenarios are presented. These scenarios include Golden Scenario, Limited Scenario, Neglected Scenario and Chaotic Scenario. In Golden scenario, which depicts the ideal conditions, as many suitable food festivals as possible are being held in a country, and sanctions are not imposed. According to Limited Scenario, holding more and better food festivals is on the officials’ agenda, but on the other hand, the country is under sanctions and pressure. In Neglected Scenario, holding festivals is the same as in the past, and the country is not sanctioned. In Chaotic Scenario, depicting the worst-case scenario, the festival process is the same as in the past and has not been developed quantitatively and qualitatively. Also, the country is in a problematic situation of sanctions. Creating Credible The industry's major players and beneficiaries greatly benefit from Iranian food tourism scenarios, which enable them to provide flexible preparation-based programmers in response to shifting circumstances. The techniques and factors that influence the growth of the business will be known to the participants and recipients of food tourism, and this will open up a multitude of opportunities for the players involved.