درخت حوزه‌های تخصصی

The complexity of the competitive business environment has highlighted the need to be aware of the organization's strengths and weaknesses and to continuously improve processes. Therefore, managers are looking for a solution for performance measurement of their organization to be able to promote and improve their organization. Evaluating the performance of listed companies in the stock exchange organization is important because in addition to the managers of the organizations, stock traders can also evaluate the companies and make the necessary decisions about holding, selling or buying the shares of these companies in a timely manner. One of the organization's performance measurement solutions is to use financial ratios. Given that a separate study of financial ratios does not provide a correct view of the efficiency of the organization, so the aggregation of the effect of financial ratios seems to be effective. DEA and MCDM are suitable because they enable the achievement of performance index by considering several factors simultaneously, so the performance obtained from this method is reliable. the main purpose of this study is to ranking pharmaceutical companies in the Tehran Stock Exchange between the years 2018 and 2020 using DEA approach and MCDM to provide a single ranking through the Copeland method.

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 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.