alireza talebpour

Various perspectives exist regarding the role of historical and cultural studies in understanding the Quran, particularly the legal verses. Scholars such as Nasr Hamed Abu Zayd and Mujtahid Shabestari argue that a proper understanding of these verses is rooted in the historical and cultural studies of the Quranic revelation era, emphasizing the need for cultural translation. On the contrary, Quranic scholars like Allameh Tabatabai and Ayatollah Jawadi Amoli believe that the Quran is self-sufficient and complete in its guidance. The aim of this research is to present a model that evaluates each legal verse as an input based on influential criteria in determining the dependency of understanding the verses on the cultural context of the Quranic revelation era. The output of the model categorizes the verse as either independent or dependent on cultural studies. Using a descriptive-analytical method, the perspectives and discussions of key researchers in this field were studied. The determining criteria were extracted, and the evaluation model was presented as a decision tree diagram, incorporating model elements and their relationships. The model provides the capability to assess the components governing legal verses, consisting of eight features or elements and four rules or relationships. Based on evaluating these eight features for the legal verse input, the model determines the output, indicating the dependency or independence of the verse on specialized cultural studies.

Coreference resolution is one of the essential tasks of natural languageprocessing. This task identifies all in-text expressions that refer to thesame entity in the real world. Coreference resolution is used in otherfields of natural language processing, such as information extraction,machine translation, and question-answering.This article presents a new coreference resolution corpus in Persiannamed Mehr corpus. The article's primary goal is to develop a Persiancoreference corpus that resolves some of the previous Persian corpus'sshortcomings while maintaining a high inter-annotator agreement. Thiscorpus annotates coreference relations for noun phrases, namedentities, pronouns, and nested named entities. Two baseline pronounresolution systems are developed, and the results are reported. Thecorpus size includes 400 documents and about 170k tokens. Corpusannotation is done by WebAnno preprocessing tool.

In humanities studies, researchers use Qur’anic verses as a data source for various purposes. Sometimes, from a religious perspective, they consider the Qur’an as the most important source of research and believe that the Qur’an as a heavenly book contains instructions that provide a kind of lifestyle to guide people to happiness and salvation in this world and the hereafter. Therefore, they refer to the Qur’an as a divine source and try to obtain their foundations and frameworks from the Qur’an and accommodate their solutions and ideas with it. Another group believes that humanities should be extracted from the Qur’an, and they speak of Qur’an-based humanities. In any case, considering the importance of the text of the Qur’an for conducting human sciences studies, the purpose of this research is to facilitate the first step of such researches; It means, firstly, to extract all the verses needed for studying human relations from the Qur'an; Secondly, by determining the basic characteristics of human relations, it provides the possibility of categorizing and listing these verses in various ways, according to the goals of the researcher.
In the current research, the verses of the Qur’an were examined one by one with the descriptive-analytical method, and with the help of several contemporary commentaries, the verses that contained mutual human relations were extracted and recorded as a row in an Excel file; Also, the basic characteristics of these relationships, such as the first party and the second party, the type, the Qur’anic recommendations in this type and the basic areas with six titles (religious, social, family, economic, political and scientific), have been determined for each relationship. As a result, all the verses containing human relations have been counted and ten characteristics have been identified for these verses.
As a result, 2295 verses were extracted from all the verses of the Holy Qur’an, in a form of dataset, which contain 3586 relationships. Researchers who want to do research in the Qur'an from various legal, ethical, political, economic, educational, and other aspects will find all the verses they want by using this dataset. In this article, this dataset - archived on Shahid Beheshti University's website - is introduced as a form of information service.
More than one-third of the verses of the Qur'an speak of mutual human relations, and these relations have an amazing variety, so that the possibility of interdisciplinary study of the Qur’an and human sciences is available in all its main branches.

As data and context continue to expand, a vast amount of textual content, including books, blogs, and papers, is produced and distributed electronically. Analyzing such large amounts of content manually is a time-consuming task. Automatic detection of feelings and emotions in these texts is crucial, as it helps to identify the emotions conveyed by the author, understand the author's writing style, and determine the target audience for these texts. The Qur’an, regarded as the word of God and a divine miracle, serves as a comprehensive guide and a reflection of human life. Detecting emotions and feelings within the content of the Qur’an contributes to a deeper understanding of God's commandments. Recent advancements, particularly the application of transformer-based language models in natural language processing, have yielded state-of-the-art results that are challenging to surpass easily. In this paper, we propose a method to enhance the accuracy and generality of these models by incorporating syntactic features such as Parts Of Speech (POS) and Dependency Parsing tags. Our approach aims to elevate the performance of emotion detection models, making them more robust and applicable across diverse contexts. For model training and evaluation, we utilized the Isear dataset, a well-established and extensive dataset in this field. The results indicate that our proposed model achieves superior performance compared to existing models, achieving an accuracy of 77% on this dataset. Finally, we applied the newly proposed model to recognize the feelings and emotions conveyed in the Itani English translation of the Qur’an. The results revealed that joy has the most significant contribution to the emotional content of the Holy Qur’an.

Some religious modernists believe that correct and scientific comprehension of the Qur’an is merely provided through historical and cultural study of the context of revelation time. Others, on the other hand, advocate that knowing interior and connected evidence suffices for Qur’an comprehension. Further, they say that exterior and unconnected evidence such as cultural and historical studies can have little effect on Qur’an comprehension. These various attitudes made us research them and represent a model to assess the dependency of Qur’an comprehension on cultural and historical conditions of revelation time. The present study examined works of scholars in this field such as Nasr Hamid Abu Zayd, Khorramshahi, and Tabatabaei through a descriptive and analytical method. Then, a model was recommended to evaluate the dependence of understanding of the Qur’an on the cultural and historical conditions of revelation time. The model includes four components: cause of revelation; vocabulary; subject matter; expressions which encompass twelve rules based on the features of verses in each component. Input of the model is one verse and its output is a dependent, independent, or semi-dependent mode.

Proving the miraculous nature of the Qur’an as one of the methods to believe in the Qur’an as a divine text has always attracted the attention of the researchers of the Qur’an; nevertheless, the published efforts on this subject are facing numerous methodological challenges. This research attempts to introduce a new and original method exempt from the challenges of the present methods by utilizing some of the techniques in mathematical sciences, logic and statistics. This scientific case-based method rates the effective parameters in the recognition of scientific miracle for one case. Accordingly, it will calculate the certainty of each case and proceeds to combine the ratings of various cases of scientific miracle to calculate the degree of certainty of the divine nature of the book based on those results. In combining the ratings, a threshold will be determined based on human belief behavior. An advantage of this method is that it is extra-religious, data driven, quantitative, applicable to all texts, and generalizable to the entire content.

This study analyzes the effects of lifestyle, nutrition, and diets on the status and risks of apparent (symptomatic) COVID-19 infection in Iranian families.

A relatively extensive questionnaire survey was conducted on more than 20,000 Iranian families (residing in more than 1000 different urban and rural areas in the Islamic Republic of Iran) to collect the big data of COVID-19 and develop a lifestyle dataset. The collected big data included the records of lifestyle effects (e.g. nutrition, water consumption resources, physical exercise, smoking, age, gender, health and disease factors, etc.) on the status of COVID-19 infection in families (i.e. residents of homes). Therefore, an online self-reported questionnaire was used in this retrospective observational study to analyze the effects of lifestyle factors on the COVID-19 risks. The data collection process spanned from May 10, 2020 to March 19, 2021 by selecting 132 samples from more than 40 different social network communities.

The research results revealed that food and water sources, which contain some natural hypomethylating agents, mitigated the risks of apparent (symptomatic) COVID-19 infection. Furthermore, the computations on billions of permutations of nutrition conditions and dietary regime items, based on the data collected from people’s diets and infection status, showed that there were many dietary conditions alleviating the risks of apparent (symptomatic) COVID-19 infection by 90%. However, some other diets tripled the infection risk.

Some natural hypomethylating agents in food, water, and environmental resources are against the spread and risks of COVID-19.

Stress is an important part of a college student’s life. Psycho-technology has greatly helped students cope more effectively with stress. The aim of the present study was to compare the effectiveness of three methods of intervention for stress management in students based on mindfulness-based stress reduction, including blended therapy, smartphone mobile application, and face-to-face therapy. A quasi-experimental study was designed with pretests, posttests, and follow-ups for a month on randomly selected students. The first group was treated by the Aramgar application only, the second group by both the face-to-face therapy and Aramgar application, and the third group by the face-to-face therapy only. The DASS-21 was utilized for both pretest and posttest administration. The ANOVA and post hoc tests were applied to analyze the data. The mean age of the participants was 24.29 ± 3.21 years. There was a significant difference in the mean score reduction of depression, stress, and anxiety between the three groups (P < 0.001). The post hoc test showed that the blended therapy group had the greatest mean score reduction on stress, depression, and anxiety among the three groups. The blended approach could improve the mental health of students more than the two other approaches. Therefore, the use of mobile platforms of new technologies is highly suggested along with face-to-face interventions in clinics to support people within their daily routine.

The research utilizes resources and the wisdom of the crowd of IT experts and other participants in industry to increase the effectiveness of policies and decisions in the area. To achieve this goal, 107 future and emerging technologies from foresight reports, and research programs in Europe, Japan, Taiwan and Gartner firm were extracted. Then out of these technologies, 69 cases (categorized in 14 subject areas) were acknowledged by expert's panel for applying as the Delphi inputs.
By, using the Delphi method (two round), IT R&D barriers, challenges that are expected to respond and effective organizations in IT R&D investment, and prioritized has been determined according to the panel members. Then, panel member view about each technology was evaluated by Criteria - including: degree of expertise, Importance, Forecasted time of technological realization (in the word) and widespread use of technology in Iran, Iran's status in the life cycle of knowledge and, Impact of technology in IT applications area.
The results of the Delphi process was reported in national level, include: Delphi panel members demography, public questions and specialized questions for each of the technologies. Finally the research provides some recommendations for decision makers.

Among different types of assessing information systems success, end user satisfaction is one of the most applicable measures. Investigating factors influencing user satisfaction in business process management systems according to Delone and McLean’s success model, and Sahin and Shelly’s satisfaction model, is our point in this survey. Five factors influencing on user satisfaction and perceived usefulness, including information quality, system quality, service quality, flexibility and system expertise was investigated as a model. Statistical population is Keshavarzi bank’s business process management system users in Tehran, and sample includes 291 people. The tool for collecting data was questionnaire, and correlation and linear regression was used for estimating relations using SPSS software. The findings show system quality has most influence on dependent variables, and after that, information quality has the second order. System expertise, flexibility, and service quality also influence on user satisfaction and perceived usefulness. Finally all of the hypothesis were approved.

With the emergence of social networks، the relationships among people found a new horizon. Nowadays، a large number of users sign up in social networks with different goals and they get involved in different activities. On the other hand they affect on one another while their roles and effects are not the same. Some of these users have more effects on the others according to their job status، educational backgrounds and their attractive notes. These users، whom we call the power nodes، can change the perspective of many users and move them to specific directions. The aim of this research is the identification of the power nodes in Tebyan، as a social network، and such aim was fulfilled through a discovery of the concealed models in the characteristics of the users. This research has followed the standard methodology of CRISP-DM. To reach this end، after the identification of the power nodes، according to the attained sum scores، from three parameters: central relativity، the page rank، and the users activities، a classification was provided from an algorithm tree. The achieved results have shown that the most significant features in determination of a user''s power in a social network are education، age and gender.

In recent years and along with development of the web 3 and expansion of online social networks on the Internet, the influence of social network on societies has become one of the most important issues in the field of technology policy making. The influence of social networks on the different aspects of the modern life has led to the removal of the boundaries restricting the traditional media to one-way communication. This article aims to extract and classify some country strategies towards the social networks. First of all, programs, laws, regulations, style sheets, and policies at the national level were studied, and then documents from twelve countries including, Arabi countries (as a whole) and European Union (with some European countries) were examined in order to understand the government strategies on OSN. These strategies were classified into five strategic a alternatives: (1) creation and diversification strategies, (2) cooperation strategies, (3) intended use strategies, (4) promotional, training and awareness strategies, and (5) defensive strategies. Extracting strategic alternatives, not only helps decision-makers and experts to formulate multiple strategies for social networks, by taking advantage of the opportunities provided by this technology to reduce the threats resulted from it, but also it can be used in other strategic research concerning cyber space.

Nowadays، the Internet is a pervasive new medium in banking systems. However، in Iran due to the lack of effective strategies، banks’ websites and their online services have not developed efficiently. This research aims to explain and design a model to evaluate banks’ websites in Iran. In this study، statistical population is the customers of banks selected from the residents in the city of Mashhad who have used the services of the Internet banking over 3 years. A questionnaire is designed to collect the primary data. After collecting the required data through questionnaire، statistical methods such as regression analysis and path analysis are used to estimate empirical model. The findings demonstrated that factors such as web loyalty، perceived quality، marketing communications، customer services and web awareness play a significant role in explaining the website quality.

E-Business is one of the most fascinating areas of information Technology. Managers should seek out means for making decision towards optimizing resource development in this area in order to control their expense and capital allocations at a higher, strategic level. To do this, manager must first identify their level of e-business development and plan to improve the status quo by identifying factors contributing to the growth in this approach. The present paper aims to construct and develop intelligent models for determining the organization status quo and management decision-making towards improving the situation using fuzzy [logic] tools. Thus for modeling these factors and their impact, the contributing factors in development of e-business approaches were identified by literature survey. These were later categorized using Delphi Method. Furthermore the FCM model was used to graphically illustrate the causal relationships among factors, including the mode and means of their mutual impact.

In patients with cardiac artery disease, a myocardial perfusion scan, which is a non-invasive method, is utilized. This study is conducted to develop an advantageous software applicable to quantitative myocardial SPECT perfusion. Each cross-section of the left ventricle was segmented by applying a fuzzy clustering method. After obtaining the myocardial skeleton of the left ventricle from its short axis cross sections, we made use of fuzzy logic to decide whether the pixel belongs to the myocardial muscle and any perfusion perturbation or not. The reconstructed image was divided into 18 equivolume sectors. The features were extracted in each sector and, finally, were compared with a normal data bank. Abnormal critical conditions in rest and stress studies and coronary artery disease diagnosis were investigated in a set of about 317 images. Measurement and allocation of different myocardial sectors to specific coronary arteries were accomplished by utilizing collected information about the patients (75 men and 62 women), and the validity of the artery obstruction diagnosis has been proven in 40 patients undergoing coronary angiography. Our developed software DCAD (b) has demonstrated a considerably good performance in the diagnosis of coronary artery occlusion and can be a promising method aiding nuclear medicine specialists in their diagnosis.