مطالب

Considering that the Qur'an was revealed and translated in Arabic, the translation is the only way to transfer the valuable meanings of the verses of this book. Some scholars in this field, as translators and commentators, have transferred the Qur'anic verses from Arabic to other languages, including Persian, and have paved the way of referring to dictionaries. The current research, with descriptive-analytical method, deals with the issue of how the contemporary Persian translations of the Holy Qur’an have transferred the good interpretations of the Qur’an in the word "Rafth" to the target language. Before dealing with this issue, the word "Rafth" has been analyzed in the Qur'an, Iʿrāb al-Qur'an, dictionaries and interpretations. Then, under the discussed verses, contemporary Persian translations are compared, and finally, the appropriate translation of this word is chosen according to its structure.  The result of the research is that a number of translators have used Arabic (Mu'arrab) and long (Iṭnāb) words to translate this word. And they have included Arabic synonyms in their translation language.

One of the types of Qur'an studies in recent decades among Orientalists and Muslims is the new researches in the knowledge of new fields of order of the Holy Qur'an. Meanwhile, researches based on symmetric order or reverse order have been able to take a good place in this. The present article examines the coherence of Surah Mubaraka Yusuf by adopting the descriptive-analytical method. This article first introduces the concept of symmetrical order theory and then analyzes the rhetoric of Surah Yusuf. Surah Yusuf is divided into sixteen sections and the relationship between the sections of the surah is established in reverse and presents a general and comprehensive model of the relationship of the sections of the surah with each other . One of the results of this research is the proof of the orderly structure of Surah Yusuf in the form of the theory of symmetrical order.

The study intended to investigate the impact of task involvement loads on Iranian EFL learnersˈ collocation knowledge and their level of motivation. To achieve these goals, a sample of 78 intermediate learners were selected based on Solutions Placement Test. The participants were divided into three experimental groups of 26 learners assigned to one of the experimental conditions, namely tasks with involvement load 3 (multiple-choice, MC), and involvement load 2 (Fill-in-the-blanks, FB), and 4 (sentence formation, SF). Before running pretest to the groups, their familiarity with the targeted collocations were tested. Over the treatment course, learners in MC were provided with the collocations requiring them to recognize the right collocations in the multiple-choice format tests. The learners in FB group were provided with the same collocations but were required to complete sentences with appropriate collocations given at the end of the text. Finally, the learners in SF group were asked to make their own sentences using the given collocations. At the end, a learning motivation questionnaire was administered to the learners to determine the possible association(s) of task involvement loads with the learners’ learning motivation. The results of a one-way ANOVA indicated the three groups showed different results on the posttests. However, the SF difference with MC and FB was the highest indicating the highest impact of SF on the learners’ L2 collocations. The results of a multiple regression analysis also indicated different associations between the involvement loads and learners’ motivation. The findings can have pedagogical and theoretical implications for EFL teachers, learners, and researchers.

Introduction: User trust is one of the main ethical principles that affect the success or failure of a social network platform. The multiplicity and interaction of users in social networks leads to the risks of data breach or disclosure of users' information. Therefore, the importance of correct decision-making by the managers of this social network and the prediction of events is of great importance. Therefore, the main goal of this research is to identify the main factors affecting users' trust and solutions to compensate the lost trust among the users of this social network. Material and Methods: The current research was applied and among post-event researches. The statistical population of this research was media and communication experts who were selected using a random sample of 52 people. The questionnaire tool was made by the researcher. Data analysis was done with Kolmogorov-Smirnov test, Friedman test and dynamic systems analysis, and SPSS and Vensim simulation software were used. Results: In this research, 34 factors affecting trust in social networks were investigated. The most important of which were internet fraud, the release of malicious software, the disclosure of personal information, the type of social networks and adherence to ethical principles, etc., and things such as cooperation and coordination between people, responsibility and commitment, benevolence, excessive use of social media in priority. There is an end. The validity of this model was proved by evaluating the appropriateness of the model boundary based on the purpose of the model and ensuring the realistic behavior of the model under limit conditions. Conclusion: It is possible to increase the trust of users as well as the solutions for breaching data and privacy of users through the construction of cause and effect loops and finding the root of their main causes. Also, the effective factors and its solutions in the form of three balance circles were investigated and rooted.