The present article aims at studying the method of Gilbert in modern literary critique. However, it must be noted that this article is not a systematic research on all works of this French Anthropologist, rather it introduces one of the works of this writer, called "Anthropological structures of imaginations".At the same time our study, which is based on the concepts of literary of literary critique, only seeks to introduce a thought with a preliminary effort; besides, when reviewing the works of Gilbert Durand, We come to this conclusion that the principles of his thoughts, even his perception and understanding of literary critique, are totally inspired by radical changes of biliogy with an outlook which has influenced our century. The article is divided into three sections: In the section, we will try to define the key concepts in the words of Gilbert Durand such as "myth", "motives", "old patterns" and "symbol". Then in the second section, We Will have a look at the main theme of the book "Anthropological structures of imaginations", i.e. the time; finally, in the third section "imaginations regime", which is the most important part of this article, we will try to show the structural classification of imaginations from point of view of Gilbert Durand.

Purpose: To determine the impact of document summarization parameters on the evaluation metrics of classification algorithms for Persian texts. Methodology: 1000 news texts were collected from yjc. ir news agency website based on the number of visits, with at least 100 and at most 350 words, out of which 250 were selected randomly. Titles, summaries, and the texts of the 250 docs were included in three groups. The number of documents were increased by 100 percent in two stages, to 500 and 1000. After text preprocessing and deleting stop words by programming code, TF-ISF summarization technique was implemented on them. 12 Excel files were created from the words of original texts. Then, Bayesian, Decision tree, SVM and Rulebased algorithms implemented by Rapid Miner software, which provided 120 Excel output files for verifying accuracy, precision, and recall. Finally, five comparisons between the results were considered including comparing of results with 100% increase in the number of documents, comparing the parameters of TF and ISF summarizer, comparison of Bayesian classification algorithms, decision tree, Rule and SVM, comparing the original text and summary and comparison of the documents labels. Findings: The results indicated the superiority of evaluation criteria in classification of 1000 documents relative to those of 250 and 500, which in 84% of cases. Meanwhile, the ISF summarizer method compared to TF in 82% of comparison showed a greater impact on classification accuracy. In addition, the values of the accuracy in Bayesian classification and the SVM were better. The highest value obtained from the accuracy (96. 67%) in the SVM classification by 1000 documents of original text and ISF summarizer technique. Conclusion: Appropriate parameters for summarization and efficient classification techniques can improve the accuracy of Persian text classification process, while the required time also decreases. The best results obtained in the evaluations show that ISF summarizer, Bayesian and SVM algorithms, 1000 documents, as well as the main text are more effective.

The rock mass classification system is utilized to categorize rocks, and has been used in engineering projects and stability investigations. It focuses on the parameters of rock mass and engineering applications, which include tunnels, slopes, foundations, etc. Rock mass classification is valuable in the areas where the collection of samples and yielding of observation is difficult. With the advancement in technology, various machine-based model algorithms have been used, i.e., ANN and MLR in rock mass classification from prior few years. In the present work, the rock mass classification has been discussed, i.e., rock load, stand up time, RQD, RMR, Q, GSI, SMR, and RMi along with their applications. Considering all the parameters, it is concluded that for slope stability in a poor rock condition, the applicability of GSI is sufficient when compared with RMR. GSI also provides a highly accurate valuation of geo-mechanical properties, making it a valuable tool for the engineers and geologists. Also, the RMR values obtained from the ANN model provide better results for tunnels when compared with MLR and the conventional method. The ARMR classification of Slate, Shale, Quartz Schist, Gneiss, and Calcschist at 5 different locations of the world were 51-54, 66-70, 57-60, 35, 65-70, respectively.  The range for slate and shale was found to be moderately anisotropic, while quartz schist, gneiss, and calcschist were found to be slightly anisotropic and highly anisotropic.

Medical data mining has been a widespread data mining area of late. Mainly, diagnosing cancers is one of the most important topics that many researchers studied to develop intelligent decision support systems to help doctors. In this research, three different classifiers are used to improve the performance in terms of accuracy. The classifiers are Support Vector Machine (SVM), Adaptive Boosting (AdaBoost), and Random forests (RF). Two machine learning repository datasets are used to evaluate and verify the classification methods. Classifiers are trained using the 10-fold cross-validation strategy, which splits the original sample into training and testing sets. In order to assess classifier efficiency, accuracy (AC), precision, recall, specificity, F1, and area under the curve are used (AUC).  The Experiments showed that the AdaBoost classifier’s achieved an accuracy of 100\% which is superior in both datasets in comparison with SVM and RF with AC of 97\%. The accuracy is also compared with another study from the previous work that uses the same datasets, and the results demonstrated that the current research has better accuracy than the other study.

Qur’, an is the holy book of the last prophet, which has given us plans in all areas of life, especially beliefs, morals, and rules. Meanwhile, the category of beliefs and rulings is one of the most challenging issues, and each category has various angles and aspects that require the issues related to them to be explained properly. Knowing the Arabic grammar and syntax will be very helpful in knowing God’, s intention in the Holy Qur’, an. In the meantime, the diacritic of the word Arjulakum in verse 6 of Surah Ma’, idah has created a challenge for Shia and Sunni groups, and each of them issued a ruling based on their reading of the word Arjul. This study has carefully analyzed the obtained results with analytical, descriptive, and comparative methods, and the findings suggests the reading of this word in three forms including Nasb, Jarr and Raf. Shia believe that the recitation of Nasb’,and Jar is correct in both cases, but in the case of reading Jar, the diacritic of that place are assigned to the word ‘, ‘, Ro’, usukum’, ’, . Therefore, Shia proved that just as the head should be anointed, the feet should also be anointed. However, Sunni scholars believe that it does not matter if Arjul is Majrur (jar status) or Mansub (nasb status). In both cases, the face and arms are focused, so washing the feet is obligatory. In the third examination, which is the Raf reading,This theory has very few fans and Arjul is considered to be the Mubtada (subject) for Khabar (predicate) Mahzuf (omitted) (in Arabic syntax).

There is an impressive variation in the subjects and the themes of Bahram Beyzai's works. To create his literary works he uses different literal techniques that are going to be explained in present study besides reviewing, analyzing and categorizing his fictional topics.24 Beyzai's literary works including 13 screenplays, 8 plays and 3 barkhanies (loud verbal narrating) have been reviewed in present study through an analytic-descriptive method, in a way that the topics have been used by Beyzai are determined, initially, and then each of them are analyzed presenting some specific instances. Beyzai's favorite topics generally include national, social, historic and religious subjects and protesting cinema. He has displayed different spaces in his works, although he has paid more attention to social and national issues and has created numerous works in these fields. To bring these social themes up he benefits several artistic techniques such as “adaptation from ancient texts”, “allegory” and “utilization of public literary abilities”.

Narrative methods is one of the complex and ongoing human challenges. Perhaps the first human question in the communication process has been, "How do I quote this?" This is a question that still persists today. In addition, other questions arise in the minds of narrators: "What are the main elements of storytelling?", "What are the narrative methods?" And "What method should I use to tell this story?" Evidence shows that, apart from the serious but general efforts of Plato and Aristotle or the unqualified theorizing of other scholars, nothing did in this field and didn’t establish a comprehensive system for the classification of these methods. This qualitative research was conducted by descriptive-analytical method using reliable library documents and sources, to achieving a comprehensive classification of narrative methods for the use of narrators. So, the definitions of the narrative and the main elements of the narrative were analyzed, and then are identified, and then a comprehensive model was provided to classifying Narrative methods in the performing arts using these elements and considering the previous classifications and describing and analyzing important structural theories about the narrative.