مطالب

In the framework of Howard Gardner's theory of multiple intelligences, we have studied the possible impact of emphasis on multidimensional intelligence on developing learner autonomy and we asked ourselves if a syllabus designed based on the learners' multiple intelligences help develop learner autonomy more effectively. Autonomy is considered to be a key factor in the promotion of the process of learning a foreign language, through enhancing learner motivation and self-confidence. Nevertheless, it is not always the focus of teaching. We believed it possible to help develop learner autonomy more efficiently, by emphasizing on individual intelligence profiles. Thus, we aim to establish, if and how effectively, an Iranian learner’s autonomy is influenced, when reached out to, through his multiple intelligences. In this research, a descriptive and synthetic approach will be applied. After presenting the main theoretical guidelines on which our research is based, we will share results of a field study conducted in this respect, on 30 adult Iranian learners of French as a foreign language (FFL) of the lower intermediate level (B1 of the CEFRL) and analyze the data quantitatively and qualitatively.

This paper investigates the Persian writer’s style through domesticating/foreignizing strategies used in two English translations of Hedayat’s The Blind Owl. As the ‘thumbprint’, style is concerned with some recurring patterns of linguistic habits of any writer; hence, any translator. As proposed by Venuti, these strategies may result from various shifts made by translators in transferring the ST style into the TT one. The question is raised: Is there any relationship between the translator’s style and the used strategies by the translators? Having reviewed the main literature and strategies, this paper puts into practice the main used strategies in 200 sentences chosen randomly from each English translation of the novel, related to the given categories of domestication and foreignization. The results showed that Costello’s translation was dominated by such domesticating strategies as borrowing and extra-lingual gloss; Bashiri’s with foreignizing ones. In both translations, the dominant domesticating strategies are deletion, approximation, and paraphrasing. However, regarding the macro-level structure, keeping or losing the original author’s style has nothing to do with domesticating/foreignizing strategies. In conclusion, it seems perplexing to apply such strategies to the texts translated from non-hegemonic languages such as Persian into hegemonic languages such as English.

Research on Task-based Language Teaching (TBLT) has received much attention in language education in Vietnam. However, research on investigating perceptions of secondary school teachers towards TBLT implementation in the Mekong Delta, Vietnam is still scarce. The current study investigates secondary school English as a Foreign Language (EFL) teachers’ understandings of task concept and TBLT principles. It also explores teachers’ attitudes and concerns in implementing TBLT. Ninety-eight secondary school EFL teachers participated in the study. Framed by TBLT principles adapted from Nguyen, Jaspaert and Van den Branden (2018), a survey was used to collect quantitative data. The results indicated that the teachers generally had a high level of understanding of task concept and TBLT principles. In addition, they showed positive views on implementing TBLT in their practices. The results also addressed teachers’ concerns in implementing TBLT into their teaching practices including time constraints, the mismatch between the reform goals proposed by the Ministry of Education and Training (MoET) and current teaching policies at the secondary school level as well as the large class size. Accordingly, insightful implications for a better TBLT implementation in Vietnam and similar contexts elsewhere have been taken into consideration.

Predicting unexpected incidents and energy consumption decline is one of the current problems in the industry. The extant study addressed parallel machine scheduling by consideration of failures and energy consumption decline. Moreover, the present paper aimed at minimizing early and late delivery penalties, and enhancing tasks. This research designed a mathematical model for this problem that considered processing times, delivery time, rotation speed and torque, failure time, and machine availability after repair and maintenance. Failure times have been predicated on using machine learning algorithms. The results indicated that the proposed model can be suitably solved for the size of 10 jobs or tasks and five machines. This research addresses the problem in two parts: the first part predicts failures, and the second part includes the sequence of parallel machine scheduling operations. After the previous data were received in the first step, machine failure was predicted by using machine learning algorithms, and a set of rules were obtained to correct the process. The obtained rules were used in the model to improve the machining process. In the second step, scheduling mode was used to determine operations sequence by consideration of these failures and machinery unavailability to achieve the optimal sequence. Moreover, it is supposed to reduce energy consumption and failures. This study used the Light GBM algorithm and achieved 85% precision in failure prediction. The rules obtained from this algorithm contributed to cost reduction.

The purpose of this study is to evaluate the drivers of bullwhip effect in supply chain of the pharmaceutical industry. This research is descriptive in terms of method and applied in terms of purpose. Conducting the research, first, based on the reviewing the literature on bullwhip effect in the supply chain, affecting drivers were extracted and were sent to 15 experts in form of a questionnaire. Then, using the fuzzy Delphi method, the final affecting criteria on bullwhip effect in the supply chain of the pharmaceutical industry were identified. Finally, in order to examine the relationships between the 13 basic drivers, another questionnaire was designed and asked the experts to fill it, where based on their answers and using DEMATEL and fuzzy cognitive map methods, critical drivers were determined. FCMapper software was used to conduct fuzzy cognitive map method and MATLAB was used for the DEMATEL method. In terms of centrality index in fuzzy cognitive map method, structured inventory control process, delivery time, inventory storage of chain elements, inventory policy and product return rate are 5 criteria of critical importance. In addition, the indicators of the number of echelons, forecasting (method) error and up-to-date demand forecast are in the eleventh to thirteenth ranks. Based on the results of DEMATEL method, inventory policy, price fluctuations, inventory storage of chain elements, structured inventory control process, differences with the desired inventory and information transparency were identified as the main drivers of bullwhip effect in the supply chain of the pharmaceutical industry.

The field of humanities is different from other fields in many aspects, therefore, in order to develop academic entrepreneurship in this field, we need its special model. In this article, two goals are pursued, first, the key components of the development of academic entrepreneurship are identified, and then we discuss the prioritization and influence of the dimensions on each other. This article is practical in terms of its purpose. After carrying out library studies, using the fuzzy Delphi method, we have identified the dimensions, and in the second step, we have used the Dematel method and the ranking of the components using the analytical network process (ANP) to find cause and effect relationships. Therefore, the components of the government's role, entrepreneurial culture, the educational structure and financial infrastructure of the penetrating (cause) and the components of the university structure, research and commercialization and the communication links under the influence (effect) are introduced. The first priority of university entrepreneurship development was entrepreneurial culture and in order expanded developmental periphery including research and commercialization, communication links, strengthened steering core including university structure, stimulated academic heartland includes educational structure, financial resources including financial infrastructure and the least important is the government component.

Iran has experienced major structural and economic changes over the past four decades. In the major experimental literature, researchers believe that these changes have manifested themselves as changes in the dynamics of macroeconomic variables, so that a number of articles have focused on documenting these changes. Understanding what lies behind it and the consequences of these changes is clearly important for monetary policy. This study empirically examines how the behavior of monetary policy in Iran has changed in response to various structural shocks, which is done using the Markov switching model of dynamic random equilibrium. In this study, the Markov Stochastic Dynamic General Equilibrium Model (MS-DSGE) is estimated, which causes changes in the coefficients of the monetary policy law as well as shock fluctuations with Iranian data from 1350 to 1396. We find that regime change, both in monetary policy legislation and in shock fluctuations, is a fundamental adjustment in improving the fit of the model. Our results show that structural shock fluctuations have also changed over time. Hence, the highest instability impulse of real output is due to the monetary policy index impulse and the least impact is due to the imposition of financial liberalization. Among all the factors, the greatest impact is due to the impulse of revolution and war. The least impact belongs to the shock of oil revenues on the shocks of the monetary policy index with coefficient.

The Industrial Internet of Things (IIoT) is a potential platform for developing industry 4.0 and its related applications, especially in cyber-physical systems. Such a new trend in manufacturing sectors offers further potential to optimize operations, realize business models, and reduce costs. Such accomplish may also lead to complex and complicated tasks; hence, to deal with such issues, Reference Architecture Model Industry 4.0 (RAMI 4.0) is developed to structure Industry 4.0. In this paper, the standardized framework is considered RAMI 4.0 and its integration with an IIoT software named Software Platform Embedded Systems (SPES). Integrating Model-Based Engineering (MBE) with a framework requires using a deep learning model called Recurrent Neural Network (RNN). The RNN-MBE, which optimizes the entire process, is responsible for optimizing the process and reducing industry costs. The optimization problem has been fixed, and the MBE simulation has shown that using the proposed MBE is efficient.

The scope of the Internet of Things (IoT) becomes inevitable in the communication and information-sharing routines of human life, similar to any technological architecture. The IoT is also not exempted from vulnerability to security issues and is even more vulnerable as the networks of IoT are built of non-smart devices. Though the few contributions endeavored to defend against the botnet's attacks on IoT, they partially or poorly performed to defend against the flash crowd or attacks by botnets on IoT networks. In this context, the method “Flash Attack Prognosis by Ensemble Supervised Learning for IoT Networks” derived in this manuscript is centric on defending the flash attacks by botnets. Unlike contemporary models, the proposed method uses the fusion of traditional network features and temporal features as input to train the classifiers. Also, the curse of dimensionality in the training corpus, which is often, appears in the corpus of flash attack transactions by a botnet, has addressed by the ensemble classification strategy. The comparative analysis of the statistics obtained from the experimental study has displayed the significance and robustness of the proposed model compared to contemporary models