درخت حوزه‌های تخصصی

Vocabulary and grammar are two significant components of English which learners often find challenging in their process of learning English as a foreign language (EFL). Therefore, finding the best way to teach grammar and vocabulary has always been a controversial issue among English teachers and researchers. The present study is an attempt to investigate the effect of dictogloss (DG) task, as one of the focus on form techniques, on EFL learners’ vocabulary versus grammar development. To this end, a quasi-experimental design was utilized to examine the effectiveness of the treatment. In this design, two classes were chosen, one as the experimental group (n=20) and the other as the control group (n=20). The participants were 40 female learners of English as a foreign language at intermediate level. In the experimental group the selected grammatical structures and vocabulary were taught using the DG technique, while in the control group the traditional method of teaching, present-practice-produce was used. The results gained from comparing pretest and posttest scores indicate that, although the experimental group outperformed the control group in learning vocabulary, there was no statistically significant difference between the experimental and control group regarding grammar scores. Therefore, it can be concluded that using DG task was more effective on vocabulary learning of learners than grammar development. The findings of this study will be of help for both English teachers and learners regarding finding the best method of teaching and learning English grammar and vocabulary.

In many significant characteristics of the modern world, including particular industry, agriculture, and military applications, Wireless Sensor Networks (WSNs) have begun to emerge. Even though energy consumption is the greatest challenge confronting WSNs, it is essential to analyse the feasibility of the use of mobile components for the data collection on WSN networks. To collect information from their sensing terrain, WSNs use significant numbers of wireless sensor nodes. The method of acquiring data from the sensor nodes and forwarding this data to the node or base station is Data Collection (DC). In such methods, data collection is effective and efficient in data transfer for an extended WSN lifetime. The scientific and investigational analysis demonstrated that Routing Path Selection-DC has the robustness and low energy, is required to reduce the mobile sink's energy demand, which provides better results, and is adaptable dynamically to multiple situations, including the variance between the ground robot and the cost of energy. The research paper developed an approach that creates a data collection schedule that is collision-free where appropriate power limits are allocated and verifies its overall performance of virtual environment network latency.

Economic crisis imposes extensive losses on banks and credit institutions, thereby increasing their credit risk and dissolution. In fact, the economic conditions of countries are the major cause of financial stress, the destructive effects of which can greatly be reduced by accurate risk management in the banking system. This study aims to examine stress testing in the Iranian banking system by using the data of Iranian banks from 2008 to 2017. The results in the panel VAR framework and Monte Carlo simulation by using macroeconomic variables and credit risk show that the Iranian banking system is mostly affected by the scenarios of long-term shock in the macroeconomic factors of the country. In other words, changes in one period of the variables have a minimum effect on credit risk. However, a three-period horizon of interest rate and the inflation rate has the maximum effect, while economic growth has the minimum effect on the degree of default in Iranian banks.