درخت حوزه‌های تخصصی

Purpose- The inefficiency of rural development policy as a multidimensional phenomenon is due to various factors and causes. It has adverse outcomes in rural areas and in different dimensions of the territorial (spatial), organizational and intersectoral activities. Since the present study has practical purposes, the analysis of the effective factors, and analysis of the effects of each factor in the process of inefficiency of rural spatial policies in rural areas are considered. Design/Methodology/Approach - The strategic question is: “What are the factors affecting the ineffectiveness of the planning policy for rural development in Iran?” To answer the question, an analytical methodology based on Delphi tool and interpretive structural modeling have been used. In this regard, a library method (research background) and questionnaires and interviews (experts’ opinions of the National Planning and Budget Organization, and the Provincial Management and Planning Organization- 20 people) were used to collect information. Factors contributing to the inefficiency of planning policy for rural development in Iran were determined. In the next step, using Interpretative Structural Modeling (ISM), the relationships between the factors affecting the ineffectiveness of the planning policy for rural development in Iran were specified and analyzed in a unified manner. Finally, using the MICMAC analysis, the types of variables are clustered according to the reciprocal influence on other variables . Findings- The results show that the factors of over-dependence on oil revenues, unstable rural development policy and centralized policy-making system, planning and decision making with the driving power of 16 have had the greatest influence and acts like the base of the model. In order to start and reform the structure of the rural development policy system in the country, it should be emphasized first. The factor of diversity, plurality, dispersion and underdevelopment of rural settlements with the driving power of 1 has the least influence.

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.