درخت حوزه‌های تخصصی

Rural tourism is considered as one of the important parts of the economic activities. This important economic activity in the different views has been taken into consideration. Some know it as a part of the tourism market and some consider it as a policy for rural development. Rural tourism quickly grew in the rural economic and has been the complementary of agricultural activities. The nature of the tourism industry is, create employment, income, diversification, economic, increase of cultural level, community participation and use of local resources. Development of tourism in rural areas, in addition to diversifying the economy and developing its infrastructure, can be a step towards sustainable development in rural areas and social justice by creating jobs, and reverse migration. In general, supporting the village pristine tourist areas and rural tourism, cause to create different and good employment opportunities, increase of national income, the promotion of social welfare and the development of sustainable tourism in rural areas. Rural tourism through influence and effect on all aspects of rural life, leads to grow them both in terms of economic and socio-cultural. This study investigates the efficacy of wooden cottages in attraction of tourism in the city of Masal. A tourism model that has been used in this study, is taking advantage of Gibz- Martin method, the obtained results of the regression analysis of this study indicate that among the several factors of tourism attraction in this region, wooden cottages are known as one of the best resorts of tourism attraction. Studies are conducted in four villages of Masal that Hoome village with 200 wooden cottages and 5000 tourism with amount of 0.85 has the maximum amount of tourism in the region and also wooden cottages are known as a way to attract tourism in the region.

the purpose of this research is to prioritize the indexes of discretion, Heterogeny and Autogeny factors in order to analyze and evaluate their readiness for ideal situation of Central bank of the Islamic Republic of Iran (CBI). This research is an exploratory kind and in terms of method is a survey kind. The data collection tool is questionnaire. After two Delphi cycles, in final questionnaire the detachment variable was eliminated and for Autogeny variable 10 questions, Heterogeny 11 questions and discretion 17 questions were regulated, therefore it can be said the ostensible and content validity of the questionnaire was confirmed. Also since Cronbach's alpha coefficient of the questionnaire was higher than 0.7, it indicates acceptable reliability of the questionnaire. In order to analyze the data, Friedman test with applying SPSS software was used. The results showed, the structural dimension with average grade of 1.83 had higher average than contextual dimension which means in Discretion factor, the structural dimension has more readiness for ideal situation. Also the structural dimension with average grade of 2 had higher average than contextual dimension which means in Heterogeny factor, structural dimension has more readiness for ideal situation. And finally, the contextual tent dimension with average grade of 1.91 had higher average than structural dimension which means in Autogeny factor, the contextual dimension has more readiness for ideal situation.

Background: This study aimed to identify factors contributing to the creation of intellectual capital in the organization of education. The research method is a descriptive and exploratory factor analysis method. A sample: directors and deputies of the second period Secondary Education Department of Tehran Province. Based on stratified random sampling method and based on a sample of 500 was calculated size formula. The research made questionnaire constitutes a measurement tool through which factors in the creation of intellectual capital was identified by the sample. Validity to help them with the help of factor analysis and reliability was confirmed by Cronbach's alpha equal to 78/0. And finally analyzed by factor analysis of main components were analyzed. The findings suggest that the amount of KMO is close to 1 is equal to 881/0. Bartlett test of sphericity is also characterized by a significant level of zero, which is smaller than the 05/0 show statistically significant. And the final outcome of the 9 extracted with PC using varimax rotated in total by performing factor analysis identified nine factors: Self-conscious, value-based and central vision, holistic and systemic approach, independence, spontaneity, sense of mission, altruism, accountability, change frame of mind Factors identified in order to create intellectual capital could have a significant relationship with the studied variables. So successful, in order to strengthen each of these factors will lead to the creation of intellectual capital in educational organizations.

Paper undertakes software based numerical simulations in two different traditional houses in cold-dry climate of Tabriz and hot-arid climate of Yazd, The Eco Test software chosen for BIM simulations. Case study on real houses instead of hypothetical models can give more tangible results and choosing traditional houses can provide a good opportunity to compare both physical and thermal conditions, in which zones have more dense walls than contemporary typical building wall. With high thermal mass and more surface to volume ratio, investigating the effect of U-value on interior conditions are more accurate. Comparative case studies in two different climatic zones of Iran can give researchers the opportunity to compare the importance of total U-value in two severe climates in Iran. In addition, it can give the designers the insight that what design priorities must be considered in each climate. Results show that the U-value in a hot arid climate of Yazd has a more direct effect in controlling interior comfort conditions, like fluctuations of temperature and variations of summer and winter temperatures, as well as variations of temperature in a single day and total energy need and consumption in both hot months and cold months of the year.