Nomadic regions of Iran with their unique cultural and natural attractions are considered as one of the most important options for the development of ecotourism in the country. However, the framework and factors of nomadic tourism development have been less considered in previous studies. Accordingly, the present study aims to provide a model for the development of nomadic tourism by using the structural modeling-interpretation approach. For this purpose, the required data were collected and analyzed from the Shahsavan nomadic areas in northwestern Iran with a qualitative-quantitative research approach. For this purpose, using snowball sampling and through semi-structured interviews with 19 tourism experts consisting of university professors, tourism experts and nomadic community, the dimensions and factors affecting the development of nomadic tourism were identified and categorized. In the next step, using interpretive structural modeling (ISM), the relationships between the dimensions were determined and analyzed in an integrated way, then using MICMAC analysis, independent, dependent, effective and two key aspects in the development of nomadic tourism were identified. The results showed that empowerment of nomadic community as the key two-way variable is one of the most important drivers of nomadic tourism development and its strengthening and development should be a priority in policy and planning for nomadic tourism development. On the other hand, social capital, government activism, structural-institutional factors were identified as strategic variables affecting the development of nomadic tourism.

Purpose: The flourishing of political parties and currents is one of the signs of the degree of development in societies. In contemporary Iran and since the formation of the constitutional movement, political currents have gone through many ups and downs and it can be said that political currents in Iran after the Islamic Revolution have not yet reached the stage of institutionalization and stability. A characteristic feature of political currents in Iran is the divergence and division among political currents in recent decades, and this can be one of the reasons for the instability and cross-sectional and seasonal activity of political parties in Iran. Therefore, the necessity of leading research seeks to answer the question of how factors and divergence among political currents in Iran after the victory of the Islamic Revolution can be analyzed? And what are the scenarios for the advancement of political currents in Iran?Method: To answer this question, the method of causal-layer analysis, which is one of the qualitative methods in futures research, has been used.Findings: The research findings indicate that this divergence is due to a wide range of reasons from the level of causal systems (from the institutionalization of power to the formation of parties as elitist initiatives), worldview and discourse (from charismatic political authority to culture). Subsidiary-follower politics to myth-metaphor (Iranian individualism to belief in a strong state-weak society) can be analyzed.Conclusions: Three scenarios for the future of Iranian political currents can be considered: integration of currents as the security valve of the political system, the collapse of political currents in the traditional form, integration and consolidation in new social movements (virtualized parties).

Recognition and understanding the genetic control of traits, combining ability and genetic structure are directly related to the success of breeding programs. For this purpose, a 7 × 7 one-way diallel design was conducted in a randomized complete block design with three replications. The measured traits were included plant height, height to the first capsule, number of days to 50% and 90% of flowering, number of capsules per plant, number of seeds per capsule, number of days to physiological ripening, number of branches, leaves number and length, 1000-seeds weight, capsule weight, length and width, chlorophyll a, b and total chlorophyll, biological andeconomic yields, harvest index, oil and protein percentage. analysis of variance showed that there was a significant difference between genotypes and diallel analysis showed that the additive variance of all traits and dominant variance of all traits except height to the first fruit-bearing capsule were significant. The oltan cultivar was the best and Ardestan genotype was the worst genotype in terms of general combining ability. Sabzevar×TS-3 and Sirjan×Fars were the best hybrids in most traits. The general heritability was between 0.90 to 0.96 for biologic yield and number of branches, respectively and narrow heritability was between 0.36 to 0.91 for the number of branches and harvest index, respectively. The analysis of variance by Hayman method confirmed the results of Griffing analysis.

As the most complex manufactured structures, cities face excessive population growth. Their expansion has intensified on high-risk sites, and the available evidence also indicates the continuous increase of all types of natural crises in terms of intensity and frequency. Scientific and experimental findings show that the best way to deal with danger is to promote the resilience of settlements in different dimensions (social, economic-livelihood, physical-spatial and institutional); in other words, resilience in both human and environmental dimensions comprehensively. It decreases and increases. This research has evaluated and analyzed the components of resilience in Sari. The method of the present study is applied in terms of purpose and descriptive-analytical and field in nature. The statistical population in this research includes citizens living in the four districts of Sari, and the sample size was determined based on Cochran's formula of 383 people, who were selected from among the statistical population by stratified sampling. The questionnaire is the method of collecting library and field information and its most important tool. For data analysis, descriptive and inferential statistics (one-sample t-test and structural equation modeling) were used by SPSS and Smart PLS software, and entropy and SAW models were exerted. The research results indicate that the situation of the four regions of Sari regarding social components has better conditions than other dimensions of resilience. In terms of institutional components, they have a vulnerable state. According to the entropy model, among the components of resilience, the institutional dimension has the most weight, and the economic dimension has the least weight. Moreover, according to the SAV model, Region 1 ranks first, and Region 3 of Sari ranks last in having the components of resilience dimensions.

Purpose: Food security is a critical global challenge that is influenced by research and innovation in the field. Therefore, the objective of this study is to analyze the scientific output of developing countries in food security and examine its relationship with patents and Gross Domestic Product (GDP).Methodology: This applied research utilized the Scientometric approach. A total of 8,416 papers published between 1992-2023 in the field of food security by developing countries were included in the study using citation databases from Clarivate Analytics. Additionally, patent registrations from the WIPO database and GDP data from the World Bank were analyzed. Information was collected through note-taking, and the data was analyzed using Pearson's correlation coefficient.Findings: The findings reveal an upward trend in the publication and citation of scientific outputs related to food security in developing countries. China has higher numbers of papers, patents, GDP, and food production index compared to Iran, Japan, and South Korea. There is also a positive correlation observed between population and the number of papers, gross production and the number of papers, food production and the number of published papers, as well as the number of patents and papers citing scientific outputs of countries.Conclusion: These results highlight the significant relationship between increasing scientific output, GDP, the number of patents, and food security. Greater emphasis on food security contributes to enhanced scientific output, GDP, and innovation. Similarly, increasing scientific output, GDP, and innovation positively impact food security in countries.Value: This study emphasizes the importance of scientific outputs in driving technological advancements, innovations, and ultimately, ensuring food security in developing countries.

The linkage between sustainable agriculture, poverty and agricultural extension efforts and their impacts on rural centers in Behbahan Shahrestan has been discussed in this paper. Data were collected from 200 farmers in 40 villages of this Shahrestan. A multi-stage stratified random sampling technique was used for selecting villages and farmers. The findings of path analysis in three different causal models provide the complexity of relationships between variables and environmental degradation so that there is a causal relationship between poverty and unsustainability. Lack of direct causal effect of use of technology and extension efforts on sustainability in three models indicated the structural and institutional limitations of extension in diffusion of appropriate technologies. Finally, recommendations regarding regional planning with respect to socio-economic characteristics and changing from TOT approach to other alternatives and revising the education programs of extension agents are provided.

Objective(s): To evaluate the direct and indirect effects of different factors on fertility using the path analysis.Methods: Data were obtained from the research project ''Evaluating the effective elements on the tempo and quantum of fertility in Mazandaran Province in year 2000'', and by a questionnaire containing three sections (demographics, fertility data and family planning). This was a descriptive-analytic study and sampling was performed by a two-stage random procedure. A total of 1343 families were initially included in the study. The research targeted married women aged 10-54 years. We used path analysis to calculate the effect size and 95% confidence intervals for the following set of factors: mothers' age, mothers' education, duration of marriage, age at marriage, and mothers' age at her first pregnancy.Results: In total 1137 women participated in the study. The duration of marriage showed the strongest positive direct effect on fertility (r=0.428); the second strongest positive effect belonged to mothers' age (r=0.203). Mothers' education had the most powerful negative direct effect (r=-0.182). Mothers' age also had the strongest indirect effect (r=0.437), while mothers' education showed the greatest negative indirect effect (r=-0.153). All of the calculated effects were statistically significant (P-Value <0.001).Conclusion: This research illustrated the powerful effect of mothers' education on fertility. There is a potential for effective birth control through modification of factors that have a strong influence on fertility. It is difficult to change all of the factors at once, thus as a first step it might be better to concentrate on duration of marriage and mothers' education.

Regional inequality as one of the existing forms of inequality is one of the issues in the system of opportunity and its presence / absence and intensity / weakness has an important effect on the order and cohesion of society at different levels and dimensions. This is a serious problem, especially in developing countries. Due to the importance of this issue, this study seeks to identify the factors affecting regional inequality in Iran. The present study is a descriptive-exploratory study and the statistical population of the study consists of experts familiar with the issue of inequality and development of regions in Iran. Snowball, 10 of them were selected as a statistical sample of the study. Also, Content analysis, structural-interpretive modeling (ISM) and MICMAC analysis were also used to analyze the data. The results showed that out of 47 initially identified factors, 14 factors, including factors of poor planning, decisions of managers and planners and poor access to facilities and equipment, in calculating content validity, CVR coefficient above 0. 75 and were recognized as the final factors of regional inequality. Also, the leveling of factors showed that the relevant factors can be classified into six levels. The factors of unique resources and capabilities were at the lowest level with 29% subscription and the factors of government centralism and inefficiency were at the highest level with 90% and 91% subscription. Their classification also showed that the factors of manpower constraint (with influence 10 and degree of dependence 5), lack of financial and investment resources (with influence 8 and degree of dependence 7) and lack of attention to research (with influence 13 and the degree of dependence 5) are the key factors of regional inequality and have a great impact on inequality.