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.

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.

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.

Introduction: Teeth loss and its consequences, such as mental discomfort, most often negatively affects one's health and well-being. Dental implants were introduced in an attempt to raise patients' satisfaction and improve health and quality of life in all dimensions. Hence, this study was performed to check the impact of implantation on the oral health indices in patients who were candidates for implant treatment in Isfahan city. Materials & Methods: In this analytical cross-sectional study, the lifestyle quality of 73 patients who were referred to Isfahan’, s Islamic Azad Dental University (Khorasgan) and its affiliated private centers, was assessed using the OIDP index before and after their implant treatment between 2019 and 2020. Also, data ANALYSIS was done using Independent ttest, Paired t-test and ANALYSIS of variance ANOVA test (α,= 0. 05). Results: In the current study, the most common problem and with the most effect on oral satisfaction quality were teeth lost and extractions, respectively. Majorly, the effects were evident on the eating habits (83. 6%), satisfaction of communication with others (68. 5%) and quality of smile (64. 4%). In the questionnaire, an attenuated score of OIDP was recorded, before the implant treatment compared to that of post-treatment, which was statistically meaningful (p value < 0. 05). Conclusion: According to the current study data, we can conclude that implant treatment can have a positive effect on the patients' lifestyle quality.

PERFORMANCE appraisal in electricity industry by the meaning of assessment of management decisions’ effectiveness and all workers’ efforts in regional companies in using resources and facilities of the industry as an infrastructural and nurturing industry is quite vital that in turn helps recognize the PERFORMANCE  in the past and make plans for the future activities. On this basis, weakness and strength of the companies could be identified and appropriate planning be made according to the facilities, budget and existing human resources in order to maintain the strength points and make improvements on the weaknesses. This research work is practical and its data has been gathered from the reports issued by the statistical society of the independent auditors’ and the state audit firm as well as the board’s reports to the General Assembly of the Shareholders, which are 16 Regional Electricity Companies in charge of supplying reliable and sustainable electricity in the country. Along with analyzing various methods for PERFORMANCE appraisal for a two decade period using methods such as KPI, BSC, EFQM and so forth, regional companies’ PERFORMANCE have been assessed at each stage and totally to finally rank them (Cloud-efficiency Model) using Data Evaluation ANALYSIS (DEA) model in 1395 by designing a 3-stage model with 5 input indices, 2 intermediate indices and 7 output indices with constant returns to scale in the form of multiplicative inputs utilizing GAMS software package. The conducted ANALYSIS demonstrate that two models yield different results such that only ranking of three regional companies are close and the rest show substantial discrepancy. In terms of the regional companies’ PERFORMANCE assessment using DEA model, one company is performing efficiently, ten companies are close to the borderline and five companies perform far from being efficient. Finally, it could be stated that small and medium size companies perform more effective than large size companies.