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).

In this paper, we introduce the revenue efficiency Interval of a DMU. The revenue Interval DEA model has been formulated to obtain an efficiency Interval in which the lower bound and upper bound of this Interval are respectively, the efficiency obtained from pessimistic and optimistic viewpoints.

Workspace Analysis is one of the most important issues in the robotic parallel manipulator design. However, the unidirectional constraint imposed by cables causes this Analysis more challenging in the cable driven redundant parallel manipulators. Controllable workspace is one of the general workspace in the cable driven redundant parallel manipulators due to the dependency on geometry parameters in the cable driven redundant parallel manipulators. In this paper, a novel tool is presented based on Interval Analysis for determination of the boundaries and proper assessment of the enclosed region of controllable workspace of cable-driven redundant parallel manipulators. This algorithm utilizes the fundamental wrench interpretation to analyze the controllable workspace of cable driven redundant parallel manipulators. Fundamental wrench is the newly definitions that opens new horizons for physical interpretation of controllable workspace of general cable driven redundant parallel manipulators. Finally, the proposed method is implemented on a spatial cable driven redundant manipulator of interest.

Background and Aim: Interval censored data occur in repeated data in medical studies. There are common methods to Analysis this type of data. The purpose of this study is to examine the random imputation technique in the Analysis of Interval censored data. Materials and Methods: Using the Monte Carlo simulation technique, we evaluate the power of Random Imputation method, and finally we assess its performance using the actual data set. Actual dataset is related to dental information in Urmia, which contains 207 children. All calculations are done using R 3. 2. 3 software. Findings: The simulation results show that the power of random imputation technique is good and acceptable. The p-value in real data shows that there is no difference using the random imputation technique. Conclusion: Random imputation technique can be used as an alternative method in comparison with other conventional methods.

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.

In this research, Interval efficiency of butchery units of Zabol city using model of Interval Data Envelopment Analysis was measured, and effective factors were investigated. Data for this research was obtained via completing questionnaires and using randomized sampling method for the year 2010. The results showed that maximum efficiency of 50% of butcheries is less than 40% and minimum efficiency of 80% of butcheries is less than 20%. Average of minimum and maximum efficiency is 13. 5% and 47. 2%, respectively. Also interaction effects of variables were investigated on average of extensions efficiency. The results of linear regression showed that experience, study and Zabol sheep race had significant and positive correlation with efficiency. According to low efficiency of butchery units of Zabol city and consumers emphasis on seeing slaughter, livestock sale units should be established with slaughter units under the control of hygiene and health department, and meat hygienic distribution units should also be established. Since manager’ s experience has a considerable effect on efficiency of butchery units, an increase in young managers’ information via training classes focusing on marketing and meat grade is necessary.

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.