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This study aimed to evaluate the dimensions and components of the managerial competency model in the banking system. 

This research is descriptive and survey-based. The statistical population consists of managers from various departments of the Central Bank of the Islamic Republic of Iran. Data were collected through a field method using a questionnaire and convenience sampling. Data analysis was conducted using structural equation modeling (SEM) and SmartPLS3 software. 

The study revealed that the banking managerial competency model must be designed as a multidimensional framework covering all managerial aspects, including technical, managerial, interpersonal, and technological competencies. Given the emerging challenges in the banking industry, such as digital transformations and complex regulations, managers need a broad range of competencies. 

The results indicate that developing a comprehensive and multidimensional competency model for banking managers can enhance performance, increase productivity, and strengthen the competitiveness of banks.

The purpose of this article is to study the factors affecting the supply chain of parts and equipment of the oil industry under uncertainty, and to examine the influence of the factors of the supply chain model under uncertainty on each other and to provide practical solutions. Therefore, according to the hybrid approach, to explain the supply chain model of oil industry parts and equipment under uncertainty, in the qualitative part, the grounded theory method was used and in-depth interviews with 15 experts (managers, experts and suppliers active in the parts supply network and equipment of oil companies) were done. This model consists of six main themes: 1) causal conditions (supply factors, disruptions, macroeconomics, laws and policy and security); 2) underlying conditions (process complexity and environmental complexity); 3) Intervention conditions (organizational resources); 4) category</em> </em>oriented (decision maker); 5) Strategies (management practices strategy, management strategy, adaptive strategies); 6) Consequences (advanced measurement, advanced configuration, advanced exploration and advanced operation). Then, in the second step, using the technique of confirmatory factor analysis and modeling of structural equations among 120 managers, experts and active suppliers, the resulting model was fitted, validated and tested.</em>

The main purpose of this research is to provide a model of competencies of central bank managers under sanctions. The research method is qualitative and based on foundation data theory.

semi-structured interviews were used to collect data, and data analysis was done using the Strauss and Corbin method and the paradigm model. Sampling was done by theoretical sampling method and using targeted (judgmental) techniques. According to the systematic model of database theory, the statisticians were selected from among experts and managers with active experience in the central bank.

The results of the analysis of the data obtained from the interviews during the process of open, central and selective coding led to the identification of the competency model of central bank managers based on data theorizing, the findings of this research indicate that the central bank managers have while paying attention to all the categories and subcategories identified in this research, using the presented model and the information and data of the competences of managers in the conditions of sanctions, try to plan all the processes of this field, so that in the conditions of sanctions, the access of competencies Central bank managers may.

In addition, this research shows the need to pay attention to the competency models of central bank managers in the conditions of sanctions.

In recent years, the processes used in wastewater treatment have received significant advances in various fields, including the electrochemical coagulation process as a significant innovation in the water and wastewater industry. The application of electrochemical technologies in the water and wastewater industry is very diverse. This technique has been applied in various situations and industries to remove a wide range of pollutants. Reactive dyes are a group of dyes widely used for dyeing cellulose fibers, especially linen fabrics used. The anthracavon dyes after the azo dyes are the second group of textile dyes. Reactive blue 19 is the anthraquinone dye in terms of color factor. Various methods have been used to treat this type of wastewater, including various physical and chemical treatment methods (such as filtration, settling, ozonation), each with its own disadvantages such as: low efficiency, high cost, high time and cause secondary pollution. Accordingly, electrochemical coagulation treatment to remove contamination from dye wastewater due to its high efficiency is studied. The purpose of this study was to evaluate the electrochemical removal of reactive blue 19 dye using iron and aluminum electrodes. The dye concentration was also considered at 200 mg/L for all stages and all experiments were performed at ambient temperature. Main parameters such as electrode spacing, type of electrode arrangement, anode electrode (iron and aluminum), coating of aluminum electrode with ZnO nanoparticles by physical evaporation layer-addressing method and evaluation of coating performance by scanning speed cyclic voltammetry system and different voltage ranges were used. In the optimum condition in the removal of synthetic contaminants including electrode distance of 3 cm, parallel monopolar electrode arrangement, use of iron anode electrode pair and aluminum cathode with ZnO nanoparticle coating, retention time equals to 32.66 minutes, current density 14.34 mA/cm2 and initial pH of 4, the percentage of dye wastwater was 93.8 percent. The use of zinc oxide nanoparticles coated by the physical evaporation layering method also improved the 173.12% electrical current.

Significant increase in metabolic syndrome over the world and the risk of its complications, explains the necessity to find new ways to control it. This study was conducted to evaluate the effect of L-Arginine supplementation on anthropometric parameters in patients with metabolic syndrome
In this double-blind randomized clinical trial, 60 patients with metabolic syndrome were divided randomly into L - Arginine groups (AG) and placebo group (PG). Patients in the AG received daily 5 gr of L-Arginine supplementation. Weight, body mass index (BMI), waist circumference (WC), waist to hip ratio, fat mass (FM) and fat free mass (FFM) were measured at the baseline and after 3 months of intervention.
At the end of the intervention the variables related to body composition did not show any significant difference between AG and Pg (P>0.05). At the end of the intervention compared to baseline was observed a significant decrease in the mean percentage of FM (37.80±9.12 to 37.26±8.74: P =0.01) and a significant increase in FFM (27.76± 4.47 to 28.35±4.92: P =0.01) in the AG but then calculate the mean changes in variables related to anthropometric parameters compared to baseline and compared between the two groups showed that there was no significant difference in the variables in the AG and Pg (P>0.05).
Our study shows that 5 gr/d L-Arginine supplementation for 12 weeks had no significant effect on weight, BMI, body composition in patients with the metabolic syndrome patients.

Human resource capitals are considered as one of the most important resources for small enterprises. Considering the nature of these organizations, in the current trade world, social capital is an assuring criterion for organizational success. Due to the low number of employees in small enterprises, the leader has a more dynamic role in organizational processes and can lead the whole organization in to optimized usage of human resource. Moreover, by increasing effective communications, the leader can initiate and increase social capital. The role of transformational leadership style to generate social capital in small enterprises is discussed in this article. The population of this research is knowledge - base organizations in the 6th district of Tehran which are selected randomly. The measurement tool is a questionnaire distributed among 109 employees in 28 enterprises. Descriptive factor analysis is used To examine transformational leadership questionnaire's reliability, and 4 factors including inspiring communication, rational persuasion, supportive leadership- personal recognition and vision are identified. The results of this research which has been done on the individual level show that there is a positive and meaningful relationship between inspiring communication, rational persuasion, supportive leadership - personal recognition with social capital. Spearman relationship test also shows that there is a positive and meaningful relationship between transformational leadership and social capital. Then the discussion and conclusions based on these findings are discussed.