Quantification

The most important tool for promoting the bank’s stability and health is the establishment of a standard corporate governance structure for managing the bank's business. Redesigning the relationships between bank management, shareholders and the rest of the bank’s stockholder, including the objectives, the risk and audit indices, and internal control of the bank, is recognized as the foundation of corporate governance. Good corporate governance in a bank increases productivity reduces financial risk and enhances systemic sustainability. Bad corporate governance increases the likelihood of a bank's bankruptcy and creates risks that are likely to contagion the entire banking network. In this paper, considering the importance of the corporate governance in the banking network, and issuing Central Bank circular in 2016, we will review corporate governance requirements, as well as quantify its effective indicators. To determine the corporate governance structure, we have introduced and quantified several important indicators about the board structure, internal control, and auditing of the banks. The period for the analysis of corporate governance in the banking network by indicators is 2011 to 2017. This information is extracted from financial statements or through the official website of the bank network. The results confirm that good corporate governance affects financial statement and precautionary ratios in banks.

Purpose: For most trainers, the relationship between training volume and intensity as key components is a very important and effective issue. Therefore, the aim of the present study was to investigate the relationship between two key components of exhausting running at Heart Rate Deflection Point (HRDP) in girls. Methods: A number of 40 girls of physical education of Mohaghegh Ardabili University were selected as subjects with an age range of 19 to 23 years. Then, they ran individually in four separate sessions with an intensity of 70, 80, 90 and 100% of heart rate breaking point with a minimum interval of 72 hours. Using non-linear regression, the relationship between exercise volume and intensity was analyzed. Results: The findings showed that the inverse relationship between the volume (as a dependent variable) and the intensity (as an independent variable) of exhausting running at the HRDP of young girls' follows the non-linear 2nd degree function. Conclusion: According to the results of this study, it can be said that the inverse relationship between the volume and the intensity of running is non-linear. The noteworthy point is that in this estimation, the training volume was fitted based on the intensity, the relevant equation, which has a practical aspect for sports science trainers and researchers. Heart rate, as an important physiological index available to all coaches, can easily estimate the running time of young girls using the fitted equation.