Economic knowledge about the channels of monetary policy affecting the stock price Index helps central banks to improve their assessment of economic conditions. Also, understanding the relative importance of transmission channels allows monetary authorities to foresee the outcomes of this mechanism, thus they can direct the monetary policy through the desired channel. In order to achieve this aim, a vector autoregressive model and seasonal data from 1997 to 2017 have been utilized. The results reveal that the monetary policy can influence Tehran Stock Exchange price Index, but it can not be taken as a determinant variable. The findings confirm that as a result of monetary base shocks, on average, exchange rate channel and asset price channel have the largest Share in transferring monetary effects respectively, and credit channel has the least Share in the stock price Index.

The main purpose of this paper is to obtain the optimal amount of expenses of government relating to the protection of property rights (PPRs). To achieve these purposes we have introduced concept of social intelligence with respect to PPRs and then developed different growth model from existing literature. In the second step the optimal Share of government spending on the PPRs is calculated.  The theoretical results show inverse relationship between budget deficits and government spending in the PPRs. In other words, with increasing amount of government deficit, government reduced spending of PPRs.  The results of calibration for Iranian economy show that, the growth rate of spending to PPRs should be equal to 31 percent for having sustainable economic growth rate of 6 percent.

Aims: Obtaining measurement errors in aging samples studies is of high importance mainly because of the study itself as well as the attention and consideration that are required in recording such data. This study aims to introduce a simple formula to obtain and interpret the Total Deviation Index (TDI) and encourage researchers to use it as a suitable tool in defining reliability in psychometrics studies. Methods and Materials: In a cross sectional study in the year 2019, 105 aging individuals were selected from city of Tehran. The SF-36 questionnaire was completed for them within two weeks. The ICC value and TDI were obtained for each subscale and compared together. Results: The results show that the lowest TDI value belongs to physical functioning subscale, while mental health has the highest. To be more accurate, the maximum measurement error in physical functioning and mental health, with 95% likelihood, is 22 and 34 (of 100 units), respectively. Conclusion: Considering the easy interpretation of Total Deviation Index, also due to ICC Index not being capable of identifying how much of the subscales variations come from measurement errors, it is suggested that researchers report and obtain the Total Deviation Index in their reliability studies.

The Hosoya Index $Z(G)$ of a graph $G$ is the Total number of matchings in it. In this paper, the recursive formulas of the Hosoya Index of semiTotal graph $Q(G)$ and Total graph $T(G)$ for certain graphs $G$ are obtained. Moreover, we obtain the bounds of the Hosoya Index of semiTotal and Total graphs of a connected graph $G$.

The Total version of geometric–arithmetic Index of graphs is introduced based on the endvertex degrees of edges of their Total graphs. In this paper, beside of computing the Total GA Index for some graphs, its some properties especially lower and upper bounds are obtained.

Inequality is one of the basic problems of countries. So, it is very important to examine how income is distributed in a society. Therefore, many studies have been conducted in this regard, but in general, in the studies that used the common methods of calculating inequality, the inequality between different groups is ignored in determining the Total inequality, therefore, researchers pay less attention to between-group inequality. In this study, in addition to calculating the inequality in Iran's occupational groups, the inequality between occupational groups has also been evaluated with the ANOVA coefficients approach. Since the measurement of inequality is normalized with these coefficients. For this purpose, household cost-income data during 2013-2019 in urban areas of Iran have been used. The results show that inequality has increased in the most occupational groups, but, it has been almost constant in the "administrative and clerical workers" and "artisans and workers in related occupations", and "administrative and clerical workers" has the best income distribution status and the "legislators, high-ranking officials and managers" has the highest level of inequality. Also, the results indicate that the Share of inequality between occupational groups was approximately 50% and close to the Share of inequality within groups.

Background: One of the most common visceral cancers among men in the world is prostate cancer. Screening for early detection has a positive effect on patients’ survival time. Measurement of serum level of Total PSA and free PSA is abundantly used for screening and diagnosis of prostate cancer. However, no study has been done to determine the relation between serum level of Total PSA and free PSA/Total PSA ratio with malignancy degree on biopsy samples. The aim of this study was to determine the relation of serum level of Total PSA and free PSA/Total PSA ratio, with malignancy degree.Methods: This is a cross-sectional study done in Alzahra Hospital during 2012-2013. We selected 85 patients with prostate cancer whose disease was detected in the pathology ward. Serum level of Total PSA and free PSA were measured, and the degree of malignancy was determined by pathology ward based on the Gleason scoring system. All data was recorded in the questionnaire and entered into the computer and analyzed by SPSS software.Findings: The results of this study showed that there is 38% correlation between Gleason score and free PSA/Total PSA ratio. Based on the Pearson correlation, this relation was statistically significant (P=0.037). Moreover, there is a 37% relation between serum level of Total PSA and the Gleason score; this relation was statistically significant (P<0.001).Conclusion: Prostate cancer is usually detected late and biopsy is rarely accepted by patients. Moreover, serum level of Total PSA and Total PSA/free PSA ratio has a relation with degree of malignancy. Therefore, serum level of PSA can help patients and physicians in early detection and treatment of prostate cancer.

The factors ‘ Shares are constant in Solow growth accounting approach. The purposes of this paper are evaluating the effect of capital income Share change on economic growth, implementing the growth accounting approach to calculate Total factor productivity (TFP) considering that capital income Share to be changed; and finally, estimating the effect of capital income Share and it’ s variation on TFP growth. For this reason, the data of value added, capital stock, and labor compensation with constant values at 2011 as well as labor forces data of manufacturing industries in 31 Iran’ s provinces during 2000-2014 have been collected. Findings show that the capital income Share variation had positive effect on income per capita in provinces ‘ manufacturing industries with value 11. 5 thousand Rials. The growth accounting results indicate that classic factors contribution (labor and capital stock) of economic growth was 11. 4 and 200 percent, respectively. Moreover, capital income Share variation and Zuleta TFP contribution of manufacturing industries economic growth are 30 and-141 percent, respectively. Finally, outcomes of panel least squares (PLS) estimation show that capital income Share variation has significant and positive effect on TFP growth, but income Share level doesn’ t significant effect during the considered period. In fact, a one percent increase in capital income Share will increase the TFP growth by approximately 2. 6 percent; which these are due to variation of factor abundant ratio and biased technological change in provinces ‘ manufacturing industries of Iran.