Search published articles
Showing 5 results for Khodaverdi
Volume 9, Issue 2 (No. 2 (Tome 44), (Articles in Persian) 2018)
Abstract
In cognitive linguistics, language is considered a part of human cognitive abilities and any kind of linguistic analysis is accompanied with an analysis of human cognitive capacities. In the present work, we tried to compare linguistic abilities of children with minor mental disorder to that of normal children in the framework of cognitive linguistics, and to reply the question ̎ weather speech disorders of children with specific needs is relevant to their cognitive weaknesses? ̎: our hypothesis was that language acquisition in the former is, like the process in the later, not independent from other cognitive abilities of them, and their linguistic disorders is the consequence of their cognitive disorders. In order to evaluate the hypothesis, 20 normal children and 20 children with minor mental disorder of first and second school grade were selected from primary schools of Birjand. Then four cognitive activities including category identifying, expressing noun and action, realizing iconicity and understanding landmark were put under consideration in their language behaviour. The data were then analized in two statical fashions; discriptive and inferential. The results of both analyses indicated a remarkable difference between the two groups of subjects. Furtheremore, a meaningful inter-group difference was just fond between normal girls and boys and only in category identifying activity. According to One-way Analysis Of Variance, normal girls with higher percentage of correctly identifying the categories, could be settled in a separate class from normal boys. To conclude, the results justified our hypothesis.
Volume 11, Issue 1 (Winter 2020)
Abstract
Electrical Kindling is one of the most popular epileptic model techniques that cause seizures such as temporal lobe epilepsy. So far, various therapies have been used to treatment of epilepsy. Among these treatments, low-frequency stimulation (LFS) has been widely considered for improving effect on drug-resistant epilepsy, but its mechanism is not well understood. Since calcium entering to the cytoplasm and increasing its concentration is one of the reasons for seizure, metabotropic glutamate receptor (mGluR1), dopamine receptor (D1) and ADPR cyclase (CD38), which increased calcium in the cytoplasm from different pathways, were selected. With this aim that by examining the change in the expression of these genes, we help to clarify the LFS improvement effect. In this study, the hippocampus of rats was used and the changes in genes expression were investigated using real-time PCR technique. The results showed that the expression of all selected genes increased significantly after kindling and then after the LFS the expression of all was returned to sham value. Hence, one of the ways in which LFS interferes may be related to the pathway for calcium entering to the cytoplasm.
Volume 12, Issue 1 (Number 1 - 2010)
Abstract
Vibration generated by vehicles during road transport has an important effect on the agricultural products damage process, particularly vegetable and fruit. Modulus of elasticity is one of the most important mechanical properties of fruits and its variation can be described as one of the damage criteria during transportation. This research was conducted to evaluate the effects of vibration parameters (frequency, acceleration and duration) and fruit position in the bin, on watermelon damage. At first, vibration frequency and acceleration were measured on the different points of a truck-bed in order to obtain the range of vibration frequency and acceleration distribution during transportation. Second, a laboratory vibrator was used to obtain some factors influencing damage during watermelons transportation. The damage was described as a difference in the modulus of elasticity of the watermelon (flesh and hull) before and after the test. According to the results measured on the truck-bed, the vibration frequency mean values were 7.50 Hz and 13.0 Hz for 5-10 Hz and 10-15 Hz frequency intervals, respectively. Furthermore, vibration acceleration mean values were 0.30 g and 0.70 g for 0.25-0.50 g and 0.50-0.75 g intervals, respectively. Vibration frequency and acceleration mean values were used for vibration simulation. Vibration durations were 30 and 60 minutes and damage was measured for watermelons at the top, middle and bottom positions in the bin. Laboratory studies indicated that, vibration frequency, vibration acceleration, vibration duration, and fruit position, which were taken into consideration as controlled variable parameters, significantly affected the damage (P< 0.01). Damage to the watermelon flesh was higher than watermelon hull. Vibration with a frequency of 7.5 Hz, acceleration of 0.70 g, and duration of 60 minutes caused higher damage levels. Fruits located at the top of the bin showed more damage than those in middle and bottom positions (P< 0.05).
Volume 18, Issue 115 (September 2021)
Abstract
The aim of this study was to investigate the effect of natural antioxidant properties of crocetin and bixin on nanoparticle formulation of cheddar cheese. In this study, chitosan / alginate nanoparticles containing bixin (14, 16 and 18 μg / ml) and crocetin (0.01, 0.03 and 0.05 μg / ml) were prepared by gelation method. After preparation of cheddar cheese and addition of nanoparticles, total microbial population test was evaluated on the 1st day of production, 20th, 40th and 60th storage. The results were analyzed by two-way ANOVA and Duncan tests at the significant level of 0.05. The results showed that the total microbial population increased significantly during storage, but the total microbial population index decreased significantly with increasing levels of Bixin and Crocetin nanoparticles. Evaluation of sensory evaluation results showed a decrease in sensory evaluation scores over 60 days of storage. However, in the treatments with 18 μg / ml Bixin and Crocetin the sensory index changes were less than the other treatments. Finally, the treatment with 16 µg / ml bauxin and 0.05 µg / ml crocetin was selected as the optimal treatment.
Volume 23, Issue 3 (autumn 2023)
Abstract
Aim and Introduction
Today, planners and decision makers of countries need timely and accurate evaluation of their decisions and policies. The issue of time and precision is so important that it provides the possibility of implementing possible changes and modifications of patterns and plans, and prevents wasting resources and opportunities. Fortunately, various indicators have provided such a possibility to evaluate these policies and decisions. Misery index is one of the most important measures of social welfare. This index is obtained from the linear combination of inflation and unemployment. This index was introduced by Aokan (1999) and expanded by Barro (1996). An increase in the misery index is associated with many social and economic costs, such as an increase in crime, poverty, divorce, a decrease in social security, damage to mental health, the collapse of families, a decrease in health expenses, and a decrease in life expectancy. Inflation causes the imposition of welfare costs by reducing the value of people’s financial assets, and on the other hand, it harms production by creating uncertainty in the decisions of institutions for investment and creating other costs. Inflation leads to sub - optimal allocation of resources, economic inefficiency and social, cultural and political disorder of the society. Unemployment like inflation is the cause of chaos in the economic conditions of the society. Unemployment has caused people to suffer from social problems such as crimes, addiction and moral corruption. Unemployment causes people to be caught in social problems such as crime, addiction and moral corruption.
Methodology
Knowledge and awareness of the state of misery index in the regions of the country in certain time horizons are very important for the planners of the region and economic policy makers of the country. Considering the importance of the misery index, this question is raised: Which factors affect the convergence of the misery index in the provinces? In this regard, several studies have been conducted in the field of misery index. However, none of the studies have investigated the influence of the factors affecting the convergence of the misery index in the provinces using spatial econometrics.
In economic literature, there are several methods for investigating the convergence. Absolute beta convergence and conditional beta convergence have been used in this study. Absolute beta convergence is formed independently of initial conditions and other characteristics of an economy.
For this purpose, using theoretical foundations and empirical studies, the variables of economic growth, monetary indiscipline, human capital, and information and communications technology (ICT) were added to the convergence model as explanatory variables. Absolute beta convergence and conditional beta convergence models have been estimated using the spatial econometric method over the period 2006-2020.
In this study, after defining the spatial weight matrix, the unit root test is used to examine the "stationary" of the variables. Moran test and Lagrange multiplier test are used to detect spatial autocorrelation and examine the presence of spatial effects, respectively. Chow's test is used to determine whether the data is a panel, and Hausman's spatial test is used to use the fixed or random effect method. Finally, the model is estimated, and effects of space spillovers are analyzed with "spatial econometrics method" by accounting for direct and indirect effects in Stata software.
The calculations of the overflow coefficients of each province on other provinces and the drawing of maps were done using R software and Maptools, Spdep and IMPact function packages for the year 2019.
The statistical data including inflation and unemployment rates are used to calculate misery index. Gross domestic product, population, number of university graduates (as human capital index) are extracted from statistical yearbook of the provinces and Statistical Center of Iran. The penetration coefficient of the internet (as ICT indicator) is extracted from Ministry of Communications and Information Technology, as well as facilities and deposits after deducting legal trust are gathered from the Central Bank of Iran. The statistical population of this study is the provinces of Iran except for Alborz province.
The results of stationary test using Levin, Lin and Chu (2002) method showed that all variables are stationary at level. Also, the null hypothesis of Moran's test regarding the absence of spatial effects in absolute convergence model and conditional convergence model was rejected. Therefore, the presence of spatial effects in absolute and conditional convergence models was confirmed. According to the conducted tests, the spatial auto-regression method (SAC) was used in this study. The results of the spatial Hausman test also showed that the models should be estimated using the fixed effects method.
Findings
The results of estimating the models showed that economic growth and human capital have a negative and significant effect, ICT and monetary indiscipline of banks have a positive and significant effect on the convergence of the misery index in the provinces. According to the speed of convergence, in the case of annual absolute convergence of about 10.9 % and in the case of conditional convergence of about 12.6 % , the gap between the " current growth rate of the misery index " of the provinces and the " long - term equilibrium misery index " of the provinces will be resolved. In the case of conditional convergence, the time required to eliminate half of the aforementioned gap is about 5.5 years. It should be noted that in this study, the misery index is a negative variable. The interpretation of the beta coefficient means that there is an opposite relationship between the initial situation and the average growth rate of the misery index: That is, regions with a lower "misery index" move towards the average misery index with a higher speed and higher growth rate than other regions. This means that the economic situation of the provinces is getting worse. Therefore, it is expected that the provinces will converge to their long - term equilibrium misery index and the gap between the current growth rate of the province's misery index and its long - term equilibrium will be resolved.
Discussion and Conclusion
According to the positive and significant effect of the monetary indiscipline index on the convergence of the misery index in the provinces, it can be said that with the increase of monetary indiscipline in the banks, liquidity has increased at the community level. Consequently, it has caused an increase in the general level of prices and an increase in the misery index. On the other hand, due to the economic situation of Iran, the existence of economic and banking sanctions and the impossibility of financing and investing in foreign sectors, the government's credit facilities and debt to banks have increased, and the monetary indiscipline index of banks is increasing, and as a result, the liquidity risk of banks is increasing. As a result, the lending power of banks will decrease, that is, it is not possible to grant large bank loans to drive the productive and entrepreneurial sectors into spur the economic growth of the provinces, and this will cause a decrease in employment, a decrease in the level of production, and then an increase in unemployment. This is why the misery index increases in the provinces. The spatial coefficient of the interval of the dependent variable is positive and significant. The existence of a positive and significant coefficient of the spatial dependence variable shows the positive effect of the poverty index of neighboring provinces on each other, so the distance between the provinces of the country has an effect on the convergence of the poverty index.
Today, planners and decision makers of countries need timely and accurate evaluation of their decisions and policies. The issue of time and precision is so important that it provides the possibility of implementing possible changes and modifications of patterns and plans, and prevents wasting resources and opportunities. Fortunately, various indicators have provided such a possibility to evaluate these policies and decisions. Misery index is one of the most important measures of social welfare. This index is obtained from the linear combination of inflation and unemployment. This index was introduced by Aokan (1999) and expanded by Barro (1996). An increase in the misery index is associated with many social and economic costs, such as an increase in crime, poverty, divorce, a decrease in social security, damage to mental health, the collapse of families, a decrease in health expenses, and a decrease in life expectancy. Inflation causes the imposition of welfare costs by reducing the value of people’s financial assets, and on the other hand, it harms production by creating uncertainty in the decisions of institutions for investment and creating other costs. Inflation leads to sub - optimal allocation of resources, economic inefficiency and social, cultural and political disorder of the society. Unemployment like inflation is the cause of chaos in the economic conditions of the society. Unemployment has caused people to suffer from social problems such as crimes, addiction and moral corruption. Unemployment causes people to be caught in social problems such as crime, addiction and moral corruption.
Methodology
Knowledge and awareness of the state of misery index in the regions of the country in certain time horizons are very important for the planners of the region and economic policy makers of the country. Considering the importance of the misery index, this question is raised: Which factors affect the convergence of the misery index in the provinces? In this regard, several studies have been conducted in the field of misery index. However, none of the studies have investigated the influence of the factors affecting the convergence of the misery index in the provinces using spatial econometrics.
In economic literature, there are several methods for investigating the convergence. Absolute beta convergence and conditional beta convergence have been used in this study. Absolute beta convergence is formed independently of initial conditions and other characteristics of an economy.
For this purpose, using theoretical foundations and empirical studies, the variables of economic growth, monetary indiscipline, human capital, and information and communications technology (ICT) were added to the convergence model as explanatory variables. Absolute beta convergence and conditional beta convergence models have been estimated using the spatial econometric method over the period 2006-2020.
In this study, after defining the spatial weight matrix, the unit root test is used to examine the "stationary" of the variables. Moran test and Lagrange multiplier test are used to detect spatial autocorrelation and examine the presence of spatial effects, respectively. Chow's test is used to determine whether the data is a panel, and Hausman's spatial test is used to use the fixed or random effect method. Finally, the model is estimated, and effects of space spillovers are analyzed with "spatial econometrics method" by accounting for direct and indirect effects in Stata software.
The calculations of the overflow coefficients of each province on other provinces and the drawing of maps were done using R software and Maptools, Spdep and IMPact function packages for the year 2019.
The statistical data including inflation and unemployment rates are used to calculate misery index. Gross domestic product, population, number of university graduates (as human capital index) are extracted from statistical yearbook of the provinces and Statistical Center of Iran. The penetration coefficient of the internet (as ICT indicator) is extracted from Ministry of Communications and Information Technology, as well as facilities and deposits after deducting legal trust are gathered from the Central Bank of Iran. The statistical population of this study is the provinces of Iran except for Alborz province.
The results of stationary test using Levin, Lin and Chu (2002) method showed that all variables are stationary at level. Also, the null hypothesis of Moran's test regarding the absence of spatial effects in absolute convergence model and conditional convergence model was rejected. Therefore, the presence of spatial effects in absolute and conditional convergence models was confirmed. According to the conducted tests, the spatial auto-regression method (SAC) was used in this study. The results of the spatial Hausman test also showed that the models should be estimated using the fixed effects method.
Findings
The results of estimating the models showed that economic growth and human capital have a negative and significant effect, ICT and monetary indiscipline of banks have a positive and significant effect on the convergence of the misery index in the provinces. According to the speed of convergence, in the case of annual absolute convergence of about 10.9 % and in the case of conditional convergence of about 12.6 % , the gap between the " current growth rate of the misery index " of the provinces and the " long - term equilibrium misery index " of the provinces will be resolved. In the case of conditional convergence, the time required to eliminate half of the aforementioned gap is about 5.5 years. It should be noted that in this study, the misery index is a negative variable. The interpretation of the beta coefficient means that there is an opposite relationship between the initial situation and the average growth rate of the misery index: That is, regions with a lower "misery index" move towards the average misery index with a higher speed and higher growth rate than other regions. This means that the economic situation of the provinces is getting worse. Therefore, it is expected that the provinces will converge to their long - term equilibrium misery index and the gap between the current growth rate of the province's misery index and its long - term equilibrium will be resolved.
Discussion and Conclusion
According to the positive and significant effect of the monetary indiscipline index on the convergence of the misery index in the provinces, it can be said that with the increase of monetary indiscipline in the banks, liquidity has increased at the community level. Consequently, it has caused an increase in the general level of prices and an increase in the misery index. On the other hand, due to the economic situation of Iran, the existence of economic and banking sanctions and the impossibility of financing and investing in foreign sectors, the government's credit facilities and debt to banks have increased, and the monetary indiscipline index of banks is increasing, and as a result, the liquidity risk of banks is increasing. As a result, the lending power of banks will decrease, that is, it is not possible to grant large bank loans to drive the productive and entrepreneurial sectors into spur the economic growth of the provinces, and this will cause a decrease in employment, a decrease in the level of production, and then an increase in unemployment. This is why the misery index increases in the provinces. The spatial coefficient of the interval of the dependent variable is positive and significant. The existence of a positive and significant coefficient of the spatial dependence variable shows the positive effect of the poverty index of neighboring provinces on each other, so the distance between the provinces of the country has an effect on the convergence of the poverty index.
| Page 1 from 1 |