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Brain is the most important organ in human body. All of our memories are saved on brain. Brain activity is analyzed by electroencephalogram signals (EEG). Brain activity and memory signal represent brain activity that can be recorded in different brain regions. Electroencephalography signal analysis can provide complete and comprehensive information about brain activity. Working of brain memory as an activity is analyzed by EEG. The main purpose of this research is to review the types of memory and especially working memory in humans by processing of EEG. In this regard, memory and types of memory have been discussed at the beginning. Then the brain activity and memory signal, recording method, electrode placement, brain potentials are discussed. Then, the complexity of the brain activity and memory signal in memory has been investigated. Then, memory and its relationship with brain activity and memory signal have been discussed. Areas affected by memory are expressed in the brain. After the researches about brain activity and memory signals in memory, it has been investigated. [ABSTRACT FROM AUTHOR]

Introduction In the recent literature on poverty and growth two main questions are receiving increasing attention: How much do the poor share in aggregate economic growth? And what factors explain differences (across space or over time) in the impacts of economic growth on poverty? In economic activities, with the growth of the agricultural sector, it is expected that extreme poverty will be reduced and income distribution will become more appropriate. Agricultural sector contains employment opportunities, both direct and indirect, which increase national output more than many others sectors. Research shows that the most successful economies are those that push the industry towards increasing exports. Studies show that the growth rate of the service sector (in terms of employment) is higher. Education, health and recreation services, have a positive impact on the quality of the organization. Professional services, including special skills for increasing competitiveness of firms provide special expertise for a business company which is competitive. One of the other policies that come to fight poverty is increasing human capital through training people. Increasing levels of education lead to increasing individual employment. This means that the main level of a nation's life is the ability to use skills, awareness about issues related to health and education. Income inequality is another important factor affecting poverty which is in a close relationship with it. In fact, as income inequality increases, the gap between the poor and the rich becomes wider. Since the growth of agriculture, industry and service sectors and the impact of variables such as education, health and social assistance on them are important, the question is what relationships might exist between these variables and poverty and welfare? Previous research has shown that growth in average income is correlated with reduction in the occurrence and depth of poverty. Looking at 67 countries, Ravallion and Chen (1997) find that inequality changes were uncorrelated with growth rates between 1981 and 1994, implying that poverty declines are strongly correlated with growth in mean incomes. They estimated that the elasticity of poverty incidence (at the “$1-a-day” line) to mean household income was about −3. Ravallion (2001) finds a lower elasticity of −2.1, when an econometric correction is made for measurement errors in surveys. Dollar and Kraay (2002) also found that “growth is good for the poor:” in a sample of 92 countries, over four decades, the mean incomes of the poorest 20% of the population grew on average at the same rate as overall mean incomes. For India, Ravallion and Datt (1996) found that growth in the agricultural and (especially) service sectors had a higher impact on poverty than manufacturing growth. Using state-level data over time for India, Ravallion and Datt (2002) found that the elasticity of poverty to non-agricultural growth varied significantly across states, and was greater in states with higher initial literacy and farm productivity, and lower landlessness and infant mortality. There is a relationship between poverty and social welfare, as it is shown in figure (1). Figure (1)- Poverty and social welfare Material & Methods We studied the poverty and welfare impacts of economic growth in provinces of Iran using information on poverty and social welfare, output by sector and a number of controls variables for a period spanning 8 years. We used value added information for sector growth data bases and household information for calculating the social welfare index and poverty index. We applied sectorial variation in these data to shed light on the determinants of poverty dynamics in Iran. Since we have a panel of 28 provinces in 8 years, we allow the regression coefficients to vary by provinces. The estimation method is GMM. In this method we use instruments and lags for variables. To motivate our specification choice, consider first the following model in levels: Here is social welfare in province i on year t. is the average income and G is Gini coefficient. A is agricultural sector output; I is industrial sector output; and S is service sector output. So there is a lag for all of the variables. Discussion of Result & Conclusions Iran's disappointingly low rate of poverty reduction and high welfare between the 2000 and 2007 was not due only to weak economic growth — though this was certainly key. It also reflected a low growth elasticity of poverty reduction, consistent with the country's high level of inequality. In this paper, we investigated three possible sets of factors that determine the distributional component of poverty reduction and more social welfare. We did find marked differences in the poverty-reducing effect of growth across different sectors, with growth in the service sector being consistently more pro-poor than either in agriculture or industry sectors.