Paying attention to the health of people in the community is one of the main challenges that has received much attention in recent years. Regarding the importance of the healthcare sector in the life of the community, evaluation of the performance of this sector is important. One of the most practical methods for evaluating performance is the use of data envelopment analysis approach. In this paper, changes 's performance of healthcare sector of Iranian provinces in terms of their performance in 1393-1396, using data envelopment analysis along with window analysis are considered. The results show that during 1393-1396, the performane of healthcare sector of the provinces West Azarbaijan, Zanjan, Qazvin, Kohkiluyeh and Boyer Ahmad have improved. performance of healthcare sector of the provinces Isfahan, North Khorasan, Kerman, and Yazd have gotten worse. Manuscript profile

Dust storm is one of the environmental threats in arid and semi-arid regions of the world like Iran which causes serious damages in these areas. Lorestan province is one of the most vulnerable western provinces exposed to dust storm. In this study, climatic parameters includes precipitation, temperature, the maximum wind speed and predominant wind direction were collected from 5 meteorological stations (Khorramabad, Borujerd, Aligudarz, Nurabad and Pol dokhtar) on the basis of monthly and annually scale during 10 years (2001-2010) and thirty dust storm systems were selected as indicator. Then, the correlation between climatic parameters and dust storms was analyzed by Data Envelopment Analysis (DEA) method. The results showed that the maximum and minimum numbers of dusty days in the study area were in 2008 and 2003, respectively. Also, Peak of dust storm frequency was recorded in July which is highly related to temperature in semi-arid climate including Lorestan province. The DEA method along with the window analysis showed that at some of the stations examined, over time the viewing angle was lower with the passage of time and in some other places was more, the viewing angles had not changed in some stations. It was also found that the average temperature index was the most sensitive index. It is concluded that by moving from the western to the eastern parts of Lorestan province by increasing distance from neighbor countries, local dust sources has become more important than foreign sources and dust storm intensity decreased Manuscript profile

Unemployment is one of the most important economic problems in Iran, so that many of its managers plan to increase employment rates. Increasing the employment rate needs to increase economic productivity which DEA is one of the most appropriate evaluation methods for estimating the productivity of similar organizations. Employment in the amount of data input and output can be just interval. In this study by solving two models, using one of which the upper bound for efficiency and using the other, the lower bound for decision making units efficiency is acquired, we provide a new model for Most productive scale size with interval data. The main purpose of this study is to determine the productivity of Iran and sensitive indicators to provide a fundamental solution to exit from unemployment. The economic sector managers can do more exact planning for economic growth. Manuscript profile

Measuring the productivity of banks, accompanied by analyzing and comparing their performance, have important roles in improving their productivity and efficiency so that they make up the backbone of the plans of banks. Initially, the Malmquist Productivity Index (MPI), one of the indicators of productivity measurement, is introduced. Hence, the paper describes how to obtain this index using the Data Envelopment Analysis (DEA). Then, the performance of Mellat Bank branches in Lorestan province is evaluated using the MPI to identify the efficient branches and the critical indicators of each branch, in order to increase their productivity Manuscript profile