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Introduction: Increasing natural childbirth and decreasing cesarean section is one of the strategies for improving maternal and neonatal health to achieve the millennium development goals. In order to achieve this goal, health transformation plan and program for promotion of natural childbirth have been developed and implemented in Iran. Therefore, this study was performed with aim to analyze the trend of natural childbirth and cesarean section indicators in order to realize the goals of the health transformation plan in Madaen Hospital, Tehran. Methods: In this cross-sectional study, the data of delivery and cesarean section were collected from 2013 to 2017. Changes in the level and trend of natural childbirth and cesarean sections before and after transformation plan were evaluated by independent t-test and regression model of cut-off in STATA software (version 15). Results: The trend of natural childbirth after implementation of the plan increased by 0.685% per month (p=0.020) and the trend of cesarean section decreased by 0.749% per month (p=0.011). In the 3-year period after the health transformation plan, the percentage of natural childbirth increased by 0.680 per month (p

In this paper, the critical parameters of a method of welding with shielding gas arc welding (GMAW) are discussed; this method is an important process in creating high quality metal permanent connections in various industries, including the automobile industry to improve the quality of stem diameter welding parameters. One of the most useful techniques for modeling and solving the problems is Response Surface Method. In this paper, considering five most important factors such as speed welder, torch angle with the work piece, electrode diameter, wire speed, gas consumption ,and CO2 levels as input variables, can be controlled independently from the level of response, the relationship between the input variables and the response variables were determined using linear regression. Then optimum value for each factor was calculated using non-linear programming model to evaluate the results obtained along with the comparison of output of the Simulation Annealing Algorithm. In this study, both qualitative and quantitative variables are considered to evaluate and optimize all response variables regarding that these variables are not the same, and then fuzzy set theory and LP metric are used to find answers for multi-objective optimization methods.