In this research study the effect of different widths of baffles, different distances of baffles rows and bed slopes on structure's energy dissipation was investigated using the physical models of baffled apron drops with 3 different widths (7.5, 11.25 and 15cm), and 3 different row spaces (15, 22.5 and 30cm), and three bed slopes of drop (21.8, 25.6 and 35 degrees). In total a number of 120 experiments were carried out with different combinations of baffles size and spaces, bed slope and different discharges (15, 20, 25 and 30lit/s). The measured energy losses show that increasing of baffle width and row space increases the energy loss. Also the bed slopes of 25.6o and 35 o have the maximum and the minimum energy losses, respectively. According to these experiments the model with the largest width and row space on the 25.6 o bed slope has the maximum energy dissipation, when compares with the other considered models.

The aim of this study was to compare the effect of linear and nonlinear training on the coordination pattern of drop forehand badminton skills of adolescent girls in Tehran. The research method was quasi-experimental and was performed as pretest and posttest. The statistical population of the present study consisted of all adolescent girls aged 10 to 12 years in Shiroodi Club, District 7 of Tehran. The statistical sample of this study consisted of 30 beginner girls in badminton who had less than 3 months of experience in badminton, who were selected by purposive sampling and randomly divided into two groups of linear and nonlinear training. Thirty participants were trained in drop forehand skills using linear and nonlinear training methods. The linear method was designed and implemented based on traditional and conventional methods and in contrast to the nonlinear method derived from ecological dynamics using task constraints (rules related to activity and equipment). For data analysis, descriptive (mean and standard deviation) and inferential (paired t-test and analysis of covariance) statistical methods were used on SPSS software version 22. The results of the present study showed that the two groups had a significant difference in the pattern of coordination and accuracy of drop forehand skills and the nonlinear training group had better performance than the linear group (p <0.05). The results of the present study showed that nonlinear training is a good method to improve the coordination patterns of drop forehand badminton skills in adolescents.

In this paper a weighted Fuzzy min-max classifier (WL-FMM) which is a type of fuzzy min-max neural network is described. This method is a quick supervised learning tool which capable to learn online and single pass through data. WL-FMM uses smaller size with higher weight to manipulate overlapped area. According to experimental results, proposed method has less time and space complexity rather than other FMM classifiers, and also user manual parameters has less effect on the results of proposed method.

Hydrologists have always tried to classify atmospheric and hydrologic events in order to simplify the hydrologic convolutions and the observations or to save the time and the budget. Most of these methods are used for the regionalization of hydrologic phenomena like rainfall, streamflow and other components of water cycle. Multivariate techniques have been underlined as suitableand powerful tools for classifying the meteorological data such as rainfall. The karoon river, especially in mountains, is faced big floods, great economic and enviromental damages during recent years. Its hydrologic processes were examined to offer a suitable analysis of its changes trends. In this research, we tried to recognize the data trends and the suitable model of estimating in the future by using Box-cox convert, time series model and helping AIC and BIC indexes. So, we recognize the following models for estimating and suitable trend: ARIMA (4&1) in Shaloo station, ARIMA (2,1,1) * (3,0,3) in Armand station, ARIMA (,0,1) * (3,0,0) * 3 in Barz station and ARIMA ( ,0,0) * (3,1,1) * 4 in Marghak station. Then, we chose statistic period of 2000-2004 as an evidence and recomparing, and we compared data recorded (evidence) and model estimating. However, there was a positive correlatin between data recorded and estimating, we confirmed an upward in the river discharge.