A total of 1099 data points consisting of alcohol-alcohol, alcohol-alkane, alkane-alkane, alcohol-amine and acid-acid binary solutions were collected from scientific literature to develop an appropriate artificial neural network (ANN) model. Temperature, molecular weight of the pure components, mole fraction of one component and the structural groups of the components were used as input parameters of the network while the refractive index was selected as its output. The ANN was optimized once by genetic algorithm ((GA)) and once a(GA)in by particle swarm optimization algorithm (PSO) in order to predict the refractive index of binary solutions. The optimal topology of the ANN-(GA) consisted of 13 neurons in the hidden layer and the optimal topology of the ANN-PSO consisted of 16 neurons in the hidden layer. The results revealed that the ANN optimized by PSO had a better accuracy (MSE=0. 003441 for test data) compared to the ANN optimized with (GA) (MSE=0. 005117 for test data).

Background and objectives: Carpal Tunnel Syndrome (CTS) is the most common mononeuropathy encountered in clinical practice. Conventional electro diagnosis studies have been useful in the diagnosis of this condition. The Terminal Latency index (TLI) is a derived neurophysiological value that adjusts the Distal motor Latency (DL) for the terminal distance and motor nerve Conduction Velocity (CV).Several studies have suggested utility of the median TLI for diagnosis of CTS.The goal of this study is to evaluate prospectively the sensitivity of the median TLI in the diagnosis of CTS and compare it with other electrodiagnosis techniques.Material and Methods: This study was done on 111 patients as CTS group & 62 healthy subject as control group. In all groups five selected tests of electrodiagnosis were done and all of them were compared with TLI sensitivity.Results: The mean TLI was 0.3±0.05 in the CTS group and 0.42±0.03 in the control group. The sensitivity of TLI was 73% The TLI wasn't statistically better than the other tests, but in three cases from the CTS group, the TLI was the only abnormal test.The 7 and 14 cm method had meaningful sensitivity in contrary to other tests.Conclusion: The sensitivity of TLI has no meaningful difference with other routine electro diagnostic tests in diagnosis of CTS.The median TLI is a useful but not more sensitive electrodiagnostic test for CTS.

Introduction: Three methods of OCRA index, Strain index (SI), and ACGIH HAL have been proposed for the assessment of risk factors of upper limb musculoskeletal disorders. Investi(GA)ting the correlation and consistency of these three methods are of prominence importance in the workplaces. Thus, this study aimed to determine the correlations of the results of the above mentioned methods. Materials and Methods: In this cross-sectional study, a total of 150 tasks were studied in four industries. For each task, a video taping of a full working cycle was prepared and evaluated according to the instructions of each method. The level of risk exposure to musculoskeletal disorders was analyzed with correlation and Kappa agreement coefficient tests using SPSS (version 16) and R software packages.Results: The correlation between the results of risk assessments of OCRA and SI methods for right and left hands were acceptable and equal to 0.751 and 0.726, respectively (p<0.001). Meanwhile, the coefficients of agreement between OCRA and HAL methods for left and right hands were 0.526 and 0.595, respectively.Conclusion: These findings partly confirmed the agreement between the methods of risk assessment. The origin of this partial agreement can be the number and type of variables and their impacts on the final score of the methods.

The edge and total versions of geometric-arithmetic ((GA)) index of graphs are introduced based on the end-vertex degrees of edges of their line and total graphs, respectively. In this paper, the edge and total (GA) indices are computed for some graphs by using some results on (GA) index and graphs.

Introduction: J.E.Hirsch introduced H index to scientometric domain, representing actual scientific profitability quality of a researcher’s publications; and is equal to effective index for researchers. Literature review: Studies showed that documents database have provided different H scores for each researcher and for different scientific fields. Despite the utmost advantages of H-index it also have some flaws such as need to use complementary indices such as m, r, g index. Conclusions: The strength point of H index, is its ability to use in limited levels which is an complementary for other bibliomeetric exist indexes. This index, with others, could be a suit index to improvement scientific levels for researchers, scientist, and scientific board members.