Mahdi Salimi

Islamic Azad University, Yazd

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Talebi Ghadam Ali

Tehran University of Medical Sciences

Fatemeh Keshvari

Shahid Beheshti University

Mohsen Salimi

Ferdowsi University of Mashhad

Shakouri Seyyed Kazem

Saeid Rezaei Talyabee

Reza Soleimanee Moghadam

Saeedeh Hashemian

Islamic Azad University, Yazd

F. Javidrad

University of Science and Technology

Rasoul Daneshfaraz

University of Maragheh

Mahmoud Mousavi Mashhadi

Qazvin Islamic Azad University

Cooperative Institutions

Tehran University of Medical Sciences

Shahid Beheshti University

Institute for Cognitive Science Studies

Iran Meteorological Organization

K.N.Toosi University of Technology

Ferdowsi University of Mashhad

Islamic Azad University, Yazd

Université du Québec à Trois-Rivières

Islamic Azad University, Tehran

Chemistry and Chemical Engineering Research Center of Iran

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MODIFYING THE CLASSIC M-G METHOD USING CDM FOR SUPERALLOYS

Mahdi Salimi Mahmoud Mousavi Mashhadi F. Javidrad

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Sedimentation Estimation Study Using Artificial Neural Network for Karaj Dam Reservoir in Iran

Mohsen Salimi Yousef Hassanzadeh Rasoul Daneshfaraz Mahdi Salimi

All reservoirs are subjected to sediment inflow and deposition up to a certain extent leading to reduction in their capacity. In this paper, a simple model has been developed for estimation of the sediment volume retained in the Karaj (Amirkabir) reservoir in Iran. In the present study, with considering sedimentation process, annual parameters related to rainfall, inflow and outflow values, are categorized as model input parameters and retained sediment volume was regarded as an output one.Since 32 years, available annual data for Amirkabir reservoir, 23 years data was used for training and the remaining 9 years data used for, model testing. The pattern of the sediment volume retained in this reservoir was well captured by multi-layer perceptron (3-3-1) artificial neural network (ANN) model, using the feed forward back propagation algorithm with Levenberg Marquardt training function and sigmoid activation function for the hidden layer and linear function for the output one. Based on several performance indices like correlation coefficient (R), root mean square error (RMSE), mean absolute error (MAE), average absolute relative error (AARE) and efficiency coefficient (E), it was found that the ANN model is able to estimate volume of the sediment retained in the reservoir with better accuracy as compared to conventional regression analysis.

Inflow

Sigmoid function

Sedimentation

Multilayer perceptron

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Effects of Intellectual Capital on Organizational Innovation and Organizational Agility in Staff of Youth and Sport Offices: Role of Professional Ethics Mediator

Mahdi Salimi Fatemeh Keshvari

Mediator

Professional ethics

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Nano composite a potential low cost adsorbent for removal of cyanine acid

Chemical Engineering Journal (2012)

Saeedeh Hashemian Mahdi Salimi

Sawdust

Langmuir adsorption model

10.1016/j.cej.2012.02.008

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The investigation of personality characteristics in athlete andnon-athlete students

European Journal of Experimental Biology (2013)

Saeid Rezaei Talyabee Reza Soleimanee Moghadam Mahdi Salimi

The purpose of this study was comparison of big five personality traits including Neuroticism, Extraversion, Openness to experiences, Agreeableness and Conscientiousness between athlete (n=263) and non-athlete (n=263) students. To evaluation of variables, NEO-FFI (revised short form) personality questionnaire used that designed by Costa & McCrea (1992). Independent T-test was used to comparison of athlete and non-athlete students in five personality traits. The research results showed that there were significant differences between groups in neuroticism, extraversion, agreeableness and conscientiousness, but, no any differences observed between groups in openness to experiences. Athletes’ group gained higher score at Extraversion, Agreeableness and Conscientiousness and lower score at Neuroticism.

Agreeableness

Conscientiousness

Openness to experience

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Preparation of Proper Culture Medium for Saccharomyces cerevisiae var. boulardii with Molasses and Animal Serum

DOAJ (DOAJ: Directory of Open Access Journals) (2015)

Mahdi Salimi Mohamadreza Mahzonieh

Introduction The purpose of this study was formulation and preparation of a proper culture medium for Saccharomyces cerevisiae var. boulardii with molasses and animal serum.Methods A fully-crossed factorial design contain 5%, 10% and 20% of molasses (M) with 0, 1% and 5% animal serum (S) was used in this study. The pH of all culture medias were adjusted to 5.6 with acetic acid. The seed was consisted of 106 yeast particles which was added to culture media. The inoculated medias were incubated at 37°C for 48 h and the mean yeast counts was recorded.Results The mean of yeast counts for 5% M% S, 5% M% S, 5% M% S, 10% M% S, 10% M% S, 10% M% S, 20% M% S, 20% M% S, 20% M% S were 273333±20033, 228666±34428, 317333±170485, 499333±100425, 516000±38314, 514666±107057, 499333±100425, 516000±38314 and 514666±107057 particles in ml, respectively. In order to optimize culture medium, vitamins and vitamins in combination with minerals (at a concentration of 0.5%) were added to the optimal concentration of molasses and serum.Conclusion Statistical analysis with ANOVA test showed that the growth rate of yeast in 10% molasses plus 1% serum had a significant difference with 5% and 10% molasses in solid medium or 5% molasses supplemented with 1% serum (p

Saccharomyces boulardii

Yeast extract

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The Correlations among Subjective, Physical, and Electrophysiological Findings in Patients with Carpal Tunnel Syndrome

Medical Journal of Tabriz University of Medical Sciences and Health Services (2012)

Eteraf Oskouei Mir Ali Talebi Ghadam Ali Shakouri Seyyed Kazem Mahdi Salimi

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