University of Qom is a state university located in Qom. Established in 1980 by Mohammad Beheshti and Mohammad Javad Bahonar.The university offers degrees in five colleges.Following an endorsement by the High Council of the Revolution and under the supervision of the Society of Seminary Teachers of Qom, the University of Qom was founded in 1358/1979 under the name “The High Educational and Legal School of the Seminarians”. In 1359/1980, the School admitted students from among the students of Qom seminaries. In 1364/1985, following a confirmation by the High Council of Cultural Revolution, the School admitted students from high school graduates, too. In 1376/1997, it changed its status to the University of Qom. Occupying an area of 140 acres. The University consists of six faculties, two research centers, a Tarbiat-Modarres Center, 58 academic fields and more than 300 faculty and visiting professors, as well as more than 6,000 students, located in Qom city . The university benefits students with academic environment and strong labs, especially in the fields of civil engineering, industrial engineering, and physics.the university also has strong faculty in math and theology and jurisprudence Wikipedia.
Rajaee T.,University of Qom
Science of the Total Environment | Year: 2011
In this research, a new wavelet artificial neural network (WANN) model was proposed for daily suspended sediment load (SSL) prediction in rivers. In the developed model, wavelet analysis was linked to an artificial neural network (ANN). For this purpose, daily observed time series of river discharge (Q) and SSL in Yadkin River at Yadkin College, NC station in the USA were decomposed to some sub-time series at different levels by wavelet analysis. Then, these sub-time series were imposed to the ANN technique for SSL time series modeling. To evaluate the model accuracy, the proposed model was compared with ANN, multi linear regression (MLR), and conventional sediment rating curve (SRC) models. The comparison of prediction accuracy of the models illustrated that the WANN was the most accurate model in SSL prediction. Results presented that the WANN model could satisfactorily simulate hysteresis phenomenon, acceptably estimate cumulative SSL, and reasonably predict high SSL values. © 2010 Elsevier B.V.
Nasrollahzadeh M.,University of Qom |
Mohammad Sajadi S.,Kurdistan Regional Government
Journal of Colloid and Interface Science | Year: 2016
For the first time the extract of the plant of Euphorbia granulate was used to green synthesis of Pd nanoparticles (NPs) as a heterogeneous catalyst for the phosphine-free Suzuki-Miyaura coupling reaction at room temperature. This method is a facile and eco-friendly way in organic synthesis using the plant extract as biomedia, bioreductant and capping ligand which considerably stabilizes the surface of Pd NPs. The presence of flavonoid and phenolics acids in the extract could be responsible for the reduction of Pd2+ ions and formation of the corresponding Pd NPs. © 2015 Elsevier Inc..
Foroughi A.A.,University of Qom
Computers and Industrial Engineering | Year: 2011
In a recent paper by Amin (Amin, Gholam R. (2009). Comment on finding the most efficient DMUs in DEA: An improved integrated model. Computers & Industrial Engineering, 56, 1701-1702), he proposed an improved approach to determine a single efficient DMU as the most (or the best) efficient DMU. It will be shown that this nonlinear mixed integer model may fail to produce a solution since it can be infeasible in some cases. In this paper, a linear mixed integer model is proposed which is feasible and can produce a single efficient DMU as well. The model can also be extended to rank all extreme efficient DMUs. Some properties and advantages of the model will be explained. The contents of the paper will be illustrated by some numerical examples including a real data set of nineteen facility layout alternatives. © 2010 Published by Elsevier Ltd. All rights reserved.
Ettefaghi M.M.,University of Qom
Physical Review D - Particles, Fields, Gravitation and Cosmology | Year: 2012
Detecting cosmic rays, in particular, gamma rays, coming from dark matter annihilation or decay is an indirect way to survey the nature of dark matter. In commutative space-time, the annihilation of dark matter candidates (weakly interacting massive particles) to photons proceeds through loop corrections. However, it is possible for weakly interacting massive particles as well as other standard model singlet particles to couple with photons directly in noncommutative space-time. In this paper, we study two-photon annihilation of singlet weakly interacting massive particles in noncommutative space-time. If noncommutative interactions are relevant to the relic abundance, one can exclude some dark matter masses by using Fermi-Lat data. © 2012 American Physical Society.
Akbarpour M.,University of Qom
Biology of Sport | Year: 2013
The aim of this study was to investigate the effect of 12 weeks of aerobic training on the serum levels of adiponectin and leptin and on inflammatory markers of coronary heart disease in obese men. Sixteen non-athlete obese men were randomly assigned to one of two experimental groups. The experimental group underwent aerobic training consisting of three sessions per week for 12 weeks, while the control group did not participate in the training programme during the study period. Five millilitres of venous blood was taken from each participant at the beginning of the study, during week six and at the end of week 12 to measure the levels of leptin, adiponectin, C-reactive protein, interleukin-6 and tumour necrosis factor-α. The findings showed that aerobic training led to decreases in the levels of CRP (P=0.002), IL-6 (P = 0.001) and leptin (P = 0.003) and an increase in the level of adiponectin (P = 0.002) in the experimental group relative to the control group. In addition, the level of TNF-α decreased in the experimental group after the 12-week aerobic training period, although this change was not statistically significant. According to the results of this study, regular aerobic exercise decreases the potential risk of coronary heart disease by improving the plasma levels of IL-6, adiponectin, leptin and CRP. Additionally, aerobic exercise can be used as effective non-pharmacological treatment to prevent diseases.