Shahid Bahonar University of Kerman is a research institution and university of engineering and science in Iran, offering both undergraduate and postgraduate studies. Located in Kerman province of Iran, the university is among the top ten universities and research institutes in Iran, illustrating its high status in research and education.The Shahid Bahonar University of Kerman occupies an area of 5 million square meters, making it one of the largest universities in Iran and the region. The university has two major campuses in the city of Kerman and several smaller campuses spread out across the province of Kerman offering degrees in over 100 different specialties leading to B.A., B.Sc., M.A., M.Sc., D.V.M., or Ph.D. degrees. Although there has been some moves by the smaller campuses in the province to become independent universities, there are still strong ties between these newly established universities and The Shahid Bahonar University of Kerman.The college of art and architecture is Saba Faculty of Art and Architecture, named after Afzalipour's wife.Shahid Bahonar University of Kerman was appointed as the Center of Excellence by Iran's Ministry of Science and Technology in the field of Mathematics. In 1980 the Department of Mathematics was awarded the first doctoral degree in mathematics in all of Iran. Moreover the second and third doctoral candidates in mathematics awarded in the country were also graduates of this department. Wikipedia.
Mohebbi A.,Shahid Bahonar University of Kerman
Journal of Molecular Liquids | Year: 2012
Nanofluids, a new thermal fluids, have scientific challenges because the existing theories underpredict their thermal conductivity. One way to calculate this parameter is equilibrium molecular dynamics (EMD). In the previous studies of EMD, the thermal conductivity of nanofluids was calculated by the autocorrelation function of the heat current through the Green-Kubo formula. The convergence of this function requires a large time, nevertheless convergence of integral may still be slow or not well behaved. In this study, a new method based on combination of equilibrium and non-equilibrium molecular dynamics simulation in a non-periodic boundary conditions was used to calculate the thermal conductivity. In this method, first the specific heat and the thermal diffusivity of a nanofluid were determined by EMD and non-equilibrium (NEMD) respectively. Then the thermal conductivity was calculated from the relation of thermal diffusivity with the constant volume specific heat. This approach was tested by the nanofluid of silicon nitride nanoparticles in a liquid argon. The CHARMM22 force field and the force field of silicon nitride were combined to perform the simulation. The nanoparticle was generated according to the data of X-ray crystallography. The results of simulation for the base fluid at different temperatures were compared with experimental data to check the accuracy of the MD modeling. The effects of temperature and nanoparticle loadings on the thermal conductivity were investigated. The results showed that the thermal conductivity increases with increasing the loadings and decreasing the temperature. The calculation of root mean square displacements for liquid argon showed that the thermal transport enhancement of the nanofluid was mostly due to the increased movement of liquid phase atoms in the presence of non-metallic nanoparticle. This finding was also confirmed by the analysis of the density profile of liquid atoms near the interface. Finally, the comparison of the results of this study with other researchers showed the kind of nanoparticle could not significant to increase the thermal conductivity of nanofluids. © 2012 Elsevier B.V. All rights reserved.
Hassanshahian M.,Shahid Bahonar University of Kerman
Marine Pollution Bulletin | Year: 2014
Biosurfactants are surface active materials that are produced by some microorganisms. These molecules increase biodegradation of insoluble pollutants. In this study sediments and seawater samples were collected from the coastline of Bushehr provenance in the Persian Gulf and their biosurfactant producing bacteria were isolated. Biosurfactant producing bacteria were isolated by using an enrichment method in Bushnell-Hass medium with diesel oil as the sole carbon source. Five screening tests were used for selection of Biosurfactant producing bacteria: hemolysis in blood agar, oil spreading, drop collapse, emulsification activity and Bacterial Adhesion to Hydrocarbon test (BATH). These bacteria were identified using biochemical and molecular methods. Eighty different colonies were isolated from the collected samples. The most biosurfactant producing isolates related to petrochemical plants of Khark Island. Fourteen biosurfactant producing bacteria were selected between these isolates and 7 isolates were screened as these were predominant producers that belong to Shewanella alga, Shewanella upenei, Vibrio furnissii, Gallaecimonas pentaromativorans, Brevibacterium epidermidis, Psychrobacter namhaensis and Pseudomonas fluorescens. The largest clear zone diameters in oil spreading were observed for G. pentaromativorans strain O15. Also, this strain has the best emulsification activity and reduction of surface tension, suggesting it is the best of thee isolated strains. The results of this study confirmed that there is high diversity of biosurfactant producing bacteria in marine ecosystem of Iran and by application of these bacteria in petrochemical waste water environmental problems can be assisted. © 2014 Elsevier Ltd.
Sheykhi A.,Shahid Bahonar University of Kerman |
Sheykhi A.,Research Institute for Astronomy and Astrophysics of Maragha RIAAM
Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics | Year: 2010
Scalar-field dark energy models like tachyon are often regarded as an effective description of an underlying theory of dark energy. In this Letter, we implement the interacting agegraphic dark energy models with tachyon field. We demonstrate that the interacting agegraphic evolution of the universe can be described completely by a single tachyon scalar field. We thus reconstruct the potential as well as the dynamics of the tachyon field according to the evolutionary behavior of interacting agegraphic dark energy. © 2009 Elsevier B.V. All rights reserved.
Rahnamaeian M.,Shahid Bahonar University of Kerman
Plant Signaling and Behavior | Year: 2011
Complicated schemes of classical breeding and their drawbacks, environmental risks imposed by agrochemicals, decrease of arable land, and coincident escalating damages of pests and pathogens have accentuated the necessity for highly efficient measures to improve crop protection. During co-evolution of host-microbe interactions, antimicrobial peptides (AMPs) have exhibited a brilliant history in protecting host organisms against devastation by invading pathogens. Since 1980s, a plethora of AMPs has been isolated from and characterized in different organisms. Nevertheless the AMPs expressed in plants render them more resistant to diverse pathogens, a more orchestrated approach based on knowledge of their mechanisms of action and cellular targets, structural toxic principle, and possible impact on immune system of corresponding transgenic plants will considerably improve crop protection strategies against harmful plant diseases. This review outlines the current knowledge on different modes of action of AMPs and then argues the waves of AMPs' ectopic expression on transgenic plants' immune system. © 2011 Landes Bioscience.
Khorshid S.,Shahid Bahonar University of Kerman
Expert Systems with Applications | Year: 2010
The problem of reaching a consensus in group decision-making situations is considered. A model is proposed for developing a soft consensus between decision-makers under a fuzzy environment. The model is based on a flexible idea of the coincidence between the degrees of positive and negative ideal agreement. We offer a consensus indicator to assess the level of group consensus. This could be used by group facilitators to develop strategies to achieve consensus among decision-makers through feedback. Finally, a numerical example illustrates the model application. © 2009 Elsevier Ltd. All rights reserved.