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Showing 4 results for Dorani
Investigating the effect of static magnetic field on male sperm parameters

Volume 11, Issue 3 (Summer 2020)
Abstract
According to the formation and evolution of life along with static magnetic fields,the permanent exposure has given adaptive ability to beings. Therapeutic magnetism is one of the branches of complementary medicine which uses  the low intensity and non-harmful magnetic fields to the body. By studying in infertile couples (20% male factor), the only cause of infertility and in 50% of cases it is considered as an intermediate factor. One of the influential factors in infertility in men is sperm. In the present study, normal specimens in the magnetic field under the intensities of 1,6 and 12 millitesla and at 1,3 and 5 h intervals.
Sperm movement rate was evaluated by CASA, as well as sperm viability, by eosin staining of necrosin and morphology by staining Papanicula. The results of this step on normal sperm showed a significant reduction in the sperm movement ,which  that was not affected by the field.
Morphological studies also show that sperm motility is not affected by magnetic field.. the survival rate of sperm  was affected by the magnetic field was significantly reduced, and the sperm morphology remained unchanged
Nonlinear simulation of thermo-viscous fingering instability in anisotropic porous media

Volume 18, Issue 3 (5-2018)
Abstract
In this paper, thermal-viscous fingering instability of miscible flow displacements in anisotropic porous media is studied .for the first time An exponential dependence of viscosity on temperature and concentration is represented by two parameters β_T and β_C, respectively. The effect of anisotropic properties of permeability tensor, Lewis number and thermal lag coefficient are investigated. Creation and propagation of these fingers are playing an important role in displacement of fluids and especially on oil transformation from discovered oil reservoirs in enhanced oil recovery process. In nonlinear simulation, a spectral method based on the Hartley transforms are used to model the thermal-viscous fingering instability in anisotropic porous media. The results include concentration and temperature contours, sweep efficiency, and mixing length. The results indicated that by increasing the anisotropic permeability ratio, the fingers arrive later to the end of the front, instability decrease and more stable flow is obtained. Also, by increasing the Lewis number, thermal front appears without any fingers. Decreasing the thermal lag coefficient causes to the thermal front stays behind the flow front and increasing the stability of the flow field.
Modeling Land Use Change Using Perceptron Neural Network (Case Study: Lahijan City)

Volume 24, Issue 1 (Spring 2020)
Abstract
Introduction
 Population growth and migration of (from or to) cities has led to the construction of unstructured and large changes in the spatial structure and expansion of cities. This causes changes in the surface of the earth and the conversion of natural effects of the earth such as soil and vegetation to the urban texture. So, the first consequence of the expansion of cities is land use change. Today, land use change and land cover have become a major challenge in many countries. Hence, the study of these changes plays a major role in the world's environmental studies. In order to better manage natural and human ecosystems and develop long-term planning, it is necessary to model land use changes and predict future changes.
Methodology
The research method is applied in terms of purpose and  the nature and method of descriptive-analytic research, and the method of data collection in this study is also a library research. In this study, for land use changes during the 29-year period, images were first provided  from the website of the Geological Survey of the United States. Then, using ENVI software, the pre-processing operation was performed to apply atmospheric and radiometric corrections. Also, the specimens of educational and supervised classification of images for land use in four levels (lands, rice field, forests, gardens and Water zone) were studied. Then, in the IDRISI SELVA software, simulation was used to predict future changes using the perceptron neural network.
Results and Discussion
Before the main analysis of the data and the extraction of the information, it is necessary to perform the pre-processing operation. Then several time satellite images used in the research after atmospheric and radiometric corrections were used to prepare the land use map and Maximum likelihood algorithm was used to classify the desired classes. The selection of effective variables in predicting urban growth is an important and useful information for the user to understand the desirability of land use change. Therefore, in the present study, distance variables from the road are considered as independent static variables, and distance from the landfill, distance from the land, and the distance from the forest and gardens are considered as independent variables were used. Among the models that are used in the simulation of land use change, neural networks are multilayered perceptron. Therefore, this model was used to simulate land use changes in this study. Finally, according to the Kramer coefficient, the distance from the road has the least effect and the distance variable of the land has the greatest impact on land use change and transmission potential modeling. Then, user-potential mapping maps were generated through multi-layer perceptron neural networks for an 8-year time span. Also, in the maps produced, regions with a warm color spectrum have the greatest potential for change, and are more vulnerable to areas with a cool color spectrum.
Conclusion
Today, land use change and land cover have become a major challenge in many countries. These changes have a direct impact on environmental components such as soil, water and atmosphere. Which This causes changes in the surface of the earth and the conversion of natural effects of the earth such as soil and vegetation to the urban texture. Due to the fact that the city of Lahijan, like many other cities in Iran, has faced expansion of construction in recent years, so, today, the city has undergone significant changes in land use. The purpose of this study is to model and predict land use changes using the Multilayer Perceptron, . In this regard, in order to implement this model, Landsat classified satellite images for the four periods of 1989, 2000, 2010 and 2018, as well as four independent variables including distance from the road, distance from Shalizar, distance from the forest and gardens, And and distance from the land, were built to simulate land use changes. The study resulted in the generation of transmission potential mapping with the 84.58 accuracy index, which shows that the distance from the land constructed  the greatest impact and the distance from the road has the least effect on land use change variations.

 

Establishment of Callus Induction, Cell Suspension Culture, and Agrobacterium-mediated Transformation system for Iranian Rice Cultivars

Volume 24, Issue 5 (9-2022)
Abstract
Up to now, a large number of optimized plant systems have been established for various purposes in Japonica and Indica rice. Based on genetic diversity in rice cultivars, this study established highly efficient protocols for in vitro callus induction, cell suspension cultures, and genetic transformation for some Iranian rice cultivars using mature embryos. In this study, the effect of different concentrations of 2,4-D (0.0, 1.0, 1.5, and of 2.0 mg L-1) on callus induction were investigated in 10 cultivars. Regarding higher callus induction frequency and mean weight of fresh calli, Hashemi, Binam, and Kazemi cultivars were selected for the experiments. The effects of kinetin (0.0, 1.0, and 2.0 mg L-1) and sucrose (30.0 and 60.0 g L-1) concentrations were tested to improve the biomass yield of a cell suspension culture. The MS medium supplemented with 0.5 mg L-1 2,4-D, 2.0 mg L-1 kinetin, and 60.0 g L-1 sucrose exhibited the maximum cell growth in the selected cultivars. The transformation efficiency for different bacterial strains (EHA105, LBA4404, and AGL-1), OD600 (0.1, 0.3, 0.6), the concentration of acetosyringone (50, 100, 200 μM), and co-cultivation period (1, 2, 3 days) were evaluated. The presence and expression of gusA gene in transgenic cultivars were determined by GUS histochemical assay, PCR, and RT-PCR analysis. The result showed that Hashemi cultivar had the highest cell biomass and efficiency of genetic transformation (58%) with EHA105 at bacterial OD600= 0.3, in 100 (μM) acetosyringone and two days of co-culture time. The findings offer insights for genetic transformation studies in Iranian rice cultivars.

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