Showing 4 results for Farokhi
Hamid Reza Gheiji , Hasan Kordi , Ahmad Farokhi , Abbas Bahram,
Volume 15, Issue 5 (3-2014)
Abstract
Background : Manipulative skills are one of the fundamental skills subtitles which is used in most of daily and sports activities. The aim of this study was to compare the effect of traditional games and ordinary games on manipulative skills development in 8-10 years old Gorgan boys with educable mental retardation. Materials and Methods: Personal information was evaluated by the researcher made questionnaire and children's intelligence by the Wechsler test. Also, manipulative skills were assessed by the Test of Gross Motor Development- edition 2 (TGMD-2) in pre-test. Then, participants were distributed into two groups traditional games (n=15) and ordinary games (n=15) randomly. Post-test of TGMD-2 were done from two groups after 8 weeks training (3 sessions per week and 45 min for each session). Data analyzes was done by independent t-test, paired t-test and variance analysis with repeated measurement in a significant rate (α= 0.05). Results: The two groups showed significant improvements in manipulation skills, but the improvement of traditional games group was significantly more than ordinary games group in all of measured manipulating skills (throwing, catching, kicking, striking, dribbling , rolling a ball) (p<0.05). Conclusion: It can be said, selected traditional games could be an appropriate program for the manipulative skills development of children.
Maliheh Riki, Amir Tukmechi, Farah Farokhi,
Volume 18, Issue 4 (3-2017)
Abstract
Background : Probiotics are defined as different microorganisms that may have positive effects on preventing or treatment of special pathologic conditions. Lactobacillus casei and L. paracasei as probiotics could induce the apoptosis in human cancer cells in vitro. Chronic myeloid leukemia is categorized as a blood cells cancer and the most common type of leukemia. The expression of mutant p53 protein increases resistance against apoptosis in cancer lines. So the aim of this study was to evaluate the effect of L. casei and L. paracasei cell wall and cytoplasmic fractions on the expression of mutant p53 protein in K562 cancer line by ELISA.
Materials and Methods: First, L. casei and L. paracasei was cultured and disrupted by sonication and finally cell wall separated from cytoplasmic extraction by centrifugation, then prepared different concentrations of cell wall and cytoplasmic fraction. Finally, p53 protein levels were measured by ELISA, in cells treated with the cell wall and cytoplasmic fraction.
Results: ELISA result showed that cell wall and cytoplasmic fraction statistically (P˂0.05) reduced the levels of mutant p53 protein compared to the control.
Conclusion: It’s concluded that there is a relationship between reduced expression of p53 protein and induction of apoptosis in cells with mutant p53 gene. It could provide a way for cancer treatment in a smart manner.
Marjan Bakhtiarnia, Keivan Maghooli, Fardad Farokhi, Khosrow Jadidi,
Volume 22, Issue 2 (8-2020)
Abstract
Background: Keratoconus is a common disease characterized by progressive corneal slimming and steepening. The disease progression is generally accompanied by the significant decline in the vision, aggravation of irregular corneal astigmatism and the resultant decrease in the patient's quality of life. One of the successful treatments for Keratoconus is the corneal ring implantation. The prediction of post-surgical visual characteristics has been considered in this study to assist the ophthalmologist in appropriately choosing surgery candidates.
Materials and Methods: In this study, the set of data collected from numerous tests of visual characteristics performed before and after implanting the keraring and myoring rings has been utilized. By using MATLAB software, the visual characteristics of keratoconus patients after implanting the rings have been estimated through correct training of the proposed neural networks. The characteristics include: uncorrected visual acuity (UCVA), sphere (SPH), astigmatism (Ast), orientation of astigmatism (Axis), and best corrected visual acuity (BCVA).
Results: In this research, for the first time, the visual characteristics of keratoconus patients six and twelve months after implanting the corneal ring have been predicted with the mean error of 9.51% manipulating a novel neural-network-based method.
Conclusion: The results indicate the precision and accuracy of the proposed method in predicting the visual characteristics of keratoconus patients after implanting the corneal rings. The ophthalmologist could precisely choose the right candidate for surgery amongst his patients based on the estimated characteristics.
Marjan Bakhtiarnia, Keyvan Maghooli, Fardad Farokhi, Khosrow Jadidi,
Volume 22, Issue 3 (11-2020)
Abstract
Background: Keratoconus is a common complication among corneal defects. As a result of expeditious and extensive progress of medical science in recent decades, corneal ring implantation has turned into a successful surgical procedure to correct the vision of Keratoconus patients; however, selecting the right patient is essential in the success of the operation. The prediction of corneal condition or, more precisely, the prediction of corneal topographic indices after implanting the ring has been taken into consideration in the present study.
Materials and Methods: Neural network framework is one of the optimal methods for the modeling and prediction. In this study, corneal topographic indices of patients have been predicted 6 and 12 months after the ring implantation for the first time using the multilayer feed forward neural network. The study has focused on predicting corneal topographic indices that are applicable to Keratoconus diagnosis and progression using MATLAB software. Therefore, the statistical data of a number of patients, including the effective indices of the cornea topography before and after implanting the ring, were collected.
Results: Using the collected data, neural network models have been developed and the corneal topographic indices have been predicted 6 and 12 months after the implantation of keraring and myoring rings. The mean error of 7.22% is achieved for the four trained neural network models.
Conclusion: Choosing the right surgical candidate is one of the primary concerns of ophthalmologists. The results indicate the great capability of neural networks in assisting ophthalmologists to select right surgical candidates through predicting corneal topographic indices after the ring implantation.