Showing 8 results for Ozgoli
Volume 6, Issue 1 (10-2015)
Abstract
در این مقاله اثر ضد رگ زایی داروی آرتیمیزینین برای مقابله با رشد تومور سرطانی مورد بررسی قرار گرفته است.به این منظور از رویکرد مدلسازی استفاده شده است. ابتدا یکی از مدل های موجود در ادبیات برای انطباق با نتایج تجربی، بهبود داده شده و سپس پارامتر های آن با استفاده از روش بیشترین شیب بر مبنای داده های آزمایشگاهی جمع آوری شده از موش های آزمایشگاهی استخراج شده است. سپس بر مبنای مدل استخراج شده، روش پایداری لیاپانوف برای طراحی برنامه دارو دهی مد نظر قرار گرفته و یک برنامه دارو دهی برای درمان و کنترل رشد تومور سرطانی ارائه گردیده است. با استفاده از شبیه سازی های رایانه ای نشان داده شده است که برنامه دارو دهی ارائه شده مناسب بوده و می تواند منجر به ایجاد بهبود در روند درمان و کنترل رشد تومور سرطانی گردد. در طراحی برنامه دارو دهی مقدار سمیت داروی آرتیمیزینین نیز لحاظ شده است.
Volume 9, Issue 1 (Winter 2021)
Abstract
Aims: The quality of antenatal care is recognized as critical to the effectiveness of care in optimizing maternal and child health outcomes. Utilization indices exist to measure the quantity of prenatal care, but currently, there is no accessed instrument to assess the quality of prenatal care in Iran. The purpose of this study was to examine the cross-cultural adaptation of quality of prenatal care using the 46-item Quality Prenatal Care Questionnaire in low-risk pregnant women.
Materials & Methods: This cross-sectional and psychometric study was performed from June 2018 to January 2019. Two hundred thirty women were referred to community-based practitioners, antenatal hospital clinics, public system, and Private care options. The Quality Prenatal Care Questionnaire was used, and all the data were statistically analyzed using SPSS 22 and LISREL 8.80. The Chi-square test, Cronbach's alpha coefficient, KMO index, and Bartlett's test of sphericity, as well as EFA and CFA, were applied for statistical analysis.
Findings: Cronbach's alpha for all items was 0.90, and ICC was 0.93. Explanatory factor analysis demonstrated the adequacy of the sampling (Kaiser-Meyer-Olkin=0.80) and significant factorable sphericity (p<0.001). CFA also confirmed the values of fit indices (RMSEA=0.07, CFI>0.92, x 2/df=2.25).
Conclusion: The Quality Prenatal Care Questionnaire is a valid and reliable instrument for measuring antenatal care quality. The Quality Prenatal Care Questionnaire will be useful in future research as an outcome measure to compare the quality of care across geographic regions, populations, and service delivery, models.
Volume 9, Issue 2 (Spring 2018)
Abstract
Aims: One of the most important areas in medical research is the identification of disease-causing genes, which helps the identification of mechanisms underlying disease and as a result helps the early diagnosis of disease and the better treatment. In recent years, microarray technology has assisted biologists to gain a better understanding of cellular processes. To this end, the application of efficient methods in microarray data analysis is very important. The aim of this study was the introduction of GRAP Gene as Alzheimer’s disease candidate gene using microarray data analysis.
Materials and Methods: In the present bioinformatic study, which was conducted on an Alzheimer's microarray data set containing 12990 genes, 15 patients, and 16 healthy subjects, by combining Fisher, Significance Analysis of Microarray (SAM), and Particle Swarm Optimization (PSO) methods as well as Classification and Regression Tree (CART), a new method was presented for analyzing microarray gene expression data to identify genes involved in Alzheimer's incidence.
Findings: The accuracy level of the proposed method was 90.32% and the interpretation of the results from a biological point of view indicated that the proposed method has worked well; finally, the proposed method introduced 4 genes, of which, until now, 3 genes (75%) have been reported in biological studies as genes that cause Alzheimer’s disease.
Conclusion: In addition to proposing a new feature selection method for the analysis of microarray data, this study has introduced a new gene (GRAP) as a candidate gene related to Alzheimer’s disease.
Volume 13, Issue 4 (1-2014)
Abstract
This paper addresses robust state estimation problem for Genetic Regulatory Networks (GRNs). A delay-dependent robust filter is designed for a realistic nonlinear stochastic model of GRN. The model provided is the most complete model used in the literature so far, in the sense that delays are time-varying, parameter uncertainties (time-varying and norm-bounded) are considered, stochastic noises appear at the state equations as well as the measurement equations. Besides, stochastic noise and disturbance are considered simultaneously in this model. Using a proper Lyapunov-Krasovskii functional based on delay decomposition approach, sufficient conditions for the existence of the filter are derived in terms of linear matrix inequality (LMI). These conditions ensure robust asymptotic mean square stability of the filtering error dynamics with a prescribed disturbance attenuation level. By use of delay decomposition approach and using a lemma containing a stochastic integral inequality, the obtained conditions are delay-dependent and have less conservativeness. The filter parameters are determined then, as the solution of another LMI. A simulation study is also given to show the effectiveness of the proposed filter design procedure.
Amir Amini, Mahdi Sojoodi, Sadjaad Ozgoli,
Volume 14, Issue 15 (Third Special Issue 2015)
Abstract
In this paper, a novel method for solving consensus problem in a multi agent system consisting of single link manipulators with flexible joint is presented. This method is based on linear matrix inequalities and the objective is to design a dynamic fixed order controller that can fulfill consensus by using output feedback information and Laplacian Matrix of the network of manipulators. The exact model of a single Link manipulator is assumed thus a nonlinear Lipchitz term emerges. Each manipulator as an agent in the corresponding network obtains only its neighbors output information therefore the controller is decentralized. To guarantee consensus in this method, first the multi agent system should become one augmented system. Then, based on considered conditions on nonlinear terms, using appropriate structure conversion is necessary. The unknown controller state space matrices of the closed loop system can be achieved by using Lyapunov stability theorem. Applying special conditions on symmetric positive definite matrix in Lyapunov quadratic function, results in an LMI form, thus iterative methods of solving nonlinear matrix inequalities with less accuracy is prevented. Finally, to demonstrate the effectiveness of this algorithm and compare with similar earlier researches, a numerical example on a multi agent system consisting of three single link flexible manipulators is investigated.
Volume 16, Issue 1 (3-2016)
Abstract
— Air conditioning system (A/C) of the car imposes an additional load on the engine, increasing fuel consumption and losses. Therefore, any improvement in its performance has a direct impact on vehicle performance and fuel consumption. The automotive A/C system is a Multi Input- Multi Output (MIMO) plant and There are constraints on its variables So the method of Model Predictive Control (MPC) as an effective method. So far the MPC method is implemented largely for this system. In this paper a predictive control method based on orthonormal functions is provided for automotive air conditioning system. System's model has been changed with an embedded integrator, inputs and outputs changes are highly penalized in cost function and Laguerre orthonormal basis functions are added in MPC's structure and it will be shown that in the proposed control method compared to the conventional MPC method, the automotive air conditioning system performance has been improved and because of reduced computational load the runtime of simulations implementation has been reduced.
Jafar Kazemi, Sadjaad Ozgoli,
Volume 18, Issue 6 (10-2018)
Abstract
Lower extremity exoskeleton a motion assistive technology, has been developed in recent years. Generation of gait pattern is a fundamental topic in design of these robots. A usual approach in most of exoskeletons is to use a pre-recorded pattern used as look up table. There are some deficiencies in this method, including data storage limitation and poor regulation according to walking parameters. Therefore, it is required to modeling human walking pattern to use in exoskeletons. There are simple models for walking of healthy person and humanoid robots. Nevertheless, using these models may cause injury to joints of the patient or damage to robot motors due to physical limitation of the user’s body. In this paper, the physical limitations are represented as mathematical constraints. Considering these constraints, appropriate models are proposed for position of the joints. Then, inverse kinematics equations are used to generate joints angles. In this work, the model parameters consist of stride length and height, walking speed and length of user thigh and shin. The performance of the model is evaluated by implementing on Exoped robot. Satisfaction and convenience of the users demonstrates the good performance of the model.
Faezeh Azimi, Sajad Ozgoli, Majid M. Moghaddam,
Volume 21, Issue 4 (April 2021)
Abstract
Hands are complex moveable organs of the human body. some reasons such as stroke can cause the hands disordering. These patients have problem doing their daily routines. Communication between human and robots lead to inventing devices to improving ability. This paper aims to design and prototype a portable wearable robot. This robot has been designed to facilitate the daily routines of patients who are not able to extend their hands. Researchers are facing challenges like high cost due to numerous actuators and innumerous sensors used to control the system. As the number of elements used to build the device increase, the ultimate weight of the device, also, grows, and practically it loses portability. According to the importance of portability of the robot and the need for long-term use by the user, device components with less weight are designed in this work. In this regard, in the introduced mechanism, a torque is applied to the lowest metacarpophalangeal joints simultaneously by only one electric operator; therefore, fingers are opened. The power transmission system is inspired from the hand tendon with the help of the cable length changes. Because of disturbances and nonlinearity of the system, sliding mode controller to minimize the error is designed. The results demonstrate that the joint angle converges to the desired angle, and the error tends to zero. Good results of the practical test, in addition to being low cost, and weight imply that we can trust the extensibility of this project.
