Design of robust control strategy in drug and virus scheduling in nonlinear process of chemovirotherapy

, Article Computers and Chemical Engineering ; Volume 150 , 2021 ; 00981354 (ISSN) Mobaraki, M ; Moradi, H ; Sharif University of Technology

Elsevier Ltd 2021

Abstract

Since the injection of the oncolytic viruses in the virotherapy process reduces the toxicity and drug resistance inherent in the chemotherapy; chemovirotherapy as a novel combination therapy has become an efficient cancer treatment. The primary purpose of this paper is to design a robust optimal control strategy for the chemovirotherapy through which the tumor density decreases to its stable condition with limited drug and virus delivery. This desired treatment should be responsive in the presence of input disturbances and parametric uncertainties. In this regard, an ODE (Ordinary Differential Equation) mathematical model of the chemovirotherapy process presenting the connection between the...

Performance of a linear controller in the nonlinear model of drug and virus delivery in cancer chemovirotherapy: A comparison between continuous and discrete approaches

, Article Scientia Iranica ; Volume 30, Issue 3 B , 2023 , Pages 969-982 ; 10263098 (ISSN) Mobaraki, M ; Moradi, H ; Sharif University of Technology

Sharif University of Technology 2023

Abstract

Best cancer treatment is the one which reduces the tumor's density in minimum time with less side effects, considering the input limitations. In this paper, a tracking controller was designed to achieve the mentioned objectives, simultaneously. An ordinary differential equations (ODEs)-based mathematical model of a human's body under chemovirotherapy was selected, which includes the uninfected and infected tumor cells, free viruses, immune cells, and a chemotherapeutic drug. Stability analysis was used to determine the sensible equilibrium points. For tracking purposes, a servo controller based on the entire eigenstructure assignment (EESA) approach was applied to the model, continuously and...

Using Robust Control in Drug and Virus Scheduling in Chemovirotherapy Nonlinear Model

, M.Sc. Thesis Sharif University of Technology Mobaraki, Mobina (Author) ; Moradi, Hamed (Supervisor)

Abstract

Best cancer treatment is the one which reduces the tumor density in minimum time and side effects, considering the input limitations. In this paper, tracking controller and robust controllers are designed to achieve the mentioned objectives, simultaneously. An ODE-based mathematical model of the human body under chemovirotherapy is selected, which includes the uninfected and infected tumor cells, free viruses, immune cells, and a chemotherapeutic drug. For tracking purposes, a servo controller based on the entire eigenstructure assignment (EESA) approach is applied to the model, continuously and discretely. For robust purposes H-infinity and D-K iteration approaches are implemented and...

Undamaged-to-Damaged Structural Response Mapping for Structural Health Monitoring Using Generative A dversarial Networks (GANs)

, M.Sc. Thesis Sharif University of Technology Rahmani, Mobina Sadat (Author) ; Rahimzadeh Rofooei, Fayyaze (Supervisor)

Abstract

In this study, a Cycle-Generative Adversarial Network (Cycle-GAN)-based approach is proposed to transform the dynamic response of structures from a healthy to a damaged state and vice versa, aiming to improve damage identification and reduce the need for paired data. This method enhances signal conversion accuracy, facilitating the prediction of damage presence or absence while minimizing dependency on extensive experimental data. Traditional Structural Health Monitoring (SHM) methods, such as mechanical sensors and numerical analyses, face limitations such as high costs, operator dependency, and the requirement for fully paired data. Deep learning algorithms, particularly those based on...

Solvent Extraction of Indium from PlS Solution Produced of Zinc Concentrate Leaching

, M.Sc. Thesis Sharif University of Technology Mobaraki Moghaddam, Mahya (Author) ; Yoozbashizadeh, Hossein (Supervisor)

Abstract

Indium is one of the most important metals in electronics and nuclear industry with increasing demand. The most important application of Indium is in the preparation of thin films containing this metal in LCD manufacturing, television, laptops, monitors and CD players. Indium is a rare metal and it has not original mineral. The most important source of it is zinc minerals and regularly obtained from processing by-products of this minerals. The main problem of production of Indium is the simultaneous presence iron ions in the solution of dissolved minerals of zinc. In this project, extraction of Indium from acidic pregnant leaching solution of roasted zinc concentrate contained at less than...

Proton Path Tracking in Proton Computed Tomography using Machine Learning

, M.Sc. Thesis Sharif University of Technology Ramezani, Zohreh (Author) ; Vosoughi, Naser (Supervisor) ; Riazi Mobaraki, Zafar (Supervisor) ; Alibeigi, Ehsan (Co-Supervisor)

Abstract

One of the main problems in proton computed tomography is the reduction of the spatial resolution of the image due to multiple Coulomb scattering of protons while passing through the material. Estimating the most likely path of protons inside the material can be beneficial to solve this problem. In this regard, artificial neural networks, as one of the innovative solutions in the field of machine learning, have helped to improve the accuracy of estimating the most likely path of protons. In this study, an artificial neural network with an adaptive moment estimation optimization algorithm was designed to estimate the most likely path of protons. The network was trained using data obtained...

Application of Multiscale methods for Modeling Spatial Heterogeneity in Complex Reservoirs

, M.Sc. Thesis Sharif University of Technology Hajizadeh Mobaraki, Alireza (Author) ; Farhadpour, Farhad A (Supervisor) ; Sayf Kordi, Ali Akbar (Supervisor)

Abstract

Underground reservoirs are highly complicated due to the presence of spatial heterogeneities at length scales that span from micrometer in pore structure of the rocks to kilometer in the reservoir models. While large-scale flow units need to be characterized using seismic and well data, detailed displacements of fluids in pore space need to be modeled using thin section analysis and pore network modeling. It is therefore necessary to adopt a multi-scale approach to reservoir description to make best use of all the available data that vary over several orders of magnitude, from micro-scale in pore structure to field scale in reservoir flow models. In this thesis, an integrated framework for...

Prevention of gestational diabetes mellitus (GDM) and probiotics: Mechanism of action: A review

, Article Current Diabetes Reviews ; Volume 16, Issue 6 , 2020 , Pages 538-545 Homayouni, A ; Bagheri, N ; Mohammad Alizadeh Charandabi, S ; Kashani, N ; Mobaraki Asl, N ; Mirghafurvand, M ; Asgharian, H ; Ansari, F ; Pourjafar, H ; Sharif University of Technology

Bentham Science Publishers 2020

Abstract

Background: Gestational Diabetes Mellitus (GDM) is a health problem that is increasing around the world. Introduction: Prevention of GDM, rather than treatment, could have several benefits in terms of both health and economic cost. Even a slight reduction in maternal glucose in non-diabetic women, particularly in women at high risk for GDM, may have significant benefits for pregnancy results and the future health of off-springs. Probiotics are a relatively new intervention, which are assessed by mothers’ metabolism, and can reduce blood sugar levels, prevent gestational diabetes and reduce the maternal and fetal complications resulting from it. The aim of this study was to review the studies...