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    “Xylotism”: A tablet-based application to teach music to children with autism

    , Article 9th International Conference on Social Robotics, ICSR 2017, 22 November 2017 through 24 November 2017 ; Volume 10652 LNAI , 2017 , Pages 728-738 ; 03029743 (ISSN); 9783319700212 (ISBN) Tavakol Elahi, M ; Habibnejad Korayem, A ; Shariati, A ; Meghdari, A ; Alemi, M ; Ahmadi, E ; Taheri, A ; Heidari, R ; Sharif University of Technology
    Springer Verlag  2017
    Technology is inevitable, and its role for clinical therapists and specialists cannot be ignored. The promising movement towards computer-based interventions, specifically the use of tablets as an effective and newly developed learning device for children with autism spectral disorder (ASD) highlights the role of technology in addressing the shortcomings of conventional therapy methods. In this paper, we present a new application, named as Xylotism, which is an interactive game to improve learning and teach music to children with autism spectrum disorder. The game can be played with/without parents/therapists’ involvement, which increases its usefulness and effectiveness. We have... 

    A bi-objective Hybrid Algorithm to Reduce Noise and Data Dimension in Diabetes Disease Diagnosis Using Support Vector Machines

    , M.Sc. Thesis Sharif University of Technology Alirezaei, Mahsa (Author) ; Akhavan Niaki, Taghi (Supervisor)
    There is a significant amount of data in the healthcare domain and it is unfeasible to process such volume of data manually in order to diagnose the diseases and develop a treatment method in the short term. Diabetes mellitus has attracted the attention of data miners for a couple of reasons among which significant effects on the health and well-being of the contracted people and the economic burdens on the health care system are of prime importance. Researchers are trying to find a statistical correlation between the causes of this disease and factors like patient's lifestyle, hereditary information, etc. The purpose of data mining is to discover rules that facilitate the early diagnosis... 

    Nonlinear Adaptive Control of Treatment in a Basic Hepatitis B Virus Infection Model in the Presence of Uncertainties

    , M.Sc. Thesis Sharif University of Technology Aghajanzadeh, Omid (Author) ; Zohour, Hassan (Supervisor)
    Hepatitis B is an infectious disease caused by the hepatitis B virus (HBV) which affects the liver. Several dynamic models have been developed to mathematically describe the HBV infection and antiviral therapy. In this thesis, a nonlinear adaptive control strategy is developed for the treatment of the Hepatitis B Virus (HBV) infection inside a body. The considered nonlinear HBV model has three state variables, the numbers of uninfected and infected cells and free viruses. The proposed control law is designed for the antiviral drug input such that the number of free viruses per unit volume of the blood and consequently the number of infected cells decrease to some desired values. The... 

    The Application of Profile Monitoring in Healthcare for Disease Monitoring- case Study

    , M.Sc. Thesis Sharif University of Technology Chabok, Sheyda (Author) ; Rafiee, Majid (Supervisor)
    Profile Monitoring is a new research topics in the field of statistical process control. In many applications of statistical quality control, sometimes quality of a process or product described by a relationship between a response variable and one or more independent variables.The researchers call this relationship profile. The study seeks to demonstrate that monitoring profiles In addition, the industry can be effective in medical field and improves control of the patient's condition by a doctor. Profiles are usually modeled with a linear regression equation, non-linear or polynomial. finally, the results of this study, using actual data, models and methods to predict and control... 

    Application Microarray Technology in Infectious Diseases

    , M.Sc. Thesis Sharif University of Technology Nazari Nodooshan, Khadijeh (Author) ; Mahdavi-Amiri, Nezameddin (Supervisor) ; Karami, Ali (Co-Advisor)
    DNA microarrays consist of DNA microscopic points that are attached to a solid surface such as glass, plastic or silicon chip and formed as an array. The fixed pieces of DNA are considered as searchers. In an experiment, we can use thousands of searchers. Therefore, any microarray consists of the same number of genetic tests as the experiment performed on all of them in parallel. Whit this ability, arrays have speeded up the biological investigations. Microarray technology can be seen as a continued development of southern blotting. However, the most important stage in this technology, analysis of data, requires reliable bioinformatics tools achieving high reliabilities. Infectious diseases,... 

    Application of Data Mining Techniques in Diagnosis & Prediction of Heart Disease

    , M.Sc. Thesis Sharif University of Technology jahangiri, Sonia (Author) ; Akhavan Niaki, Taghi (Supervisor)
    Nowadays, data is the most important asset for health organizations in which the process of collecting, storing and analyzing of data leads to success of health organizations. Many companies have turned to data mining for the beneficial use of these data. The main purpose of data mining is to obtain useful knowledge from existing data. One of the diseases that is very significant for data miners is cardiovascular disease. Cardiovascular disease is the most important cause of death in the world. Therefore, it is necessary to improve the diagnostic and predictive measures of these patients. In this study, a database containing of characteristics of patients with chest pain who referred to... 

    Diagnosis and Prediction of Coronary Arteries Disease by Applying Data Mining and Image Processing Techniques

    , M.Sc. Thesis Sharif University of Technology Hasoni Shahre Babak, Mohammad Sagegh (Author) ; Khedmati, Majid (Supervisor) ; Foroozan Nia, Khalil (Co-Supervisor)
    Heart disease is one of the major causes of death in all countries, especially developing countries. At the moment, using Image Processing methods as well as analysis of electrocardiographic signals, heart disease is diagnosed with the help of specialists. Applying artificial intelligence and machine learning methods, many studies attempted to provide models that are used to diagnose automatically the heart disease without the need for a specialist and only relying on the past data. But less is done on CTA images of the heart. Hence, in this thesis, a new method for image processing and a Multi Support Vector Machine (MSVM) classification for coronary artery disease detection based on CTA... 

    Mutation Prediction of Infectious Viruses Based on Different Machine Learning Approaches

    , M.Sc. Thesis Sharif University of Technology Ehteshami, Khashayar (Author) ; Ghafourian Ghahramani, Amir Ali (Supervisor) ; Kavousi, Kaveh (Supervisor)
    Predicting the evolution of viruses is vital in controlling, preventing, and treating diseases. Mutations that evade the host immune system can propagate and persist through generations, making it crucial to anticipate and combat them effectively. The 1918 H1N1 pandemic serves as an example of the devastating impact of pandemics caused by viral mutations. By predicting mutations in advance, we can identify potential future pandemics and take effective preventative measures to mitigate their impact. Proteins play a vital role in the functioning of viruses. They are involved in various processes, such as replication, transcription, and host cell invasion. Any changes in the protein sequence... 

    Prediction Using Data Mining Techniques in Healthcare

    , M.Sc. Thesis Sharif University of Technology Aliyari, Fateme (Author) ; Akhavan Niaki, Taghi (Supervisor)
    Poor decision making in health care has always had irreparable consequences for society. Also, expensive medical tests cause lots of problems for patients. A huge amount of data is produced daily by hospitals, which unfortunately are not used to improve decision making and predicting disease. Data mining can be an appropriate tool for extracting knowledge from a huge amount of data by using a variety of techniques such as prediction. The leading cause of death in the world is heart disease so this study has been designed to predict the incidence of that. Regarding the literature review, the Naïve Bayes method had predicted heart disease accurately. According to the specialist's opinion, some... 

    Robustness Improvement of the PD Patients' Activity Recognition Algorithm in Presence of Variations in Patients' Motion Patterns (Inter-Class Variations)

    , M.Sc. Thesis Sharif University of Technology Tariverdi, Amir Hossein (Author) ; Behzadipour, Saeed (Supervisor)
    Parkinson’s disease is considered as a progressive neurodegenerative disease that hasn’t any certain treatment. In Iran until 1390, there were about 150 thousand patient struggling with this disease. Rehabilitation is known as an effective treatment to decrease destructive progress of the disease. Because of motional problems of PD patients, it is hard to come to the clinics. So developing remote rehabilitation would be interested by researchers and occupational therapists. Therefore in the recent years, an activity recognition system has been developed in Mowafaghian research center. This system is based on IMU sensors and a NM classifier.These systems are challenging with some problems,... 

    A Metabonomics Study of Samples of Different Diseases: Investigation of Linear and Non-Linear Model by Nuclear Magnetic Resonance

    , Ph.D. Dissertation Sharif University of Technology Fathi, Fariba (Author) ; Tafazzoli, Mohsen (Supervisor)
    Metabonomics is a quantitative measurement of time dependent metabolic interactions for living systems in response to the pathological or genetic variations. NMR spectroscopy has emerged as a key tool for understanding metabolic processes in living systems. In this project, the study of metabolomics was performed as classification and regression on samples of parkinson’s disease, multiple sclerosis disease, celiac disease and crohn’s disease. In classification part, various methods were applied using optimal parameters.classification methods in Parkinson’s disease, multiple sclerosis disease, celiac disease and crohn’s disease were RF, CART, PLS-DA, RF and RF respectively. Based on the... 

    Numerical Study of Margination and Adhesion of Micro- and Nano-particles in Coronary Circulation

    , M.Sc. Thesis Sharif University of Technology Forouzandehmehr, Mohammad Amin (Author) ; Shamloo, Amir (Supervisor)
    Obstruction of Left Anterior Descending artery (LAD) due to thrombosis or atherosclerotic plaques is the leading cause of death world–wide. Targeted delivery of drugs through micro- Nano-particles holds noteworthy promise which can make clot busting or the restenosis treatment with minimal toxicity possible. In this work, Fluid-Structure Interaction (FSI) simulations of blood flow through a patient-specific reconstructed geometry of LAD artery have been conducted using a non-Newtonian hematocrit (HCT) dependent model for blood. Based on physiological facts, 25, 45 and 65 percentages of HCT were assumed as acceptable representations of anemic, healthy and diabetic blood conditions,... 

    A Quantitative Structure-Activity Relationship Study on Multiple Sclerosis (MS) Drugs

    , M.Sc. Thesis Sharif University of Technology Torkashvand, Rezvan (Author) ; Jalali-Heravi, Mehdi (Supervisor)
    In the present work we report a quantitative structure-activity relationship (QSAR) study on S1P1 receptor’s agonists that have therapeutic potential for autoimmune disorders such as Multiple Sclerosis (MS). Such studies play an important role in drug design and lead optimization by developing a mathematical relationship between the chemical structures of compounds and their biological activities.
    We used both linear and nonlinear techniques such as MLR and ANN respectively to model these compounds together with techniques such as Stepwise-MLR, GA-MLR and GA-ANN in the variable selection step as it is an important step in every QSAR study. Since topological descriptors are well... 

    Modeling of Different Geometries of Children's Heart Occluder's by Finite Element Method

    , M.Sc. Thesis Sharif University of Technology Mousavizadeh, Mohammad Hossein (Author) ; Arghavani, Jamal (Supervisor)
    Congenital heart defects are a type of heart diseases that some babies get at birth. These diseases generally have symptoms such as shortness of breath, headache, impaired blood supply, hyperplasia of the lungs, enlarged heart, and so on. In the past, open heart surgery was commonly used to treat such diseases, which was a costly and risky procedure. But over time, occluders made it easier. An occluder is referd to a device that is generally minimally invasive in the area of the fault and could block it. The occluders are usually braided type, with inside polyethylene fibers, where tissues can grow and clogs the defect over time. Although occluders have greatly increased the success rate of... 

    Queue Modeling of Patients in Waiting list of Kidney Transplantation

    , M.Sc. Thesis Sharif University of Technology Amini, Fatemeh (Author) ; Modarres Yazdi, Mohammad (Supervisor)
    As the number of patients waiting for receiving kidney transplantation increases all over the world, the average waiting time for a patient in queue rises too, and consequently, the rate of death goes beyond the accepted level. Also, unbalanced numbers of donors and patients with same blood type make the problem bolder. The aim of this research is to design a queuing model in which kidney could be transplanted from deceased donors to patients with different but compatible blood type (Cross-Transplantation) in order to make the average waiting time for patients with different blood type closer to each other. In other words, the transplant system is supposed to make a decision whether to... 

    2-D Modeling of Blood Flow in Mitral Valve During its Closing and Opening

    , M.Sc. Thesis Sharif University of Technology Jamshidi, Hadi (Author) ; Firoozabadi, Bahar (Supervisor) ; Saeedi, Mohammad Saeed (Co-Supervisor)
    Problems with the mitral valve can make the heart less efficient at pumping blood around the body. Severe problems can lead to heart failure if the valve is not surgically repaired or replaced. A simple approximation of the heart geometry is used and the valve dimensions are based on reported measurements. The primary objective for this study is to design and simulate the opening and closing behavior of the mitral valve using 2D fluid-structure interaction (FSI) model using ADINA software in order to evaluate and investigate the hemodynamic performance and problems of mitral valve, in which the blood is described as a viscous incompressible fluid, and the mitral valve is described as an... 

    Modeling of Genetic Mutations Associated with Protein Pathway Common in Alzheimer, Parkinson and Macular Degeneration Diseases

    , M.Sc. Thesis Sharif University of Technology Ghahremani, Amin (Author) ; Jahed, Mehran (Supervisor) ; Hossein Khalaj, Babak (Supervisor) ; Shahpasand, Kourosh (Co-Supervisor)
    Extensive studies have been performed on the genetic variations involved in common neurodegenerative diseases such as Alzheimer's, macular degeneration, and Parkinson's. In most cases, no specific gene has been identified pointing to a distinct pathogenic pathway, therefore, this study mainly aims to find common genes among aforementioned diseases according to determination of a specific pathogenic protein pathway.In this study, we reached a deep understanding of the function of nervous system and the discovery of causative agents of the diseases by applying the sources of information from genome datasets in bioinformatics analysis. The utilized database comprises the classification of... 

    Modeling the Kidney Market in Iran

    , M.Sc. Thesis Sharif University of Technology Naderi Tabar, Mohammad (Author) ; Fatemi Ardestani, Farshad (Supervisor)
    The purpose of this study is to model people's behavior on both sides of the kidney market. The healthy person decides to donate a live kidney (for a certain amount) on the supply side. On the demand side, the patient chooses between the two existing kidney queues, the living kidney and the cadaveric kidney, based on the individual's income and belief from the waiting time in each of the two queues. The sick person faces two critical risks in life: risk of death and kidney failure. To model these two risks, it is assumed that each person has a level of health that consists of two deterministic and stochastic parts. In this way, with a deterministic rate, a person's health level will decrease... 

    Modeling the Relationship between Central Aortic Pressure and Radial Photoplethysmogram in Flow-mediated Dilation Test

    , Ph.D. Dissertation Sharif University of Technology Parsafar, Mohammad Habib (Author) ; Vosughi Vahdat, Bijan (Supervisor) ; Zahedi, Edmond (Supervisor)
    According to the World Health Organization, about 35% of deaths worldwide are due to cardiovascular diseases, therefore the evaluation of vascular endothelial function has great prognostic and diagnostic value for cardiovascular diseases. The conventional noninvasive method for endothelial function evaluation is the measurement of flow-mediated dilation in brachial artery using ultrasound imaging (FMD-US). As the accuracy of FMD-US depends on the operator's skill and the resolution of the ultrasound images, this method has not been adopted. In this work, we propose to use a low cost, easily-accessible surrogate signal, the photoplethysmogram (PPG) to implement the FMD test. Whereas previous... 

    Expansion Modeling of Coronary Stent for Selection of Optimized Stent

    , M.Sc. Thesis Sharif University of Technology Izadi Ramini, Elaheh (Author) ; Movahhedy, Mohammad Reza (Supervisor)
    Referring to mortality increasment having sprung from atherosclerosis, work on treatment of coronary heart disease seems to be necessary. Stent implementation is one of stenosis treatment. Stent deployment has been done during past two decades, but clinical evidence showed that because of some weakness in designing and implementing, restenosis occurs again. Material, structure and coating texture of stent are the designing criteria beside stent implementation importance. Thus a lot of activities have been done in this area to improve performance of these applications. Nowadays a lot of companies' researchers try the best to get better their products; consequently there is different types of...