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    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... 

    Analyzing Dermatological Data for Disease Detection Using Interpretable Deep Learning

    , M.Sc. Thesis Sharif University of Technology Hashemi Golpaygani, Fatemeh Sadat (Author) ; Rabiee, Hamid Reza (Supervisor) ; Sharifi Zarchi, Ali (Supervisor) ; Ghandi, Narges (Co-Supervisor)
    We present a deep neural network to classify dermatological disease from patient images. Using self-supervised learning method we have utilized large amount of unlabeled data. We have pre-trained our model on 27000 dermoscopic images gathered from razi hospital, the best dermatological hospital in Iran, along with 33000 images from ISIC 2020 dataset. We have evaluated our model performance in semi-supervised and transfer learning approaches. Our experiments show that using this approach can improve model accuracy and PRC up to 20 percent on semi-supervised setting. The results also show that pretraining can improve classification PRC up to 20 percent on transfer learning task on HAM10000... 

    A review of commercially available non-invasive vascular screening technologies for clinical applications

    , Article 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012, 17 December 2012 through 19 December 2012 ; December , 2012 , Pages 568-573 ; 9781467316668 (ISBN) Sohani, V ; Zahedi, E ; Chellappan, K ; Mohd Ali, M. A ; Sharif University of Technology
    Cardiovascular diseases contribute to one third of the world's mortality and morbidity, therefore early cardiovascular disease diagnosis, treatment and monitoring has become an important market. Ideally, an early diagnosis device will need to be accurate, non-invasive, low cost and operator independent. Interestingly enough, there is a wide range of non-invasive devices available, but each with a different degree of accuracy and ease of use. In this paper, an attempt has been made to review commercially available technologies for non-invasive vascular screening. As stiffness index, reflection index, augmentation index, central aortic pressure are most commonly used to screen for vascular... 

    Interdisciplinary challenges and promising theranostic effects of nanoscience in Alzheimer's disease

    , Article RSC Advances ; Volume 2, Issue 12 , 2012 , Pages 5008-5033 ; 20462069 (ISSN) Laurent, S ; Ejtehadi, M. R ; Rezaei, M ; Kehoe, P. G ; Mahmoudi, M ; Sharif University of Technology
    During the last decade, reports show that the incidence and prevalence of Alzheimer's disease (AD) and other dementias have significantly increased. AD poses an enormous escalating threat to health services and resources. Early diagnosis of AD is recognized as one of the major challenges and primary aims in scientific communities. With the arrival of nanoscience and nanotechnology to medicine, hopes for early diagnosis and treatment of AD have considerably increased. To this end, nanobioresearchers are focused on three major areas consisting of early detection and recognition, biological markers and diagnosis, and pharmacotherapy. Several efforts are in progress for the discovery of new... 

    Inhibition mechanisms of a pyridazine-based amyloid inhibitor: as a β-sheet destabilizer and a helix bridge maker

    , Article Journal of Physical Chemistry B ; Volume 121, Issue 32 , 2017 , Pages 7633-7645 ; 15206106 (ISSN) Kalhor, H. R ; Jabbari, M. P ; Sharif University of Technology
    Conformational diseases have been investigated extensively in recent years; as a result, a number of drug candidates have been introduced as amyloid inhibitors; however, no effective therapies have been put forward. RS-0406 with pyridazine as its core chemical structure has so far shown promising results in inhibiting amyloid formation. In the present work, using molecular dynamics, we undertook the investigation of RS-0406 interactions with U-shaped Aβ1−42 and Aβ1−40 pentamers, Aβ1−42 monomers, and double-horseshoe-like Aβ1−42. To set better parameters for the small molecule, experimental and computational log P values were obtained. In addition, an analogue of RS-0406 was also simulated... 

    Iran in transition

    , Article The Lancet ; Volume 393, Issue 10184 , 2019 , Pages 1984-2005 ; 01406736 (ISSN) Danaei, G ; Farzadfar, F ; Kelishadi, R ; Rashidian, A ; Rouhani, O. M ; Ahmadnia, S ; Ahmadvand, A ; Arabi, M ; Ardalan, A ; Arhami, M ; Azizi, M. H ; Bahadori, M ; Baumgartner, J ; Beheshtian, A ; Djalalinia, S ; Doshmangir, L ; Haghdoost, A. A ; Haghshenas, R ; Hosseinpoor, A. R ; Islami, F ; Kamangar, F ; Khalili, D ; Madani, K ; Masoumi Asl, H ; Mazyaki, A ; Mirchi, A ; Moradi, E ; Nayernouri, T ; Niemeier, D ; Houshang Omidvari, A ; Peykari, N ; Pishgar, F ; Qorbani, M ; Rahimi, K ; Rahimi Movaghar, A ; Ramezani Tehrani, F ; Rezaei, N ; Shahraz, S ; Takian, A ; Tootee, A ; Ezzati, M ; Jamshidi, H. R ; Larijani, B ; Majdzadeh, R ; Malekzadeh, R ; Sharif University of Technology
    Lancet Publishing Group  2019
    Being the second-largest country in the Middle East, Iran has a long history of civilisation during which several dynasties have been overthrown and established and health-related structures have been reorganised. Iran has had the replacement of traditional practices with modern medical treatments, emergence of multiple pioneer scientists and physicians with great contributions to the advancement of science, environmental and ecological changes in addition to large-scale natural disasters, epidemics of multiple communicable diseases, and the shift towards non-communicable diseases in recent decades. Given the lessons learnt from political instabilities in the past centuries and the... 

    Graphene-based nanoparticles as potential treatment options for parkinson’s disease: A molecular dynamics study

    , Article International Journal of Nanomedicine ; Volume 15 , 2020 , Pages 6887-6903 Alimohammadi, E ; Khedri, M ; Jahromi, A. M ; Maleki, R ; Rezaian, M ; Sharif University of Technology
    Dove Medical Press Ltd  2020
    Introduction: The study of abnormal aggregation of proteins in different tissues of the body has recently earned great attention from researchers in various fields of science. Concerning neurological diseases, for instance, the accumulation of amyloid fibrils can contribute to Parkinson’s disease, a progressively severe neurodegenerative disorder. The most prominent features of this disease are the degeneration of neurons in the substantia nigra and accumulation of α-synuclein aggregates, especially in the brainstem, spinal cord, and cortical areas. Dopamine replacement therapies and other medications have reduced motor impairment and had positive consequences on patients’ quality of life.... 

    Electrospun nanofibers: A promising horizon toward the detection and treatment of cancer

    , Article Analyst ; Volume 145, Issue 8 , 2020 , Pages 2854-2872 Asghari, S ; Rezaei, Z ; Mahmoudifard, M ; Sharif University of Technology
    Royal Society of Chemistry  2020
    Due to the increase in the number of cancer patients, because of environmental parameters, high stress, low immunity, etc., there is an urgent need to develop cost-effective sensors for early targeted detection of cancerous cells with adequate selectivity and efficiency. Early disease diagnosis is important, as it is necessary to start treatments before disease progression. On the other hand, we need new, more efficient cancer treatment approaches with minimized side effects, more biocompatibility, and easy disposal. Nanobiotechnology is a field that can assist in developing new diagnostic and treatment approaches, specifically in fatal cancers. Herein, a study on the different applications... 

    The hot sites of α-synuclein in amyloid fibril formation

    , Article Scientific Reports ; Volume 10, Issue 1 , 22 July , 2020 Khammari, A ; Arab, S. S ; Ejtehadi, M. R ; Sharif University of Technology
    Nature Research  2020
    The role of alpha-synuclein (αS) amyloid fibrillation has been recognized in various neurological diseases including Parkinson’s Disease (PD). In early stages, fibrillation occurs by the structural transition from helix to extended states in monomeric αS followed by the formation of beta-sheets. This alpha-helix to beta-sheet transition (αβT) speeds up the formation of amyloid fibrils through the formation of unstable and temporary configurations of the αS. In this study, the most important regions that act as initiating nuclei and make unstable the initial configuration were identified based on sequence and structural information. In this regard, a Targeted Molecular Dynamics (TMD)... 

    Removal of airborne hexavalent chromium mist using chitosan gel beads as a new control approach

    , Article International Journal of Environmental Science and Technology ; Volume 3, Issue 3 , 2006 , Pages 305-313 ; 17351472 (ISSN) Tirgar, A ; Golbabaei, F ; Hamedi, J ; Nourijelyani, K ; Shahtaheri, S. J ; Moosavi, S. R ; Sharif University of Technology
    CEERS  2006
    Airborne hexavalent chromium is a known human respiratory carcinogen and allergen. Many workers are exposed to hexavalent chromium in various processes which chromium electroplating plants are the most common. In this study, the feasibility of a new control approach to remove this pollutant using chitosan beads as a biosorbent was investigated. Hexavalent chromium sorption was studied relative to pH, pollution concentration, sorbent concentration, temperature, and air velocity using one factor at a time approach and Taguchi experimental design. Polluted air with different chromium mist concentrations (10-5000 μg/m3) was contacted to chitosan beads (3.3-20 g/L), floating in distilled water... 

    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... 

    Social robots as assistants for autism therapy in Iran: Research in progress

    , Article 2014 2nd RSI/ISM International Conference on Robotics and Mechatronics, ICRoM 2014 ; Oct , 2014 , p. 760-766 Taheri, A. R ; Alemi, M ; Meghdari, A ; Pouretemad, H. R ; Basiri, N. M ; Sharif University of Technology
    Autistic children are often impaired in initiating and responding to Joint Attention. In recent years, there has been an increase in the application of robots in diagnosis and treatment of autism. The purpose of the current research has been primarily to originate the proper therapeutic scenarios and to implement two interactive humanoid robots as therapy assistants in autism treatment in Iran. To this end, the humanoid robots were programmed and teleoperated via Microsoft Kinect Sensor and PhantomOmni Haptic Robot to elicit reactions consisting of imitation of humans by the humanoid robots and vice versa. In this paper, we elaborate on the therapeutic items that we have designed to improve... 

    Global analysis of a delay SVEIR epidemiological model

    , Article Iranian Journal of Science and Technology, Transaction A: Science ; Volume 37, Issue A4 , 2013 , Pages 483-489 ; 10286276 (ISSN) Farajzadeh Tehrani, N ; Razvan, M. R ; Yasaman, S ; Sharif University of Technology
    This paper is concerned with global analysis of a delay SVEIR epidemiological model in a population of varying size. By using Lyapunov stability method and LaSalle's invariance principle for delay systems, we prove that when there is no endemic equilibrium, the disease free equilibrium is globally asymptotically stable, otherwise the endemic equilibrium is globally stable  

    The regulated market for kidneys in Iran

    , Article Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, 22 August 2011 through 23 August 2011 ; Volume 80 LNICST , August , 2012 , Pages 62-75 ; 18678211 (ISSN) ; 9783642309120 (ISBN) Fatemi, F ; Sharif University of Technology
    We study the kidney market in Iran. The most effective treatment for end-stage renal disease is a kidney transplant. While the supply of cadaveric kidneys is limited, the debate has been focused on the effects of the existence of a free market for human organs. Economists as well as medical and legal researchers are divided over the issue. Iran has a unique kidney market which has been in place for over 20 years, frequently reporting surprising success in reducing the waiting list for kidneys. This paper demonstrates how the Iranian system works  

    Synchronizability of EEG-based functional networks in early alzheimer's disease

    , Article IEEE Transactions on Neural Systems and Rehabilitation Engineering ; Volume 20, Issue 5 , 2012 , Pages 636-641 ; 15344320 (ISSN) Tahaei, M. S ; Jalili, M ; Knyazeva, M. G ; Sharif University of Technology
    IEEE  2012
    Recently graph theory and complex networks have been widely used as a mean to model functionality of the brain. Among different neuroimaging techniques available for constructing the brain functional networks, electroencephalography (EEG) with its high temporal resolution is a useful instrument of the analysis of functional interdependencies between different brain regions. Alzheimer's disease (AD) is a neurodegenerative disease, which leads to substantial cognitive decline, and eventually, dementia in aged people. To achieve a deeper insight into the behavior of functional cerebral networks in AD, here we study their synchronizability in 17 newly diagnosed AD patients compared to 17 healthy... 

    Global dynamics of a differential susceptibility model

    , Article International Journal of Biomathematics ; Volume 5, Issue 5 , September , 2012 ; 17935245 (ISSN) Razvan, M. R ; Yasaman, S ; Sharif University of Technology
    An SIS epidemiological model in a population of varying size with two dissimilar groups of susceptible individuals has been analyzed. We prove that all the solutions tend to the equilibria of the system. Then we use the Poincaré Index theorem to determine the number of the rest points and their stability properties. It has been shown that bistability occurs for suitable values of the involved parameters. We use the perturbations of the pitchfork bifurcation points to give examples of all possible dynamics of the system. Some numerical examples of bistability and hysteresis behavior of the system has been also provided  

    Diagnosis of coronary artery disease using data mining techniques based on symptoms and ECG features

    , Article European Journal of Scientific Research ; Volume 82, Issue 4 , Aug , 2012 , Pages 542-553 ; 1450216X (ISSN) Alizadehsani, R ; Habibi, J ; Hosseini, M. J ; Boghrati, R ; Ghandeharioun, A ; Bahadorian, B ; Sani, Z. A ; Sharif University of Technology
    EuroJournals, Inc  2012
    The most common heart disease is Coronary artery disease (CAD). CAD is one of the main causes of heart attacks and deaths across the globe. Early diagnosis of this disease is therefore, of great importance. A large number of methods have thus far been devised for diagnosing CAD. Most of these techniques have been conducted on the basis of the Irvine dataset (University of California), which not only has a limited number of features but is also full of missing values and thus lacks reliability. The present study was designed to seek a new set, free from missing values, comprising features such as the functional class, dyspnea, Q wave, ST elevation, ST depression, and T inversion. Information... 

    Discriminating early stage AD patients from healthy controls using synchronization analysis of EEG

    , Article 2011 6th International Conference on Digital Information Management, ICDIM 2011 ; 2011 , Pages 282-287 ; 9781457715389 (ISBN) Jalili, M ; Sharif University of Technology
    In this paper we study how the meso-scale and micro-scale electroencephalography (EEG) synchronization measures can be used for discriminating patients suffering from Alzheimer's disease (AD) from normal control subjects. To this end, two synchronization measures, namely power spectral density and multivariate phase synchronization, are considered and the topography of the changes in patients vs. Controls is shown. The AD patients showed increased power spectral density in the frontal area in theta band and widespread decrease in the higher frequency bands. It was also characterized with decreased multivariate phase synchronization in the left fronto-temporal and medial regions, which was... 

    A clinical decision support system based on support vector machine and binary particle swarm optimisation for cardiovascular disease diagnosis

    , Article International Journal of Data Mining and Bioinformatics ; Volume 15, Issue 4 , 2016 , Pages 312-327 ; 17485673 (ISSN) Sali, R ; Shavandi, H ; Sadeghi, M ; Sharif University of Technology
    Inderscience Enterprises Ltd  2016
    Cardiovascular diseases have been known as one of the main reasons of mortality all around the world. Nevertheless, this disease is preventable if it can be diagnosed in an early stage. Therefore, it is crucial to develop Clinical Decision Support Systems (CDSSs) that are able to help physicians diagnose the disease and its related risks. This study focuses on cardiovascular disease diagnosis in an Iranian community by developing a CDSS, based on Support Vector Machine (SVM) combined with Binary Particle Swarm Optimisation (BPSO). We used SVM as the classifier and benefited enormously from optimisation capabilities of BPSO in model development as well as feature selection. Finally,... 

    Nanotechnology in diagnosis and treatment of coronary artery disease

    , Article Nanomedicine ; Volume 11, Issue 5 , 2016 , Pages 513-530 ; 17435889 (ISSN) Karimi, M ; Zare, H ; Bakhshian Nik, A ; Yazdani, N ; Hamrang, M ; Mohamed, E ; Sahandi Zangabad, P ; Moosavi Basri, S. M ; Bakhtiari, L ; Hamblin, M. R ; Sharif University of Technology
    Future Medicine Ltd 
    Nanotechnology could provide a new complementary approach to treat coronary artery disease (CAD) which is now one of the biggest killers in the Western world. The course of events, which leads to atherosclerosis and CAD, involves many biological factors and cellular disease processes which may be mitigated by therapeutic methods enhanced by nanotechnology. Nanoparticles can provide a variety of delivery systems for cargoes such as drugs and genes that can address many problems within the arteries. In order to improve the performance of current stents, nanotechnology provides different nanomaterial coatings, in addition to controlled-release nanocarriers, to prevent in-stent restenosis....