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    A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset

    , Article Biomedical Signal Processing and Control ; Volume 68 , 2021 ; 17468094 (ISSN) Rahimzadeh, M ; Attar, A ; Sakhaei, S. M ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    This paper aims to propose a high-speed and accurate fully-automated method to detect COVID-19 from the patient's chest CT scan images. We introduce a new dataset that contains 48,260 CT scan images from 282 normal persons and 15,589 images from 95 patients with COVID-19 infections. At the first stage, this system runs our proposed image processing algorithm that analyzes the view of the lung to discard those CT images that inside the lung is not properly visible in them. This action helps to reduce the processing time and false detections. At the next stage, we introduce a novel architecture for improving the classification accuracy of convolutional networks on images containing small... 

    Glypican-1 overexpression in different types of breast cancers

    , Article OncoTargets and Therapy ; Volume 14 , 2021 , Pages 4309-4318 ; 11786930 (ISSN) Alshammari, F. O. F. O ; Al Saraireh, Y. M ; Youssef, A. M. M ; Al Sarayra, Y. M ; Alrawashdeh, H. M ; Sharif University of Technology
    Dove Medical Press Ltd  2021
    Abstract
    Purpose: Treatment of metastatic breast cancer patients is challenging and remains a major underlying cause of female mortality. Understanding molecular alterations in tumor development is critical to identify novel biomarkers and targets for cancer diagnosis and therapy. One of the aberrant cancer expressions gaining recent research interest is glypican-1. Several studies reported strong glypican-1 expression in various types of human cancers. However, none of these investigated glypican-1 expression in a large cohort of breast cancer histopathological subtypes. Patients and Methods: Immunohistochemistry was used to assess glypican-1 expression in 220 breast cancer patients and its relation... 

    Effect of material and population on the delivery of nanoparticles to an atherosclerotic plaque: a patient-specific in silico study

    , Article Langmuir ; Volume 37, Issue 4 , 2021 , Pages 1551-1562 ; 07437463 (ISSN) Amani, A ; Shamloo, A ; Barzegar, S ; Forouzandehmehr, M ; Sharif University of Technology
    American Chemical Society  2021
    Abstract
    Coronary artery disease (CAD) is the prevalent reason of mortality all around the world. Targeting CAD, specifically atherosclerosis, with controlled delivery of micro and nanoparticles, as drug carriers, is a very proficient approach. In this work, a patient-specific and realistic model of an atherosclerotic plaque in the left anterior descending (LAD) artery was created by image-processing of CT-scan images and implementing a finite-element mesh. Next, a fluid-solid interaction simulation considering the physiological boundary conditions was conducted. By considering the simulated force fields and particle-particle interactions, the correlation between injected particles at each cardiac... 

    Behavior of olfactory-related frontal lobe oscillations in Alzheimer's disease and MCI: A pilot study

    , Article International Journal of Psychophysiology ; Volume 175 , 2022 , Pages 43-53 ; 01678760 (ISSN) Fatemi, S. N ; Aghajan, H ; Vahabi, Z ; Afzal, A ; Sedghizadeh, M. J ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    Slow-gamma (35-45 Hz) phase synchronization and the coupling between slow-gamma and low-frequency theta oscillations (4–8 Hz) are closely related to memory retrieval and cognitive functions. In this pilot study, we assess the Phase Amplitude Coupling (PAC) between theta and slow-gamma oscillatory bands and the quality of synchronization in slow-gamma oscillations using Phase Locking Value (PLV) on EEG data from healthy individuals and patients diagnosed with amnestic Mild Cognitive Impairment (aMCI) and Alzheimer's Disease (AD) during an oddball olfactory task. Our study indicates noticeable differences between the PLV and PAC values corresponding to olfactory stimulation in the three groups... 

    A full pipeline of diagnosis and prognosis the risk of chronic diseases using deep learning and Shapley values: The Ravansar county anthropometric cohort study

    , Article PLoS ONE ; Volume 17, Issue 1 January , 2022 ; 19326203 (ISSN) Jafari, H ; Shohaimi, S ; Salari, N ; Kiaei, A. A ; Najafi, F ; Khazaei, S ; Niaparast, M ; Abdollahi, A ; Mohammadi, M ; Sharif University of Technology
    Public Library of Science  2022
    Abstract
    Anthropometry is a Greek word that consists of the two words "Anthropo"meaning human species and "metery"meaning measurement. It is a science that deals with the size of the body including the dimensions of different parts, the field of motion and the strength of the muscles of the body. Specific individual dimensions such as heights, widths, depths, distances, environments and curvatures are usually measured. In this article, we investigate the anthropometric characteristics of patients with chronic diseases (diabetes, hypertension, cardiovascular disease, heart attacks and strokes) and find the factors affecting these diseases and the extent of the impact of each to make the necessary... 

    Margination and adhesion of micro- and nanoparticles in the coronary circulation: A step towards optimised drug carrier design

    , Article Biomechanics and Modeling in Mechanobiology ; Volume 17, Issue 1 , 2018 , Pages 205-221 ; 16177959 (ISSN) Forouzandehmehr, M ; Shamloo, A ; Sharif University of Technology
    Springer Verlag  2018
    Abstract
    Obstruction of left anterior descending artery (LAD) due to the thrombosis or atherosclerotic plaques is the leading cause of death worldwide. Targeted delivery of drugs through micro- and nanoparticles is a very promising approach for developing new strategies in clot-busting or treating restenosis. In this work, we modelled the blood flow characteristics in a patient-specific reconstructed LAD artery by the fluid–solid interaction method and based on physiological boundary conditions. Next, we provided a Lagrangian description of micro- and nanoparticles dynamics in the blood flow considering their Brownian motion and the particle–particle interactions. Our results state that the number of... 

    Review on alzheimer's disease: inhibition of amyloid beta and tau tangle formation

    , Article International Journal of Biological Macromolecules ; Volume 167 , 2021 , Pages 382-394 ; 01418130 (ISSN) Ashrafian, H ; Hadi Zadeh, E ; Hasan Khan, R ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    It is reported that approximately 40 million people are suffering from dementia, globally. Dementia is a group of symptoms that affect neurons and cause some mental disorders, such as losing memory. Alzheimer's disease (AD) which is known as the most common cause of dementia, is one of the top medical care concerns across the world. Although the exact sources of the disease are not understood, is it believed that aggregation of amyloid-beta (Aβ) outside of neuron cells and tau aggregation or neurofibrillary tangles (NFTs) formation inside the cell may play crucial roles. In this paper, we are going to review studies that targeted inhibition of amyloid plaque and tau protein tangle formation,... 

    Automatic segmentation, detection, and diagnosis of abdominal aortic aneurysm (AAA) using convolutional neural networks and hough circles algorithm

    , Article Cardiovascular Engineering and Technology ; Volume 10, Issue 3 , 2019 , Pages 490-499 ; 1869408X (ISSN) Mohammadi, S ; Mohammadi, M ; Dehlaghi, V ; Ahmadi, A ; Sharif University of Technology
    Springer New York LLC  2019
    Abstract
    Purpose: An abdominal aortic aneurysm (AAA) is known as a cardiovascular disease involving localized deformation (swelling or enlargement) of aorta occurring between the renal and iliac arteries. AAA would jeopardize patients’ lives due to its rupturing risk, so prompt recognition and diagnosis of this disorder is vital. Although computed tomography angiography (CTA) is the preferred imaging modality used by radiologist for diagnosing AAA, computed tomography (CT) images can be used too. In the recent decade, there has been several methods suggested by experts in order to find a precise automated way to diagnose AAA without human intervention base on CT and CTA images. Despite great... 

    The potential role of auditory prediction error in decompensated tinnitus: An auditory mismatch negativity study

    , Article Brain and Behavior ; Volume 9, Issue 4 , 2019 ; 21623279 (ISSN) Mohebbi, M ; Daneshi, A ; Asadpour, A ; Mohsen, S ; Farhadi, M ; Mahmoudian, S ; Sharif University of Technology
    John Wiley and Sons Ltd  2019
    Abstract
    Introduction: Some tinnitus subjects habituate to their tinnitus but some others do not and complain of its annoyance tremendously. Normal sensory memory and change detection processes are needed for detecting the tinnitus signal as a prediction error and habituation to tinnitus. The purpose of this study was to compare auditory mismatch negativity as the index of sensory memory and change detection among the studied groups to search for the factors involving in the perception of tinnitus and preventing habituation in decompensated tinnitus subjects. Methods: Electroencephalography was recorded from scalp electrodes in compensated tinnitus, decompensated tinnitus, and no tinnitus control... 

    The global, regional, and national burden of stomach cancer in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease study 2017

    , Article The Lancet Gastroenterology and Hepatology ; Volume 5, Issue 1 , 2020 , Pages 42-54 Etemadi, A ; Safiri, S ; Sepanlou, S. G ; Ikuta, K ; Bisignano, C ; Shakeri, R ; Amani, M ; Fitzmaurice, C ; Nixon, M.R ; Abbasi, N ; Abolhassani, H ; Advani, S. M ; Afarideh, M ; Akinyemiju, T ; Alam, T ; Alikhani, M ; Alipour, V ; Allen, C.A ; Almasi Hashiani, A ; Arabloo, J ; Assadi, R ; Atique, S ; Awasthi, A ; Bakhtiari, A ; Behzadifar, M ; Berhe, K ; Bhala, N ; Bijani, A ; Bin Sayeed, M. S ; Bjørge, T ; Borzì, A. M ; Braithwaite, D ; Brenner, H ; Carreras, G ; Carvalho, F ; Castañeda Orjuela, C. A ; Castro, F ; Chu, D. T ; Costa, V. M ; Daryani, A ; Davitoiu, D. V ; Demoz, G. T ; Demis, A. B ; Denova Gutiérrez, E ; Dey, S ; Nasab, M. D ; Djalalinia, S ; Emamian, M. H ; Farahmand, M ; Fernandes, J. C ; Fischer, F ; Foroutan, M ; Gad, M. M ; Gallus, S ; Gebremeskel, G. G ; Gedefew, G.A ; Ghaseni-Kebria, F ; Gorini, G ; Hafezi-Nejad, N ; Haj-Mirzaian, A ; Haro, J. M ; Harvey, J. D ; Hasanzadeh, A ; Hashemian, M ; Hassen, H. Y ; Hay, S. I ; Hidru, H. D ; Hostiuc, M ; Househ, M ; Ilesanmi, O. S ; Ilic, M. D ; Innos, K ; Islami, F ; James, S. L ; Jenabi, E ; Kalhor, R ; Kamangar, F ; Kasaeian, A ; Kengne, A. P ; Khader, Y. S ; Khalilov, R ; Khan, E. A ; Khan, G ; Khayamzadeh, M ; Khazaee Pool, M ; Khazaei, S ; Khoja, A. T ; Shadmani, F. K ; Kim, Y. J ; Kocarnik, J. M ; Komaki, H ; Koyanagi, A ; Kumar, V ; Vecchia, C.L ; Lopez, A. D ; Lunevicius, R ; Manafi, N ; Manda, A. L ; Geta, B ; Meheretu, H ; Mengistu, G ; Miazgowski, B ; Mir, S. M ; Mohammad, K. A ; Mezerji, N. M. G ; Mohammadian, M ; Mohammadian Hafshejani, A ; Mohammadpourhodki, R ; Mohammed, S ; Mohebi, F ; Mokdad, A. H ; Monasta, L ; Moosazadeh, M ; Moossavi, M ; Moradi, G ; Moradpour, F ; Moradzadeh, R ; Velasquez, I. M ; Mosapour, A ; Naderi, M ; Naik, G ; Najafi, F ; Nahvijou, A ; Negoi, I ; Nikbakhsh, R ; Nojomi, M ; Olagunju, A. T ; Olagunju, T. O ; Oren, E ; Parsian, H ; Piccinelli, C ; Pourshams, A ; Poustchi, H ; Rabiee, N ; Radfar, A ; Rafiei, A ; Rahimi, M ; Rahmati, M ; Renzaho, A. M. N ; Rezaei, N ; Ribeiro, A. I ; Roshandel, G ; Saad, A. M ; Saadatagah, S ; Salimzadeh, H ; Samy, A. M ; Sanabria, J ; Milicevic, M. M. S ; Sarveazad, A ; Sawhney, M ; Shaahmadi, F ; Sekerija, M ; Shaikh, M. A ; Bmedsc, A. S ; Siddappa Malleshappa, S. K ; Singh, J. A ; Smarandache, C. G ; Soofi, M ; Tabuchi, T ; Tadesse, D. B. B ; Tapak, L ; Tesfay, B. E ; Traini, E ; Tran, B ; Tran, K. B ; Vacante, M ; Vahedian Azimi, A ; Veisani, Y ; Vosoughi, K ; Vujcic, I. S ; Westerman, R ; Wondmieneh, A. B ; Xu, R ; Yaya, S ; Yazdi Feyzabadi, V ; Yousefi, Z ; Yousefi, B ; Moghadam, T. Z ; Zaki, L ; Zamani, M ; Zamanian, M ; Zandian, H ; Zarghi, A ; Zhang, Z. J ; Naghavi, M ; Malekzadeh, R ; Sajadi, P ; GBD 2017 Stomach Cancer Collaborators ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Background: Stomach cancer is a major health problem in many countries. Understanding the current burden of stomach cancer and the differential trends across various locations is essential for formulating effective preventive strategies. We report on the incidence, mortality, and disability-adjusted life-years (DALYs) due to stomach cancer in 195 countries and territories from 21 regions between 1990 and 2017. Methods: Estimates from GBD 2017 were used to analyse the incidence, mortality, and DALYs due to stomach cancer at the global, regional, and national levels. The rates were standardised to the GBD world population and reported per 100 000 population as age-standardised incidence rates,... 

    The global, regional, and national burden of oesophageal cancer and its attributable risk factors in 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017

    , Article The Lancet Gastroenterology and Hepatology ; Volume 5, Issue 6 , June , 2020 , Pages 582-597 Kamangar, F ; Nasrollahzadeh, D ; Safiri, S ; Sepanlou, S. G ; Fitzmaurice, C ; Ikuta, K. S ; Bisignano, C ; Islami, F ; Roshandel, G ; Lim, S. S ; Abolhassani, H ; Abu Gharbieh, E ; Adedoyin, R. A ; Advani, S. M ; Ahmed, M. B ; Aichour, M. T. E ; Akinyemiju, T ; Akunna, C. J ; Alahdab, F ; Alipour, V ; Almasi Hashiani, A ; Almulhim, A. M ; Anber, N. H ; Ansari Moghaddam, A ; Arabloo, J ; Arab Zozani, M ; Awedew, A. F ; Badawi, A ; Berfield, K. S. S ; Berhe, K ; Bhattacharyya, K ; Biondi, A ; Bjørge, T ; Borzì, A. M ; Bosetti, C ; Carreras, G ; Carvalho, F ; Castro, C ; Chu, D. T ; Costa, V. M ; Dagnew, B ; Gela, J. D ; Daryani, A ; Demeke, F. M ; Demoz, G. T ; Dianatinasab, M ; Elbarazi, I ; Emamian, M. H ; Etemadi, A ; Faris, P. S ; Fernandes, E ; Filip, I ; Fischer, F ; Gad, M. M ; Gallus, S ; Gebre, A. K ; Gebrehiwot, T. T ; Gebremeskel, G. G ; Gebresillassie, B. M ; Ghasemi Kebria, F ; Ghashghaee, A ; Ghith, N ; Golechha, M ; Gorini, G ; Gupta, R ; Hafezi Nejad, N ; Haj Mirzaian, A ; Harvey, J. D ; Hashemian, M ; Hassen, H. Y ; Hay, S. I ; Henok, A ; Hoang, C. L ; Hosgood, H. D ; Househ, M ; Ilesanmi, O. S ; Ilic, M.D ; Irvani, S. S. N ; Jain, C ; James, S. L ; Jee, S. H ; Jha, R. P ; Joukar, F ; Kabir, A ; Kasaeian, A ; Kassaw, M. W ; Kaur, S ; Kengne, A. P ; Kerboua, E ; Khader, Y. S ; Khalilov, R ; Khan, E. A ; Khoja, A. T ; Kocarnik, J. M ; Komaki, H ; Kumar, V ; La Vecchia, C ; Lasrado, S ; Li, B ; Lopez, A. D ; Majeed, A ; Manafi, N ; Manda, A. L ; Mansour Ghanaei, F ; Mathur, M. R ; Mehta, V ; Mehta, D ; Mendoza, W ; Mithra, P ; Mohammad, K. A ; Mohammadian Hafshejani, A ; Mohammadpourhodki, R ; Mohammed, J. A ; Mohebi, F ; Mokdad, A. H ; Monasta, L ; Moosavi, D ; Moosazadeh, M ; Moradi, G ; Moradpour, F ; Moradzadeh, R ; Naik, G ; Negoi, I ; Nggada, H. A ; Nguyen, H. L. T ; Nikbakhsh, R ; Nixon, M. R ; Olagunju, A. T ; Olagunju, T. O ; Padubidri, J. R ; Pakshir, K ; Patel, S ; Pathak, M ; Pham, H. Q ; Pourshams, A ; Rabiee, N ; Rabiee, M ; Radfar, A ; Rafiei, A ; Ramezanzadeh, K ; Rath, G. K ; Rathi, P ; Rawaf, S ; Rawaf, D. L ; Rezaei, N ; Roro, E. M ; Saad, A. M ; Salimzadeh, H ; Samy, A. M ; Sartorius, B ; Sarveazad, A ; Sekerija, M ; Sha, F ; Shamsizadeh, M ; Sheikhbahaei, S ; Shirkoohi, R ; Malleshappa, S. K. S ; Singh, J. A ; Sinha, D. N ; Smarandache, C. G ; Soshnikov, S ; Suleria, H. A. R ; Tadesse, D. B ; Tesfay, B. E ; Thakur, B ; Traini, E ; Tran, K. B ; Tran, B. X ; Ullah, I ; Vacante, M ; Veisani, Y ; Vujcic, I. S ; Weldesamuel, G. T ; Xu, R ; Yazdi Feyzabadi, V ; Yuce, D ; Zadnik, V ; Zaidi, Z ; Zhang, Z. J ; Malekzadeh, R ; Naghavi, M ; GBD 2017 Oesophageal Cancer Collaborators ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Background Oesophageal cancer is a common and often fatal cancer that has two main histological subtypes: oesophageal squamous cell carcinoma and oesophageal adenocarcinoma. Updated statistics on the incidence and mortality of oesophageal cancer, and on the disability-adjusted life-years (DALYs) caused by the disease, can assist policy makers in allocating resources for prevention, treatment, and care of oesophageal cancer. We report the latest estimates of these statistics for 195 countries and territories between 1990 and 2017, by age, sex, and Socio-demographic Index (SDI), using data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD). Methods We used data... 

    Oncolytic newcastle disease virus delivered by mesenchymal stem cells-engineered system enhances the therapeutic effects altering tumor microenvironment

    , Article Virology Journal ; Volume 17, Issue 1 , 2020 Keshavarz, M ; Ebrahimzadeh, M. S ; Miri, S. M ; Dianat Moghadam, H ; Ghorbanhosseini, S. S ; Mohebbi, S. R ; Keyvani, H ; Ghaemi, A ; Sharif University of Technology
    BioMed Central Ltd  2020
    Abstract
    Background: Human papillomavirus (HPV)-associated malignancy remain a main cause of cancer in men and women. Cancer immunotherapy has represented great potential as a new promising cancer therapeutic approach. Here, we report Mesenchymal stem cells (MSCs) as a carrier for the delivery of oncolytic Newcastle disease virus (NDV) for the treatment of HPV-associated tumor. Methods: For this purpose, MSCs obtained from the bone marrow of C57BL mice, then cultured and characterized subsequently by the flow cytometry analysis for the presence of cell surface markers. In this study, we sought out to determine the impacts of MSCs loaded with oncolytic NDV on splenic T cell and cytokine immune... 

    Rhythmic air-puff into nasal cavity modulates activity across multiple brain areas: A non-invasive brain stimulation method to reduce ventilator-induced memory impairment

    , Article Respiratory Physiology and Neurobiology ; Volume 287 , 2021 ; 15699048 (ISSN) Ghazvineh, S ; Salimi, M ; Nazari, M ; Garousi, M ; Tabasi, F ; Dehdar, K ; Salimi, A ; Jamaati, H ; Mirnajafi Zadeh, J ; Arabzadeh, E ; Raoufy, M. R ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Mechanical ventilation (MV) can result in long-term brain impairments that are resistant to treatment. The mechanisms underlying MV-induced brain function impairment remain unclear. Since nasal airflow modulates brain activity, here we evaluated whether reinstating airflow during MV could influence the memory performance of rats after recovery. Rats were allocated into two study groups: one group received rhythmic air-puff into the nasal cavity during MV and a control group that underwent ventilation without air-puff. During MV, air-puffs induced time-locked event potentials in OB, mPFC and vHPC and significantly increased the oscillatory activity at the air-puff frequency. Furthermore, in... 

    Design of an effective piezoelectric microcantilever biosensor for rapid detection of COVID-19

    , Article Journal of Medical Engineering and Technology ; Volume 45, Issue 6 , 2021 , Pages 423-433 ; 03091902 (ISSN) Kabir, H ; Merati, M ; Abdekhodaie, M. J ; Sharif University of Technology
    Taylor and Francis Ltd  2021
    Abstract
    Acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also called COVID-19, is one of the most contagious viruses resulting in a progressive pandemic. Since specific antiviral treatments have not been developed yet and its fatal rate is almost high, early and fast detection is critical for controlling the outbreak. In this study, a piezoelectric microcantilever biosensor has been designed for detecting COVID-19 samples directly without requiring preparation steps. The biosensor acts as a transducer and is coated with the related antibody. When the SARS-CoV-2 antigens adsorbed on the microcantilever top surface through their spike proteins, a surface stress due to the mass change would be... 

    Clinical validation of a smartphone-based handheld ECG device: A validation study

    , Article Critical Pathways in Cardiology ; Volume 21, Issue 4 , 2022 , Pages 165-171 ; 1535282X (ISSN) Ahmadi-Renani, S ; Gharebaghi, M ; Kamalian, E ; Hajghassem, H ; Ghanbari, A ; Karimi, A ; Mansoury, B ; Dayari, M. S ; Khatmi Nemati, M ; Karimi, A ; Zarghami, M. H ; Vasheghani Farahani, A ; Sharif University of Technology
    Lippincott Williams and Wilkins  2022
    Abstract
    Background: Remote cardiac monitoring and screening have already become an integral telemedicine component. The wide usage of several different wireless electrocardiography (ECG) devices warrants a validation study on their accuracy and reliability. Methods: Totally, 300 inpatients with the Nabz Hooshmand-1 handheld ECG device and the GE MAC 1200 ECG system (as the reference) were studied to check the accuracy of the devices in 1 and 6-limb lead performance. Simultaneous 10-second resting ECGs were assessed for the most common ECG parameters in lead I. Afterward, 6-lead ECGs (limb leads), were performed immediately and studied for their morphologies. Results: Of the 300 patients, 297 had... 

    Asthma induces psychiatric impairments in association with default mode and salience networks alteration: A resting-state EEG study

    , Article Respiratory Physiology and Neurobiology ; Volume 300 , 2022 ; 15699048 (ISSN) Gholami Mahtaj, L ; Salimi, M ; Nazari, M ; Tabasi, F ; Bamdad, S ; Dehdar, K ; Mikaili, M ; Mahdaviani, S. A ; Salari, F ; Lookzadeh, S ; Jamaati, H ; Salimi, A ; Raoufy, M. R ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    Asthma is a chronic inflammatory disease associated with a high prevalence of psychiatric disorders. There are specific brain networks responsible for emotional processes, including two important networks associated with psychiatric problems: the default mode network (DMN), which is more active in the resting state, and the salience network (SN), which is structurally connected to DMN. Although previous studies suggested that neuro-phenotypes of asthma may be recognizable by the neural activity of brain circuits, an association between the brain's functional alterations and psychiatric impairments induced by asthma remains unknown. We aimed to assess DMN and SN activity and its association... 

    Simulation of Competitive Flow in the Coronary Arteries Bypass

    , M.Sc. Thesis Sharif University of Technology Azimi Nejad, Milad (Author) ; Firoozabadi, Bahar (Supervisor)
    Abstract
    Atherosclerosis is one of the most important factors for mortality and morbidity in the world. Coronary artery bypass graft (CABG) is applied for treatment of this disease which in this surgery, the patient vessels, such as internal thoracic artery and saphenous vein, are harvested and grafted to the coronary arteries. The graft success and its performance in short and long-term are depended on the much factors e.g. the severity of stenosis in the coronary artery. It should be noted that the low level of stenosis in the coronary artery causes the creation of undesirable phenomenon of competitive flow in the grafts after the surgery which this phenomenon has been reported as a cause of graft... 

    Design, Analysis, and Experimental Study of a Slave Robot for Minimally Invasive Beating Heart Surgery

    , Ph.D. Dissertation Sharif University of Technology Alamdar, Alireza (Author) ; Farahmand, Farzam (Supervisor)
    Abstract
    In this study, a practical approach for robotic beating heart surgery was proposed. This approach eliminates lateral movements of the heart and compensates for normal heart movement by using 1 DOF heart stabilizer and 1 DOF heart compensator simultaneously. It is a compromise between complete fixation of the heart, which damages the heart tissue, on one hand and complex and impractical compensation of the free heart movement on the other. One of the core components of the proposed system is the slave robot, which includes a 1 DOF compensator and a 4 DOF tool holder robot. Based on the selected laparoscopic tool, a modified agile-eye mechanism for activating the wrist was introduced,... 

    Effects of Temporal Correlations on Co-infection

    , M.Sc. Thesis Sharif University of Technology Sajjadi, Ebrahim (Author) ; Ejtehadi, Mohammad Reza (Supervisor) ; Ghanbarnejad, Fakhteh (Co-Supervisor)
    Abstract
    SIS and SIR are common models for describing and predicting the epidemics of the contagious diseases. But these models fail to predict patterns of spreading dynamics in the case of co-infective diseases, i.e. getting infected by one disease, alters the chance of getting infected by the other one. Coinfection has been studied in the mean field approximation and on complex networks with different topologies. Another study shows temporal correlations of the underlying transmission network, play role on co-infection dynamics.In this research we investigate the effects of various temporal correlation on epidemic order parameters of independent infection and co-infection.For this purpose, we... 

    The Development of a Postural Control Model for People with Parkinson’s disease to Predict Rehabilitation Exercises Effects

    , Ph.D. Dissertation Sharif University of Technology Rahmati, Zahra (Author) ; Behzadipour, Saeed (Supervisor) ; Firoozbakhsh, Keikhosrow (Supervisor) ; Taghizadeh, Ghorban (Co-Supervisor)
    Abstract
    Background: Parkinson’s disease (PD) patients seriously suffer from instability and impaired postural control. Rehabilitation exercises help them to recover their ability through long-term practical sessions. For designing optimal tasks in each session, and in agreement with each patient’s state, it is essential to employ computational models and approaches.Objective: The goal of this study is to develop a computational postural control model of Parkinson’s disease in order to provide new understanding of the postural control in PD, and to gain insight on the effect of balance trainings on PD (the learning dynamics), from the view of this model.Methods: In the first phase of this study, the...