Loading...
Search for: depression
0.005 seconds
Total 22 records

    Modeling of Major Depression by Using Computational Intelligence

    , M.Sc. Thesis Sharif University of Technology Darvish, Setareh (Author) ; Seifipour, Navid (Supervisor)
    Abstract
    Mental disorders are very common nowadays and affect a person’s everyday life, as well as the lives of other people around him/her. According to the World Health Organization, major depressive disorder (MDD) is considered as the fourth main cause of death and premature weakness in the whole world. Information Technology (IT) could be used to diagnose the people who are affected by the mental disorders as well as reduce their effects. As clinical decision making inherently requires reasoning under uncertainty, fuzzy logic is a suitable technique for dealing with this partial evidence. The fuzzy logic is the science of reasoning; thinking and inference that recognizes and uses the real world... 

    Modeling of melatonin behavior in major depression: A fuzzy logic modeling

    , Article Applied Mechanics and Materials ; Volume 367 , June , 2013 , Pages 317-321 ; 16609336 (ISSN) ; 9783037857885 (ISBN) Azizi, A ; Osgouie, K. G ; Rashidnejhad, S ; Cheragh, M ; Sharif University of Technology
    2013
    Abstract
    According to the world health organization, major depressive disorder (MDD) is considered as the fourth main cause of death and premature weakness in the whole world. Abnormality in the hormones and neurotransmitters level is the one of the main factors which may result in this disorder. In this article melatonin is chosen among these hormones, which is the most implicated to control sleep and depression. Because the measurement of melatonin is crucial important, the fuzzy logic approach as the mathematical method is utilized to making melatonin behavior model. In this paper, two effective factors on melatonin are modeled by fuzzy logic. This model is only a part of our project which is... 

    Deep feature extraction of single-cell transcriptomes by generative adversarial network

    , Article Bioinformatics ; Volume 37, Issue 10 , 2021 , Pages 1345-1351 ; 13674803 (ISSN) Bahrami, M ; Maitra, M ; Nagy, C ; Turecki, G ; Rabiee, H. R ; Li, Y ; Sharif University of Technology
    Oxford University Press  2021
    Abstract
    Motivation: Single-cell RNA-sequencing (scRNA-seq) offers the opportunity to dissect heterogeneous cellular compositions and interrogate the cell-type-specific gene expression patterns across diverse conditions. However, batch effects such as laboratory conditions and individual-variability hinder their usage in cross-condition designs. Results: Here, we present a single-cell Generative Adversarial Network (scGAN) to simultaneously acquire patterns from raw data while minimizing the confounding effect driven by technical artifacts or other factors inherent to the data. Specifically, scGAN models the data likelihood of the raw scRNA-seq counts by projecting each cell onto a latent embedding.... 

    Apathy exacerbates postural control impairments in stroke survivors: The potential effects of cognitive dual-task for improving postural control

    , Article Neuropsychologia ; Volume 174 , 2022 ; 00283932 (ISSN) Dehmiyani, A ; Mehdizadeh, H ; Azad, A ; Cheraghifard, M ; Jamali, S ; Davoudi, M ; Shokouhyan, S. M ; Taghizadeh, G ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    Apathy is a stressor and debilitating common condition for both stroke survivors and their caregivers. However, its effects on the postural control of these patients have not yet been investigated. Improved postural stability through withdrawing attention from postural control by concurrent cognitive task (i.e. dual-task condition) has been reported previously, but the effect of apathy, as a confounding factor, remains unknown. This study aimed to examine the effects of apathy and dual-task condition on postural control of chronic stroke survivors from biomechanical and neurophysiological perspectives. Twenty non-apathetic stroke survivors, 20 apathetic stroke survivors, and 20 sex-, age-,... 

    Modifications in Commercial Diesel Engines to Perform Under Difficult Respiration Conditions

    , M.Sc. Thesis Sharif University of Technology Moussavi Torshizi, Abolfazl (Author) ; Durali, Mohammad (Supervisor)
    Abstract
    In this project we are about to adopt a method for implementing commercial diesel engines (truck and bus engines) in applications with difficult respiration condition like what happens in a submarine. To this end, working conditions of such engines are introduced and standard constraints are explained. Then the structure of already manufactured submarine engines is presented. At this point an engine from known manufacturers was selected for calculations to be performed on it. Since test and measurement equipments were not yet ready, simulation using computer software (GT-POWER v6.1) was selected as the solving method. First, the engine was modeled in its nominal working conditions. After... 

    Evaluation and Improvement of Functional Neural Networks based on Spiking Model Neurons

    , M.Sc. Thesis Sharif University of Technology Moradi, Shakiba (Author) ; Jahed, Mehran (Supervisor) ; Vahabi, Abdolhosein ($item.subfieldsMap.e)
    Abstract
    Neural modeling is a branch of cognitive science in which the behavior of the nervous system is described through a collection of mathematical relations. By using these models, it is possible to study certain features of the networks or predict brain responses to different stimuli. One of the important features in neural networks is the adaptation phenomena that occurs in different forms. All types of adaptation occur in presence of a constant stimuli through a set period of time. Adaptation causes a departure from the stable pattern of neural activities which makes the responses unpredictable. Hence, it is important to study the effects of adaptation on the network activities.This study... 

    An Investigation of Resting-State Eeg Biomarkers Derived from Graph of Brain Connectivity for Diagnosis of Depressive Disorder

    , M.Sc. Thesis Sharif University of Technology Arabpour, Mohammad Reza (Author) ; Hajipour, Sepideh (Supervisor)
    Abstract
    Among the most costly diseases that affect a person's quality of life throughout his or her life, mental disorders (excluding sleep disorders) affect up to 25 percent of people in any community. One of the most common types of these disorders in Iran is depressive disorder, which according to official statistics, 13% of Iranians have some symptoms of it. Until now, the diagnosis of this disease has been traditionally done in clinics with interviews and questionnaires tests based on behavioral psychology and using symptom assessment. Therefore, there is a relatively low accuracy in the treatment process. Nowadays, with the help of functional brain imaging such as electroencephalogram (EEG)... 

    Effect of utilizing a humanoid robot as a therapy-assistant in reducing anger, anxiety, and depression

    , Article 2014 2nd RSI/ISM International Conference on Robotics and Mechatronics, ICRoM 2014 ; 15- 17 October , 2014 , pp. 748-753 ; ISBN: 9781479967438 Alemi, M ; Meghdari, A ; Ghanbarzadeh, A ; Moghadam, L. J ; Ghanbarzadeh, A ; Sharif University of Technology
    Abstract
    Treatment of cancer involves many invasive procedures that could be a source of distress in kids suffering from cancer. Distress itself can be an important obstacle in patients' acceptance of treatment and their adaptation to it, consequently reducing its efficiency. Distress symptoms, in a spectrum from mild to critical, are shown to be widespread in children struggling with cancer. In recent years to alleviate this psychological condition, researchers have proposed and examined several methods such as relaxation, hypnosis, desensitization, and distraction. This study presents a new approach to explore the impact of utilizing a humanoid robot as a therapy-assistant in dealing with patients'... 

    Impact of a social humanoid robot as a therapy assistant in children cancer treatment

    , Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Volume 8755 , 2014 , Pages 11-22 ; ISSN: 03029743 ; ISBN: 9783319119724 Alemi, M ; Meghdari, A ; Ghanbarzadeh, A ; Moghadam, L. J ; Ghanbarzadeh, A ; Sharif University of Technology
    Abstract
    Treating cancer encompasses many invasive procedures that can be a source of distress in oncology patients. Distress itself can be a major obstruction in the path of acceptance of treatment and the patient's adaptation to it, thereby reducing its efficiency. These distress symptoms have been found to be prevalent in children suffering from cancer, in a spectrum from mild to critical. In the past years in response to this psychological suffering, researchers have proposed and tested several methods such as relaxation, hypnosis, desensitization, and distraction. This paper propounds a new approach by exploring the effect of utilizing a humanoid robot as a therapy-assistive tool in dealing with... 

    The effect of amino [60] fullerene derivatives on pour point and rheological properties of waxy crude oil

    , Article Journal of Molecular Liquids ; Volume 211 , November , 2015 , Pages 308-314 ; 01677322 (ISSN) Jafari Behbahani, T ; Miran Beigi, A. A ; Taheri, Z ; Ghanbari, B ; Sharif University of Technology
    Elsevier  2015
    Abstract
    Abstract In this work, two [60] fullerene derivatives were employed as flow improvers for waxy crude oil to reduce problems caused by the crystallization of paraffin during the production and/or transportation of the crude oil. These amine-based derivatives of [60] fullerene have been applied as wax inhibitor for improvement of rheological performance as well as pour point depressant in a waxy crude oil. Moreover, the influence of these [60] fullerene derivatives on the viscosity and pour point was also investigated in an Iranian waxy crude oil sample. The [60] fullerene derivatives were simply prepared by stirring a solution of [60] fullerene and two lipophilic amines. The results similarly... 

    Diagnosis of Depressive Disorder using Classification of Graphs Obtained from Electroencephalogram Signals

    , M.Sc. Thesis Sharif University of Technology Moradi, Amir (Author) ; Hajipour, Sepideh (Supervisor)
    Abstract
    Depression is a type of mental disorder that is characterized by the continuous occurrence of bad moods in the affected person. Studies by the World Health Organization (WHO) show that depression is the second disease that threatens human life, and eight hundred thousand people die due to suicide every year. In order to reduce the damage caused by depression, it is necessary to have an accurate method for diagnosing depression and its rapid treatment, in which electroencephalogram (EEG) signals are considered as one of the best methods for diagnosing depression. Until now, various researches have been conducted to diagnose depression using electroencephalogram signals, most of which were... 

    Effects of imperfection shapes on buckling of conical shells under compression

    , Article Structural Engineering and Mechanics ; Volume 60, Issue 3 , 2016 , Pages 365-386 ; 12254568 (ISSN) Shakouri, M ; Spagnoli, A ; Kouchakzadeh, M. A ; Sharif University of Technology
    Techno Press 
    Abstract
    This paper describes a systematic numerical investigation into the nonlinear elastic behavior of conical shells, with various types of initial imperfections, subject to a uniformly distributed axial compression. Three different patterns of imperfections, including first axisymmetric linear bifurcation mode, first non-axisymmetric linear bifurcation mode, and weld depression are studied using geometrically nonlinear finite element analysis. Effects of each imperfection shape and tapering angle on imperfection sensitivity curves are investigated and the lower bound curve is determined. Finally, an empirical lower bound relation is proposed for hand calculation in the buckling design of conical... 

    Fast isothermal solidification during transient liquid phase bonding of a nickel alloy using pure copper filler metal: solubility vs diffusivity

    , Article Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science ; Volume 50, Issue 5 , 2019 , Pages 2235-2245 ; 10735623 (ISSN) Ghasemi, A ; Pouranvari, M ; Sharif University of Technology
    Springer Boston  2019
    Abstract
    This investigation aims at understanding the underlying fundamentals of the isothermal solidification phenomenon during the transient liquid phase (TLP) bonding process. The isothermal solidification is governed by solid-state diffusion of the melting point depressant (MPD) into the base material, which, in turn, is controlled by both kinetic and thermodynamic parameters; however, the latter factor is generally ignored. In this work, the competition between kinetics and thermodynamics of diffusion were considered in TLP bonding of a nickel alloy, Monel 400, using two distinct filler metals including pure copper (Cu) and Ni-Si-B filler metal. The joint generated by Ni-Si-B filler metal... 

    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... 

    Brain Connectivity Analysis Using Multiple Partial Least Square on fMRI Signals

    , M.Sc. Thesis Sharif University of Technology Hosseini Naghavi, Nader (Author) ; Fatemizadeh, Emad (Supervisor)
    Abstract
    Nowadays studying the brain's function in different Mental States like Resting-State or performing cognitive tasks is a very important component of research areas such as Biomedical Engineering, Neuroscience and Cognitive Sciences. The applications of studying the brain's function can be divided into two principal groups. In the first group of applications, the goal is understanding how the brain processes and response to external stimuli (like visual or audio stimuli) and internal states (like emotions). In these kinds of applications, particularly healthy subjects participate since the goal of these studies is finding healthy brain function in different states and stimuli. However, in the... 

    Magnesium nanopowder for hydrogen absorption and ammonium perchlorate decomposition

    , Article Materials Letters ; Volume 85 , 2012 , Pages 128-131 ; 0167577X (ISSN) Fahimpour, V ; Sadrnezhaad, S. K ; Sharif University of Technology
    2012
    Abstract
    Magnesium nanopowder (MgNP) of 17 nm average size was produced by planetary ball milling of Mg (φ=229 μm) with 10 wt% NaCl (φ=406 μm) for 50 h. NaCl was omissible by dissolution in saturated KOH. Partial oxidation of MgNP occurred, however, in presence of KOH. MgNP-NaCl mixture was, therefore, used for transmission electron microscopy (TEM), scanning electron microscopy (SEM), x-ray diffraction (XRD), differential scanning calorimetry (DSC) and Sieverts equilibrium investigation. DSC analysis of ammonium perchlorate showed one endothermic and three exothermic reactions. MgNP did not noticeably affect on the initial endothermic reaction. But it decreased transformation temperatures of the... 

    Electrocardiographic ST-segment depression and exposure to traffic-related aerosols in elderly subjects with coronary artery disease

    , Article Environmental Health Perspectives ; Volume 119, Issue 2 , Feb , 2011 , Pages 196-202 ; 00916765 (ISSN) Delfino, R. J ; Gillen, D. L ; Tjoa, T ; Staimer, N ; Polidori, A ; Arhami, M ; Sioutas, C ; Longhurst, J ; Sharif University of Technology
    2011
    Abstract
    Background: Air pollutants have not been associated with ambulatory electrocardiographic evidence of ST-segment depression ≥ 1 mm (probable cardiac ischemia). We previously found that markers of primary (combustion-related) organic aerosols and gases were positively associated with circulating biomarkers of inflammation and ambulatory blood pressure in the present cohort panel study of elderly subjects with coronary artery disease. Objectives: We specifically aimed to evaluate whether exposure markers of primary organic aerosols and ultrafine particles were more strongly associated with ST-segment depression of ≥ 1 mm than were secondary organic aerosols or PM 2.5 (particulate matter with... 

    Effects of short term and long term Extremely Low Frequency Magnetic Field on depressive disorder in mice: Involvement of nitric oxide pathway

    , Article Life Sciences ; Volume 146 , 2016 , Pages 52-57 ; 00243205 (ISSN) Madjid Ansari, A ; Farzam Pour, S ; Sadr, A ; Shekarchi, B ; Majid Zadeh, A. K ; Sharif University of Technology
    Elsevier Inc 
    Abstract
    Aims Previous reports on the possible effects of Extremely Low Frequency Magnetic Fields (ELF MF) on mood have been paradoxical in different settings while no study has yet been conducted on animal behavior. In addition, it was shown that ELF MF exposure makes an increase in brain nitric oxide level. Therefore, in the current study, we aimed to assess the possible effect(s) of ELF MF exposure on mice Forced Swimming Test (FST) and evaluate the probable role of the increased level of nitric oxide in the observed behavior. Main methods Male adult mice NMRI were recruited to investigate the short term and long term ELF MF exposure (0.5 mT and 50 Hz, single 2 h and 2 weeks 2 h a day). Locomotor... 

    Wide gap brazing of inconel 738lc nickel-based superalloy: metallurgical and mechanical characteristics

    , Article Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science ; Volume 51, Issue 12 , 2020 , Pages 6283-6293 Alinaghian, H ; Farzadi, A ; Marashi, P ; Pouranvari, M ; Sharif University of Technology
    Springer  2020
    Abstract
    This paper addresses the microstructure properties relationship of wide gap brazed Inconel 738LC. Amdry 718 and a Ni-Cr-Fe-Si-B alloy were used as high melting particles (HMPs) and low melting particles (LMPs), respectively. The effect of the amount of LMPs, 30, 40, and 50 pct, on the microstructure and the shear strength of the joint, was investigated. The microstructure in the brazing zone consists of Ni-based solid solution and eutectic-type microconstituents that is nickel-rich and chromium-rich borides. Nickel-rich borides only observed in the presence of the high amount of LMPs, because of the low Cr-B ratio in the filler alloy. At the brazing/base metal interface, high diffusion of... 

    Discovering dominant pathways and signal-response relationships in signaling networks through nonparametric approaches

    , Article Genomics ; Volume 102, Issue 4 , October , 2013 , Pages 195-201 ; 08887543 (ISSN) Nassiri, I ; Masoudi Nejad, A ; Jalili, M ; Moeini, A ; Sharif University of Technology
    2013
    Abstract
    A signaling pathway is a sequence of proteins and passenger molecules that transmits information from the cell surface to target molecules. Understanding signal transduction process requires detailed description of the involved pathways. Several methods and tools resolved this problem by incorporating genomic and proteomic data. However, the difficulty of obtaining prior knowledge of complex signaling networks limited the applicability of these tools. In this study, based on the simulation of signal flow in signaling network, we introduce a method for determining dominant pathways and signal response to stimulations. The model uses topology-weighted transit compartment approach and comprises...