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    Scaffold Design and Fabrication for Retinal Tissue Engineering

    , M.Sc. Thesis Sharif University of Technology Abdi, Romina (Author) ; Mashayekhan, Shohreh (Supervisor)
    Abstract
    The retina, a photosensitive area in the central nervous system, is delicate and intricate. It is susceptible to degenerative disorders such as age-related macular degeneration (AMD), retinitis pigmentosa (RP), Stargardt disease (SD), and glaucoma. These diseases can lead to severe vision loss and ultimately irreversible blindness by causing destruction or dysfunction of different types of retinal cells. Unfortunately, there are no proven treatment strategies to cure or reverse these degenerative disorders. However, cell transplantation therapies may be an alternative to replace distorted cells and improve an individual's vision. Recent clinical outcomes show that transplanted cells in the... 

    Low back pain and postural sway during quiet standing with and without sensory manipulation: A systematic review

    , Article Gait and Posture ; Volume 37, Issue 1 , 2013 , Pages 12-22 ; 09666362 (ISSN) Mazaheri, M ; Coenen, P ; Parnianpour, M ; Kiers, H ; van Dieen, J. H ; Sharif University of Technology
    2013
    Abstract
    A previous review concluded that postural sway is increased in patients with low back pain (LBP). However, more detailed analysis of the literature shows that postural deficit may be dependent on experimental conditions in which patients with LBP have been assessed. The research question to be answered in this review was: " Is there any difference in postural sway between subjects with and without LBP across several sensory manipulation conditions?" A literature search in Pubmed, Scopus, Embase and PsychInfo was performed followed by hand search and contact with authors. Studies investigating postural sway during bipedal stance without applying external forces in patients with specific and... 

    Decoding olfactory stimuli in EEG data using nonlinear features: A pilot study

    , Article Journal of Neuroscience Methods ; Volume 341 , 2020 Ezzatdoost, K ; Hojjati, H ; Aghajan, H ; Sharif University of Technology
    Elsevier B.V  2020
    Abstract
    Background: While decoding visual and auditory stimuli using recorded EEG signals has enjoyed significant attention in the past decades, decoding olfactory sensory input from EEG data remains a novelty. Recent interest in the brain's mechanisms of processing olfactory stimuli partly stems from the association of the olfactory system and its deficit with neurodegenerative diseases. New Methods: An olfactory stimulus decoder using features that represent nonlinear behavior content in the recorded EEG data has been introduced for classifying 4 olfactory stimuli in 5 healthy male subjects. Results: We show that by using nonlinear and chaotic features, a subject-specific classifier can be...