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    Disorders of the musculoskeletal system among Tehran, Iranian dentists

    , Article Journal of Musculoskeletal Pain ; Vol. 22, issue. 3 , 2014 , pp. 256-259 ; ISSN: 10582452 Shadmehr, A ; Haddad, O ; Azarnia, S ; Sanamlo, Z ; Sharif University of Technology
    Abstract
    Objectives: Although dental practitioners are confronted with a number of musculoskeletal disorders, relatively few studies have focused on this profession. The aim of this study was to investigate the prevalence of some musculoskeletal complaints of dentists in Iran. Methods: Four hundred and forty-six dentists in Tehran city, Iran were surveyed to determine the prevalence of musculoskeletal problems. We administrated a Persian-language version of the Nordic Questionnaire for this purpose. Results: Data gathered from Iranian dentists showed that most dentists [81%] reported pain in at least one joint. The most prevalent musculoskeletal disorders during the previous 12 months were reported... 

    Translation and validation of the Persian version of the Arthritis Impact Measurement Scales 2-Short Form (AIMS2-SF) in patients with rheumatoid arthritis

    , Article Clinical Rheumatology ; Volume 28, Issue 5 , 2009 , Pages 521-527 ; 07703198 (ISSN) Askary Ashtiani, A. R ; Mousavi, S. J ; Parnianpour, M ; Montazeri, A ; Sharif University of Technology
    2009
    Abstract
    Cultural adaptation and validation of the Persian version of the Arthritis Measurement Scales 2-Short Form (AIMS2-SF). The translation and cultural adaptation of the original questionnaire was carried out in accordance with published guidelines. Three hundred and fifty consecutive Persian-speaking patients with rheumatoid arthritis (RA) were asked to complete the AIMS2-SF, the Short Form Health Survey (SF-36), and four visual analog scales (VAS) for pain, joint stiffness, and patient's and physician's global assessment to test convergent validity. In addition, 90 randomly selected patients were asked to complete the questionnaire 48 h later for the second time. Moderate to high correlation... 

    A dual functional chondro-inductive chitosan thermogel with high shear modulus and sustained drug release for cartilage tissue engineering

    , Article International Journal of Biological Macromolecules ; Volume 205 , 2022 , Pages 638-650 ; 01418130 (ISSN) Dehghan Baniani, D ; Mehrjou, B ; Wang, D ; Bagheri, R ; Solouk, A ; Chu, P. K ; Wu, H ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    We report a chitosan-based nanocomposite thermogel with superior shear modulus resembling that of cartilage and dual pro-chondrogenic and anti-inflammatory functions. Two therapeutic agents, kartogenin (KGN) and diclofenac sodium (DS), are employed to promote chondrogenesis of stem cells and suppress inflammation, respectively. To extend the release time in a controlled manner, KGN is encapsulated in the uniform-sized starch microspheres and DS is loaded into the halloysite nanotubes. Both drug carriers are doped into the maleimide-modified chitosan hydrogel to produce a shear modulus of 167 ± 5 kPa that is comparable to that of articular cartilage (50–250 kPa). Owing to the hydrogel... 

    Phenomenological tissue fracture modeling for an Endoscopic Sinus and Skull Base Surgery training system based on experimental data

    , Article Medical Engineering and Physics ; Volume 68 , 2019 , Pages 85-93 ; 13504533 (ISSN) Sadeghnejad, S ; Farahmand, F ; Vossoughi, G ; Moradi, H ; Mousa Sadr Hosseini, S ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    The ideal simulator for Endoscopic Sinus and Skull Base Surgery (ESSS)training must be supported by a physical model and provide repetitive behavior in a controlled environment. Development of realistic tissue models is a key part of ESSS virtual reality (VR)-based surgical simulation. Considerable research has been conducted to address haptic or force feedback and propose a phenomenological tissue fracture model for sino-nasal tissue during surgical tool indentation. Mechanical properties of specific sino-nasal regions of the sheep head have been studied in various indentation and relaxation experiments. Tool insertion at different indentation rates into coronal orbital floor (COF)tissue is... 

    Multi-class segmentation of skin lesions via joint dictionary learning

    , Article Biomedical Signal Processing and Control ; Volume 68 , 2021 ; 17468094 (ISSN) Moradi, N ; Mahdavi Amiri, N ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    Melanoma is the deadliest type of human skin cancer. However, it is curable if diagnosed in an early stage. Recently, computer aided diagnosis (CAD) systems have drawn much interests. Segmentation is a crucial step of a CAD system. There are different types of skin lesions having high similarities in terms of color, shape, size and appearance. Most available works focus on a binary segmentation. Due to the huge variety of skin lesions and high similarities between different types of lesions, multi-class segmentation is still a challenging task. Here, we propose a method based on joint dictionary learning for multi-class segmentation of dermoscopic images. The key idea is based on combining...