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    New Approuches to Logical Paradoxes

    , M.Sc. Thesis Sharif University of Technology Siavashi, Ehsan (Author) ; Ardeshir, Mohammad (Supervisor) ; Lajevardi, Kaave (Supervisor)
    Abstract
    This dissertation consists of five parts. In the fist part we draw a scheme of Logical Paradoxes: What is a paradox, what are logical paradoxes, different versions of logical paradoxes, etc. The three next parts are respectively about: Tarski’s Hierarchy Approach, Kripke’s Fixed Point Theory and Herzberger and Gupta’s Revision Theory of Truth. In the end of each of these three parts, we consider some critics. In the last part, we introduce our new approach. This is based on a new concept called Pseudo-Contradiction. Relative to a (consistent) set S of axioms, a sentence φ is a Pseudo-contradiction if and only if both φ and ¬φ are inconsistent with S. We try to show the Liar sentence can be... 

    Investigation and Management of the Risk of Musculoskeletal Injury in Workers of Irankhodro Assembly Line by Using Qualitative and Quantitative Tools in Occupational Biomechanics

    , M.Sc. Thesis Sharif University of Technology Lajevardi, Ali (Author) ; Arjmand, Navid (Supervisor)
    Abstract
    According to epidemiological studies, low back pain is the most prevalent musculoskeletal disease thus indicating the important role of biomechanical engineers to manage risk of injury. Different quantitative (i.e., biomechanical models) and qualitative (empirical) assessment tools are used to evaluate risk of musculoskeletal injuries. The present study uses various quantitative and qualitative risk assessment tools to investigate the risk of injury among workers in Iran Khodro Automaker company (IKCO) assembly hall No. 3 (Pars Peugeot car assembly). Moreover, different engineering and administrative interventions are suggested to manage risk of musculoskeletal injuries when needed. The... 

    A semantic-based correlation approach for detecting hybrid and low-level APTs

    , Article Future Generation Computer Systems ; Volume 96 , 2019 , Pages 64-88 ; 0167739X (ISSN) Lajevardi, A. M ; Amini, M ; Sharif University of Technology
    Elsevier B.V  2019
    Abstract
    Sophisticated and targeted malwares, which today are known as Advanced Persistent Threats (APTs), use multi-step, distributed, hybrid and low-level patterns to leak and exfiltrate information, manipulate data, or prevent progression of a program or mission. Since current intrusion detection systems (IDSs) and alert correlation systems do not correlate low-level operating system events with network events and use alert correlation instead of event correlation, the intruders use low and hybrid events in order to distribute the attack vector, hide malwares behaviors, and therefore make detection difficult for such detection systems. In this paper, a new approach for detecting hybrid and... 

    Big knowledge-based semantic correlation for detecting slow and low-level advanced persistent threats

    , Article Journal of Big Data ; Volume 8, Issue 1 , 2021 ; 21961115 (ISSN) Lajevardi, A. M ; Amini, M ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2021
    Abstract
    Targeted cyber attacks, which today are known as Advanced Persistent Threats (APTs), use low and slow patterns to bypass intrusion detection and alert correlation systems. Since most of the attack detection approaches use a short time-window, the slow APTs abuse this weakness to escape from the detection systems. In these situations, the intruders increase the time of attacks and move as slowly as possible by some tricks such as using sleeper and wake up functions and make detection difficult for such detection systems. In addition, low APTs use trusted subjects or agents to conceal any footprint and abnormalities in the victim system by some tricks such as code injection and stealing... 

    Ontology-based Advanced Persistent Attacks Detection

    , Ph.D. Dissertation Sharif University of Technology Mohammadzadeh Lajevardi, Amir (Author) ; Amini, Morteza (Supervisor)
    Abstract
    Advanced Persistent Threats (APTs), use hybrid, slow, and low-level patterns to leak and exfiltrate information, manipulate data, or prevent progression of a program or mission. Since current intrusion detection systems (IDSs) and alert correlation systems do not correlate low-level operating system events with network events and use alert correlation instead of event correlation, the intruders use low and hybrid events in order to make detection difficult for such detection systems. In addition, these attacks use low and slow patterns to bypass intrusion detection and alert correlation systems. Since most of the attack detection approaches use a short time-window, the slow APTs abuse this... 

    Multifaceted service identification: Process, requirement and data

    , Article Computer Science and Information Systems ; Volume 13, Issue 2 , 2016 , Pages 335-358 ; 18200214 (ISSN) Amiri, M. J ; Parsa, S ; Mohammadzade Lajevardi, A ; Sharif University of Technology
    ComSIS Consortium  2016
    Abstract
    Service Identification is one of the most important phases in serviceoriented development methodologies. Although several service identification methods tried to identify services automatically or semi-automatically, various aspects of business domain are not taken into account simultaneously. To overcome this issue, three strategies from three different aspects of business domain are combined for semi-automated identification of services in this article. At first, the tasks interconnections within the business processes are considered. Then, based on the common supporting requirements, another tasks dependency has been determined and finally, regarding the significant impact of data in... 

    Markhor: malware detection using fuzzy similarity of system call dependency sequences

    , Article Journal of Computer Virology and Hacking Techniques ; 2021 ; 22638733 (ISSN) Lajevardi, A. M ; Parsa, S ; Amiri, M. J ; Sharif University of Technology
    Springer-Verlag Italia s.r.l  2021
    Abstract
    Static malware detection approaches are time-consuming and cannot deal with code obfuscation techniques. Dynamic malware detection approaches, on the other hand, address these two challenges, however, suffer from behavioral ambiguity, such as the system calls obfuscation. In this paper, we introduce Markhor, a dynamic and behavior-based malware detection approach. Markhor uses system call data dependency and system call control dependency sequences to create a weighted list of malicious patterns. The list is then used to determine the malicious processes. Next, the similarity of a file system call sequences to a malicious pattern is extracted based on a fuzzy algorithm and the file nature is... 

    Markhor: malware detection using fuzzy similarity of system call dependency sequences

    , Article Journal of Computer Virology and Hacking Techniques ; Volume 18, Issue 2 , 2022 , Pages 81-90 ; 22638733 (ISSN) Mohammadzade Lajevardi, A ; Parsa, S ; Amiri, M. J ; Sharif University of Technology
    Springer-Verlag Italia s.r.l  2022
    Abstract
    Static malware detection approaches are time-consuming and cannot deal with code obfuscation techniques. Dynamic malware detection approaches, on the other hand, address these two challenges, however, suffer from behavioral ambiguity, such as the system calls obfuscation. In this paper, we introduce Markhor, a dynamic and behavior-based malware detection approach. Markhor uses system call data dependency and system call control dependency sequences to create a weighted list of malicious patterns. The list is then used to determine the malicious processes. Next, the similarity of a file system call sequences to a malicious pattern is extracted based on a fuzzy algorithm and the file nature is... 

    prediction of time to failure in stress corrosion cracking of 304 stainless steel in aqueous chloride solution by artificial neural network

    , Article Protection of Metals and Physical Chemistry of Surfaces ; Volume 45, Issue 5 , 2009 , Pages 610-615 ; 20702051 (ISSN) Lajevardi, S. A ; Shahrabi, T ; Baigi, V ; Shafiei, A. M ; Sharif University of Technology
    2009
    Abstract
    Despite the numerous researches in Stress Corrosion Cracking (SCC) risk of austenitic stainless steels in aqueous chloride solution, no formulation or reliable method for prediction of time to failure as a result of SCC has yet been defined. In this paper, the capability of artificial neural network for estimation of the time to failure for SCC of 304 stainless steel in aqueous chloride solution together with sensitivity analysis has been expressed. The output results showed that artificial neural network can predict the time to failure for about 74% of the variance of SCC experimental data. Furthermore, the sensitivity analysis also demonstrated the effects of input parameters (Temperature,... 

    Preparation, physicochemical properties, in vitro evaluation and release behavior of cephalexin-loaded niosomes

    , Article International Journal of Pharmaceutics ; Volume 569 , 2019 ; 03785173 (ISSN) Ghafelehbashi, R ; Akbarzadeh, I ; Tavakkoli Yaraki, M ; Lajevardi, A ; Fatemizadeh, M ; Heidarpoor Saremi, L ; Sharif University of Technology
    Elsevier B.V  2019
    Abstract
    In this study, optimized cephalexin-loaded niosomal formulations based on span 60 and tween 60 were prepared as a promising drug carrier system. The niosomal formulations were characterized using a series of techniques such as scanning electron microscopy, Fourier transformed infrared spectroscopy, dynamic light scattering, and zeta potential measurement. The size and drug encapsulation efficiency are determined by the type and composition of surfactant. The developed niosomal formulations showed great storage stability up to 30 days with low change in size and drug entrapment during the storage, making them potential candidates for real applications. Moreover, the prepared niosomes showed... 

    Optimized doxycycline-loaded niosomal formulation for treatment of infection-associated prostate cancer: An in-vitro investigation

    , Article Journal of Drug Delivery Science and Technology ; Volume 57 , 2020 Akbarzadeh, I ; Tavakkoli Yaraki, M ; Bourbour, M ; Noorbazargan, H ; Lajevardi, A ; Sadat Shilsar, S. M ; Heidari, F ; Mousavian, S. M ; Sharif University of Technology
    Editions de Sante  2020
    Abstract
    Developing drug delivery systems with both antibacterial and anti-cancer effects is of importance in the treatment process of infection-associated cancers, especially prostate cancer. In this study, Span 60, Tween 60, and cholesterol were used to formulate doxycycline-loaded niosomes as a promising drug carrier system as either antibacterial or anticancer formulation. The formulation process was optimized by multi-objective response surface methodology (RSM), and then characterized. The developed niosomal formulation showed great storage stability for up to 2 weeks. In addition, they showed remarkable drug release in acidic solution (pH = 3) compared with physiological pH (7.4). The in-vitro... 

    Association between human leukocyte antigens and cutaneous adverse drug reactions to antiepileptics and antibiotics in the Iranian population

    , Article Dermatologic Therapy ; Volume 35, Issue 5 , 2022 ; 13960296 (ISSN) Mortazavi, H ; Rostami, A ; Firooz, A ; Esmaili, N ; Ghiasi, M ; Lajevardi, V ; Amirzargar, A. A ; Sheykhi, I ; Khamesipour, A ; Akhdar, M ; Sharif University of Technology
    John Wiley and Sons Inc  2022
    Abstract
    In this case–control study, class І and ІІ human leukocyte antigen (HLA) alleles in Iranian patients with benign and severe cutaneous adverse drug reactions (CADRs) due to aromatic anticonvulsants and antibiotics were evaluated. Patients diagnosed with CADRs (based on clinical and laboratory findings) with a Naranjo score of ≥ 4 underwent blood sampling and HLA-DNA typing. The control group comprised 90 healthy Iranian adults. Alleles with a frequency of more than two were reported. Deviations from Hardy–Weinberg equilibrium were not observed. Eighty patients with CADRs including 54 females and 26 males with a mean age of 41.49 ± 16.08 years were enrolled in this study. The culprit drugs... 

    Recent advances in porphyrin-based nanocomposites for effective targeted imaging and therapy

    , Article Biomaterials ; Volume 232 , 2020 Rabiee, N ; Tavakkoli Yaraki, M ; Mokhtari Garakani, S ; Mokhtari Garakani, S ; Ahmadi, S ; Lajevardi, A ; Bagherzadeh, M ; Rabiee, M ; Tayebi, L ; Tahriri, M ; Hamblin, M. R ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Porphyrins are organic compounds that continue to attract much theoretical interest, and have been called the “pigments of life”. They have a wide role in photodynamic and sonodynamic therapy, along with uses in magnetic resonance, fluorescence and photoacoustic imaging. There is a vast range of porphyrins that have been isolated or designed, but few of them have real clinical applications. Due to the hydrophobic properties of porphyrins, and their tendency to aggregate by stacking of the planar molecules they are difficult to work with in aqueous media. Therefore encapsulating them in nanoparticles (NPs) or attachment to various delivery vehicles have been used to improve delivery...