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Ali Rezaei,Ali Loghmani,Sayyed Mahdi Hejazi,Aminollah Mohammadi 한국섬유공학회 2023 Fibers and polymers Vol.24 No.12
In recent years, there has been a growing interest in the application of ultrasonic cleaning techniques to textiles. However, the impact of textile properties on the cleaning performance has not been studied yet. This paper addresses this gap by systematically investigating the influence of different factors including fabric type, dirt type, and ultrasonic frequency, on the cleaning efficacy of textiles. To this end, four distinct fabric types, characterized by variations in texture, fiber material, and area density, were selected for experimentation. Additionally, two distinct dirt types, derived from chocolate milk and a carbon black-paraffin mixture, were introduced to assess their specific effects on ultrasonic cleaning. To analyze the impact of ultrasonic frequency, two transducers operating at frequencies of 19.5 Hz and 32.5 Hz were designed and fabricated. The quality of cleaning on the fabric samples, stained with the aforementioned dirt types, was evaluated using a full factorial experimental design. Measurement of washing quality was carried out employing a spectrophotometer. The findings of this investigation reveal that an increase in frequency is associated with a reduction in cleaning performance. Furthermore, the type of fabric texture directly influences the extent to which dirt stains are removed from the fabric. The choice of fiber material plays a crucial role in determining the textile's hydrophilic or hydrophobic characteristics, which, in turn, significantly impacts the bonding between textile yarn and various types of dirt. Consequently, the overall cleaning efficiency of the textile is affected by these interrelated factors.
Effect of Financial Performance on Earnings Management in the Drug Distribution Industry
Ali Shirzad,Shaban Mohammadi,Ryhaneh Haghighi 한국유통과학회 2015 The Journal of Industrial Distribution & Business( Vol.6 No.4
Purpose To mislead shareholders – about a firm’s actual economic performance, managers frequently manage dividends. Earnings management also affects performance reviews. Managers attempt to manage reported earnings caused by current economic events to accurately reflect their current performance. Research design, data, and methodology – The sample consisted of 312 company-years from companies in the pharmaceutical distribution industry listed on the Tehran Stock Exchange. A study period from 2004 to 2014 was selected. In this study, a model for measuring the performance of the net profits to total assets of a division of Jones was used to measure earnings management. Results – This study found a negative correlation between corporate performance and earnings management. Conclusions – The results for the earnings management company indicated a significant inverse relationship. Therefore, the company’s performance weakened as its earnings management activity increased. In other words, the results showed that the company’s performance-based accruals earnings management, the actual management of profits, and the general level of earnings management had significant inverse relationships. Thus, as the company’s profits declined, earnings management activity increased.
Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches
Ali Khaleghi,Mohammad Reza Mohammadi,Kian Shahi,Ali Motie Nasrabadi 대한정신약물학회 2022 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.20 No.1
Translating progress in neuroscience into clinical benefits for patients with psychiatric disorders is challenging because it involves the brain as the most complex organ and its interaction with a complex environment and condition. Dealing with such complexity requires powerful techniques. Computational neuroscience approach to psychiatry integrates multiple levels and types of simulation, analysis and computation according to the different types of computational models to enhance comprehending, prediction and treatment of psychiatric disorder. This approach comprises two approaches: theory-driven and data-driven. In this review, we focus on recent advances in theory-driven approaches that mathematically and mechanistically examine the relationships between disorder-related changes and behavior at different level of brain organization. We discuss recent progresses in computational neuroscience models that relate to psychiatry and show how principles of neural computational modeling can be employed to explain psychopathology.
Identification, in silico characterization, and expression analysis of Tenebrio molitor Cecropin‐2
Ali Mohammadie Kojour Maryam,Jang Ho Am,Edosa Tariku Tesfaye,Keshavarz Maryam,Kim Bo Bae,Bae Young Min,Patnaik Bharat Bhusan,Han Yeon Soo,Jo Yong Hun 한국곤충학회 2021 Entomological Research Vol.51 No.2
Antimicrobial peptides (AMPs) are considered to be candidate effectors for eliciting humoral immune responses against infectious pathogens in the host. Cecropins are α‐ helical peptides of 30–40 amino acids, which are known to permeabilize bacterial membranes, and play authoritative roles in the innate immune system of insects. In the present study, we identified the full‐length open reading frame (ORF) encoding the Tenebrio molitor cecropin‐2 (TmCec2) gene using the Tribolium castaneum cecropin‐2 (TcCec2) gene to query a T. molitor Rnaseq database. Phylogenetic analysis revealed close identity of TmCec2 with TcCec2. TmCec2 was ubiquitously expressed in the insect during all developmental stages, with the highest expression observed in the adult. Tissue‐specific TmCec2 expression was highest in larval hemocytes and in the adult integument and hemocytes. Microbial challenge experiments revealed that TmCec2 was highly induced in response to gram‐positive and gram‐negative bacteria, and fungi. These data provide credible evidence for a putative role of TmCec2 in insect innate immunity against a plethora of pathogens.
An overview of insect innate immunity
Ali Mohammadie Kojour Maryam,Han Yeon Soo,Jo Yong Hun 한국곤충학회 2020 Entomological Research Vol.50 No.6
Due to the exposure of insects to various sources of pathogens during different stages of their life cycle and their vulnerability towards subsequent infections, moreover lack of morality issues, economical breeding and short-term-life cycle, insect’s immunity has been considered as a high-potential candidate to study underlying mechanisms of defense responses against all sort of invaders, as well as pandemic diseases. Currently, the world is enduring monumental pressure to meet global food production demands. One viable option would be to mass rear edible insects, such as coleopteran meal worm Tenebrio molitor, which is thought to be a substantial protein source. In addition, using antimicrobial peptides as an alternative for antibiotic source against multidrug-resistant pathogens, makes insects a valuable option to solve this health issue. As a consequence, sufficient knowledge of insect immunity will lead us to reach advanced diagnostic and treatment technologies. To accomplish these goals, crucial importance of identification and functional characterization of the main signaling pathways, such as Toll and immune deficiency (IMD), prompted us to review the mechanisms of the signaling pathways involved in immune response in well-known insect models.
Naeemy, Ali,Gholam-Shahbazi, Rozhina,Mohammadi, Ali The Korean Electrochemical Society 2017 Journal of electrochemical science and technology Vol.8 No.4
A new modified carbon paste electrode (CPE) was constructed based on nickel oxide nanoparticles (NiONPs) and graphene nanosheets (Gr) for simultaneous determination of paracetamol (PCM) and mefenamic acid (MFA) in aqueous media and pharmaceutical dosage forms. NiONPs were synthesized via a simple and inexpensive technique and characterized using X-ray diffraction method. Scanning electron microscopy was used for the characterization of the morphology of modified carbon paste electrode (NiONPs/Gr/CPE). Voltammetric studies suggest that the NiONPs and Gr provide a synergistic augmentation that can increase current responses by improvement of electron transfers of these compounds on the NiONPs/Gr/CPE surface. Using cyclic voltammetry, the NiONPs/Gr/CPE showed good sensitivity and selectivity for the determination of PCM and MFA in individually or mixture standard samples in the linear range of $0.1-30{\mu}g\;mL^{-1}$. The resulted limit of detection and limit of quantification were 20 and $60ng\;mL^{-1}$ for PCM, 24 and $72ng\;mL^{-1}$ for MFA, respectively. The analytical performance of the NiONPs/Gr/CPE was evaluated for the determination of PCM and MFA in pharmaceutical dosage forms with satisfactory results.