Publications by authors named "Seyed Mahdi Mousavi"

Resilience in a hospital is referred to as the capability to withstand and respond to disasters while maintaining critical functions. The current study aims to identify and prioritize the defining indicators of organizational resilience in dealing with the critical conditions of the COVID-19 pandemic. First, a literature review and semi-structured interviews with experts were performed for the identification of the primary indicators affecting the hospital's organizational resilience in critical conditions caused by the COVID-19 disease.

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Introduction: Needlestick injuries (NSIs) are a major hazard in the workplace for healthcare workers. To prevent these injuries, it is essential to determine the important factors affecting the occurrence of them. This study aimed to identify, classify and prioritize these factors using techniques of Delphi and fuzzy analytical hierarchy process (FAHP).

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Introduction: Turnover intention among nurses has risen in an alarming rate since the onset of the pandemic. There are various underlying factors to turnover intention. The present study aims to determine the effect of a number of mental factors on nurses' professional-turnover intention through two modulators of stress and resilience over COVID-19 period.

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Hydrogen is emerging as an alternative clean fuel; however, its dependency on freshwater will be a threat to a sustainable environment. Seawater, an unlimited source, can be an alternative, but its salt-rich nature causes corrosion and introduces several competing reactions, hindering its use. To overcome these, a unique catalyst composed of porous sheets of nitrogen-doped NiMo P (N-NiMo P) having a sheet size of several microns is designed.

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Most studies have examined the effect of the physical aspects of noise while the effect of exposure to psychoacoustic parameters at different task difficulty levels has been less evaluated. Therefore, this study was performed with the aim of investigating the brainwave in the face of psychoacoustic and the change of difficulty level of task. 120 persons were exposed to 16 psychoacoustic parameters (loudness, sharpness, roughness and fluctuation strength).

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Surface-enhanced Raman spectroscopy (SERS) has been identified as a fundamental surface-sensitive technique that boosts Raman scattering by adsorbing target molecules on specific surfaces. The application of SERS highly relies on the development of smart SERS substrates, and thus the fabrication of SERS substrates has been constantly improved. Herein, we investigate the impacts of different substrates on SERS technology including plasmonic metal nanoparticles, semiconductors, and hybrid systems in quantitative food safety and quality analysis.

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Background: The association between ulnar styloid fracture and distal radius fracture is common while the necessity of ulnar styloid fixation is still controversial. We have aimed to elucidate the effect of ulnar styloid fracture fixation on final outcome of distal radius fracture treatment.

Methods: In a two-arm randomized clinical trial, patients with Fernandez type I distal radius fracture associated with ulnar styloid fracture in the base were divided into two groups of fixed (group A) and unfixed (group B) ulnar styloid fracture.

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Given the importance of maintaining the mental health of workers, the present study was conducted to determine the effect of the individual factors on hypochondriasis and job stress under the corona epidemic condition in a company. This cross-sectional study was performed on 275 workers in 2020 in one of the industries in southern Iran. To gather the data, demographic, researcher-made, standard hypochondria, and job stress questionnaires were sent electronically along with a guide and study objectives.

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The prevalence of contagious viral-infectious diseases such as COVID19 cause the economic problems in addition to harmful effect on the people health. The present study was aimed to determine the contribution of hypochondria resulting from Corona virus on the occupational productivity loss through increased job stress and decreased resilience in the central workshop of an oil refinery. This cross-sectional study was conducted on 275 subjects in the spring of 2020 in one of the oil and gas industries in southern Iran.

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The present study aimed to investigate the effect of tonal noise and task difficulty on electroencephalography (EEG) and cognitive performance. Twelve healthy volunteers participated in the present study. Four noise signals were generated by four prominence tone levels (0, 2, 5 and 9) at background noise levels of 55 dBA and frequency of 500 Hz using the Test Tone Generator from Esser Audio (USA).

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Aims And Objective: In this work, the performance of a sodalite membrane reactor (MR) in the conversion of methanol to olefins (MTO process) was evaluated for ethylene and propylene production with in situ steam removal using 3-dimensional CFD (computational fluid dynamic) technique.

Methods: Numerical simulation was performed using the commercial CFD package COMSOL Multiphysics 5.3.

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In the present study, two statistical methods including the response surface method (RSM) and artificial neural network (ANN), were employed for modeling and optimization of selective catalytic reduction of NOx with NH (NH-SCR) over VO/TiO nanocatalysts. The relationship between catalyst preparation variables, such as metal loading, impregnation temperature, and calcination temperature on NO conversion were investigated. The R value of 0.

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The selective catalytic reduction of NO with ammonia (NH-SCR) was studied over Cu-ZSM-5 nanocatalysts which were prepared by several methods, including conventional ion-exchange (IE), conventional impregnation (IM), ultrasound-enhanced impregnation (UIM), and conventional deposition-precipitation (DP) using NaOH and homogeneous deposition-precipitation (HDP) using urea. The nanocatalysts were subsequently characterized by Fourier transform infrared spectroscopy, temperature-programmed reduction with hydrogen (H-TPR), ammonia temperature-programmed desorption (NH-TPD), X-ray photoelectron spectroscopy, X-ray diffraction, transmission electron microscope, and Brunauer-Emmett-Teller. The catalytic activity of the Cu-ZSM-5 nanocatalysts for NO removal decreased in the following order: Cu-ZSM-5 (HDP) > Cu-ZSM-5 (UIM) > Cu-ZSM-5 (IM) > Cu-ZSM-5 (IE) > Cu-ZSM-5 (DP).

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Background: A considerable number of patients infected with HIV also have mental health problems. Individual psychotherapy is an effective way to treat these issues. Lack of social acceptance is a barrier to patients receiving proper medication and emotional/psychological support.

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The influence of the various preparation methods of Cu-SAPO-34 nanocatalysts on the selective catalytic reduction of NO with NH3 under excess oxygen was studied. Cu-SAPO-34 nanocatalysts were prepared by using four techniques: conventional impregnation (IM), ultrasound-enhanced impregnation (UIM), conventional deposition precipitation (DP) using NaOH and homogeneous deposition precipitation (HDP) using urea. These catalysts were characterized in detail by various techniques such as N2-sorption, XRD, TEM, H2-TPR, NH3-TPD and XPS to understand the catalyst structure, the nature and the dispersed state of the copper species, and the acid sites for NH3 adsorption.

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Introduction: Lumbar discectomy constitutes the most common and probably easiest spine surgery but it is not without complications. The aim of this work is to report a case with total ureteral avulsion during lumbar discectomy due to careless advancement of the pituitary rongeur.

Methods: A 59-year-old male presented with refractory left L5-S1 lumbar disc herniation.

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In this study, the effects of operation variables on catalytic performance of CeO2-MnOx (0.25)-Ba mixed oxide in catalytic reduction of NO with ammonia are investigated by using design of experiments. A response surface methodology (RSM) combined with the central composite design (CCD) is used to model and optimize the process variables, including concentration of 02 (vol.

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Article Synopsis
  • A central composite design was used to optimize the preparation of Mn/active carbon nanocatalysts for the NH3-SCR of NO at 250°C, comparing results with predictions from an artificial neural network (ANN).
  • Key preparation parameters included metal loading, calcination temperature, and the degree of pre-oxidization, all of which significantly influenced catalyst efficiency, with optimal conditions identified for maximum NO conversion.
  • While both models showed good predictive accuracy, the ANN outperformed the response surface methodology, with lower mean square error and higher R2 values, demonstrating its effectiveness in capturing the system's nonlinear behavior.
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Preparation of Cu/Activated Carbon (Cu/AC) catalyst was optimized for low temperature selective catalytic reduction of NO by using response surface methodology. A central composite design (CCD) was used to investigate the effects of three independent variables, namely pre-oxidization degree (HNO3%), Cu loading (wt.%) and calcination temperature on NO conversion efficiency.

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Article Synopsis
  • Surgery serves as a significant palliative option for esophageal cancer patients, but it presents various moral challenges related to patient care and surgeon responsibilities.
  • Analyzing these challenges through normative ethics reveals the need for careful consideration of principles like beneficence, non-maleficence, justice, autonomy, and effective patient communication.
  • The research highlights that combining ethical principles with surgical expertise can enhance the quality of life for patients, emphasizing the importance of integrating these considerations into clinical practice, education, and research.
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