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Samira Ansari, Morteza Rezapoor, Mohammad Amin Hematgar, Atiye Sadat Ghazi, Sakineh Varmazyar,
Volume 2, Issue 3 (6-2017)
Abstract

Background: Since students spend a lot of time in classrooms and in steady state, many of them may experience signs of musculoskeletal disorders. The aim of this study was to determine the prevalence of musculoskeletal disorders and its related risk factors among students.
Methods: This descriptive-analytical and cross-sectional study was conducted among 129 students of Qazvin University of Medical Sciences in 2016. In order to determine the prevalence of musculoskeletal disorders, Nordic questionnaire was used. The relationship between musculoskeletal disorders and risk factors was evaluated in SPSS20 software.
Results: The highest incidence of musculoskeletal discomfort (80%) was observed in the waist area. The neck (38.3%) and shoulder (35%) were the most prevalent at the next levels. Marital status, age, weight, educational level, job, exercise and stress were identified as risk factors affecting the musculoskeletal disorders in the students.
Conclusion: It is possible to reduce the prevalence of musculoskeletal disorders by the necessary trainings to declare the risk factors and their modifications to the students, considering appropriate time between the classes and the use of ergonomic equipment and furniture in the classes. With these actions also can prevent from stress and consequently can increase the concentration and learning power in this group.

 


Davoud Balarak , Hossein Ansari, Mahdethe Dashtizadeh, Maryam Bazi,
Volume 5, Issue 3 (9-2019)
Abstract

Background: Phenolic compounds are an important group of pollutants in industrial wastewater, which must be treated before disposal into water resources. The present study aimed to use synthesized graphene oxide (SGO) to remove bisphenol A (BPA) from aqueous solutions.
Methods: Graphene oxide was synthesized using Hummers' method, and BPA adsorption was assessed as a function of solution pH, contact time, adsorbent dosage, and initial BPA concentration using the batch method. Isotherms and kinetic evaluation of dye adsorption was performed using the equilibrium data.
Results: Adsorption was rapid and strongly dependent on pH and adsorbent dosage, reaching the peak at the pH of 7 and adsorbent dosage of 0.8 g/l. BPA removal efficiency at the initial concentration of 10 mg/l was 98.8 ± 0.62%. Analysis of the experimental isotherm data using the Langmuir-Freundlich and Temkin models indicated that the removal process followed the Langmuir isotherm, while the adsorption kinetics followed the pseudo-second-order kinetic model. The maximum adsorption capacity was calculated by Langmuir fitting and determined to be 58.12 ± 1.14 mg/g.
Conclusion: According to the results, SGO could be employed as an effective agent for the removal of BPA from aqueous solutions.


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