M
Mohamad Reza Bayatiani
Researcher at Arak University of Medical Sciences
Publications - 20
Citations - 42
Mohamad Reza Bayatiani is an academic researcher from Arak University of Medical Sciences. The author has contributed to research in topics: Dosimetry & Oxidative stress. The author has an hindex of 4, co-authored 18 publications receiving 32 citations. Previous affiliations of Mohamad Reza Bayatiani include Arak University.
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Determination of the effective atomic and mass numbers for mixture and compound materials in high energy photon interactions
TL;DR: In this paper, a pair equation in terms of these numbers is obtained, where the first equation is derived from the conservation of mass energy law and the second by minimizing the binding energy from the semiempirical mass formula.
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The Correlation between Cell Phone Use and Sleep Quality in Medical Students
TL;DR: Services provided by modern cell phones, along with the extensive use of these devices, could be considered as potential threats to public health, especially adolescents’ sleep quality.
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Investigating the Effect of Air Cavities of Sinuses on the Radiotherapy Dose Distribution Using Monte Carlo Method
TL;DR: The results indicate that a drop in dose before the air cavities and in the air zone occurs due to the lack of scattered radiation, and the rise in dose was due to to the passage of more radiation from the air cavity and dose deposition after theAir cavity.
Journal Article
Evaluation of Electron Contamination in Cancer Treatment with Megavoltage Photon Beams: Monte Carlo Study
TL;DR: The effect of electron contamination on patient surface dose cannot be ignored, so the knowledge of the electron contamination is important in clinical dosimetry.
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Influence of Electromagnetic Fields on Lead Toxicity: A Study of Conformational Changes in Human Blood Proteins
TL;DR: Lead contamination in the presence of an EMF exacerbates the oxidative damage to plasma proteins as well as the conformational changes in Hb, and an artificial neural network can be used as a predictive tool for the oxidative danger posed to workers in industrial fields, battery manufacturing companies, and power plants.