scispace - formally typeset
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.

Papers
More filters
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.