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Comprehensive evaluation of UV inactivation of using multiple gene targets and real-time quantitative PCR.
Water Res X
January 2025
Great Lakes Institute for Environmental Research, University of Windsor, Windsor ON N9B 3P4, Canada.
UV disinfection is extensively used for wastewater disinfection and disinfection efficiency is commonly monitored using culture-based enumeration of . While culture-independent real-time quantitative polymerase chain reaction (qPCR) based methods are attractive due to faster turnaround and easier application, previous attempts with qPCR to monitor disinfection have been unsuccessful. In this study, the effect of UV irradiation on a pure culture was examined in collimated beam (CB) experiments and monitored using both a culturing technique and DNA damage quantified using both short amplicon (SA; <∼200 bp) qPCR and longer amplicon (LA; ∼500-bp) qPCR.
View Article and Find Full Text PDFEffect of tin oxide particle size on epoxy resin to form new composites against gamma radiation.
Sci Rep
November 2024
Department of Physics, Faculty of Science, Isra University, Amman, Jordan.
The aim of the present study is to assess the shielding performance of a novel lead-free epoxide material against ionizing radiation. The effect of variation in particle size and concentration of tin oxide (SnO), which was added to epoxy resin polymer (ER), on its radiation shielding properties has been investigated in this research. Ten samples of ER samples incorporated with different concentrations (0%,20%,40%,60%) of SnO microparticles, nanoparticles, and both sizes combined were prepared and assessed.
View Article and Find Full Text PDFA deep learning-based dose calculation method for volumetric modulated arc therapy.
Radiat Oncol
October 2024
Department of Radiation Oncology, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 Panjiayuannanli Rd., Chaoyang Dist, Beijing, 100021, China.
Article Synopsis
- This study explores using deep learning to optimize dose calculations for volumetric modulated arc therapy (VMAT), improving speed and accuracy compared to traditional methods.
- A 3D UNet model was trained on various inputs (like CT images and fluence maps) to predict dose distributions, using real VMAT plans as a reference.
- Results showed strong agreement between the deep learning model's dose predictions and those calculated by the treatment planning system, with a high gamma pass rate and significantly faster computation times.
A new method to evaluate fluoroscopic system collimator performance.
J Appl Clin Med Phys
December 2024
Department of Radiology, Henry Ford Health, Detroit, Michigan, USA.
Article Synopsis
- Fluoroscopy systems use collimators to focus radiation, and these collimators are assessed annually to meet regulatory standards. A new method was developed to evaluate their performance effectively.* -
- The evaluation involved a setup using radiopaque rulers and radiochromic film strips to measure the radiation field against the displayed images across 79 different fluoroscopic systems.* -
- Results showed that some systems exceeded radiation limits, and this new method quickly and effectively provides a quantitative assessment that meets compliance requirements.*
A Monte Carlo study comparing dead-time losses of a gamma camera between tungsten functional paper and lead sheet for dosimetry in targeted radionuclide therapy with Lu-177.
Ann Nucl Med
October 2024
Functional Medical Imaging, Biomedical Imaging Sciences, Division of Advanced Information Health Sciences, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, 1-1-20 Daiko-Minami, Higashi-Ku, Nagoya, Aichi, Japan.
Objective: Dead-time loss is reported to be non-negligible for some patients with a high tumor burden in Lu-177 radionuclide therapy, even if the administered activity is 7.4 GBq. Hence, we proposed a simple method to shorten the apparent dead time and reduce dead-time loss using a thin lead sheet in previous work.
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