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This paper presents a model of total ionizing dose (TID) effects on the generation of Si/SiO[Formula: see text] interface traps in MOS devices, and their density of states across the energy band in a non-uniform manner. The model incorporates the DCIV technique to determine the density of states of interface traps and accounts for quantum tunneling (QT) and thermal emission (TE) effects, which reduce the concentration of protons near the interface, thereby improving the proposed model accuracy. Additionally, considering the trap-assisted tunneling (TAT) mechanism enhances the model's precision at higher radiation doses. The model achieves an R[Formula: see text] of 0.9993, with an N-RMSE of 0.0095 and an N-MAE of 0.0085, compared to measurements obtained from the IRF620 transistor under irradiation with TID up to 7.8 Mrad (SiO[Formula: see text]) by a Cobalt-60 source. It exhibits 80.86% and 79.58% in the improvement of RMSE and MAE, respectively, compared to a state-of-the-art models.
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http://dx.doi.org/10.1038/s41598-025-01325-3 | DOI Listing |
J Med Imaging Radiat Sci
September 2025
Sefako Makgatho University, Pretoria, Department of Medical Physics, South Africa. Electronic address:
Introduction: Diagnostic reference levels (DRLs) are essential for optimising ionising radiation use in medical imaging and minimising patient exposure. Radiographers play a key role in implementing DRLs to ensure dose optimisation and high-quality imaging. However, gaps in awareness and understanding can hinder effective application.
View Article and Find Full Text PDFBackground: Although radiation workers' exposure levels consistently remained below established safety thresholds, accumulating evidence demonstrates that chronic low-dose ionizing radiation exposure may still pose significant health risks to humans. We aimed to explore the relationship between the years of low-dose radiation work and dyslipidemia.
Methods: We collected occupational and physical examination data of 10,338 radiation workers from 1,200 workplaces during 2019-2020 in Guangdong Province, China.
Appl Radiat Isot
September 2025
Departamento de Física da Universidade Federal de Sergipe (DFI - UFS), Brazil; Programa de Pós-Graduação em Física, Universidade Federal de Sergipe (PPGFI - UFS), Brazil.
Angiography systems offer three dose rate modes (low, normal, and high) for performing fluoroscopy-guided interventional (FGI) procedures, with each mode corresponding to a specific set of parameters. Although the choice of mode should depend on the patient's biotype, such systems are typically shipped from the factory configured to start examinations in normal mode as the default. To reduce both the need for operator intervention during FGI procedures and the exposure of patients to ionizing radiation, we tested a change to the internal setup of an angiography machine in this study, in which the low-dose-rate mode was automatically selected as the default prior to starting a procedure.
View Article and Find Full Text PDFPediatrics
September 2025
Department of Radiology, Boston Children's Hospital, Boston, Massachusetts.
Background: Although limiting ionizing radiation exposure is a core tenet of pediatric medical imaging, inequities in ionizing radiation exposure may exist for children with complex chronic conditions (CCCs). Our objective was to compare the likelihood of ionizing radiation exposure in children with and without CCCs.
Methods: Retrospective analysis of emergency department and inpatient encounters for children aged younger than 18 years (January 1, 2022, to December 31, 2023) in 47 children's hospitals in the Pediatric Health Information System (PHIS) database.
Sci Rep
August 2025
Institute for Clinical and Experimental Surgery, Saarland University, PharmaScienceHub (PSH), 66421, Homburg, Germany.
Radiotherapy, while effective in cancer treatment, can lead to side effects, such as radiodermatitis with potential long-term consequences including telangiectasias, ulceration and fibrosis of the skin, eventually resulting in impaired wound healing. In this study, we analyzed whether the healing of such challenging wounds can be improved by nanofat (NF). NF is generated by mechanical emulsification and filtration of fat samples and, thus, is a random mixture of adipose-derived stem cells, microvascular fragments, extracellular matrix components and growth factors.
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