The present communication describes the technical aspects of the first application of an imaging plate for visualization of (90)Sr deposited in human teeth. The teeth were obtained from Techa River area residents who were exposed as a result of releases of radioactivity into the Techa River by the first Soviet nuclear plant Mayak in the early 1950s. The investigations form the basis for an experimental procedure for accurate mapping of the distribution of (90)Sr in teeth with an imaging plate. This new method can be used as an individual indicator of radionuclide intake. Its advantages are its high sensitivity (0.02 Bq/g mm(-2) of (90)Sr), it ability to examine small detectable cross-sectional areas of dental tissue (dentin) contaminated with (90)Sr (from 0.01 mm(2)), the nondestructive method of analysis, and the simplicity of use. The combined application of this method with EPR tooth biodosimetry can provide more accurate dose reconstruction and may lead to more effective radiation risk assessment.
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http://dx.doi.org/10.1667/0033-7587(2002)157[0341:mtdosi]2.0.co;2 | DOI Listing |
Evol J Linn Soc
December 2024
Biology Department, University of Massachusetts Amherst, Amherst, MA, 01002, United States.
Adaptive radiation, whereby a clade pairs rapid speciation with rapid phenotypic evolution, can result in an uneven distribution of biodiversity across the Metazoan tree. The cichlid fishes of East Africa have undergone multiple adaptive radiations within the major rift lakes. Cichlid radiations are marked by divergence across distinct habitat gradients producing many morphological and behavioural adaptations.
View Article and Find Full Text PDFFront Neurol
December 2024
Department of Neurology, Headache Outpatient Clinic, Medical University of Innsbruck, Innsbruck, Austria.
Background: There is evidence that iron metabolism may play a role in the underlying pathophysiological mechanism of migraine. Studies using (=1/ ) relaxometry, a common MRI-based iron mapping technique, have reported increased values in various brain structures of migraineurs, indicating iron accumulation compared to healthy controls.
Purpose: To investigate whether there are short-term changes in during a migraine attack.
ACS Omega
December 2024
Advanced Materials Research Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, U.K.
This study presents the development and characterization of high yttrium-content phosphate-based glass-ceramic microspheres for potential applications in bone cancer radiotherapy treatment. The microspheres produced via flame spheroidization, followed by sieving, revealed a lack of aggregation and a narrow size distribution (45-125 μm) achieved across different yttrium oxide to glass ratio samples. Energy dispersive X-ray (EDX) analysis showed a significant increase in yttrium content within the microspheres with increasing yttrium oxide to glass ratio samples, ranging from approximately 1-39 mol % for 10Y-50Y microspheres, respectively.
View Article and Find Full Text PDFKnee
January 2025
Department of Orthopedics and Traumatology Surgery, Ankara Bilkent City Hospital, Ankara, Turkey.
Background: The aim of this study was to assess whether there are any differences in plantar pressure distribution and gait cycle between patients with the same implant design and patients with different designs in staged bilateral TKA and to examine the impact of these differences on clinical and functional outcomes.
Methods: A retrospective review was conducted of all patients who underwent staged bilateral TKA. The patients were divided into two groups based on the prosthesis design used in both knees.
Water Res
December 2024
School of Environment, Tsinghua University, 100084, Beijing, PR China.
Leak detection is crucial for ensuring the safety of water systems and conserving water resources. However, current research on machine learning methods for leak detection focuses excessively on model development while neglecting model interpretability, which leads to transparency and credibility issues in practical applications. This study proposes the multi-channel convolution neural network (MCNN) model and compares the performance of the MCNN model with the existing benchmark algorithm (i.
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