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A methodology for determining the optimal voxel size for phase thresholding in nanostructured materials was developed using an atom simulator and a model system of a fixed two-phase composition and volume fraction. The voxel size range was banded by the atom count within each voxel. Some voxel edge lengths were found to be too large, resulting in an averaging of compositional fluctuations; others were too small with concomitant decreases in the signal-to-noise ratio for phase identification. The simulated methodology was then applied to the more complex experimentally determined data set collected from a (Co(0.95)Fe(0.05))(88)Zr(6)Hf(1)B(4)Cu(1) two-phase nanocomposite alloy to validate the approach. In this alloy, Zr and Hf segregated to an intergranular amorphous phase while Fe preferentially segregated to a crystalline phase during the isothermal annealing step that promoted primary crystallization. The atom probe data analysis of the volume fraction was compared to transmission electron microscopy (TEM) dark-field imaging analysis and a lever rule analysis of the volume fraction within the amorphous and crystalline phases of the ribbon.
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http://dx.doi.org/10.1016/j.ultramic.2011.01.001 | DOI Listing |
Hum Brain Mapp
September 2025
Department of Neuropediatrics, General Pediatrics, Diabetology, Endocrinology, Social Pediatrics, University Children's Hospital, Tübingen, Germany.
Subject motion is a significant problem for the analysis of functional MRI data and is usually described by "total displacement" or "scan-to-scan displacement". Neither parameter, however, takes into account voxel size, which clearly is relevant for the actual effects of motion on the data. Consequently, it is hitherto impossible to compare motion between subjects/studies acquired using different voxel dimensions, precluding the development of generally applicable recommendations for fMRI quality control procedures.
View Article and Find Full Text PDFRep Pract Oncol Radiother
August 2025
Laboratory of Engineering in Chemistry and Physics of Matter (LICPM), Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Beni-Mellal, Morocco.
Background: This study investigates the impact of voxel size on dose calculations for the FlexiSource iridium-192 (Ir) high-dose-rate brachytherapy source using the TOol for PArticle Simulation (TOPAS) Monte Carlo code. It aims to establish a new dataset for future research by determining TG-43 parameters.
Materials And Methods: TG-43 parameters (radial function and anisotropy function) were calculated using 0.
Imaging Neurosci (Camb)
September 2025
Graduate School of Human and Environmental Studies, Kyoto University, Sakyo-ku, Kyoto, Japan.
Time perception is an essential aspect of daily life, and transitional probabilities can be learned based on temporal durations that are independent of individual objects. Previous studies on temporal and spatial visual statistical learning (VSL) have shown that the hippocampus and lateral occipital cortex are engaged in learning visual regularities. However, it remains unclear whether VSL on temporal duration unlinked to object identity is represented in brain regions involved in VSL and object recognition or in those involved in time perception without sensory cortex involvement.
View Article and Find Full Text PDFAlzheimers Res Ther
September 2025
Motor Control and Learning Group, Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, Leopold-Ruzicka-Weg 4, Zurich, 8093, Switzerland.
Introduction: Exergame-based training is emerging as the most effective exercise modality for improving cognition, yet its neural correlates remain largely unexplored. This study explored gray matter (GM) and white matter (WM) changes following the addition of ‘Brain-IT’ training to usual care in mild neurocognitive disorder (mNCD) and their associations with cognitive performance changes.
Methods: We included 41 participants with mNCD, randomized to either the intervention (‘Brain-IT’ training + usual care) or the control (usual care only) group.
J Adv Res
September 2025
State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology at Beijing, Beijing 100083, China. Electronic address:
Introduction: Accurate characterization of multi-size fractures in coal is crucial for estimating its transport properties. However, the extraction of narrow microfractures in 3D voxel-type CT images is difficult, which causes the loss of connectivity in the extracted fracture network and reduces the accuracy of the predicted transport properties.
Objectives: Improving the image quality and optimizing the segmentation process to deal with the inaccuracy of fracture extraction from coal CT images.