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Gallium nitride (GaN) is of technological importance for a wide variety of optoelectronic applications. Defects in GaN, like inversion domain boundaries (IDBs), significantly affect the electrical and optical properties of the material. We report, here, on the structural configurations of planar inversion domain boundaries inside n-doped GaN wires measured by Bragg coherent X-ray diffraction imaging. Different complex domain configurations are revealed along the wires with a 9 nm in-plane spatial resolution. We demonstrate that the IDBs change their direction of propagation along the wires, promoting Ga-terminated domains and stabilizing into {11̅00}, that is, -planes. The atomic phase shift between the Ga- and N-terminated domains was extracted using phase-retrieval algorithms, revealing an evolution of the out-of-plane displacement (∼5 pm, at maximum) between inversion domains along the wires. This work provides an accurate inner view of planar defects inside small crystals.
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http://dx.doi.org/10.1021/acsnano.0c03775 | DOI Listing |
J Neuroimaging
September 2025
Postgraduate Program in Neurology, Universidade Federal Fluminense, Niterói, Brazil.
Background And Purpose: Cognitive impairment is common and disabling in multiple sclerosis (MS), yet poorly explained by lesion burden. This study aimed to determine whether the indirect impact of lesions, quantified through disconnectomes, explains multidomain cognitive deficits more effectively than lesion load, and to identify specific white matter tracts underlying these deficits.
Methods: Thirty adults with MS completed the Brief International Cognitive Assessment for MS, covering processing speed (Symbol Digit Modalities Test; SDMT), verbal memory (California Verbal Learning Test-II; CVLT-II), and visuospatial memory (Brief Visuospatial Memory Test-Revised; BVMT-R).
IEEE Trans Med Imaging
September 2025
Retinal image segmentation is essential for analyzing retinal structures like vessels and diagnosing retinopathy. However, the inherent intricacy of the retina, along with annotation scarcity and data heterogeneity, presents prevalent challenges in creating accurate and generalizable deep learning models. Diffusion models, while initially developed for image generation, have recently shown great promise for visual perception by leveraging the learned internal representations.
View Article and Find Full Text PDFNat Struct Mol Biol
September 2025
Division of Gene Regulation, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Lamina-associated domains (LADs) are megabase-sized genomic regions that interact with the nuclear lamina (NL). It is not yet understood how their interactions with the NL are encoded in their DNA. Here we designed an efficient LAD 'scrambling' approach, based on transposon-mediated local hopping of loxP recombination sites, to generate series of large deletions and inversions that span LADs and flanking sequences.
View Article and Find Full Text PDFIEEE Open J Ultrason Ferroelectr Freq Control
May 2025
Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY 14642 USA.
For ring-array ultrasound tomography, two-dimensional frequency-domain full waveform inversion is the clinical gold standard for high-resolution imaging of the breast. While yielding high-resolution images in the plane of the ring-array, the resulting slice-wise approach yields lower resolution out of plane when used to reconstruct the full volume. Instead, this work proposes a fully three-dimensional full-waveform inversion based on a multi-row ring-array transducer to improve out-of-plane resolution, while using cylindrical-wave transmissions to minimize acquisition and reconstruction time.
View Article and Find Full Text PDFNat Commun
August 2025
Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore.
Non-volatile content addressable memories (NV-CAMs) accelerate memory augmented neural networks (MANNs) for brain-like efficient learning from a few examples or even one example. However, most existing NV-CAMs operate in current domain, posing challenges in reliable, low-power, and sensing-friendly Hamming distance (HD) computation. To address these challenges, this work proposes transferring the computation to charge domain using ferroelectric capacitive memory (FCM).
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