Publications by authors named "Dongmin Son"
Article Synopsis
- The tree shrew (Tupaia belangeri) is being studied for its similarities to primates, particularly to understand DNA methylation and X chromosome inactivation (XCI) in their brains, using novel genome-wide methylation and transcriptomic data from their prefrontal cortex.
- The study found that female tree shrews exhibit global hypomethylation of the X chromosome compared to males, but this hypomethylation does not directly cause X chromosome gene silencing or sex-specific gene expression, although it affects the Xist gene's regulation.
- Overall, the research provides new insights into DNA methylation patterns in tree shrews and suggests that genomic CpG content may influence sex-differential
Article Synopsis
- The study presents detailed genomes of six ape species, achieving high accuracy and complete sequencing of all their chromosomes.
- It addresses complex genomic regions, leading to enhanced understanding of evolutionary relationships among these species.
- The findings will serve as a crucial resource for future research on human evolution and our closest ape relatives.
The tree shrew () is a promising emerging model organism in biomedical studies, notably due to their evolutionary proximity to primates. To enhance our understanding of how DNA methylation is implicated in regulation of gene expression and the X chromosome inactivation (XCI) in tree shrew brains, here we present their first genome-wide, single-base-resolution methylomes integrated with transcriptomes from prefrontal cortices. We discovered both divergent and conserved features of tree shrew DNA methylation compared to that of other mammals.
View Article and Find Full Text PDFTone Image Classification and Weighted Learning for Visible and NIR Image Fusion.
Entropy (Basel)
October 2022
In this paper, to improve the slow processing speed of the rule-based visible and NIR (near-infrared) image synthesis method, we present a fast image fusion method using DenseFuse, one of the CNN (convolutional neural network)-based image synthesis methods. The proposed method applies a raster scan algorithm to secure visible and NIR datasets for effective learning and presents a dataset classification method using luminance and variance. Additionally, in this paper, a method for synthesizing a feature map in a fusion layer is presented and compared with the method for synthesizing a feature map in other fusion layers.
View Article and Find Full Text PDFArticle Synopsis
- Multilevel lumbar fusion with posterior pedicle screw fixation is a common surgery for adult spinal deformity, but there's limited research on how different fusion levels affect stability and complications.
- This study tested six fusion configurations using 3D models to evaluate biomechanical properties, including the risk of screw loosening and adjacent segment degeneration (ASD).
- Findings indicate that the T10-ilium configuration provides lower stress at the bone-screw interface, but poses a higher risk for screw failure and proximal ASD, aiding surgeons in patient education regarding these risks.
Mandibular fractures are the most common fractures in dentistry. Since diagnosing a mandibular fracture is difficult when only panoramic radiographic images are used, most doctors use cone beam computed tomography (CBCT) to identify the patient's fracture location. In this study, considering the diagnosis of mandibular fractures using the combined deep learning technique, YOLO and U-Net were used as auxiliary diagnostic methods to detect the location of mandibular fractures based on panoramic images without CBCT.
View Article and Find Full Text PDFMandibular fracture is one of the most frequent injuries in oral and maxillo-facial surgery. Radiologists diagnose mandibular fractures using panoramic radiography and cone-beam computed tomography (CBCT). Panoramic radiography is a conventional imaging modality, which is less complicated than CBCT.
View Article and Find Full Text PDFPurpose: This study examined whether the individual and organisational factors of ecological systems theory are associated with job satisfaction among nurses in South Korea.
Background: Nursing shortages and high turnover rates are a global issue in healthcare settings, and job satisfaction is significantly associated with the turnover intention of nurses. Therefore, efforts to promote job satisfaction are needed to decrease the high turnover rates among nurses and promote care quality and patient safety.