Publications by authors named "Dong-Hoon Jang"
Article Synopsis
- Ultrasound equipment is crucial for diagnosing internal conditions, but image quality is often subjective and varies based on the evaluator's experience, leading to potential misdiagnosis.
- This study introduces a two-stage deep learning framework that objectively assesses ultrasound image quality based on three important factors: 'Dead zone', 'Axial/lateral resolution', and 'Gray scale and dynamic range'.
- The deep learning model shows excellent performance, with high AUC scores, demonstrating its effectiveness in providing consistent quality control and an overall equipment quality score for ultrasound machines.
Objectives: Fertility-sparing treatment (FST) might be considered an option for reproductive patients with low-risk endometrial cancer (EC). On the other hand, the matching rates between preoperative assessment and postoperative pathology in low-risk EC patients are not high enough. We aimed to predict the postoperative pathology depending on preoperative myometrial invasion (MI) and grade in low-risk EC patients to help extend the current criteria for FST.
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- The study investigates the prevalence of a zoonotic bacterium in various animals in the Republic of Korea and evaluates their potential as sources for human infection.
- A total of 592 blood samples from different animal species showed that Korean-native goats had the highest infection rate (22.7%), followed by dairy (16.4%) and beef cattle (15.2%).
- The findings indicate that these animals, especially goats and cattle, are significant reservoirs for the bacteria, highlighting the need for further research on its pathogenicity in humans.
This study was conducted to determine the prevalence of in cattle and how that prevalence is influenced by cattle breed and growth type. A total of 491 cattle [cattle breed: 216 dairy cattle and 275 beef cattle; growth type: indoor housed ( = 294) and grazing ( = 197)] were used. The presence of DNA and antibodies was detected from blood and serum samples using polymerase chain reaction (PCR) and enzyme-linked immunosorbent assay (ELISA), respectively.
View Article and Find Full Text PDFAim: To investigate the therapeutic effect of natural extract eye drops containing bee venom, musk, and deer antlers in dry eye disease (DED) animal models.
Methods: Scopolamine-injected DED rats and lacrimal gland-excised rats were allocated into control, saline, and natural extract groups respectively and a normal group (lacrimal gland excision was not performed) in lacrimal gland-excised rats. After eye drop instillation 4 times a day for 5d, corneal fluorescein staining (CFS) scores, tear MUC5AC levels, and tear lactic dehydrogenase (LDH) levels were measured.
Effect of Heat Treatment on Properties of Glass Nanocomposite Sealants.
J Nanosci Nanotechnol
January 2015
The objective of this study was to investigate the effect of heat treatments on the viscosities and electrical conductivities of glass sealants to be used in solid oxide fuel cells. Glass-based sealants, both with and without an alumina nanopowder added as a nanofiller, were heat treated at temperatures ranging from 750 degrees C to 770 degrees C for periods of up to 240 h. The effects of heat treatments on the viscosities, electrical conductivities and phase transformations of the sealants were investigated.
View Article and Find Full Text PDFEffect of alumina nanofiller on properties of heat-treated glass composite sealants.
J Nanosci Nanotechnol
November 2014
Alkali/alkaline-earth borosilicate glass-alumina composites containing 10 vol% Al2O3 were prepared for use as solid oxide fuel cell sealants. The effect of heat treatment and Al2O3, addition on the viscosities and electrical conductivities was investigated to improve cyclic sealing performance. Upon a 48-h heat treatment, the viscosity of the glass-alumina composites at 750 degrees C was approximately four orders of magnitude higher than that of the base glass owing to the crystallization of the glass in the presence of Al2O3.
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