Zobrazeno 1 - 10
of 255
pro vyhledávání: '"Bum Jun, Kim"'
Autor:
Hanki Kim, Bum Jun Kim, Seungyon Koh, Hyo Jin Cho, Xuelian Jin, Byung Gon Kim, Jun Young Choi
Publikováno v:
Neural Regeneration Research, Vol 20, Iss 1, Pp 107-115 (2025)
High-mobility group box 1 was first discovered in the calf thymus as a DNA-binding nuclear protein and has been widely studied in diverse fields, including neurology and neuroscience. High-mobility group box 1 in the extracellular space functions as
Externí odkaz:
https://doaj.org/article/1c95b644f6ae42e9a394b6d69a3b3241
Publikováno v:
Current Oncology, Vol 31, Iss 4, Pp 2278-2288 (2024)
Background: Accurate detection of axillary lymph node (ALN) metastases in breast cancer is crucial for clinical staging and treatment planning. This study aims to develop a deep learning model using clinical implication-applied preprocessed computed
Externí odkaz:
https://doaj.org/article/c8705e6df5204a9abb8909448adb7bac
Publikováno v:
BMC Ophthalmology, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Retinal vascular occlusions, including retinal vein occlusion and retinal artery occlusion, are common causes of visual impairment. In order to evaluate the national medical burden and help improve ophthalmic health care policy pl
Externí odkaz:
https://doaj.org/article/68cf94ed12984570ab9172bad9ca3611
Autor:
Hanki Kim, Bum Jun Kim, Seungyon Koh, Hyo Jin Cho, Xuelian Jin, Byung Gon Kim, Jun Young Choi
Publikováno v:
MethodsX, Vol 13, Iss , Pp 102781- (2024)
Oligodendrocytes (OLs) are glial cells responsible for the formation of myelin sheaths in the central nervous system. The characteristic features of the oligodendrocyte lineage, ranging from proliferative and migratory oligodendrocyte progenitor cell
Externí odkaz:
https://doaj.org/article/a4abd824388345558be04ece98c6ca2f
Autor:
Hanki Kim, Bum Jun Kim, Seungyon Koh, Hyo Jin Cho, Xuelian Jin, Byung Gon Kim, Jun Young Choi
Publikováno v:
Heliyon, Vol 10, Iss 8, Pp e29359- (2024)
Oligodendrocytes (OL) are myelin-forming glial cells in the central nervous system. In vitro primary OL culture models offer the benefit of a more readily controlled environment that facilitates the examination of diverse OL stages and their intricat
Externí odkaz:
https://doaj.org/article/0a8ed1a5687c44dbb73c0add89be97e9
Autor:
Bum-Jun Kim, Il-Woo Nam
Publikováno v:
Polymers, Vol 16, Iss 17, p 2491 (2024)
This study investigates the mechanical and piezoresistive sensing properties of recycled carbon-fiber-reinforced polymer composites (rCFRPs) for self-sensing applications, which were prepared from recycled carbon fibers (rCFs) with fiber lengths of 6
Externí odkaz:
https://doaj.org/article/b57a85d17926442c9fa9c5ddec8be8ca
Publikováno v:
IEEE Access, Vol 11, Pp 129311-129319 (2023)
With the progressive automation of factories, the demand for deep learning methods capable of recognizing characters is rising. A billet identification number (BIN) is a string of characters that contains all information about the billet, but it is o
Externí odkaz:
https://doaj.org/article/5bdf7bfdbdee487091c26948948a0cad
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 3, p 1769 (2024)
Although conventional combination chemotherapies for advanced gastric cancer (GC) increase survival, such therapies are associated with major adverse effects; more effective and less toxic treatments are required. Combinations of different anti-cance
Externí odkaz:
https://doaj.org/article/0e35c2b960bc47cd8f3f8dd86f2d75cf
Autor:
Md Imran Hossain, Sitansu Sekhar Nanda, Sooheon Cho, Bom Lee, Bum Jun Kim, Jae-Young Choi, Dong Kee Yi
Publikováno v:
Biosensors, Vol 13, Iss 11, p 962 (2023)
Surface-enhanced Raman spectroscopy (SERS) is an effective technique for biosensing, enabling label-free detection of biomolecules with enhanced sensitivity. There is a tremendous probability of signal failure in Raman frequencies because of the scat
Externí odkaz:
https://doaj.org/article/814adc76f5b14c1a95e5b892df2e538c
Autor:
Tae Seen Kang, Bum Jun Kim, Ki Yup Nam, Seongjin Lee, Kyonghoon Kim, Woong-sub Lee, Jinhyun Kim, Yong Soep Han
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract We analyzed fundus images to identify whether convolutional neural networks (CNNs) can discriminate between right and left fundus images. We gathered 98,038 fundus photographs from the Gyeongsang National University Changwon Hospital, South
Externí odkaz:
https://doaj.org/article/66cbde4c002d4fee8d355f8303f07f3a