Zobrazeno 1 - 10
of 109
pro vyhledávání: '"HANJU LEE"'
Autor:
Jihye Yang, Hanju Lee
Publikováno v:
IEEE Access, Vol 12, Pp 133045-133053 (2024)
In this paper, we propose a method for the simultaneous imaging of static and microwave magnetic field distributions using magneto-optical indicator microscopy. This method employs an optical indicator made of a bismuth-substituted yttrium iron garne
Externí odkaz:
https://doaj.org/article/91eb5d5996934e0eb7ea7674fdcc6efb
Autor:
Junsoo Kim, Daehwa Youn, Seunghoon Choi, Youn Woo Lee, Dulguun Sumberzul, Jeongeun Yoon, Hanju Lee, Jong Woo Bae, Hyuna Noh, Dain On, Seung-Min Hong, Se-Hee An, Hui Jeong Jang, Seo Yeon Kim, Young Been Kim, Ji-Yeon Hwang, Hyo-Jung Lee, Hong Bin Kim, Jun Won Park, Jun-Won Yun, Jeon-Soo Shin, Jun-Young Seo, Ki Taek Nam, Kang-Seuk Choi, Ho-Young Lee, Hyeshik Chang, Je Kyung Seong, Jun Cho
Publikováno v:
Experimental and Molecular Medicine, Vol 55, Iss 12, Pp 2541-2552 (2023)
Abstract Translational regulation in tissue environments during in vivo viral pathogenesis has rarely been studied due to the lack of translatomes from virus-infected tissues, although a series of translatome studies using in vitro cultured cells wit
Externí odkaz:
https://doaj.org/article/4cdfa6d0c5de4792a0d2f064577fcea6
Publikováno v:
IEEE Access, Vol 11, Pp 45961-45971 (2023)
We present a new optical method for the detection of defect in dielectric materials. This method is based on the optical visualization of the microwave near-field distribution around defects in a dielectric material. In this study, we visualized the
Externí odkaz:
https://doaj.org/article/1e6935a4a9d34601bbef0e8a41a5724c
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
IntroductionOnce the underlying pathology has been identified, pulsatile tinnitus (PT) can be treated successfully with surgical or interventional management. However, some patients experience residual or recurrent symptoms following initially succes
Externí odkaz:
https://doaj.org/article/a5eb16ae799545a7900ada776a400d2e
Autor:
Junsoo Kim, Daehwa Youn, Seunghoon Choi, Youn Woo Lee, Dulguun Sumberzul, Jeongeun Yoon, Hanju Lee, Jong Woo Bae, Hyuna Noh, Dain On, Seung-Min Hong, Se-Hee An, Hui Jeong Jang, Seo Yeon Kim, Young Been Kim, Ji-Yeon Hwang, Hyo-Jung Lee, Hong Bin Kim, Jun Won Park, Jun-Won Yun, Jeon-Soo Shin, Jun-Young Seo, Ki Taek Nam, Kang-Seuk Choi, Ho-Young Lee, Hyeshik Chang, Je Kyung Seong, Jun Cho
Publikováno v:
Experimental and Molecular Medicine, Vol 55, Iss 12, Pp 2609-2609 (2023)
Externí odkaz:
https://doaj.org/article/64a526abe0f44e28942df355f8627d4c
Autor:
Hanju Lee
Publikováno v:
IEEE Access, Vol 10, Pp 33537-33546 (2022)
A new method based on microwave near-field imaging for the detection of water droplets and air bubbles in a dielectric tube is presented. The present method is based on the optical visualization of the microwave near-field distribution excited around
Externí odkaz:
https://doaj.org/article/7756ac5219ed46f0b5d13ea97e9db1fa
Publikováno v:
Nursing Open, Vol 8, Iss 4, Pp 1870-1878 (2021)
Abstract Aim To develop a new general wards patient classification tool based on the nursing intensity level that reflects patients’ clinical characteristics and indirect nursing activities. Design A cross‐sectional design was adopted. This metho
Externí odkaz:
https://doaj.org/article/44de870ec36442dcb30c8e2dd72663cb
Publikováno v:
IEEE Access, Vol 7, Pp 46084-46091 (2019)
We present a new method for the subsurface imaging of a conductive object embedded in a dielectric medium based on microwave imaging by thermo-elastic optical indicator microscopy. The present method is based on the imaging of the microwave near fiel
Externí odkaz:
https://doaj.org/article/865a239ec40d4060a0e0408c33897523
Publikováno v:
IEEE Access, Vol 7, Pp 42201-42209 (2019)
We present a new optical method for the electrical defect inspection for indium tin oxide (ITO) thin film on a glass substrate. The present method is based on the visualization of the microwave heating distribution around an electrical defect from th
Externí odkaz:
https://doaj.org/article/2ca6cea525a947d6bc75141ccff2c85c
Autor:
Hanada, Hiroyuki, Akahane, Satoshi, Aoyama, Tatsuya, Tanaka, Tomonari, Okura, Yoshito, Inatsu, Yu, Hashimoto, Noriaki, Murayama, Taro, Hanju, Lee, Kojima, Shinya, Takeuchi, Ichiro
In this study, we propose a method Distributionally Robust Safe Screening (DRSS), for identifying unnecessary samples and features within a DR covariate shift setting. This method effectively combines DR learning, a paradigm aimed at enhancing model
Externí odkaz:
http://arxiv.org/abs/2404.16328
