Zobrazeno 1 - 10
of 802
pro vyhledávání: '"In Ki Mun"'
We demonstrate that a novel device design, where a shape-engineered tilted-leg thermopile structure is employed, significantly enhances the output voltage in the transverse direction. Owing to the shape engineering of the leg geometry, an additional
Externí odkaz:
http://arxiv.org/abs/2401.11178
Autor:
Seul-Ki Mun, Chang Joo Jang, Semi Jo, Si-Hyoun Park, Hyun Bo Sim, Sonny C. Ramos, Hyeongyeong Kim, Yu-Jeong Choi, Dae-Han Park, Kyung-Wuk Park, Beom-Gyun Jeong, Dae Heon Kim, Kyung-Yun Kang, Jong-Jin Kim
Publikováno v:
Animal Cells and Systems, Vol 28, Iss 1, Pp 340-352 (2024)
Preventing disease and maintaining the health of the elderly are crucial goals for an aging population, with obesity and immune function restoration being of paramount importance. Obesity, particularly visceral obesity characterized by excessive fat
Externí odkaz:
https://doaj.org/article/bcaa4cfca2a242ecb65b0f1beb1db1a9
Autor:
Alonso, Jose R., Winklehner, Daniel, Spitz, Joshua, Conrad, Janet M., Seo, Seon-Hee, Kim, Yeongduk, Shaevitz, Michael, Bungau, Adriana, Barlow, Roger, Calabretta, Luciano, Adelmann, Andreas, Mishins, Daniel, Bartoszek, Larry, Waites, Loyd H., Bang, Ki-Mun, Park, Kang-Soon, Voirin, Erik A.
IsoDAR@Yemilab is a novel isotope-decay-at-rest experiment that has preliminary approval to run at the Yemi underground laboratory (Yemilab) in Jeongseon-gun, South Korea. In this technical report, we describe in detail the considerations for install
Externí odkaz:
http://arxiv.org/abs/2201.10040
Autor:
Min Seo Choi, Jee Suk Chang, Kyubo Kim, Jin Hee Kim, Tae Hyung Kim, Sungmin Kim, Hyejung Cha, Oyeon Cho, Jin Hwa Choi, Myungsoo Kim, Juree Kim, Tae Gyu Kim, Seung-Gu Yeo, Ah Ram Chang, Sung-Ja Ahn, Jinhyun Choi, Ki Mun Kang, Jeanny Kwon, Taeryool Koo, Mi Young Kim, Seo Hee Choi, Bae Kwon Jeong, Bum-Sup Jang, In Young Jo, Hyebin Lee, Nalee Kim, Hae Jin Park, Jung Ho Im, Sea-Won Lee, Yeona Cho, Sun Young Lee, Ji Hyun Chang, Jaehee Chun, Eung Man Lee, Jin Sung Kim, Kyung Hwan Shin, Yong Bae Kim
Publikováno v:
Breast, Vol 74, Iss , Pp 103624- (2024)
Externí odkaz:
https://doaj.org/article/b89999eefe264fc38941988169939559
Autor:
Min Seo Choi, Jee Suk Chang, Kyubo Kim, Jin Hee Kim, Tae Hyung Kim, Sungmin Kim, Hyejung Cha, Oyeon Cho, Jin Hwa Choi, Myungsoo Kim, Juree Kim, Tae Gyu Kim, Seung-Gu Yeo, Ah Ram Chang, Sung-Ja Ahn, Jinhyun Choi, Ki Mun Kang, Jeanny Kwon, Taeryool Koo, Mi Young Kim, Seo Hee Choi, Bae Kwon Jeong, Bum-Sup Jang, In Young Jo, Hyebin Lee, Nalee Kim, Hae Jin Park, Jung Ho Im, Sea-Won Lee, Yeona Cho, Sun Young Lee, Ji Hyun Chang, Jaehee Chun, Eung Man Lee, Jin Sung Kim, Kyung Hwan Shin, Yong Bae Kim
Publikováno v:
Breast, Vol 73, Iss , Pp 103599- (2024)
Purpose: To quantify interobserver variation (IOV) in target volume and organs-at-risk (OAR) contouring across 31 institutions in breast cancer cases and to explore the clinical utility of deep learning (DL)-based auto-contouring in reducing potentia
Externí odkaz:
https://doaj.org/article/02c874daef2745c1a559234cccabbe4a
Autor:
Choi, Min Seo, Chang, Jee Suk, Kim, Kyubo, Kim, Jin Hee, Kim, Tae Hyung, Kim, Sungmin, Cha, Hyejung, Cho, Oyeon, Choi, Jin Hwa, Kim, Myungsoo, Kim, Juree, Kim, Tae Gyu, Yeo, Seung-Gu, Chang, Ah Ram, Ahn, Sung-Ja, Choi, Jinhyun, Kang, Ki Mun, Kwon, Jeanny, Koo, Taeryool, Kim, Mi Young, Choi, Seo Hee, Jeong, Bae Kwon, Jang, Bum-Sup, Jo, In Young, Lee, Hyebin, Kim, Nalee, Park, Hae Jin, Im, Jung Ho, Lee, Sea-Won, Cho, Yeona, Lee, Sun Young, Chang, Ji Hyun, Chun, Jaehee, Lee, Eung Man, Kim, Jin Sung, Shin, Kyung Hwan, Kim, Yong Bae
Publikováno v:
In The Breast February 2024 73
Autor:
Seul-Ki Mun, Hyun Bo Sim, Ji Yeon Han, Hyeongyeong Kim, Dae-Han Park, Dong-Jo Chang, Sung-Tae Yee, Young-Tae Chang, Jong-Jin Kim
Publikováno v:
Tomography, Vol 9, Iss 4, Pp 1187-1195 (2023)
The development of efficient biomarkers and probes for monitoring and treating cancer, specifically metastatic cancer, is a critical research area that can have a significant impact on both patient outcomes and drug discovery. In this context, TiNIR
Externí odkaz:
https://doaj.org/article/4ab1bb8c93eb445b9a85c7d4f6b4b7a8
Akademický článek
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Autor:
Park, Sang J., Park, Junyoung, Bang, Ki Mun, Lee, Jung Min, Park, Woosung, Ziolkowski, Pawel, Jin, Hyungyu
Publikováno v:
In Applied Thermal Engineering September 2023 232
Autor:
Dow-Mu Koh, Nickolas Papanikolaou, Ulrich Bick, Rowland Illing, Charles E. Kahn, Jayshree Kalpathi-Cramer, Celso Matos, Luis Martí-Bonmatí, Anne Miles, Seong Ki Mun, Sandy Napel, Andrea Rockall, Evis Sala, Nicola Strickland, Fred Prior
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-14 (2022)
Koh, Papanikolaou et al. discuss the application of artificial intelligence in cancer imaging. The authors highlight opportunities for exploiting machine learning algorithms in this field, and outline barriers in their implementation and how these mi
Externí odkaz:
https://doaj.org/article/df6955d9feba4472b7fcd3e78d30cacc