Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sehwan Moon"'
Autor:
Sehwan Moon, Youngsuk Lee, Jeongyoung Hwang, Chul Gu Kim, Jong Woo Kim, Won Tae Yoon, Jae Hui Kim
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract To develop an artificial intelligence (AI) model that predicts anti-vascular endothelial growth factor (VEGF) agent-specific anatomical treatment outcomes in neovascular age-related macular degeneration (AMD), thereby assisting clinicians in
Externí odkaz:
https://doaj.org/article/e24b8c92b2e14421892cb34a94b7e7bc
Autor:
Hyeokjun Park, Hee-Dae Lim, Hyung-Kyu Lim, Won Mo Seong, Sehwan Moon, Youngmin Ko, Byungju Lee, Youngjoon Bae, Hyungjun Kim, Kisuk Kang
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-10 (2017)
Commercial electrolytes for lithium ion batteries cannot be used for current metal-gas batteries due to the instability despite various merits. Here, the authors successfully exploit a widely used carbonate-based electrolyte to boost the electrochemi
Externí odkaz:
https://doaj.org/article/3e8d90bf628e409f9539eb77511019c6
Publikováno v:
Journal of Computational Biology. 29:892-907
Integration of multi-omics data provides opportunities for revealing biological mechanisms related to certain phenotypes. We propose a novel method of multi-omics integration called supervised deep generalized canonical correlation analysis (SDGCCA)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cfd600a64e966ebaa5186eb5d9e00d8
https://doi.org/10.1089/cmb.2021.0598
https://doi.org/10.1089/cmb.2021.0598
Autor:
Sehwan Moon, Hyunju Lee
Publikováno v:
Bioinformatics
Motivation Accurate diagnostic classification and biological interpretation are important in biology and medicine, which are data-rich sciences. Thus, integration of different data types is necessary for the high predictive accuracy of clinical pheno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b587fec2592091059afd166fcb736f02
https://doi.org/10.1093/bioinformatics/btac080
https://doi.org/10.1093/bioinformatics/btac080
Autor:
Hyeokjun Park, Myeong Hwan Lee, Kisuk Kang, Nonglak Meethong, Sehwan Moon, Orapa Tamwattana, Kyu-Young Park, Won Mo Seong, Gabin Yoon
Publikováno v:
Journal of Materials Chemistry A. 7:24807-24813
Increasing demands for performance beyond the limit of current lithium ion batteries for higher energy densities have rejuvenated research using lithium metal as an anode. However, commercial implementation has still been hampered due to safety issue
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6bfe816e5070686d57b6f2837dbe098
https://doi.org/10.1039/c9ta08032e
https://doi.org/10.1039/c9ta08032e
Publikováno v:
Chemistry of Materials. 30:6769-6776
Metallic lithium (Li) is a promising anode candidate for high-energy-density rechargeable batteries because of its low redox potential and high theoretical capacity. However, its practical application is not imminent because of issues related to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::677d5c719b42298a117a174e72927eca
https://doi.org/10.1021/acs.chemmater.8b02623
https://doi.org/10.1021/acs.chemmater.8b02623
Autor:
Kyungbae Oh, Myeong Hwan Lee, Kisuk Kang, Sechan Lee, Sehwan Moon, Won Mo Seong, Hyeokjun Park, Kyu-Young Park
Publikováno v:
Energy & Environmental Science. 11:970-978
Lithium-ion batteries are expected to serve as a key technology for large-scale energy storage systems (ESSs), which will help satisfy recent increasing demands for renewable energy utilization. Besides their promising electrochemical performance, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ff2fa8b5d9cdcf8903160d82465f681
https://doi.org/10.1039/c8ee00186c
https://doi.org/10.1039/c8ee00186c
Autor:
Hyunju Lee, Sehwan Moon
Publikováno v:
Journal of Personalized Medicine, Vol 11, Iss 686, p 686 (2021)
Journal of Personalized Medicine
Volume 11
Issue 8
Journal of Personalized Medicine
Volume 11
Issue 8
High dimensional multi-omics data integration can enhance our understanding of the complex biological interactions in human diseases. However, most studies involving unsupervised integration of multi-omics data focus on linear integration methods. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7adf9dff1fb8daa553fbf259c0e5a57b
https://doi.org/10.3390/jpm11080686
https://doi.org/10.3390/jpm11080686
Publikováno v:
Chemistry of Materials. 29:9182-9191
Increasing demands for advanced lithium batteries with higher energy density have resurrected the use of lithium metal as an anode, whose practical implementation has still been restricted, because of its intrinsic problems originating from the high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebaa05c9a5b40b72fc5d1ca1e3efcb7e
https://doi.org/10.1021/acs.chemmater.7b03027
https://doi.org/10.1021/acs.chemmater.7b03027
Autor:
Donghee Chang, Giyun Kwon, Won Mo Seong, Sehwan Moon, Byungju Lee, Jinsoo Kim, Sung Joo Kim, Kisuk Kang, Kyungbae Oh, Hyeokjun Park, Kyu-Young Park, Myeong Hwan Lee
Recent discovery of high-concentration electrolyte systems has opened a new avenue toward the high-voltage, safe, and low-cost aqueous rechargeable batteries. However, the need for generally high-cost organic solutes in the high-concentration electro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a8286a89d3bce6b17fa1100120e6369
https://escholarship.org/uc/item/8x15j45t
https://escholarship.org/uc/item/8x15j45t
