Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Heechan Kim"'
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Commonly, large π-conjugated systems facilitate low-energy electronic transitions. Here, the authors demonstrate that the relief of excited-state antiaromaticity of the benzene core leads to large Stokes shifts, and allows the construction of emitte
Externí odkaz:
https://doaj.org/article/d9f3a85a56e24a58af96e7606e58323e
Autor:
Heechan Kim, Ho-Jang Kwon, Jeongbae Rhie, Sinye Lim, Yun-Dan Kang, Sang-Yong Eom, Hyungryul Lim, Jun-Pyo Myong, Sangchul Roh
Publikováno v:
Annals of Occupational and Environmental Medicine, Vol 29, Iss 1, Pp 1-12 (2017)
Abstract Background This study investigated the relationship between job type and the risk for spontaneous abortion to assess the reproductive toxicity of female workers in the semiconductor industry. Methods A questionnaire survey was administered t
Externí odkaz:
https://doaj.org/article/bef8dd61d9e64c8bae508e92f547eed6
Autor:
Heechan Kim, Soowon Lee
Publikováno v:
Information, Vol 11, Iss 11, p 536 (2020)
Automatic document summarization is a field of natural language processing that is rapidly improving with the development of end-to-end deep learning models. In this paper, we propose a novel summarization model that consists of three methods. The fi
Externí odkaz:
https://doaj.org/article/a007b54fc0c64e0f90474c7f49317e0a
Autor:
Heechan Kim, Sangchul Roh
Publikováno v:
Environmental Health and Toxicology, Vol 31 (2016)
Objectives This study aimed to evaluate the relationship between residential district of people, such as power plant, steel-mill and petrochemical industries, and health-related quality of life (HRQoL). Methods Using a cross-sectional study design, w
Externí odkaz:
https://doaj.org/article/d6e1b851b35f4d489e82917b3065a072
Publikováno v:
Chemical Science. 14:3265-3269
An uneven distribution of ligand donor atoms and metal centers of a double-helical trinuclear complex drives a hitherto unknown type of fluxional motion taking a spiral path with an extraordinarily low energy barrier.
Autor:
Younghun Kim, Heechan Kim, Jung Bae Son, Michael Filatov, Cheol Ho Choi, Nam Ki Lee, Dongwhan Lee
Publikováno v:
Angewandte Chemie. 135
A deep learning model based on sequential object feature accumulation for sport activity recognition
Publikováno v:
Multimedia Tools and Applications.
Autor:
Heechan Kim, Dongwhan Lee
Publikováno v:
Bulletin of the Korean Chemical Society. 43:549-553
Autor:
Soowon Lee, Heechan Kim
Publikováno v:
Information
Volume 11
Issue 11
Information, Vol 11, Iss 536, p 536 (2020)
Volume 11
Issue 11
Information, Vol 11, Iss 536, p 536 (2020)
Automatic document summarization is a field of natural language processing that is rapidly improving with the development of end-to-end deep learning models. In this paper, we propose a novel summarization model that consists of three methods. The fi
Autor:
Jihyeon Kim, Sunghyun Ko, Chanwoo Noh, Heechan Kim, Sechan Lee, Dodam Kim, Hyeokjun Park, Giyun Kwon, Giyeong Son, Jong Wan Ko, YounJoon Jung, Dongwhan Lee, Chan Beum Park, Kisuk Kang
Publikováno v:
Angewandte Chemie International Edition. 58