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.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7557048cd2f31cdcab9e353331431d91
https://doi.org/10.1039/d3sc00851g
https://doi.org/10.1039/d3sc00851g
Autor:
Younghun Kim, Heechan Kim, Jung Bae Son, Michael Filatov, Cheol Ho Choi, Nam Ki Lee, Dongwhan Lee
Publikováno v:
Angewandte Chemie. 135
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04a9dcc90a0185600a145905f1bd471d
https://doi.org/10.1002/ange.202302107
https://doi.org/10.1002/ange.202302107
A deep learning model based on sequential object feature accumulation for sport activity recognition
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89c445e03d168b3bc856efc11a166636
https://doi.org/10.1007/s11042-023-15022-8
https://doi.org/10.1007/s11042-023-15022-8
Autor:
Heechan Kim, Dongwhan Lee
Publikováno v:
Bulletin of the Korean Chemical Society. 43:549-553
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ced794aea5fda771b881406336eb0a84
https://doi.org/10.1002/bkcs.12480
https://doi.org/10.1002/bkcs.12480
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ddbae795199c9b612877ebd5f10f536
Publikováno v:
Journal of Photochemistry and Photobiology A: Chemistry. 338:146-151
Titanium phosphates with wide range of phosphate content (phosphate/Ti = 0 ∼ 2) are prepared by one step hydrothermal method, and their photocatalytic property are valuated based on the rate of oxidative degradation of organic pollutants (4-chlorop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1711b9af8a8d400084cab4f56cfe51d
https://doi.org/10.1016/j.jphotochem.2017.01.016
https://doi.org/10.1016/j.jphotochem.2017.01.016