Zobrazeno 1 - 10
of 12
pro vyhledávání: '"You Jin Chung"'
Autor:
Hyun Woo Kim, Dae Hyun Kim, Byeol Ryu, You Jin Chung, Kyungha Lee, Young Chang Kim, Jung Woo Lee, Dong Hwi Kim, Woojong Jang, Woohyeon Cho, Hyeonah Shim, Sang Hyun Sung, Tae-Jin Yang, Kyo Bin Kang
Publikováno v:
Journal of Ginseng Research, Vol 48, Iss 2, Pp 149-162 (2024)
Ginseng, the roots of Panax species, is an important medicinal herb used as a tonic. As ginsenosides are key bioactive components of ginseng, holistic chemical profiling of them has provided many insights into understanding ginseng. Mass spectrometry
Externí odkaz:
https://doaj.org/article/c4d5dcb8fb37457ea877b20a6ee0b477
Publikováno v:
Remaking Social Work for the New Global Era ISBN: 9783031083518
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef2992530ad0dd9b7e4db046837313ea
https://doi.org/10.1007/978-3-031-08352-5_8
https://doi.org/10.1007/978-3-031-08352-5_8
Autor:
Siow Ann Chong, You Jin Chung, Mythily Subramaniam, Boon Kheng Seng, Syed Ahmad Mahdi Syed Ahmad
Publikováno v:
Asian Social Work and Policy Review
As social work under normal circumstances is already a stress‐laden helping profession, this study intended to examine the level of psychological distress among the frontline social workers during the COVID‐19 pandemic and whether resilience and
Autor:
You-Jin Chung, Ok-Kyung Yang
Publikováno v:
Mental Health and Social Work ISBN: 9789811304408
Mental Health and Social Work
Mental Health and Social Work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d74827aaabdf8850d415feae4137defd
https://doi.org/10.1007/978-981-13-0440-8_15-1
https://doi.org/10.1007/978-981-13-0440-8_15-1
Autor:
Tae-Jin Yang, Sang Hyun Sung, Yun Sun Lee, Van Binh Nguyen, Ik-Young Choi, Byeol Ryu, Hyun Jo Koo, Kyo Bin Kang, Dong Young Lee, Murukarthick Jayakodi, Hyun-Seung Park, Dae-Hyun Kim, You Jin Chung
Publikováno v:
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
Ginsenosides are dammarane-type or triterpenoidal saponins that contribute to the various pharmacological activities of the medicinal herb Panax ginseng. The putative biosynthetic pathway for ginsenoside biosynthesis is known in P. ginseng, as are so
Autor:
You-Jin Chung, Jayashree Mohanty
Publikováno v:
Journal of Population Research. 31:219-235
Migration within Asia has increased dramatically in recent years; however, very little is known about how Asian immigrant adolescents adapt to their new Asian environments. The present study explores the processes of acculturative stress and identity
Autor:
You-Jin Chung, Choon-Sup Hwang
Publikováno v:
Journal of the Korean Society of Clothing and Textiles. 36:84-98
This study examines the children`s wear purchasing behavior of younger generation women (the missy group) and in the new-silver generation (retired). The data collected in the study were examined with a view to establish effective marketing strategie
Publikováno v:
Literary and Linguistic Computing. 17:19-36
This paper presents a semi-automatic ontology construction method using various resources, and an ontology-based word sense disambiguation method in machine translation. To acquire a reasonably practical ontology in limited time and with less manpowe
Publikováno v:
Natural Language Processing – IJCNLP 2004 ISBN: 9783540244752
IJCNLP
IJCNLP
Most previous corpus-based approaches to word-sense disambiguation (WSD) collect salient words from the context of a target word. However, they suffer from the problem of data sparseness. To overcome the problem, this paper proposes a concept-based W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::962349822ea04e83343e851c4c8b7aa3
https://doi.org/10.1007/978-3-540-30211-7_37
https://doi.org/10.1007/978-3-540-30211-7_37
Publikováno v:
COLING-02 on Machine translation in Asia.
This paper presents a method to resolve word sense ambiguity in a Korean-to-Japanese machine translation system using neural networks. The execution of our neural network model is based on the concept codes of a thesaurus. Most previous word sense di