Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Kanghyun, Park"'
Autor:
Kanghyun Park, Hong Ju Kwon, Hyeonjin Kim, Eungyung Kim, Chae Yeon Kim, Ke Huang, Zhibin Liu, Jun Koo Yi, Doyoon Kim, Yonghun Sung, Shengqing Li, Weihong Wen, Zae Young Ryoo, Soyoung Jang, Myoung Ok Kim
Publikováno v:
Journal of Functional Foods, Vol 120, Iss , Pp 106362- (2024)
Industrialization and urbanization produce hazardous particulate matter (PM), including ammonium compounds like (NH4)2SO4 and NH4NO3, which comprise around 50 % of PM. Despite this, the influence of ammonium on intestinal inflammation remains unclear
Externí odkaz:
https://doaj.org/article/e55eca4542ff49dd9ede4814b6ad3133
Autor:
EUNGYUNG KIM, NA EUN CHO, SIJUN PARK, HONG-GYUM KIM, JUNKOO YI, HYEONJIN KIM, LEI MA, KE HUANG, ZHIBIN LIU, CHAE YEON KIM, KANGHYUN PARK, YONGHUN SUNG, SOYOUNG JANG, SOYEON JANG, SEONG-KYOON CHOI, ZAE YOUNG RYOO, SU-GEUN LIM, MYOUNG OK KIM
Publikováno v:
In Vivo; Sep/Oct2024, Vol. 38 Issue 5, p2318-2327, 10p
Autor:
HYEONJIN KIM, CHAE YEON KIM, DONGWOOK KIM, EUNGYUNG KIM, LEI MA, KANGHYUN PARK, ZHIBIN LIU, KE HUANG, WEIHONG WEN, JIWON KO, SU-GEUN LIM, YOUNGHUN SUNG, ZAE YOUNG RYOO, JUN KOO YI, SOYOUNG JANG, MYOUNGOK KIM
Publikováno v:
In Vivo; Sep/Oct2024, Vol. 38 Issue 5, p2310-2317, 8p
Autor:
Sanha Jang, Kyeongmun Park, Sehwan Song, Haksoo Lee, Sungkyun Park, Buhyun Youn, Kanghyun Park
Publikováno v:
Water, Vol 13, Iss 22, p 3302 (2021)
In the present study, oyster shells, a cause of environmental pollution, were employed effectively to synthesize hydroxyapatite (HAP) by facile oxidation and phosphorylation. The ability of HAP to adsorb various metal cations and inhibit bacterial gr
Externí odkaz:
https://doaj.org/article/86ffbd108b5f4176b158307ec9929513
Publikováno v:
The Science of the total environment.
Geological carbon capture and storage (CCS) can reduce anthropogenic CO
Publikováno v:
Science of The Total Environment. 876:162570
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Goldschmidt2022 abstracts.
Publikováno v:
Materials Science and Engineering: A. 840:142999
Publikováno v:
2020 20th International Conference on Control, Automation and Systems (ICCAS).
In tandem with growing deep learning technology, vehicle detection using convolutional neural network is now become a mainstream in the field of autonomous driving and ADAS. Taking advantage of this, lots of real image datasets have been produced in