Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Kwangbae Lee"'
Impact of hyperuricemia on CKD risk beyond genetic predisposition in a population-based cohort study
Autor:
Yaerim Kim, Jinyeon Jo, Yunmi Ji, Eunjin Bae, Kwangbae Lee, Jin Hyuk Paek, Kyubok Jin, Seungyeup Han, Jung Pyo Lee, Dong Ki Kim, Chun Soo Lim, Sungho Won, Jeonghwan Lee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The bidirectional effect of hyperuricemia on chronic kidney disease (CKD) underscores the importance of hyperuricemia as a risk factor for CKD. We evaluated the effect of hyperuricemia on the presence and development of CKD after considering
Externí odkaz:
https://doaj.org/article/afd470aa36ce4b3db2903e67be88a767
Autor:
Youngmin Han, Unchong Kim, Keum Ji Jung, Ji-Young Lee, Kwangbae Lee, Sang Yop Shin, Heejin Kimm, Sun Ha Jee
Publikováno v:
Cancer & Metabolism, Vol 11, Iss 1, Pp 1-12 (2023)
Abstract Background Bladder cancer (BLCA) research in Koreans is still lacking, especially in focusing on the prediction of BLCA. The current study aimed to discover metabolic signatures related to BLCA onset and confirm its potential as a biomarker.
Externí odkaz:
https://doaj.org/article/9e4c2de6b97f45c19f8aa2fb758279b8
Publikováno v:
Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-14 (2023)
Abstract Background Pancreatic cancer is a lethal disease with a high mortality rate. The difficulty of early diagnosis is one of its primary causes. Therefore, we aimed to discover non-invasive biomarkers that facilitate the early diagnosis of pancr
Externí odkaz:
https://doaj.org/article/442f6f70a0a6494eb6c79990d447bf74
Autor:
Kwangbae Lee
Publikováno v:
Asia-Pacific Journal of Business & Commerce. 14:3-19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66aea3128cb1595480f555eefcdf9391
https://doi.org/10.35183/ajbc.2022.03.14.1.3
https://doi.org/10.35183/ajbc.2022.03.14.1.3
Autor:
Jeongwhan Park, Kwangbae Lee
Publikováno v:
The Journal of Humanities and Social sciences 21. 13:143-158
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec024805988fed698175c59ed38eca87
https://doi.org/10.22143/hss21.13.1.11
https://doi.org/10.22143/hss21.13.1.11
Publikováno v:
The Journal of Humanities and Social sciences 21. 12:939-954
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c37f3d25a971c9cec1140ea1d8dd54d6
https://doi.org/10.22143/hss21.12.4.67
https://doi.org/10.22143/hss21.12.4.67
Publikováno v:
The Journal of Humanities and Social sciences 21. 12:1751-1766
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe0482b4d951476af990f2336c45e458
https://doi.org/10.22143/hss21.12.3.122
https://doi.org/10.22143/hss21.12.3.122
Autor:
Donghe Li, Woojin Kim, Jahoon An, Soriul Kim, Seungku Lee, Ahra Do, Wonji Kim, Sanghun Lee, Dankyu Yoon, Kwangbae Lee, Seounguk Ha, Edwin K. Silverman, Michael Cho, Chol Shin, Sungho Won
Publikováno v:
Genes; Volume 13; Issue 7; Pages: 1261
Genetic influence on lung functions has been identified in previous studies; however, the relative longitudinal effects of genetic factors and their interactions with smoking on lung function remain unclear. Here, we identified the longitudinal effec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07d6c14a43dec4c924a04526d5201297
https://pubmed.ncbi.nlm.nih.gov/35886044
https://pubmed.ncbi.nlm.nih.gov/35886044
Publikováno v:
2020 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia).
Execution of deep neural networks (DNNs) on a resource constraint device has become a rising issue of recent neural network research. Quantization using low bit-widths for networks is one of the most effective compression techniques. Although there h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea1821703f5dd3b39b50c00d2dd6ec01
https://doi.org/10.1109/icce-asia49877.2020.9277419
https://doi.org/10.1109/icce-asia49877.2020.9277419
Publikováno v:
DATE
Network pruning is a promising compression technique to reduce computation and memory access cost of deep neural networks. Pruning techniques are classified into two types: fine-grained pruning and coarse-grained pruning. Fine-grained pruning elimina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6f0343e4868a08b00fccc4b05c831fe
https://doi.org/10.23919/date48585.2020.9116287
https://doi.org/10.23919/date48585.2020.9116287