Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Cheng‐Wei Chan"'
Autor:
Kuang-Yu Niu, Yu-Chen Cheng, Cheng‐Wei Chan, Chung-Hsien Chaou, Chieh-Ching Yen, Chi-Tai Fang
Publikováno v:
Journal of the Formosan Medical Association, Vol 123, Iss 6, Pp 716-719 (2024)
Background: Real-time surveillance of COVID-19 in large-scale community outbreaks presents challenges. Simple counts of the daily confirmed cases can be misleading due to constraints from bottlenecks in access to care or laboratory testing. This stud
Externí odkaz:
https://doaj.org/article/79121c8f14684f25a7a6f6a876315e4c
Autor:
Akhmad Fajri Widodo, Chenyi Chen, Cheng-Wei Chan, Wafaa Saleh, Bayu Satria Wiratama, Chih-Wei Pai
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-7 (2023)
Abstract Background Studies from Finland and Taiwan have shown that walking against traffic was beneficial for reducing pedestrian crashes and fatalities. This study examined whether such beneficial effects are consistent across various circumstances
Externí odkaz:
https://doaj.org/article/ca3e771a46024c71bcda0265c22c599a
Autor:
Kuang-Yu Niu, Yu-Chen Cheng, Cheng‐Wei Chan, Chieh-Ching Yen, Chung-Hsien Chaou, Chi-Tai Fang
Publikováno v:
Journal of the Formosan Medical Association, Vol 123, Iss 6, Pp 721-722 (2024)
Externí odkaz:
https://doaj.org/article/c9ffb5ed3b6b489382b6be87d8dcbce9
Autor:
Hui-An Lin, Cheng-Wei Chan, Bayu Satria Wiratama, Ping-Ling Chen, Ming-Heng Wang, Chung-Jen Chao, Wafaa Saleh, Hung-Chang Huang, Chih-Wei Pai
Publikováno v:
BMC Public Health, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Most studies have focused on injuries sustained by intoxicated drivers themselves, but few have examined the effect of drunk driving on injury outcomes among VRUs (vulnerable road users) in developing countries. This study aims to
Externí odkaz:
https://doaj.org/article/9cc049bc52e14623a43980c07d148ff6
Autor:
Cheng-Wei Chan, Chien-Hsiung Huang
Publikováno v:
Journal of the Formosan Medical Association, Vol 121, Iss 4, Pp 865-867 (2022)
Externí odkaz:
https://doaj.org/article/ba14c24ddcbf40aa91d3d011fffd3242
Autor:
Cheng-Wei Chan, Chu-Leng Yu, Jiunn-Cherng Lin, Yu-Cheng Hsieh, Che-Chen Lin, Chen-Ying Hung, Cheng-Hung Li, Ying-Chieh Liao, Chu-Pin Lo, Jin-Long Huang, Ching-Heng Lin, Tsu-Juey Wu
Publikováno v:
Cardiovascular Diabetology, Vol 17, Iss 1, Pp 1-13 (2018)
Abstract Objective Metformin is the standard first-line drug for patients with Type 2 diabetes (T2DM). However, the optimal second-line oral anti-diabetic agent (ADA) remains unclear. We investigated the cardiovascular risk of various ADAs used as ad
Externí odkaz:
https://doaj.org/article/d64a32d9bd86458aa6092136c3acecd2
Autor:
Cheng-Wei Chan, 詹承偉
99
This thesis introduces SIFU, a system that assists Chinese learners in real time with reading the Chinese article. SIFU integrates the strengths of two effective online language learning methods: reading online news and communicating with onl
This thesis introduces SIFU, a system that assists Chinese learners in real time with reading the Chinese article. SIFU integrates the strengths of two effective online language learning methods: reading online news and communicating with onl
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/51781437358925519846
Autor:
Cheng-wei Chan, 詹承偉
95
The solder may be damaged by external force. So it is worthwhile to know the mechanical properties of the solder during alloy design. The aim of this study is to explore the tensile and vibration properties of the solder with changing of Ni a
The solder may be damaged by external force. So it is worthwhile to know the mechanical properties of the solder during alloy design. The aim of this study is to explore the tensile and vibration properties of the solder with changing of Ni a
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/08019315977984805567
Autor:
Cheng-Wei Chan, 詹正維
94
When classify high dimensional data, the sample size is too small cause the singularity and decreasing accuracy. For processing high dimensional data, feature extraction and selection are often using to solve the small sample size problems. T
When classify high dimensional data, the sample size is too small cause the singularity and decreasing accuracy. For processing high dimensional data, feature extraction and selection are often using to solve the small sample size problems. T
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/66374115978729551109
Autor:
Cheng-Wei Chan, Chih-Wei Pai
Publikováno v:
Population Medicine. 5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::647bdc08a54729bbd18332318948a894
https://doi.org/10.18332/popmed/164910
https://doi.org/10.18332/popmed/164910