Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Ying Chieh Huang"'
Publikováno v:
Pediatrics and Neonatology, Vol 62, Iss 4, Pp 458-459 (2021)
Externí odkaz:
https://doaj.org/article/f000feec0fd94e44bb530ade37edb3fc
Autor:
Ying Chieh Huang, 黃盈傑
99
The purpose of this study was to explore the career development of College Student-Athletes, including the status, needs and influencing factors on their career development. Qualitative research method was utilized for a more in depth underst
The purpose of this study was to explore the career development of College Student-Athletes, including the status, needs and influencing factors on their career development. Qualitative research method was utilized for a more in depth underst
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/91245154683969533732
Autor:
Chia-Kwung Fan, Ting-Wu Chuang, Ying-Chieh Huang, Ai-Wen Yin, Chia-Mei Chou, Yu-Ting Hsu, Ramson Kios, Shao-Lun Hsu, Ying-Ting Wang, Mai-Szu Wu, Jia-Wei Lin, Kennar Briand, Chia-Ying Tu
Publikováno v:
BMC Infectious Diseases, Vol 19, Iss 1, Pp 1-7 (2019)
Abstract Background Enterobius vermicularis (pinworm) is one of the most common human parasitic helminths, and children are the most susceptible group. Some behavioral and environmental factors may facilitate pinworm infection. In the Republic of the
Externí odkaz:
https://doaj.org/article/34004404a08945d3824485400cab2a29
Autor:
Vincent P. Gyang, Ting-Wu Chuang, Chien-Wei Liao, Yueh-Lun Lee, Olaoluwa P. Akinwale, Akwaowo Orok, Olusola Ajibaye, Ajayi J. Babasola, Po-Ching Cheng, Chia-Mei Chou, Ying-Chieh Huang, Pasaiko Sonko, Chia-Kwung Fan
Publikováno v:
Journal of Microbiology, Immunology and Infection, Vol 52, Iss 1, Pp 106-113 (2019)
Background/purpose: Intestinal parasitic infections (IPIs) among school aged children (SAC) in Nigeria remains endemic, hence the need for regular surveillance to attract the attention of policy makers. This cross-sectional study investigated the cur
Externí odkaz:
https://doaj.org/article/61f7a63c9dd149c4bdb2a3cb2b5655f0
Publikováno v:
Parasites & Vectors, Vol 10, Iss 1, Pp 1-14 (2017)
Abstract Background Toxocariasis is a worldwide zoonotic parasitic disease mainly caused by Toxocara canis. Humans can be infected by accidental ingestion of T. canis embryonated ovum-contaminated food, water, or encapsulated larvae in paratenic host
Externí odkaz:
https://doaj.org/article/c8c9f34c970f43c9937aebd7a353ce31
Autor:
Yi-Da Wu, Ruey-Kai Sheu, Chih-Wei Chung, Yen-Ching Wu, Chiao-Chi Ou, Chien-Wen Hsiao, Huang-Chen Chang, Ying-Chieh Huang, Yi-Ming Chen, Win-Tsung Lo, Lun-Chi Chen, Chien-Chung Huang, Tsu-Yi Hsieh, Wen-Nan Huang, Tsai-Hung Yen, Yun-Wen Chen, Chia-Yu Chen, Yi-Hsing Chen
Publikováno v:
Diagnostics, Vol 11, Iss 4, p 642 (2021)
Background: Antinuclear antibody pattern recognition is vital for autoimmune disease diagnosis but labor-intensive for manual interpretation. To develop an automated pattern recognition system, we established machine learning models based on the Inte
Externí odkaz:
https://doaj.org/article/7ffbf93dd37b4c9690001059a08b2ba8
Publikováno v:
Annals of Emergency Medicine
Autor:
Kai-Chun Chang, Chia-Chieh Chang, Ying-Chieh Huang, Min-Hua Chen, Feng-Huei Lin, Chun-Pin Lin
Publikováno v:
PLoS ONE, Vol 9, Iss 9, p e106754 (2014)
BACKGROUND/PURPOSE: Mineral Trioxide Aggregate (MTA) was widely used as a root-end filling material and for vital pulp therapy. A significant disadvantage to MTA is the prolonged setting time has limited the application in endodontic treatments. This
Externí odkaz:
https://doaj.org/article/53a4012b39bc4feab96b4b2cdc352bcd
Autor:
Yen Ching Wu, Wen Nan Huang, Ruey-Kai Sheu, Ying Chieh Huang, Chia Yu Chen, Chien-Chung Huang, Yi Hsing Chen, Tsu-Yi Hsieh, Tsai Hung Yen, Chien Wen Hsiao, Win Tsung Lo, Huang Chen Chang, Yun Wen Chen, Yi Da Wu, Chih Wei Chung, Lun-Chi Chen, Chiao Chi Ou, Yi-Ming Chen
Publikováno v:
Diagnostics
Volume 11
Issue 4
Diagnostics, Vol 11, Iss 642, p 642 (2021)
Volume 11
Issue 4
Diagnostics, Vol 11, Iss 642, p 642 (2021)
Background: Antinuclear antibody pattern recognition is vital for autoimmune disease diagnosis but labor-intensive for manual interpretation. To develop an automated pattern recognition system, we established machine learning models based on the Inte
Publikováno v:
J Acute Med
BACKGROUND: Computed tomography (CT) use in injured patients has continuously increased in the past decades. We designed and undertook this study to evaluate the frequency, and potential risks of incidental findings (IFs), and how they were processed