Shu-Chu Liu

Prof. Dr. Shu-Chu Liu

Department of Management Information Systems, National Pingtung University of Science and Technology, Pingtung 912301, Taiwan
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 August 2003 in The International Journal of Advanced Manufacturing Technology
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Journal Article
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Shu-Chu LiuShu-Chu Liu
Shu-Chu Liu
SLS. B. Lee
S. B. Lee

1 December 2004 in The International Journal of Advanced Manufacturing Technology
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Journal Article
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Shu-Chu LiuShu-Chu Liu
Shu-Chu Liu
CLC.C. Lin
C.C. Lin

31 March 2012 in Expert Systems with Applications
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Journal Article
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Shu-Chu LiuShu-Chu Liu
Shu-Chu Liu
ACAn-Zuo Chen
An-Zuo Chen

8 April 2008 in Journal of Intelligent Manufacturing
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Journal Article
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Shu-Chu LiuShu-Chu Liu
Shu-Chu Liu
CCChih-Hung Chung
Chih-Hung Chung

10 June 2020 in Applied Sciences
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PLPei-Chih Liao
Pei-Chih Liao
YTYI-LUN TSAI
YI-LUN TSAI
YCYao-Chung Chen
Yao-Chung Chen
PWPei-Chi Wang
Pei-Chi Wang
Shu-Chu LiuShu-Chu Liu
Shu-Chu Liu
SCShih-Chu Chen
Shih-Chu Chen
Tilapia (Oreochromis spp.), a prominent warm water food fish, is one of the major fish species grown in the aquaculture industry in south-east Asia. Tilapia can tolerate adverse water quality and other stressors, like diverse salinity and fluctuation of pH value, better than most other commercial aquaculture species. Environmental fluctuations are one of the main factors that affect the outbreak of infectious diseases in cultured tilapia. Cultured tilapia in Taiwan appears to be more susceptible to infections caused by Streptococci during the summer season. The present study emphasizes the Streptococcus spp. infection in tilapia in Taiwan and is the first study on the analysis of the potential impact of climate change on streptococcal infection in cultured tilapia in Asia. The data collected from the treatment and diagnosis system (TDS) of the aquatic animal diseases database from 2006 to 2015 were used to analyze the endemic streptococcal infection and the effect of climatic factors. Based on the results, the factor, average atmospheric pressure, is negatively correlated to streptococcal infection, while the other three, including average temperature, ultraviolet (UV) index, and rainfall, are positively correlated to streptococcal infection. A multivariate logistic regression model with these four factors was also built. When the average temperature is above 27.0 °C, the average atmospheric pressure is lower than 1005.1 hPa, or the UV index is above 7.2, the percentage of cumulated positive farms from all submitted tilapia cases was more than 50%. In addition, within 3 days of rain, rainfall is relevant to the occurrence of Streptococcus in tilapia. Using TDS to alert the occurrence of streptococcal infection in tilapia can be a very useful tool for veterinary aquatic animal inspection stations, and reducing economic losses and labour costs in aquatic agriculture.

1 November 2003 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
Shu-Chu LiuShu-Chu Liu
Shu-Chu Liu