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Chih-Hsiang Chang

Showing results (1-10 of 258) with videos related to

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Adolescence|January 31, 2008
The effect of physical attractiveness of models on advertising effectiveness for male and female adolescentsChia-Ching Tsai, Chih-Hsiang Chang
Mass Spectrometry (Tokyo, Japan)|February 8, 2021
Effect of Phosphorylation on the Collision Cross Sections of Peptide Ions in Ion Mobility SpectrometryKosuke Ogata, Chih-Hsiang Chang, Yasushi Ishihama
Iscience|April 2, 2021
Exploring the landscape of ectodomain shedding by quantitative protein terminomicsKazuya Tsumagari, Chih-Hsiang Chang, Yasushi Ishihama
STAR Protocols|August 11, 2021
A protocol for analyzing the protein terminome of human cancer cell line culture supernatantsKazuya Tsumagari, Chih-Hsiang Chang, Yasushi Ishihama
Nephrology (Carlton, Vic.)|October 10, 2018
Biomarkers for acute cardiorenal syndromePei-Chun Fan, Chih-Hsiang Chang, Yung-Chang Chen
Molecular & Cellular Proteomics : MCP|January 31, 2021
Isolation of Acetylated and Unmodified Protein N-Terminal Peptides by Strong Cation Exchange Chromatographic Separation of TrypN-Digested PeptidesChih-Hsiang Chang, Hsin-Yi Chang, Juri Rappsilber, et al.
Critical Care (London, England)|May 9, 2020
Furosemide stress test as a predictive marker of acute kidney injury progression or renal replacement therapy: a systemic review and meta-analysisJia-Jin Chen, Chih-Hsiang Chang, Yen-Ta Huang, et al.
Methods in Molecular Biology (Clifton, N.J.)|February 6, 2016
Development of a Targeted Gene-Delivery System Using Escherichia coliChung-Jen Chiang, Chih-Hsiang Chang, Yun-Peng Chao, et al.
Healthcare (Basel, Switzerland)|December 24, 2021
Does Artificial Intelligence Make Clinical Decision Better? A Review of Artificial Intelligence and Machine Learning in Acute Kidney Injury PredictionTao Han Lee, Jia-Jin Chen, Chi-Tung Cheng, et al.
Frontiers in Psychology|October 19, 2020
How Can Manufacturers Promote Green Innovation in Food Supply Chain? Cost Sharing Strategy for Supplier MotivationJianhong He, Yaling Lei, Xiao Fu, et al.
Pageof 26

Showing results (1-10 of 258) with videos related to

Sort By:
Pageof 26
Adolescence|January 31, 2008
The effect of physical attractiveness of models on advertising effectiveness for male and female adolescentsChia-Ching Tsai, Chih-Hsiang Chang
Mass Spectrometry (Tokyo, Japan)|February 8, 2021
Effect of Phosphorylation on the Collision Cross Sections of Peptide Ions in Ion Mobility SpectrometryKosuke Ogata, Chih-Hsiang Chang, Yasushi Ishihama
Iscience|April 2, 2021
Exploring the landscape of ectodomain shedding by quantitative protein terminomicsKazuya Tsumagari, Chih-Hsiang Chang, Yasushi Ishihama
STAR Protocols|August 11, 2021
A protocol for analyzing the protein terminome of human cancer cell line culture supernatantsKazuya Tsumagari, Chih-Hsiang Chang, Yasushi Ishihama
Nephrology (Carlton, Vic.)|October 10, 2018
Biomarkers for acute cardiorenal syndromePei-Chun Fan, Chih-Hsiang Chang, Yung-Chang Chen
Molecular & Cellular Proteomics : MCP|January 31, 2021
Isolation of Acetylated and Unmodified Protein N-Terminal Peptides by Strong Cation Exchange Chromatographic Separation of TrypN-Digested PeptidesChih-Hsiang Chang, Hsin-Yi Chang, Juri Rappsilber, et al.
Critical Care (London, England)|May 9, 2020
Furosemide stress test as a predictive marker of acute kidney injury progression or renal replacement therapy: a systemic review and meta-analysisJia-Jin Chen, Chih-Hsiang Chang, Yen-Ta Huang, et al.
Methods in Molecular Biology (Clifton, N.J.)|February 6, 2016
Development of a Targeted Gene-Delivery System Using Escherichia coliChung-Jen Chiang, Chih-Hsiang Chang, Yun-Peng Chao, et al.
Healthcare (Basel, Switzerland)|December 24, 2021
Does Artificial Intelligence Make Clinical Decision Better? A Review of Artificial Intelligence and Machine Learning in Acute Kidney Injury PredictionTao Han Lee, Jia-Jin Chen, Chi-Tung Cheng, et al.
Frontiers in Psychology|October 19, 2020
How Can Manufacturers Promote Green Innovation in Food Supply Chain? Cost Sharing Strategy for Supplier MotivationJianhong He, Yaling Lei, Xiao Fu, et al.
Pageof 26