| 1 |
Optimization of Cephalosporin C Acylase Expression in Escherichia coli by High-Throughput Screening a Constitutive Promoter Mutant library
Sun HX, Liu TJ, Luo H, Nie ZH, Chang YH, Yu HM, Shen ZY
Applied Biochemistry and Biotechnology, 193(4), 1056, 2021 |
| 2 |
One-step purification and immobilization of recombinant proteins using SpyTag/SpyCatcher chemistry
Tian JW, Jia RQ, Wenge D, Sun HX, Wang Y, Chang YH, Luo H
Biotechnology Letters, 43(5), 1075, 2021 |
| 3 |
Al2O3-passivated TiO2 nanorods for solid-liquid heterojunction ultraviolet photodetectors
Ho YR, Chang YH, Lin CH, Ou SL, Huang JJ
Journal of Materials Science, 56(10), 6052, 2021 |
| 4 |
High-Throughput Screening of T7 Promoter Mutants for Soluble Expression of Cephalosporin C Acylase in E. coli
Nie ZH, Luo H, Li JF, Sun HX, Xiao Y, Jia RQ, Liu TJ, Chang YH, Yu HM, Shen ZY
Applied Biochemistry and Biotechnology, 190(1), 293, 2020 |
| 5 |
CO2-Responsive Water-Soluble Conjugated Polymers for In Vitro and In Vivo Biological Imaging
Cheng CC, Lai YC, Shieh YT, Chang YH, Lee AW, Chen JK, Lee DJ, Lai JY
Biomacromolecules, 21(12), 5282, 2020 |
| 6 |
Genome-Based Reclassification ofFusobacterium nucleatumSubspecies at the Species Level (vol 74, pg 1137, 2017)
Kook JK, Park SN, Lim YK, Cho E, Jo E, Roh H, Shin Y, Paek J, Kim HS, Kim H, Shin JH, Chang YH
Current Microbiology, 77(11), 3807, 2020 |
| 7 |
Establishing a rapid cooling complex mold design for the quality improvement of microcellular injection molding
Chang YH, Chiu MC, Chen SC, Chang CW, Tseng CY
Polymer Engineering and Science, 60(12), 3072, 2020 |
| 8 |
The investigation onPVTcontrol method establishment for scientific injection molding parameter setting and its quality control
Chang YH, Wei TH, Chen SC, Lou YF
Polymer Engineering and Science, 60(11), 2895, 2020 |
| 9 |
SpyTag/SpyCatcher cyclization and covalent immobilization in enhancing cephalosporin C acylase stability
Wang Y, Chang YH, Jia RQ, Sun HX, Tian JW, Luo H, Yu HM, Shen ZY
Process Biochemistry, 95, 260, 2020 |
| 10 |
Intelligent fault diagnosis of Wind Turbines via a Deep Learning Network Using Parallel Convolution Layers with Multi-Scale Kernels
Chang YH, Chen JL, Qu C, Pan TY
Renewable Energy, 153, 205, 2020 |
