| 1 |
Heterologous synthesis of 4-ethylphenol in engineered Escherichia coli
Zhang Y, Long LK, Ding SJ
Process Biochemistry, 96, 157, 2020 |
| 2 |
Virtual Reaction Condition Optimization based on Machine Learning for a Small Number of Experiments in High-dimensional Continuous and Discrete Variables
Fujinami M, Seino J, Nukazawa T, Ishida S, Iwamoto T, Nakai H
Chemistry Letters, 48(8), 961, 2019 |
| 3 |
Optimization of operating parameters of a polymer exchange membrane electrolyzer
Toghyani S, Fakhradini S, Afshari E, Baniasadi E, Jamalabadi MYA, Shadloo MS
International Journal of Hydrogen Energy, 44(13), 6403, 2019 |
| 4 |
Effects of different extraction methods on the properties and activities of polysaccharides from Medicago sativa L. and extraction condition optimization using response surface methodology
Shang HM, Wu HY, Dong XQ, Shi XY, Wang XS, Tian Y
Process Biochemistry, 82, 179, 2019 |
| 5 |
Forecasting China's electricity consumption using a new grey prediction model
Ding S, Hipel KW, Dang YG
Energy, 149, 314, 2018 |
| 6 |
Synthesis of char-based acidic catalyst for methanolysis of waste cooking oil: An insight into a possible valorization pathway for the solid by-product of gasification
Ahmad J, Rashid U, Patuzzi F, Baratieri M, Taufiq-Yap YH
Energy Conversion and Management, 158, 186, 2018 |
| 7 |
An efficient production of a novel carbohydrate polymer Sphingan WL
Li H, Li J, Zhou WL, Jiao X, Sun YJ, Shen YL, Qian J, Wang JQ, Zhu H
Journal of Chemical Technology and Biotechnology, 93(12), 3472, 2018 |
| 8 |
Multi-objective optimization of p-xylene oxidation process using an improved self-adaptive differential evolution algorithm
Tao LL, Xu B, Hu ZH, Zhong WM
Chinese Journal of Chemical Engineering, 25(8), 983, 2017 |
| 9 |
Morphology-based non-invasive quantitative prediction of the differentiation status of neural stem cells
Fujitani M, Huddin NS, Kawai S, Kanie K, Kiyota Y, Shimizu K, Honda H, Kato R
Journal of Bioscience and Bioengineering, 124(3), 351, 2017 |
| 10 |
Effects of harvesting cell density, medium depth and environmental factors on biomass and lipid productivities of Chlorella vulgaris grown in swine wastewater
Amini H, Wang LJ, Shahbazi A
Chemical Engineering Science, 152, 403, 2016 |
