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Zhang, Yuquan W. (author), Geng, Yong (author), Zhang, Bin (author), Yang, Shaohua (author), Izikowitz, David V. (author), Yin, Haitao (author), Wu, F. (author), Yu, Haishan (author), Liu, Huiwen (author), Zhou, Weiduo (author)
Very few developed economies have a full free trade agreement (FTA) with China. This study employs one GTAP model and builds an extended environmental multi-region input–output model to investigate a hypothetical China-UK FTA, concerning embodied industrial emissions of SO2, PM2.5, NOX, and NH3. The economic sectors are also classified based on...
journal article 2022
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Wu, Xintong (author), Huang, Haoliang (author), Liu, Hao (author), Hu, Jie (author), Wei, Jiangxiong (author), Jiang, Zhengwu (author), Ye, G. (author), Yu, Qijun (author), Lothenbach, Barbara (author)
New self-healing agents that can chemically bind seawater ions invading cracked cementitious materials were proposed. The potential of self-healing and binding of seawater ions were investigated by thermodynamic modeling. It was found that CaO-NaAlO<sub>2</sub> and CaO-metakaolin agents can have Cl<sup>−</sup>, SO<sub>4</sub><sup>2−</sup> and...
journal article 2021
document
Wu, Jibing (author), Yu, Lianfei (author), Zhang, Qun (author), Shi, P. (author), Liu, Lihua (author), Deng, Su (author), Huang, Hongbin (author)
The heterogeneous information networks are omnipresent in real-world applications, which consist of multiple types of objects with various rich semantic meaningful links among them. Community discovery is an effective method to extract the hidden structures in networks. Usually, heterogeneous information networks are time-evolving, whose objects...
journal article 2018