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Zhao, Lei (author), Zhou, Sifan (author), Zhong, Jinglin (author), Ao, Yibin (author), Wang, Yan (author), Wang, T. (author), Chen, Yunfeng (author)
Earthquakes occur frequently in rural areas of Sichuan, China, causing huge damage and high mortality. The built environment plays a significant role in providing residents with safe and resilient settlements in such areas. There is yet little research on how rural families in developing countries cope with geological disasters like earthquakes,...
journal article 2022
document
Ao, Yibin (author), Tan, Ling (author), Feng, Qiqi (author), Tan, Liyao (author), Li, Hongfu (author), Wang, Yan (author), Wang, T. (author), Chen, Yunfeng (author)
The global climate change has resulted in huge flood damages, which seriously hinders the sustainable development of rural economy and society and causes famers’ livelihood problems. In flood-prone areas, it is imperative to actively study short and long-term strategies and solve farmers’ livelihood problems accordingly. Following the...
journal article 2022
document
Li, Haimei (author), Zhang, Yuting (author), Ao, Yibin (author), Wang, Yan (author), Wang, T. (author), Chen, Yunfeng (author)
The rapid urbanization in China urges scholars to investigate the impacts of built environment on the level of travel satisfaction of rural residents to improve their quality of life and make planning exercises more human-centric. This study samples six villages out of the 25 top rural areas in Chengdu, Sichuan, China, as the research object and...
journal article 2022
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Wang, Bo (author), Han, Shan (author), Ao, Yibin (author), Liao, Fangwei (author), Wang, T. (author), Chen, Yunfeng (author)
Media has paid more attention recently on environmental issues caused by construction companies which imposes public opinion pressure on construction companies and could potentially impact their decision-making processes for green innovations. However, research on the relationship between public opinions pressure and construction company green...
journal article 2022
document
Ao, Yibin (author), Feng, Qiqi (author), Zhou, Zhongli (author), Chen, Yunfeng (author), Wang, T. (author)
The rural three-tier healthcare system is an essential part of the Chinese healthcare service system. To ensure rural residents’ equal access to such healthcare services, it is necessary to examine the current status of the healthcare system in rural China and formulate corresponding improvement suggestions. This study therefore collects the...
journal article 2022
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Li, Mingyang (author), Ao, Yibin (author), Deng, Shulin (author), Peng, Panyu (author), Chen, Shuangzhou (author), Wang, T. (author), Martek, Igor (author), Bahmani, Homa (author)
Under circumstances of pervasive global aging combined with weakened traditional family elder care, an incremental demand for institutional elder care is generated. This has led to a surge in research regarding institutional elder care. Rural residents’ institutional elder care is receiving more attention as a major theme in social sciences and...
journal article 2022
document
Ao, Yibin (author), Zhong, Jinglin (author), Zhang, Zijun (author), Han, Lili (author), Wang, Yan (author), Chen, Yunfeng (author), Wang, T. (author)
Residents’ satisfaction with post-disaster reconstruction in earthquake-stricken areas directly affects their quality of life, which cannot be ignored in post-disaster reconstruction. More than 10 years after the Wenchuan earthquake, we took ten randomly selected villages in the five areas hardest-hit by the Wenchuan earthquake as research...
journal article 2022
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Ji, Y. (author), Fu, Xiaoqian (author), Ding, Feng (author), Xu, Yongtao (author), He, Yang (author), Ao, Min (author), Xiao, Fulai (author), Chen, Dihao (author), Dey, P. (author), Qin, Wentao (author), Xiao, Kui (author), Ren, Jingli (author), Kong, Decheng (author), Li, Xiaogang (author), Dong, Chaofang (author)
Efficiently designing lightweight alloys with combined high corrosion resistance and mechanical properties remains an enduring topic in materials engineering. Due to the inadequate accuracy of conventional stress-strain machine learning (ML) models caused by corrosion factors, a novel reinforcement self-learning ML algorithm combined with...
journal article 2024
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