Jiaxuan Li

Oct 22, 2024 | onlinelibrary.wiley.com | Ting Wu |Yun Liu |Sihai Zhou |Jiaxuan Li

Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description smll202406053-sup-0001-SuppMat.docx7 MB Supporting Information References 1a) , , , , Trends Microbiol. 2022, 30, 1232; b) , , Trac Trends Analyt. Chem. 2021, 144, 116424. 2, , , , , , , , , , , , , , , , mBio 2024, 15, e0247723. 3, , , , , , BMC Infect. Dis. 2024, 24, 94. 4, , , Travel Med. Infect. Di 2022, 50, 102459. 5a) , , Trac. Trend Anal.

Sep 25, 2024 | onlinelibrary.wiley.com | Xiaoyan Zhu |Yu Zhang |Jiaxuan Li |Jiayin Wang

REFERENCES 1, , . Sequence-aware recommender systems. ACM Comput Surv. 2018; 51(4): 1-36. 2, , , . Deep learning based recommender system: a survey and new perspectives. ACM Comput Surv. 2019; 52(1): 1-38. 3, , , et al. Deep interest evolution network for click-through rate prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 33. 2019;5941-5948. 4, , , , , . Architecture and operation adaptive network for online recommendations.

Aug 24, 2024 | onlinelibrary.wiley.com | Jiaxuan Li |Xiaoyan Yang |Hao Liu |Libo Chen

REFERENCES 1, , , et al. Wind, wave and earthquake responses of offshore wind turbine on monopile foundation in clay. Soil Dyn Earthq Eng. 2018; 113: 47-57. 2. Pile driving analysis by the wave equation. J Soil Mech Found Div. 1960; 86(4): 35-64. 3, . An improved soil model for one dimensional pile driving analysis. Paper presented at: Proceedings of the 3rd International Conference on Numerical Methods in Offshore Piling; 1986; Nantes, France, 21-22. 4, .

May 31, 2024 | scirp.org | Jiaxuan Li |Feng Jiang |Longhai Zhang

Due to the dynamic stiffness characteristics of human joints, it is easy to cause impact and disturbance on normal movements during exoskeleton assistance. This not only brings strict requirements for exoskeleton control design, but also makes it difficult to improve assistive level.

Jun 8, 2023 | onlinelibrary.wiley.com | Nan Sun |Xuan Leng |Jiaxuan Li |Yunqing Tao

The rapid growth of leverage is one of the risk factors for China's economy. To explore social credit's impact on corporate leverage's growth rate, we conduct the staggered difference-in-difference (DID) approach based on a quasi-natural experiment of the social credit system reform. Our findings indicate that social credit significantly suppresses the growth rate of corporate leverage, which remains robust after some robustness checks.