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Your search keyword '"Yang, Feiying"' showing total 20 results
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20 results on '"Yang, Feiying"'

5. Preventing postoperative moderate- and high-risk pressure injuries with artificial intelligence-powered smart decompression mattress on in middle-aged and elderly patients: a retrospective cohort analysis.

Author

Yang, Feiying, Chen, Huiying, Shan, Yajuan, Che, Liping, Tang, Qi, and Hu, Fanglin

Abstract

Aims/Background Artificial intelligence technology has attained rapid development in recent years. The integration of artificial intelligence applications into pressure reduction mattresses, giving rise to artificial intelligence-powered pressure reduction mattresses, is expected to provide personalised intelligent pressure reduction solutions, through automatic user's data-based adjustment of the patient's local pressure condition to prevent pressure injury. The purpose of this study was to investigate the effectiveness of artificial intelligence-powered smart decompression in the prevention of postoperative medium- and high-risk pressure injury in middle-aged and elderly patients. Methods A total of 400 middle-aged and elderly patients admitted to our hospital from June 2021 to December 2023 were selected as study subjects. Patients were categorised into observation and control groups according to the medical record system. General demographic data of the patients were collected. The propensity score matching method was used to balance the baseline data of the two groups of patients. The incidence, severity, complications and sleep quality in the matched study subjects were also compared. Results After matching, there were 96 patients in the two groups, and the differences in baseline data between the two groups were not statistically significant. Pressure injury and the total incidence of complications in the observation group were significantly lower than those in the control group (p < 0.05). Before treatment, there was no difference in the scores of all aspects of the Richards Campbell Sleep Questionnaire between the two groups (p > 0.05). After treatment, the scores of all aspects of Richards Campbell Sleep Questionnaire in the observation group were significantly lower than those in the control group (p < 0.05). Conclusion The artificial intelligence-powered smart decompression mattress can significantly prevent moderate- and high-risk pressure injury, effectively reducing the incidence of pressure injury and complications in postoperative long-term bedridden patients, alleviating the severity of pressure injury, relieving the pressure on various parts, and improving the sleep quality of patients. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Piperonyl butoxide synergizes the larvicidal activity of Origanum vulgare essential oil and its major constituents against the larvae of Aedes albopictus and Culex pipiens quinquefasciatus

Author

Chen, Junhui, primary, Liu, Yangqing, additional, Ma, Guangqiang, additional, Yang, Feiying, additional, Zhan, Zhigao, additional, Guan, Limei, additional, Kuang, Wendong, additional, Wang, Jinchang, additional, Li, Jianghuai, additional, Han, Fei, additional, and Jin, Liang, additional

Published
2023
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13. Some Progress on Random Matrix Theory (RMT)

Author

Yang, Feiying

Subjects
Nonlinear Sciences::Chaotic Dynamics, Mathematics::Probability, Random Matrix Theory (RMT) GOE GUE GSE STIRLING FORMULA VANDERMONDE DETERMINANT SEMICIRCLE LAW, Mathematics::Operator Algebras, Other Mathematics
Abstract

This is a research report about Random Matrix Theory (RMT), which studies Gaussian Orthogonal Ensemble (GOE), Gaussian Unitary Ensemble (GUE) and Gaussian Symplectic Ensemble (GSE), the purpose is to prove Wigner’s semicircle law.

Published
2021

20. Glucose Oxidase of a Crucifer-Specialized Insect: A Potential Role in Suppressing Plant Defense viaModulating Antagonistic Plant Hormones

Author

Yang, Feiying, Jing, Xiaodong, Dong, Renfu, Zhou, Li, Xu, Xuejiao, Dong, Yuhong, Zhang, Lingling, Zheng, Ling, Lai, Yingfang, Chen, Yusong, Lin, Lianyun, Ma, Xiaoli, You, Minsheng, Chen, Wei, and He, Weiyi

Abstract

Glucose oxidase (GOX) is a representative compound found in most insect saliva that can suppress plant-defensive responses. However, little is known about the origin and role of GOX in the crucifer-specialized pest Plutella xylostella. In this study, we showed obvious regurgitation from the larval gut of P. xylostellaand identified abundant peptides highly similar to known GOX. Three PxGOXgenes were verified with PxGOX2preferentially expressed in the gut. The heterologously expressed PxGOX2 confirmed its function to be a GOX, and it was detected in plant wounds together with the gut regurgitant. Further experiments revealed that PxGOX2 functioned as an effector and may suppress defensive responses in plant through the production of H2O2, which modulates levels of antagonistic salicylic acid and jasmonic acid. However, excessive H2O2in the host plant may be neutralized by peroxidase, thus forming defensive feedback. Our findings provided new insights into understanding the GOX-mediated insect–plant interactions.

Published
2023
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