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Zhengying Liu

As seen in: arXiv, Frontiers, MDPI
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Articles

Comprehensive verification and correlation analysis of all factors of line loss data based on machine learning

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By Weiwu Li, Zhengying Liu, Xinying Wang, Tianshou Li
| Frontiers
Abstract Introduction: A comprehensive examination is conducted on the distinctive loss patterns within a 10 kV distribution network, and the intelligent detection of abnormal line loss is realized by combining machine learning method. Methods: The actual line loss data are first preprocessed. The K-means method is enhanced by integrating it with the Canopy algorithm for grouping line loss data. A genetic algorithm (GA)-optimized RBF neural network is then developed for line loss anomaly diagnosis.
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Mechanism of N6-methyladenosine (m6A)-mediated upregulation of LINC00958 in the growth of cervical cancer

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By Yuting Li, Zhengying Liu, Hongling Jin
| Frontiers
Abstract Objective: Cervical cancer (CC) remains a prominent contributor to cancer mortality amongst women. Long non-coding RNAs (LncRNAs) participate in CC progression. This study probed into the potential mechanism of LINC00958 in CC growth. Materials and methods: LINC00958 expression in CC tissues and cells was determined. The correlation between LINC00958 expression and CC prognosis was analyzed.
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Transgenerational Response of Germline Nuclear Hormone Receptor Genes to Nanoplastics at Predicted Environmental Doses in Caenorhabditis elegans

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By Zhengying Liu, Yuxing Wang, Qian Bian, Dayong Wang
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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