Zobrazeno 1 - 10
of 327
pro vyhledávání: '"ZHANG Xinhe"'
Publikováno v:
Zhejiang dianli, Vol 42, Iss 10, Pp 90-100 (2023)
Given the basic data anomalies and significant redundancy in line loss management within distribution networks， a technique for identifying and correcting abnormal line loss data based on segmented regions is proposed. In view of the redundancy of
Externí odkaz:
https://doaj.org/article/28a1c43720f1442697bf41d738520e36
Autor:
Guan Lin, Zhang Xinhe, Tian Haoyu, Jin Xing, Li Dan, Wang Ningning, Sun Jing, Wang Xue, Zeng Zilu, Li Yiling
Publikováno v:
BMC Pediatrics, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background Non-alcoholic fatty liver disease (NAFLD) is diagnosed increasingly in children and adolescents. We aimed to investigate the prevalence and related influencing factors of NAFLD in school-aged children and adolescents in Shenyang,
Externí odkaz:
https://doaj.org/article/aa46ee50f46b4f548cad7945d3f86dff
Autor:
Du, Jin, Zhang, Xinhe, Shen, Hao, Xian, Xun, Wang, Ganghua, Zhang, Jiawei, Yang, Yuhong, Li, Na, Liu, Jia, Ding, Jie
Lifelong learning in artificial intelligence (AI) aims to mimic the biological brain's ability to continuously learn and retain knowledge, yet it faces challenges such as catastrophic forgetting. Recent neuroscience research suggests that neural acti
Externí odkaz:
http://arxiv.org/abs/2409.13997
Publikováno v:
Medicine, Vol 101, Iss 25, p e29379 (2022)
Abstract. This study aimed to explore aberrantly methylated-differentially expressed genes and related pathways in cholangiocarcinoma (CCA). The mRNA expression data (GSE26566) and methylation profiling data (GSE44965) were collected from the Gene Ex
Externí odkaz:
https://doaj.org/article/02dfec66b86a4d8687bfb40470fe48a4
Publikováno v:
Zhishi guanli luntan, Vol 3, Iss 3, Pp 117-129 (2018)
[Purpose/significance] This paper investigates the status quo of public innovation participation and information demands, it is conducive to modifying social information provision strategy and promoting mass innovation. [Method/process] Based on the
Externí odkaz:
https://doaj.org/article/ab258f198cb74bfaab42edf919c9d00b
While large language models (LLMs) such as ChatGPT and PaLM have demonstrated remarkable performance in various language understanding and generation tasks, their capabilities in complex reasoning and intricate knowledge utilization still fall short
Externí odkaz:
http://arxiv.org/abs/2310.05035
Autor:
Cui, Yixin, Liao, Yucheng, Chen, Yonghui, Zhao, Xu, Zhang, Yi, Wang, Hui, Li, Lian, Zhang, Xinhe, Chen, Kunpan, Jia, Mingzhao, Tian, Jing, Ruan, Xingran, Shi, Yawen, Yang, Pinglin, Chen, Jinghong
Publikováno v:
In Journal of Trace Elements in Medicine and Biology September 2024 85
Autor:
Guo, Yu, Zhang, Xinhe, Dai, Chengna, Liu, Ning, Xu, Ruinian, Wang, Ning, Chen, Biaohua, Hu, Yufeng, Zhou, Teng, Lei, Zhigang, Yu, Gangqiang
Publikováno v:
In Chemical Engineering Science 5 February 2025 302 Part A
Publikováno v:
In Journal of Alloys and Compounds 15 December 2024 1008
Autor:
Zhang, Xinhe, Liu, Ning, Guo, Yu, Fu, Xinran, Li, Yufen, Dai, Chengna, Xu, Ruinian, Wang, Ning, Chen, Biaohua, Yu, Gangqiang
Publikováno v:
In Chemical Engineering Science 15 May 2024 290