Zobrazeno 1 - 10
of 209
pro vyhledávání: '"Xinying XU"'
Publikováno v:
SAGE Open, Vol 14 (2024)
This study focuses on the different impacts of platform training and learning by doing on gig workers’ platform income. Based on survey data of China’s delivery riders on the platform in 2020, via quantitative methods combined with the case study
Externí odkaz:
https://doaj.org/article/3e9e9d2759984422a39cba62c419d74a
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionThis study explores the influence of artificial intelligence (A.I.) applications on the job performance of healthcare providers, based on data from standardised-trained residents in the First People’s Hospital of Yunnan Province in Chin
Externí odkaz:
https://doaj.org/article/d126e8a225fa4c2b91c654e608fae52c
Autor:
Maolin Liu, Pengxiang Huang, Xinying Xu, Zishan Chen, Jinman Zhuang, Yuhang Liu, Shuyan Yang, Xiaoyang Chen, Fei He
Publikováno v:
Tobacco Induced Diseases, Vol 22, Iss March, Pp 1-9 (2024)
Introduction Smoking prevalence is high in China, and healthcare workers are important for tobacco control. This study aimed to determine the smoking status, cognition of tobacco hazards, and smoking cessation-related knowledge among respiratory heal
Externí odkaz:
https://doaj.org/article/47cfdf422a454a1c8dbf55c3d935f106
Autor:
Zishan Chen, Jinman Zhuang, Maolin Liu, Xinying Xu, Yuhang Liu, Shuyan Yang, Jinbao Xie, Nanlong Lin, Fancai Lai, Fei He
Publikováno v:
BMC Pulmonary Medicine, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Chlamydia pneumoniae (Cpn) IgG and IgA has been strongly linked to lung cancer, but its impact on patients' quality of life remains unclear. Our objective was to investigate the relationship between pre-treatment Cpn IgG and IgA a
Externí odkaz:
https://doaj.org/article/c0149ecbebe04fd486d696112a049183
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 54, Iss 5, Pp 869-876 (2023)
Purposes Collaborative Visual Simultaneous Localization and Mapping (CVSLAM) has attracted more and more researchers’ attention in the field of robotics owing to its low cost of required sensors, the ability to acquire rich environmental informatio
Externí odkaz:
https://doaj.org/article/4f1c9cc0b63b472a82ce9573dc9f970a
Publikováno v:
World Journal of Surgical Oncology, Vol 21, Iss 1, Pp 1-11 (2023)
Abstract Background Cancer stem cells may be the source of cancer-causing mutant cells and are closely related to the prognosis of cancer. Our study aimed to investigate the potential association between single-nucleotide polymorphisms (SNPs) of canc
Externí odkaz:
https://doaj.org/article/18d1f9170d5a435cb25917f10df99807
Autor:
Jinman Zhuang, Zhongwu Chen, Zishan Chen, Jin Chen, Maolin Liu, Xinying Xu, Yuhang Liu, Shuyan Yang, Zhijian Hu, Fei He
Publikováno v:
Respiratory Research, Vol 23, Iss 1, Pp 1-16 (2022)
Abstract Background Although immunotherapy has shown clinical activity in lung adenocarcinoma (LUAD), LUAD prognosis has been a perplexing problem. We aimed to construct an immune-related lncRNA pairs (IRLPs) score for LUAD and identify what immunosu
Externí odkaz:
https://doaj.org/article/eb7d45f0e14a41868d1a2e9875f1465f
Publikováno v:
IEEE Access, Vol 10, Pp 129911-129924 (2022)
In printed circuit board (PCB) defect detection, it is difficult to collect defect samples, and the detection effect is poor due to the lack of data. On the basis of the few-shot learning method, a few-shot PCB defect detection model is proposed. Thi
Externí odkaz:
https://doaj.org/article/5456fed2772c4886ba7d72913ad12d15
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 52, Iss 6, Pp 894-906 (2021)
According to the different ways of image-level label location inference, the weakly-supervised image semantic segmentation methods with image-level labels were divided into superpixel-based methods and classification-network-prior based methods. Then
Externí odkaz:
https://doaj.org/article/c15eabdf33dc4aa6971f1b47dffeca07
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 52, Iss 5, Pp 754-763 (2021)
A Faster R-CNN steel surface defect detection algorithm based on feature fusion and cascade detection network was proposed to solve the problem of low detection accuracy caused by reduced structure information when Deep Learning algorithm was used to
Externí odkaz:
https://doaj.org/article/5a9adf3d2c964545889f00989451ddd8