Showing 281 - 300 results of 374 for search '"Guangdong Province"', query time: 0.09s Refine Results
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    The impact of work–family conflict on early childhood teachers’ occupational well-being: the chain mediating role of psychological empowerment and job crafting by Liqun Wang, Tianqi Qiao, Xinxin Wang, Chen Wang, Pingzhi Ye

    Published 2025-01-01
    “…Therefore, this study aims to investigate the relationship between work–family conflict and the occupational well-being of early childhood teachers and the mediating role of psychological empowerment and job crafting.MethodsThis study conducted a survey involving 1,200 early childhood teachers from Guangdong Province, China, using personal information forms and four scales. …”
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  11. 291

    Strengths use and thriving at work among nurses: a latent profile and mediation analysis by Jing Wu, Zhenrong Shen, Zidan Ouyang, Yuxuan Xiang, Ru Ding, Yuan Liao, Li Chen

    Published 2025-01-01
    “…Methods A convenience sample of 568 clinical nurses from two tertiary hospitals in Guangzhou City, Guangdong Province, China, was recruited between January and March 2024. …”
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  12. 292

    A SYBR green I-based multiplex real-time PCR for simultaneous detection of pseudorabies virus, porcine circovirus 3 and porcine parvovirus by Lihua Cao, Wenke Lv, Anqi Li, Lulu Yang, Feng Zhou, Feng Wen, Sheng Yuan, Shujian Huang, Zhili Li, Jinyue Guo

    Published 2025-01-01
    “…In this research, 81 clinical samples from pig farms in nine different regions of Guangdong Province were used to evaluate this new method. …”
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    Comparison and Impact Factor Analysis of Ground PM2.5 Retrieved by Aqua and Himawari-8 Satellite Products in Guangdong, China by Tingyuan Li, Xuejiao Deng, Jingyang Chen, Jie Xu, Jin Shen

    Published 2023-01-01
    “…The data from both satellites were consistent with ground-based measurements (R ≥ 0.65 and reaching 0.96 for the annual mean), indicating that the retrieved data could characterize the spatial and temporal variations in ground PM2.5 concentrations in Guangdong Province. The two satellites had similar performances for the annual mean, dry season mean, and hourly data; however, H8 performed better than Aqua for the wet season and monthly averages. …”
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    Flash flood simulation based on distributed hydrological model in future scenarios by Qi Liu, Nan Zhang, Lingling Wang, Kunxia Yu, Jiayi Wu, Jingqi Wang, Meihong Ma, Meihong Ma

    Published 2025-01-01
    “…Therefore, this study focuses on the Daxi River Basin in Guangdong Province. First, CMIP6 precipitation data is utilized to analyze the future precipitation variations on interannual and monthly scales. …”
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