Showing 2,281 - 2,300 results of 3,007 for search '"Guangdong"', query time: 0.05s Refine Results
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    A Novel Carbon Price Fluctuation Trend Prediction Method Based on Complex Network and Classification Algorithm by Hua Xu, Minggang Wang

    Published 2021-01-01
    “…Moreover, the forecasting accuracy of the four carbon markets (i.e., Guangdong, Chongqing, Tianjin, and Shenzhen) has improved slightly, but the prediction accuracy of the carbon price trend in Beijing, Shanghai, and Hubei has not improved. …”
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  4. 2284

    The Effect of Cyber-Ostracism on Social Anxiety Among Undergraduates: The Mediating Effects of Rejection Sensitivity and Rumination by Chun Shi, Peizhen Sun, Jiaru Shi, Haosheng Ye, Junyan Tao

    Published 2025-01-01
    “…In order to examine the relationship between cyber-ostracism and social anxiety among undergraduates, as well as to investigate the mechanisms underlying the effects of cyber-ostracism, rejection sensitivity, and rumination on social anxiety, this study recruited 864 undergraduate students from Jiangsu and Guangdong Provinces in China using a cluster sampling method. …”
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    Acquired Vulvar Lymphangioma Following CO2 Laser Treatment for Sebaceous Gland Nevus in a 10-Year-Old Girl: A Case Report by Luo Y, Chen W, Xu D, Chen S, Ma S

    Published 2025-01-01
    “…Yuwu Luo,* Weifeng Chen,* Duanni Xu, Shuting Chen, Shaoyin Ma Guangzhou Dermatology Hospital, Guangzhou, Guangdong, 510095, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shaoyin Ma, Guangzhou Dermatology Hospital, 56 hengfu Road, Guangzhou, 510095, People’s Republic of China, Email msymsb315@163.comAbstract: Acquired vulvar lymphangioma (AVL) is a rare condition characterized by abnormal lymphatic vessels in the vulva. …”
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    Wind Structure of a Subtropical Squall Line in China: Results from Dual-Doppler Radar Data by Haiguang Zhou

    Published 2016-01-01
    “…A subtropical squall line moved from Guangxi to Guangdong province in South China on 23-24 April 2007, which resulted in gale and heavy precipitation. …”
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    Forecast of China’s Carbon Emissions Based on ARIMA Method by Longqi Ning, Lijun Pei, Feng Li

    Published 2021-01-01
    “…In this paper, we first use the software Eviews to make an analysis of randomness on data of carbon emissions in the four representative provinces and city, Beijing, Henan, Guangdong, and Zhejiang, in terms of their carbon emissions data from 1997 to 2017. …”
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