Showing 141 - 146 results of 146 for search '"Fujian province"', query time: 0.04s Refine Results
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    Indoor, outdoor, and personal exposure to PM2.5 and associated health risk in community-dwelling elderly residents in Fuzhou city, 2021: a cross-sectional study by Shuling KANG, Xin LIN, Kan LIN, Baoying LIU, Chuancheng WU, Jianjun XIANG, Jingwen CHEN, Quan ZHOU

    Published 2024-11-01
    “…MethodsA total of 247 residents (≥ 60 years of age, living at the current residence for at least 3 years, without serious respiratory/circulatory disease and without disability) were recruited from a community in Fuzhou city, Fujian province, using random sampling stratified by residential floor. …”
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  3. 143

    Research Reports on Assessment of Handwriting Ability in Children Aged 6-12 Years by Using Smart Handwriting Analysis Recognition Platform by HAN Ping, YANG Wenyi, XIE Yiyang, XIE Qiurong, WANG Jiawei, YANG Caihong, ZHAN Shiqi, YAN Zhaoshan, ZHANG Yu

    Published 2024-06-01
    “…ObjectiveBy computerized analysis of writing ability assessment data, to accurately assess the quality and proficiency of writing among primary school students, and to provide data support for accurate screening and assessment of those with writing difficulties.MethodsA cross-sectional study was conducted to evaluate the writing ability of 1 085 students from grade 1 to grade 6 in the Experimental Primary School Affiliated to Minjiang Teachers College, Fuzhou, Fujian Province, using the smart handwriting analysis recognition platform (SHARP). …”
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    Morphological and phylogenetic analyses reveal four novel species of Distoseptispora (Distoseptisporaceae, Distoseptisporales) from southern China by Ming-Gen Liao, Xing-Xing Luo, Ya-Fen Hu, Rafael F. Castañeda-Ruíz, Zhao-Huan Xu, Jian Ma

    Published 2025-01-01
    “…During our mycological surveys in southern China, numerous strains were isolated from dead branches of unidentified plants in the forest of Jiangxi and Fujian provinces, China. Phylogenetic analyses of ITS, LSU, RPB2, and TEF1 sequence data using maximum-likelihood (ML) and Bayesian inference (BI) methods revealed the systematic placement of several Sporidesmium-like species within Distoseptispora. …”
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