We studied three typical heteromorphic leaves of Populus euphratica trees growing in the Wuhai region of Inner Mongolia,China,i.e.,lanceolate,broad-ovate and dentate broad-ovate leaves and mainly focused on the change...We studied three typical heteromorphic leaves of Populus euphratica trees growing in the Wuhai region of Inner Mongolia,China,i.e.,lanceolate,broad-ovate and dentate broad-ovate leaves and mainly focused on the changes in chlorophyll fluorescence parameters and free water and bound water content.The results show that the values of Fm（maximal fluorescence yield）,Fv/Fm（maximum photochemical quantum yield of PSII） and Fv/F0（potential quantum efficiency of PSII） of lanceolate leaves were the least on young trees,while these parameters were the least on the ovate leaves of old trees.Compared with young trees,the free water content of heteromorphic leaves of old trees increased significantly,i.e.,by 78.94% in lanceolate leaves and in the leaves of broad-ovate and dentate broad-ovate by 10.99% and 10.60%,respectively.Correlation analysis showed that free water content is significantly related to Fv/Fm and Fv/F0 in young trees,while the relationship of total water content with Fv/Fm and Fv/F0 is positive in old trees.展开更多
目的:分析临床预测模型在糖尿病领域的应用现状,为糖尿病预防相关研究提供方向和参考。方法:以2010-2021年Web of Science数据库中收录的糖尿病临床预测模型相关文献为基础,运用CiteSpace软件分析该领域的文献数量、国家、机构、作者、...目的:分析临床预测模型在糖尿病领域的应用现状,为糖尿病预防相关研究提供方向和参考。方法:以2010-2021年Web of Science数据库中收录的糖尿病临床预测模型相关文献为基础,运用CiteSpace软件分析该领域的文献数量、国家、机构、作者、关键词和共被引文献。结果:糖尿病临床预测模型相关研究文献数量总体呈逐年增长趋势;在文献数量排名前10位的国家中,美国的文献数量和中心性最高,中国文献数量排在第2位但中心性最低,研究机构较为分散;心血管疾病、自我管理和妊娠期糖尿病是2020-2121年的研究热点,糖尿病肾病、低血糖和机器学习是未来临床预测模型的研究趋势。结论:应开发适用于我国糖尿病人群的预测模型,同时加强与英国、美国等国研究机构的合作。展开更多
基金supported by the National Natural Science Foundation of China (Grant No. 30671655)
文摘We studied three typical heteromorphic leaves of Populus euphratica trees growing in the Wuhai region of Inner Mongolia,China,i.e.,lanceolate,broad-ovate and dentate broad-ovate leaves and mainly focused on the changes in chlorophyll fluorescence parameters and free water and bound water content.The results show that the values of Fm（maximal fluorescence yield）,Fv/Fm（maximum photochemical quantum yield of PSII） and Fv/F0（potential quantum efficiency of PSII） of lanceolate leaves were the least on young trees,while these parameters were the least on the ovate leaves of old trees.Compared with young trees,the free water content of heteromorphic leaves of old trees increased significantly,i.e.,by 78.94% in lanceolate leaves and in the leaves of broad-ovate and dentate broad-ovate by 10.99% and 10.60%,respectively.Correlation analysis showed that free water content is significantly related to Fv/Fm and Fv/F0 in young trees,while the relationship of total water content with Fv/Fm and Fv/F0 is positive in old trees.
文摘目的:分析临床预测模型在糖尿病领域的应用现状,为糖尿病预防相关研究提供方向和参考。方法:以2010-2021年Web of Science数据库中收录的糖尿病临床预测模型相关文献为基础,运用CiteSpace软件分析该领域的文献数量、国家、机构、作者、关键词和共被引文献。结果:糖尿病临床预测模型相关研究文献数量总体呈逐年增长趋势;在文献数量排名前10位的国家中,美国的文献数量和中心性最高,中国文献数量排在第2位但中心性最低,研究机构较为分散;心血管疾病、自我管理和妊娠期糖尿病是2020-2121年的研究热点,糖尿病肾病、低血糖和机器学习是未来临床预测模型的研究趋势。结论:应开发适用于我国糖尿病人群的预测模型,同时加强与英国、美国等国研究机构的合作。
