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5篇 您的检索式:作者名="WENG YongLing"
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1Mapping wetland changes in China between 1978 and 2008显示文摘Four wetland maps for all China have been produced,based on Landsat and CBERS-02B remote sensing data between 1978 and 2008 (1978,1990,2000 and 2008).These maps were mainly developed by manual interpretation and validated by substantial field investigation in 2009.Based on these maps,we analyzed the 2008 wetland distribution in China and discussed wetland changes and their drivers over the past 30 years.(i) There were about 324097 km 2 of wetlands in 2008,for which inland marshes or swamps were the most common wetland type (35%),with lakes (26%) second.Most of the wetlands were in Heilongjiang,Inner Mongolia,Qinghai and Tibet,occupying about 55% of the national wetland area.(ii) From 1978 to 2008,China's wetland area continually and significantly decreased,by about 33% based on changes in the wetland map.This was in sharp contrast to the increase in artificial wetlands,which increased by about 122%.Inland marshes accounted for the main loss of total wetlands from 1978 to 2000.From 2000 through 2008,riverine and lacustrine wetlands constituted the main wetland loss.Fortunately however,the rate of wetland loss decreased from 5523 to 831 km 2 /a.(iii) The change ratio of lost natural wetlands (including inland and coastal wetlands) to non-wetlands has decreased slightly over the past 30 years.From 1978 to 1990,nearly all natural wetlands (98%) lost were transformed into non-wetlands.However,the ratio declined to 86% from 1990 to 2000,and to 77% from 2000 to 2008.(iv) All Chinese provinces were divided into three groups according to patterns of wetland changes,which could relate to the driving forces of such changes.Tibet was completely different from other provinces,as it was one representative example in which there was a net wetland increase,because of global warming and decreased human activity since 1990.Increased economic development caused considerable wetland loss in most eastern provinces,and artificial wetlands increased.NIU ZhenGuo ZHANG HaiYing WANG XianWei YAO WenBo ZHOU DeMin ZHAO KuiYi ZHAO Hui LI NaNa HUANG HuaBing LI CongCong YANG Jun LIU CaiXia LIU Shuang WANG Lin LI Zhan YANG ZhenZhong QIAO Fei ZHENG YaoMin CHEN YanLei SHENG YongWei GAO XiaoHong ZHU WeiHong WANG WenQing WANG Hong WENG YongLing ZHUANG DaFang LIU JiYuan LUO ZhiCai CHENG Xiao GUO ZiQi GONG Peng 2012Chinese Science Bulletin2012,57,22:51
2Reflectance spectroscopy for the assessment of soil salt content in soils of the Yellow River Delta of China显示文摘Yongling Weng Peng Gong Zhiliang Zhu 2008International Journal of Remote Sensing2008,,19:1
3Reflectance spectroscopy for the assessment of soil salt content in soils of the Yellow River delta of China显示文摘Weng Yongling Gong Peng Zhu Zhiliang 2008International Journal of Remote Sensing2008,29,10:1
4Reflectance spectroscopy for the assessment of soil salt content in soils of the Yellow River Delta of China显示文摘Weng Yongling Gong Peng Zhu Zhaoliang 2008International Journal of Remote Sensing2008,29,19:1
5Method for the extraction of circulating nucleic acids based on MOF reveals cell-free RNA signatures in liver cancer显示文摘Cell-free RNA(cf RNA) allows assessment of health, status, and phenotype of a variety of human organs and is a potential biomarker to non-invasively diagnose numerous diseases. Nevertheless, there is a lack of highly efficient and bias-free cf RNA isolation technologies due to the low abundance and instability of cf RNA.Here, we developed a reproducible and high-efficiency isolation technology for different types of cell-free nucleic acids(containing cf RNA and viral RNA) in serum/plasma based on the inclusion of nucleic acids by metal-organic framework(MOF) materials, which greatly improved the isolation efficiency and was able to preserve RNA integrity compared with the most widely used research kit method. Importantly, the quality of cf RNA extracted by the MOF method is about 10-fold that of the kit method, and the MOF method isolates more than three times as many different RNA types as the kit method. The whole transcriptome mapping characteristics of cf RNA in serum from patients with liver cancer was described and a cf RNA signature with six cf RNAs was identified to diagnose liver cancer with high diagnostic efficiency(area under curve = 0.905 in the independent validation cohort) using this MOF method. Thus, this new MOF isolation technique will advance the field of liquid biopsy, with the potential to diagnose liver cancer.Yuqing Sun Haixin Yu Shaoqing Han Ruoxi Ran Ying Yang Yongling Tang Yuhao Wang Wenhao Zhang Heng Tang Boqiao Fu Boshi Fu Xiaocheng Weng Song-Mei Liu Hexiang Deng Shuang Peng Xiang Zhou 2024National Science Review2024,11,1:0
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