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16篇 您的检索式:作者名="Jifeng D"
    题名 作者 年代 出处 被引量
1Novel antitumor activities of Kushen flavonoids In Vitro and In Vivo显示文摘Mingyu S Jun H Jifeng D 2006Phytotherapy Res2006,10,31:1
2Robust mean shift tracking with corrected background-weighted histogram显示文摘Ning Jifeng Zhang Lei ZHANG D 2010IET Computer Vision2010,6,1:1
3Robust mean shift tracking with corrected background-weighted histogram显示文摘Ning Jifeng Zhang Lei Zhang D 2010lET Computer Vision2010,,:1
4Absorptive and disseminative capacity: Knowledge transfer in intra-organization networks 显示文摘Mu Jifeng Tang Fangcheng MacLachlan D L 2010Expert Systems with Applications2010,37,1:1
5Disseminative capacity, organizational structure and knowledge transfer 显示文摘Tang Fangcheng Mu Jifeng MacLachlan D L 2010Expert Systems with Applications2010,37,2:1
6EarlyCretaceous adakitic granites in the Northern Dabie Complex,central China: Implications for partial melting anddelamination of thickened lower crust 显示文摘Wang Qiang Wyman D A Xu Jifeng Jian Ping ZhaoZhenhua Li Chaofeng Xu Wei Ma Jinlong He Bin 2007GeochimCosmochim Acta2007,71,26:1
7Implication of network size and structure on organizations' knowledge transfer 显示文摘Tang Fangcheng Mu Jifeng MacLachlan D L 2008Expert Systems with Applications2008,34,2:1
8Robust object track- ing using joint color-texture histogram 显示文摘NING Jifeng ZHANG Lei ZHANG D 2009International Journal of Pattern Recognition & Artificial Intelligence2009,23,7:1
9Robust mean stilt tracking with corrected background-weighted histogram 显示文摘Ning Jifeng Zhang Lei Zhang D 2012IET Computer Vision2012,6,1:1
10Robust-Mean-Shift tracking with corrected background-weighted histogram显示文摘Ning Jifeng Zhang Lei Zhang D 2012IET Computer Vision2012,6,1:1
11Robust Mean-shift Tracking with Corrected Background-weighted Histogram显示文摘Ning Jifeng Zhang Lei Zhang D 2012IET Computer Vision2012,17,1:1
12Robust mean shift tracking with corrected background-weighted histogram 显示文摘Ning Jifeng Zhang Lei Zhang D 2012IET Computer Vision2012,6,1:1
13Robust object tracking using joint color-texture histogram 显示文摘Ning Jifeng Zhang Lei Zhang D 2009International Journal of Pattern Recognition and Artificial Intelligence2009,23,7:1
14Scale and orientation adaptive mean shift tracking 显示文摘Ning Jifeng Zhang Lei Zhang D 2012IET Computer Vision2012,6,1:1
15Interactive image segmentation by maximal similarity based region merging显示文摘Ning Jifeng Zhang Lei Zhang D 2010Pattern Recognition2010,43,:1
16Carbon isotope ratios of n-alkanoic acids: new organic proxies for paleo-productivity in Antarctic ponds显示文摘Primary productivity in the Antarctic aquatic environment with simple ecosystems is sensitive to climate and environmental fluctuations.We investigatedδ13C values for n-alkanoic acids derived from phototrophic organisms in a lacustrine sediment core(IIL3)to indicate primary productivity in ponds on Inexpressible Island in the western Ross Sea,Antarctica.Short-chain n-alkanoic acids(C14–C18)were abundant in the IIL3 sediment profile.The carbon isotope ratios of short-chain n-alkanoic acids in the sediment samples and floating microbial mats were similar,indicating that the short-chain n-alkanoic acids in the IIL3 sediment profile predominantly originated from phototrophic organisms.Theδ13C values for the short-chain n-alkanoic acids varied widely through the sediment profile,and 13C-enrichment of n-alkanoic acids was most likely related to high productivity due to carbon-limited conditions caused by enhanced photosynthetic efficiency.Theδ13C values for the n-alkanoic acids changed over the past 3200 years in similar ways to organic proxies for aquatic productivity(n-alkanoic acid and sterol sedimentary fluxes).C16 n-alkanoic acid was enriched in 13C in periods of high aquatic productivity~750–1650 and 3000–3200 a BP but depleted in 13C in periods of relatively low productivity~150–600 and 2500–3000 a BP.The results indicated that carbon isotope ratios of lipids from phototrophic organisms could be used as new proxies to reconstruct paleo-productivity in Antarctic lakes and ponds and therefore improve our understanding of past climate changes.CHEN Xin JIN Jing NIE Yaguang ZHANG Jifeng DONG Liang HUANG Xianyu Steven D()EMSLIE LIU Xiaodong 2023Advances in Polar Science2023,34,4:0
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