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[会议论文] 作者:Zhenqi Liu,
来源:中华医学会糖尿病学分会第十九次全国学术会议 年份:2015
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[会议论文] 作者:Zhenqi Liu,
来源:第十七届全国高等医学院校诊断学教学改革研讨会 年份:2014
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[会议论文] 作者:Zhenqi Liu,
来源:第六届湘雅国际糖尿病免疫学论坛 年份:2011
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[会议论文] 作者:Zhenqi Liu,
来源:第六届湘雅国际糖尿病免疫学论坛 年份:2011
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[会议论文] 作者:Zhenqi Liu,
来源:第三届湘雅国际糖尿病免疫学论坛 年份:2008
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[会议论文] 作者:Zhenqi Liu,
来源:中华医学会第十三次全国内分泌学学术会议 年份:2014
A major feature of type 2 diabetes mellitus (T2DM) is a decreased incretin effect.The incretins,including glucagon-like peptide 1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP),are sec...
[会议论文] 作者:Zhenqi Liu,
来源:中华医学会糖尿病学分会第十七次全国学术会议 年份:2013
Endothelium actively regulates vessel functions by both secreting vasoactive factors and direct coupling to nearby smooth muscle.As arterial and arteriolar function varies depending on the size and lo...
[期刊论文] 作者:Zhenqi Liu,Qing Liu,Yulong Ma,Fuyang Zhou,Yizhi Qu,
来源:中国物理快报(英文版) 年份:2021
The Auger decay for the many-electron Xe+ (4p?13/2) state is studied in detail, using multistep approaches. It is found that the single Auger decay channels are...
[期刊论文] 作者:WU Nan,CAI ZhongXian,YANG HaiJun,WANG ZhenQi,LIU XianFeng,HAN JianFa,,
来源:Science China(Earth Sciences) 年份:2013
The Tahe-Lunnan hydrocarbon province is China’s largest region with oil-and-gas-producing marine carbonate rocks. However, in terms of multi-source hydrocarbon...
[期刊论文] 作者:Yagao Feng,Suya Deng,Zhenqi Liu,Min Hu,Houjun Yan,Qiusheng Wang,
来源:中国神经再生研究(英文版) 年份:2006
BACKGROUND: Recent researches have indicated that estrogen has extensive neuroprotective effects. So some studies designed ovariectomized animal models and admi...
[期刊论文] 作者:Kaitlin M.Love,Eugene J.Barrett,Steven K.Malin,Jane E.B.Reusch,Judith G.Regensteiner,Zhenqi Liu,
来源:分子细胞生物学报(英文版) 年份:2021
Endothelium,acting as a barrier,protects tissues against factors that provoke insulin resistance and type 2 diabetes and itself responds to the insult of insulin resistance inducers with altered function.Endothelial insulin resistance and v......
[会议论文] 作者:Zhenqi Liu,刘振圻,Lijun Bao,包立君,Zhong Chen,陈忠,
来源:第十七届全国波谱学学术会议 年份:2012
为了提高成像的空间分辨率和信噪比,将超快速MRI技术与图像超分辨率(SR)重建技术相结合展现出重要的应用前景。本文将稀疏性作为先验约束,应用待重建图像的同类图像构造高分辨率字典Dh和低分辨率字典Dl,采用数据学习算法对高、低分辨率进行耦合训练,实现单幅MR图像......
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