4篇
您的检索式：作者名="LIN Zhaofei"
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| 1 | Prevalence and phylogenetic characterization of canine coronavirus from diseased pet dogs in Beijing,China显示文摘Dear Editor,Canine coronavirus including canine coronavirus(CCoV)and canine respiratory coronavirus(CRCoV)have been recognized as pathogenic viruses to dogs worldwide,causing enteric and respiratory issues(Buonavoglia et al.,2006).Zoonotic transfer of the viruses from the animal kingdom to humans has been repeatedly observed over the past decade, | Shuai Lu Di Zhang Jianfang Zhou Zhaofei Xia Degui Lin Yongliang Lou Wenjie Tan Kun Qin | 2016 | Science China(Life Sciences)2016，59，8： | 5 |
| 2 | Peak slip and load-slip realatlonshlp o! headed stud connectors 显示文摘 | LIN Zhaofei LIU Yuqing | 2014 | Journal of Tongji University ( Natural Science)2014，42，7： | 1 |
| 3 | A metabolome atlas of mouse brain on the global metabolic signature dynamics following short-term fasting显示文摘Calorie restriction(CR)or a fasting regimen is considered one of the most potent non-pharmacological interventions to prevent chronic metabolic disorders,ameliorate autoimmune diseases,and attenuate aging.Despite efforts,the mechanisms by which CR improves health,particularly brain health,are still not fully understood.Metabolic homeostasis is vital for brain function,and a detailed metabolome atlas of the brain is essential for understanding the networks connecting different brain regions. | Yaping Shao Zhenfa Fu Yanfeng Wang Zhaofei Yang Yushan Lin Song Li Cheng Cheng Min Wei Zheyi Liu Guowang Xu Weidong Le | 2023 | Signal Transduction and Targeted Therapy2023，8，10： | 0 |
| 4 | 基于普通器件实现快1000倍的相机与机器视觉显示文摘在数码相机中,我们发现了一个重大缺陷,即从胶片相机继承的图像和视频模型阻碍了相机捕捉快速变化的光子世界。我们提出了一种新的视觉形式,称为视象(vform),这是一个比特序列阵列,其中每个比特表示光子的累积是否达到了一个阈值,从而可以记录和重建任何时刻场景的光强。仅使用消费级CMOS传感器和集成电路,开发了一种比传统相机快1000倍的脉冲相机。将视象看作生物视觉中的脉冲序列,进一步开发了基于脉冲神经网络的机器视觉系统,它可以将机器的速度和生物视觉的机理结合起来,从而实现了比人类视觉快1000倍的高速目标检测和跟踪,并通过辅助裁判和目标瞄准系统证明了脉冲相机和超级视觉系统的效用。视象模型和芯片有望从根本上改变图像和视频的概念以及摄影、电影和视觉媒体等相关行业,并开启一个全新的基于脉冲神经网络的速度自由的机器视觉时代。 | Tiejun Huang Yajing Zheng Zhaofei Yu Rui Chen Yuan Li Ruiqin Xiong Lei Ma Junwei Zhao Siwei Dong Lin Zhu Jianing Li Shanshan Jia Yihua Fu Boxin Shi Si Wu Yonghong Tian | 2023 | Engineering2023，，6： | 0 |
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