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5篇 您的检索式:作者名="ANZH"
    题名 作者 年代 出处 被引量
1Effect of dietary bovine lactoferrin on performance and antioxidant status of piglets 显示文摘WANGYZ XUCL ANZH etal 2008Anita Feed Sci Technol2008,140,34:1
2显示文摘LINPei-Xi(林培喜) KANGXin-Ping(康新平) ANZhe(安哲) etal WujiHuaxueXuebao0,,:1
3饲粮中牛乳铁蛋白对仔猪生产性能和抗氧化状况的影响显示文摘试验研究饲粮中牛乳铁蛋白(bLF)对仔猪生长性能和抗氧化系统的影响。选择120头35日龄初始体重为(9.7+0.17)kg的杜洛克×长白×约克夏杂交母猪,并平均分到3个处理中。分别在饲粮中添加bLF0、1250、2500mg·kg.试验期35d。饲养试验结束时,从每个处理中随机选择8头仔猪,测定血清、背最长肌中丙二醛(MDA)含量和总抗氧化能力(TAOC)及铜锌超氧化物歧化酶(CuZnSOD)。WangYZ XuCL AnZH LiuJX FengJ 2008饲料博览(技术版)2008,,6:0
4Core processing neuron-enabled circuit motifs for neuromorphic computing显示文摘Based on brain-inspired computing frameworks,neuromorphic systems implement large-scale neural networks in hardware.Although rapid advances have been made in the development of artificial neurons and synapses in recent years,further research is beyond these individual components and focuses on neuronal circuit motifs with specialized excitatory-inhibitory(E-I)connectivity patterns.In this study,we demonstrate a core processor that can be used to construct commonly used neuronal circuits.The neuron,featuring an ultracompact physical configuration,integrates a volatile threshold switch with a gate-modulated two-dimensional(2D)MoS2 field-effect channel to process complex E-I spatiotemporal spiking signals.Consequently,basic neuronal circuits are constructed for biorealistic neuromorphic computing.For practical applications,an algorithm-hardware co-design is implemented in a gatecontrolled spiking neural network with substantial performance improvement in human speech separation.Hanxi Li Jiayang Hu Anzhe Chen Yishu Zhang Chenhao Wang Beiduo Wang Yi Tong Jiachao Zhou Kian Ping Loh Yang Xu Tawfique Hasan Bin Yu 2023InfoMat2023,5,11:0
5Functional near-infrared spectroscopy can detect low-frequency hemodynamic oscillations in the prefrontal cortex during steady-state visual evoked potentialinducing periodic facial expression stimuli presentation显示文摘Brain oscillations are vital to cognitive functions,while disrupted oscillatory activity is linked to various brain disorders.Although high-frequency neural oscillations(>1 Hz)have been extensively studied in cognition,the neural mechanisms underlying low-frequency hemodynamic oscillations(LFHO)<1 Hz have not yet been fully explored.One way to examine oscillatory neural dynamics is to use a facial expression(FE)paradigm to induce steady-state visual evoked potentials(SSVEPs),which has been used in electroencephalography studies of high-frequency brain oscillation activity.In this study,LFHO during SSVEP-inducing periodic flickering stimuli presentation were inspected using functional near-infrared spectroscopy(fNIRS),in which hemodynamic responses in the prefrontal cortex were recorded while participants were passively viewing dynamic FEs flickering at 0.2 Hz.The fast Fourier analysis results demonstrated that the power exhibited monochronic peaks at 0.2 Hz across all channels,indicating that the periodic events successfully elicited LFHO in the prefrontal cortex.More importantly,measurement of LFHO can effectively distinguish the brain activation difference between different cognitive conditions,with happy FE presentation showing greater LFHO power than neutral FE presentation.These results demonstrate that stimuli flashing at a given frequency can induce LFHO in the prefrontal cortex,which provides new insights into the cognitive mechanisms involved in slow oscillation.Meng-Yun Wang Anzhe Yuan Juan Zhang Yutao Xiang Zhen Yuan 2020Visual Computing for Industry,Biomedicine,and Art2020,3,1:0
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