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Exploring the Abnormal Brain Regions and Abnormal Functional Connections in SZ by Multiple Hypothesis Testing Technique

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Computer Modeling in Engineering & Sciences 2020年第10期125卷 215-237页

作者： Lan Yang Shun Qi Chen Qiao yanmei kang School of Mathematics and Statistics Xi’an Jiaotong UniversityXi’an710049China Department of Radiology The First Affiliated Hospital of Medical CollegeXi’an Jiaotong UniversityXi’an710061China Department of Radiology Xijing HospitalFourth Military Medical UniversityXi’an710032China

Schizophrenia(SZ)is one of the most common mental *** main characteristics are abnormal social behavior and inability to correctly understand real *** recent years,the magnetic resonance imaging(MRI)technique has been popularly utilized to study ***,it is still a great challenge to reveal the essential information contained in the MRI *** this paper,we proposed a biomarker selection approach based on the multiple hypothesis testing techniques to explore the difference between SZ and healthy controls by using both functional and structural MRI data,in which biomarkers represent both abnormal brain functional connectivity and abnormal brain *** implementing the biomarker selection approach,six abnormal brain regions and twenty-three abnormal functional connectivity in the brains of SZ are *** is discovered that compared with healthy controls,the significantly reduced gray matter volumes are mainly distributed in the limbic lobe and the basal ganglia,and the significantly increased gray matter volumes are distributed in the frontal ***,it is revealed that the significantly strengthened connections are those between the middle frontal gyrus and the superior occipital gyrus,the superior occipital gyrus and the middle occipital gyrus as well as the middle occipital gyrus and the fusiform gyrus,and the rest connections are significantly weakened.

关键词： Multiple hypothesis testing schizophrenia magnetic resonance imaging abnormal brain regions abnormal functional connectivity

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Unequal error protection scheme for layered sources transmission over MIMO systems using spatial diversity and multiplexing technology

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The Journal of China Universities of Posts and Telecommunications 2015年第3期22卷 56-63页

作者： Zhang Yongjian Zhang Kexin kang yanmei Yang Dacheng School of Telecommunication Engineering Beijing University of Posts and Telecommunications University of International Relations Academic office Beijing University of Posts and Telecommunications

This paper proposes a hybrid scheme of the Alamouti coding and vertical bell labs layered space-time （V-BLAST） with the zero-forcing （ZF） receiver, which can achieve the unequal error protection （UEP） transmission in terms of the differences of importance in the layered sources. We analyze the tradeoff between spatial diversity and multiplexing in a mathematical manner, and prove the monotonic behavior of the crosspoint. Based on this scheme, we adopt V-BLAST to provide high data rates for the enhancement layer （EL） bitstreams, and adopt Alamouti coding to guarantee high reliability for the base layer （BL） bitstreams. Meanwhile, to improve the transmission reliability for the layered sources under the multiple-input multiple-output （MIMO） system with the limited-bandwidth and the total limited power, and to raise the frequency bandwidth efficiency, we take the power allocation considered in this proposed scheme. The simulation results show that the hybrid scheme has the average 1.9 dB and 1.3 dB gain in video peak signal-to-noise ratio （PSNR）, compared with the pure spatial diversity and pure spatial multiplexing scheme, respectively.

关键词： unequal error protection spatial diversity and multiplexing outage probability multiple-input multiple-output (MIMO) powerallocation

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Firing properties and synchronization rate in fractional-order Hindmarsh-Rose model neurons

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Science China(Technological Sciences) 2014年第5期57卷 914-922页

作者： XIE Yong kang yanmei LIU Yong WU Ying State Key Lab of Strength and Vibration for Mechanical Structures Xi'an Jiaotong University School of Mathematics and Stastics Xi'an Jiaotong University

We find that the fractional-order Hindmarsh-Rose model neuron demonstrates various types of firing behavior as a function of the fractional order in this *** exists a clear difference in the bifurcation diagram between the fractional-order Hindmarsh-Rose model and the corresponding integer-order model even though the neuron undergoes a Hopf bifurcation to oscillation and then starts a period-doubling cascade to chaos with the decrease of the externally applied ***,the discharge frequency of the fractional-order Hindmarsh-Rose model neuron is greater than that of the integer-order counterpart irrespective of whether the neuron exhibits periodic or chaotic *** we demonstrate that the firing behavior of the fractional-order Hindmarsh-Rose model neuron has a higher complexity than that of the integer-order ***,the synchronization phenomenon is investigated in the network of two electrically coupled fractional-order model *** show that the synchronization rate increases as the fractional order decreases.

关键词： fractional calculus chaos bifurcation Hindmarsh-Rose model synchronization

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Local thermal conductivity of inhomogeneous nano-fluidic films:A density functional theory perspective

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Chinese Physics B 2024年第4期33卷 594-603页

作者：孙宗利康艳霜康艳梅 Department of Mathematics and Physics North China Electric Power UniversityBaoding 071003China College of Science Hebei Agricultural UniversityBaoding 071001China Hebei Key Laboratory of Physics and Energy Technology Baoding 071003China University of International Relations Beijing 100091China

Combining the mean field Pozhar-Gubbins(PG)theory and the weighted density approximation,a novel method for local thermal conductivity of inhomogeneous fluids is *** correlation effect that is beyond the mean field treatment is taken into account by the simulation-based empirical *** application of this method to confined argon in slit pore shows that its prediction agrees well with the simulation results,and that it performs better than the original PG theory as well as the local averaged density model(LADM).In its further application to the nano-fluidic films,the influences of fluid parameters and pore parameters on the thermal conductivity are calculated and *** is found that both the local thermal conductivity and the overall thermal conductivity can be significantly modulated by these ***,in the supercritical states,the thermal conductivity of the confined fluid shows positive correlation to the bulk density as well as the ***,when the bulk density is small,the thermal conductivity exhibits a decrease-increase transition as the temperature is *** is also the case in which the temperature is *** fact,the decrease-increase transition in both the small-bulk-density and low-temperature cases arises from the capillary condensation in the ***,smaller pore width and/or stronger adsorption potential can raise the critical temperature for condensation,and then are beneficial to the enhancement of the thermal *** modulation behaviors of the local thermal conductivity lead immediately to the significant difference of the overall thermal conductivity in different phase regions.

关键词： thermal conductivity nano-fluidic films density functional theory

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Signal-to-noise ratio gain of an adaptive neuron model with Gamma renewal synaptic input

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Acta Mechanica Sinica 2022年第1期38卷 148-156页

作者： yanmei kang Yuxuan Fu Yaqian Chen Department of Applied Mathematics School of Mathematics and StatisticsXi'an Jiaotong UniversityXi'an 710049China

We take an adaptive leaky integrate-and-fire neuron model to explore the effect of non-Poisson neurotransmitter on stochastic resonance and its signal-to-noise ratio(SNR)*** triggered algorithm is adopted to speed up the simulating *** is revealed that both the output SNR and the SNR gain can be monotonically improved when increasing the shape parameter for Gamma ***,for large signal coupling strength,the 1:1 stochastic phase locking induced by Gamma noise is responsible for the frequency matching stochastic resonance,and the output signal-to-noise ratio can surpass the input signal-to-noise ratio,which is significantly different with Poisson case,while for extremely weak signal coupling strength,the SNR gain peak,which is far larger than unity,is due to noise induced *** observations are meaningful in understanding the neural processing mechanisms from a more realistic viewpoint of synaptic modeling.

关键词： Shot noise Gamma renewal point process Signal-to-noise ratio gain Adaptive integrate-and-fire model

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Effect of spatially correlated noise on stochastic synchronization in globally coupled FitzHugh–Nagumo neuron systems

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Theoretical & Applied Mechanics Letters 2014年第1期4卷 41-49页

作者： Yange Shao yanmei kang Department of Applied Mathematics School of Mathematics and Statistics Xi'an Jiaotong University

The phenomenon of stochastic synchronization in globally coupled FitzHugh–Nagumo（FHN） neuron system subjected to spatially correlated Gaussian noise is investigated based on dynamical mean-field approximation（DMA） and direct simulation（DS）. Results from DMA are in good quantitative or qualitative agreement with those from DS for weak noise intensity and larger system size. Whether the consisting single FHN neuron is staying at the resting state, subthreshold oscillatory regime, or the spiking state, our investigation shows that the synchronization ratio of the globally coupled system becomes higher as the noise correlation coefficient increases, and thus we conclude that spatial correlation has an active effect on stochastic synchronization, and the neurons can achieve complete synchronization in the sense of statistics when the noise correlation coefficient tends to one. Our investigation also discloses that the noise spatial correlation plays the same beneficial role as the global coupling strength in enhancing stochastic synchronization in the ensemble. The result might be useful in understanding the information coding mechanism in neural systems.

关键词： stochastic synchronization spatially correlated noise dynamical mean-field approximation

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Effect of spatial negative correlation on weak signal detection in Integrate-and-fire neuron networks with time delayed feedback

Effect of spatial negative correlation on weak signal detect...

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中国力学大会——2013

作者： kang yanmei Xie Yong Xu Jianxue School of Mathematics and Statistics Xi'an Jiaotong University School of Aerospace Xi'an Jiaotong University

In this paper,to explore the effect of spatial negative correlation on weak signal detection,we extend the linear response frame in Integrate-and-fire networks with inhibitory and excitatory delayed feedback from statistically independent internal noise to spatially correlated internal *** the investigation based on linear response approximation,we observe local spatially negatively correlated internal noise is better for detecting weak signal than statistically independent internal noise and

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日语专业教材与等级考试的关联性研究——围绕《新编日语(修订版)》与能力测试二级的词汇考察谈起

外语教育与应用

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外语教育与应用 2021年第1期7卷 57-66页

作者：石荷花 kang yanmei 四川外国语大学成都学院 School of Asian and African studies CISISU

教材和测试两者都是日语学习中必不可缺的部分,无论是对教师教育活动的实施,还是对学生日常学习策略的导向,都会产生重要影响,因此教师和学生势必都会关心和重视专业教材与等级考试的相关性。本文搜集了 2015年至2019年日语能力测试二... 详细信息

教材和测试两者都是日语学习中必不可缺的部分,无论是对教师教育活动的实施,还是对学生日常学习策略的导向,都会产生重要影响,因此教师和学生势必都会关心和重视专业教材与等级考试的相关性。本文搜集了 2015年至2019年日语能力测试二级词汇题,通过分析其与《新编日语(修订版)》词汇的交叉情况,明确两者的相关性,以期为基础日语教学、学生备考和教材的改善提出建议和策略。

关键词：专业教材等级考试词汇关联性

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PURIFICATION OF THE ADENOSINE BINDING PROTEINS IN ERYTHROCYTE GHOSTS BY AFFINITY CHROMATOGRAPHY

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湛江医学院学报 1988年第2期 35-37页

作者： Liang Nianci Li Danmei Jiang Liming kang Jinxuan Qin yanmei (Department of Biochemistry,Zhanjiang Medical College,Zhanjiang,Guangdong,China)

INTRODUCTIONAdenosine is known to be an in-termediate of nucleotide metabolismand an important regulator of somephysiologicl processes such as vas-cular blood flow,platelet aggrega-tion,ueural function,lipolysis,car-

关键词： OC PURIFICATION OF THE ADENOSINE BINDING PROTEINS IN ERYTHROCYTE GHOSTS BY AFFINITY CHROMATOGRAPHY

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分形高斯噪声驱动的神经元反馈模型中的随机共振现象

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空军工程大学学报（自然科学版） 2018年第2期19卷 100-105页

作者：高凤银康艳梅西安交通大学数学与统计学院西安710049 空军工程大学基础部西安710051

基于脑神经科学中的长程相关性和谱幂律形态的普遍性,使用分形高斯噪声建立了一类非线性神经元随机模型,研究了分形高斯噪声在非线性神经元模型中的增强信息传输作用。主要研究一般的反馈神经元模型中,加性分形高斯噪声诱导阈上随机共... 详细信息

基于脑神经科学中的长程相关性和谱幂律形态的普遍性,使用分形高斯噪声建立了一类非线性神经元随机模型,研究了分形高斯噪声在非线性神经元模型中的增强信息传输作用。主要研究一般的反馈神经元模型中,加性分形高斯噪声诱导阈上随机共振现象发生的条件,满足一定条件的噪声强度和系统的Lipschitz条件的随机动力系统可发生阈下随机共振或阈上随机共振现象。理论和模拟结果都显示受分形高斯噪声激励的非线性神经元系统在二值输入的状态下互信息随着噪声强度的变化会达到最大值,并出现单峰状态,从而产生阈下随机共振和阈上随机共振现象。随机共振的现象发生与分形高斯噪声的Hurst指数有关。通过模拟,验证了分形高斯噪声可以增强神经元的信息传输作用。

关键词：反馈神经元模型分形高斯噪声随机共振互信息

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