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中国物理B（英文版）
中国物理B（英文版）

欧阳钟灿

月刊

1674-1056

010-82649026 82649519

100080

北京603信箱

中国物理B（英文版）/Journal Chinese Physics　BCSCDCSTPCD北大核心EISCI
查看更多>>该刊与《物理学报》是中国物理学会主办的物理学英文和中文的综合性国际学术月刊。刊登物理学科领域中，国内外未曾公开发表的具有创新性的科学研究最新成果。内容包括物理学各领域的理论、实验技术及应用。两刊内容不重复。两刊以论文水平高、创新性强，发表速度快的特点，受到国内外物理学工作者的好评和关注。被国际著名的SCI等10种以上检索系统收录。曾多次被评为中国科学院优秀期刊一等奖，1999，2003，2005年荣获第一、第二和第三届国家期刊奖，2001年被国家新闻出版总署评为“中国期刊方阵”中的双高（高知名度、高学术水平）期刊。2001，2002，2003年两刊都评为百种中国杰出期刊。
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    Synchronization and firing mode transition of two neurons in a bilateral auditory system driven by a high-low frequency signal

    Charles Omotomide Apata唐浥瑞周祎凡蒋龙...
    722-736页
    查看更多>>摘要：The FitzHugh-Nagumo neuron circuit integrates a piezoelectric ceramic to form a piezoelectric sensing neuron,which can capture external sound signals and simulate the auditory neuron system.Two piezoelectric sensing neurons are coupled by a parallel circuit consisting of a Josephson junction and a linear resistor,and a binaural auditory system is established.Considering the non-singleness of external sound sources,the high-low frequency signal is used as the input signal to study the firing mode transition and synchronization of this system.It is found that the angular frequency of the high-low frequency signal is a key factor in determining whether the dynamic behaviors of two coupled neurons are synchronous.When they are in synchronization at a specific angular frequency,the changes in physical parameters of the input signal and the coupling strength between them will not destroy their synchronization.In addition,the firing mode of two coupled auditory neurons in synchronization is affected by the characteristic parameters of the high-low frequency signal rather than the coupling strength.The asynchronous dynamic behavior and variations in firing modes will harm the auditory system.These findings could help determine the causes of hearing loss and devise functional assistive devices for patients.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Effects of individual heterogeneity on social contagions

    年福忠杨宇
    737-748页
    查看更多>>摘要：Despite having significant effects on social contagions,individual heterogeneity has frequently been overlooked in ear-lier studies.To better understand the complexity of social contagions,a non-Markovian model incorporating heterogeneous social influence and adoption thresholds is introduced.For theoretical analysis,a generalized edge-based compartmental theory which considers the heterogeneities of social influence and adoption thresholds is developed.Focusing on the final adoption size,the critical propagation probability,and the phase transition type,social contagions for adoption thresholds that follow normal distributions with various standard deviations,follow various distributions,and correlate with degrees are investigated.When thresholds follow normal distributions,a larger standard deviation results in a larger final adoption size when the information propagation probability is relatively low.However,when the information propagation probability is relatively high,a larger standard deviation results in a smaller final adoption size.When thresholds follow various dis-tributions,crossover phenomena in phase transition are observed when investigating the relationship of the final adoption size versus the average adoption threshold for some threshold distributions.When thresholds are correlated with degrees,similar crossover phenomena occur when investigating the relationship of the final adoption size versus the degree corre-lation index.Additionally,we find that increasing the heterogeneity of social influence suppresses the effects of adoption threshold heterogeneity on social contagions in three cases.Our theory predictions agree well with the simulation results.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Estimation of cancer cell migration in biomimetic random/oriented collagen fiber microenvironments

    姚静如李国强姚喜耀周连杰...
    749-757页
    查看更多>>摘要：Increasing data indicate that cancer cell migration is regulated by extracellular matrixes and their surrounding bio-chemical microenvironment,playing a crucial role in pathological processes such as tumor invasion and metastasis.How-ever,conventional two-dimensional cell culture and animal models have limitations in studying the influence of tumor microenvironment on cancer cell migration.Fortunately,the further development of microfluidic technology has provided solutions for the study of such questions.We utilize microfluidic chip to build a random collagen fiber microenvironment(RFM)model and an oriented collagen fiber microenvironment(OFM)model that resemble early stage and late stage breast cancer microenvironments,respectively.By combining cell culture,biochemical concentration gradient construction,and microscopic imaging techniques,we investigate the impact of different collagen fiber biochemical microenvironments on the migration of breast cancer MDA-MB-231-RFP cells.The results show that MDA-MB-231-RFP cells migrate further in the OFM model compared to the RFM model,with significant differences observed.Furthermore,we establish concen-tration gradients of the anticancer drug paclitaxel in both the RFM and OFM models and find that paclitaxel significantly inhibits the migration of MDA-MB-231-RFP cells in the RFM model,with stronger inhibition on the high concentration side compared to the low concentration side.However,the inhibitory effect of paclitaxel on the migration of MDA-MB-231-RFP cells in the OFM model is weak.These findings suggest that the oriented collagen fiber microenvironment resembling the late-stage tumor microenvironment is more favorable for cancer cell migration and that the effectiveness of anticancer drugs is diminished.The RFM and OFM models constructed in this study not only provide a platform for studying the mechanism of cancer development,but also serve as a tool for the initial measurement of drug screening.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Cooperative activation of sodium channels for downgrading the energy efficiency in neuronal information processing

    严浩然颜家琦俞连春邵玉峰...
    758-764页
    查看更多>>摘要：The Hodgkin-Huxley model assumes independent ion channel activation,although mutual interactions are common in biological systems.This raises the problem why neurons would favor independent over cooperative channel activation.In this study,we evaluate how cooperative activation of sodium channels affects the neuron's information processing and energy consumption.Simulations of the stochastic Hodgkin-Huxley model with cooperative activation of sodium chan-nels show that,while cooperative activation enhances neuronal information processing capacity,it greatly increases the neuron's energy consumption.As a result,cooperative activation of sodium channel degrades the energy efficiency for neuronal information processing.This discovery improves our understanding of the design principles for neural systems,and may provide insights into future designs of the neuromorphic computing devices as well as systematic understanding of pathological mechanisms for neural diseases.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Identifying influential spreaders in complex networks based on density entropy and community structure

    苏湛陈磊艾均郑雨语...
    765-775页
    查看更多>>摘要：In recent years,exploring the relationship between community structure and node centrality in complex networks has gained significant attention from researchers,given its fundamental theoretical significance and practical implications.To address the impact of network communities on target nodes and effectively identify highly influential nodes with strong propagation capabilities,this paper proposes a novel influential spreaders identification algorithm based on density entropy and community structure(DECS).The proposed method initially integrates a community detection algorithm to obtain the community partition results of the networks.It then comprehensively considers the internal and external density entropies and degree centrality of the target node to evaluate its influence.Experimental validation is conducted on eight networks of varying sizes through susceptible-infected-recovered(SIR)propagation experiments and network static attack experiments.The experimental results demonstrate that the proposed method outperforms five other node centrality methods under the same comparative conditions,particularly in terms of information spreading capability,thereby enhancing the accurate identification of critical nodes in networks.
      原文链接:
    • NETL
    • NSTL
    • 万方数据