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期刊信息/Journal information
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。
正式出版
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    Essential proteins identification method based on four-order distances and subcellular localization information

    卢鹏丽钟雨杨培实
    852-860页
    查看更多>>摘要：Essential proteins are inseparable in cell growth and survival.The study of essential proteins is important for un-derstanding cellular functions and biological mechanisms.Therefore,various computable methods have been proposed to identify essential proteins.Unfortunately,most methods based on network topology only consider the interactions between a protein and its neighboring proteins,and not the interactions with its higher-order distance proteins.In this paper,we propose the DSEP algorithm in which we integrated network topology properties and subcellular localization information in protein-protein interaction(PPI)networks based on four-order distances,and then used random walks to identify the essential proteins.We also propose a method to calculate the finite-order distance of the network,which can greatly reduce the time complexity of our algorithm.We conducted a comprehensive comparison of the DSEP algorithm with 11 existing classical algorithms to identify essential proteins with multiple evaluation methods.The results show that DSEP is superior to these 11 methods.
      原文链接:
    • 万方数据
    • 维普

    Analysis of radiation diffusion of COVID-19 driven by social attributes

    年福忠杨晓晨师亚勇
    861-868页
    查看更多>>摘要：This paper first estimated the infectious capacity of COVID-19 based on the time series evolution data of confirmed cases in multiple countries.Then,a method to infer the cross-regional spread speed of COVID-19 was introduced in this paper,which took the gross domestic product(GDP)of each region as one of the factors that affect the spread speed of COVID-19 and studied the relationship between the GDP and the infection density of each region(mainland China,the United States,and EU countries).In addition,the geographic distance between regions was also considered in this method and the effect of geographic distance on the spread speed of COVID-19 was studied.Studies have shown that the probability of mutual infection of these two regions decreases with increasing geographic distance.Therefore,this paper proposed an epidemic disease spread index based on GDP and geographic distance to quantify the spread speed of COVID-19 in a region.The analysis results showed a strong correlation between the epidemic disease spread index in a region and the number of confirmed cases.This finding provides reasonable suggestions for the control of epidemics.Strengthening the control measures in regions with higher epidemic disease spread index can effectively control the spread of epidemics.
      原文链接:
    • 万方数据
    • 维普