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| 1 | Component analysis of Chinese medicine and advances in fuming-washing therapy for knee osteoarthritis via unsupervised data mining methods显示文摘OBJECTIVE: To analyze the component law of Chinese medicines in fuming-washing therapy for knee osteoarthritis(KOA), and develop new fuming-washing prescriptions for KOA through unsupervised data mining methods.METHODS: Chinese medicine recipes for fuming-washing therapy for KOA were collected and recorded in a database. The correlation coefficient among herbs, core combinations of herbs, andnew prescriptions were analyzed using modified mutual information, complex system entropy cluster, and unsupervised hierarchical clustering, respectively.RESULTS: Based on analysis of 345 Chinese medicine recipes for fuming-washing therapy, 68 herbs occurred frequently, 33 herb pairs occurred frequently, and 12 core combinations were found.Five new fuming-washing recipes for KOA were developed.CONCLUSION: Chinese medicines for fuming-washing therapy of KOA mainly consist of wind-dampness-dispelling and cold-dispersing herbs, blood-activating and stasis-resolving herbs,and wind-dampness-dispelling and heat-clearing herbs. The treatment of fuming-washing therapy for KOA also includes dispelling wind-dampness and dispersing cold, activating blood and resolving stasis, and dispelling wind-dampness and clearing heat. Zhenzhutougucao(Herba Speranskiae Tuberculatae), Honghua(Flos Carthami), Niuxi(Radix Achyranthis Bidentatae), Shenjincao(Herba Lycopodii Japonici), Weilingxian(Radix et Rhizoma Clematidis Chinensis), Chuanwu(Radix Aconiti), Haitongpi(Cortex Erythrinae Variegatae), Ruxiang(Olibanum),Danggui(Radix Angelicae Sinensis), Caowu(Radix Aconiti Kusnezoffii), Moyao(Myrrha), and Aiye(Folium Artemisiae Argyi) are the main herbs used in the fuming-washing treatment for KOA. | Jun Liu Jianke Pan Yanping Wang Dingkun Lin Dan Shen Hongjun Yang Xiang Li Minghui Luo Xuewei Cao | 2013 | Journal of Traditional Chinese Medicine2013，33，5： | 32 |
| 2 | Interplay between Kitaev interaction and single ion anisotropy in ferromagnetic CrI_(3) and CrGeTe_(3) monolayers显示文摘Magnetic anisotropy is crucially important for the stabilization of two-dimensional(2D)magnetism,which is rare in nature but highly desirable in spintronics and for advancing fundamental knowledge.Recent works on CrI3 and CrGeTe_(3) monolayers not only led to observations of the long-time-sought 2D ferromagnetism,but also revealed distinct magnetic anisotropy in the two systems,namely Ising behavior for CrI3 versus Heisenberg behavior for CrGeTe_(3).Such magnetic difference strongly contrasts with structural and electronic similarities of these two materials,and understanding it at a microscopic scale should be of large benefits.Here,firstprinciples calculations are performed and analyzed to develop a simple Hamiltonian,to investigate magnetic anisotropy of CrI3 and CrGeTe_(3) monolayers.The anisotropic exchange coupling in both systems is surprisingly determined to be of Kitaev-type.Moreover,the interplay between this Kitaev interaction and single ion anisotropy(SIA)is found to naturally explain the different magnetic behaviors of CrI3 and CrGeTe_(3).Finally,both the Kitaev interaction and SIA are further found to be induced by spin–orbit coupling of the heavy ligands(I of CrI3 or Te of CrGeTe_(3))rather than the commonly believed 3d magnetic Cr ions. | Changsong Xu Junsheng Feng Hongjun Xiang Laurent Bellaiche | 2018 | npj Computational Materials2018，，1： | 10 |
| 3 | Magnetoelectricity in multiferroics: a theoretical perspective显示文摘The key physical property of multiferroic materials is the existence of coupling between magnetism and polarization,i.e.magnetoelectricity.The origin and manifestations of magnetoelectricity can be very different in the available plethora of multiferroic systems,with multiple possible mechanisms hidden behind the phenomena.In this review,we describe the fundamental physics that causes magnetoelectricity from a theoretical viewpoint.The present review will focus on mainstream physical mechanisms in both single-phase multiferroics and magnetoelectric heterostructures.The most recent tendencies addressing possible new magnetoelectric mechanisms will also be briefly outlined. | Shuai Dong Hongjun Xiang Elbio Dagotto | 2019 | National Science Review2019，6，4： | 8 |
| 4 | Genetic analysis of fertility restoring genes for AL-type male sterility in wheat显示文摘In order to screen molecular markers linked to fertility restoring genes and further improve the breeding efficiency of restorer lines,in this study,wheat varieties 18A,18B and 99AR144-1 were used as experimental materials to establish F2 fertility-segregating population. Plant quantitative trait'major gene + polygene mixed model'separation analysis method and simple sequence repeat(SSR) molecular markers were adopted for genetic analysis of four generations,including the parents(P1 and P2),and hybrid(Fl and F2) populations. The results show that AL-type fertility restoring gene is controlled by two pairs of additive-dominant-epistatic genes and additive-dominant polygene;two primers linked to fertility restoring genes were selected by SSR molecular markers, including Xgwm95 on chromosome 2A and Barc61 on chromosome 1B,with the linkage distance of 15.0 cM and 18.0 cM,respectively. Based on verification,these two markers are reliable for distinguishing AL-type wheat sterile lines and restorer lines. | Liu Xiaofang Tian Xiaoming Nie Yingbin Mu Peiyuan Han Xinnian Sang Wei Cui Fengjuan Xu Hongjun Xiang Jishan | 2013 | Engineering Sciences2013，11，5： | 4 |
| 5 | Pathological features of COVID-19-associated lung injury:a preliminary proteomics report based on clinical samples显示文摘The COVID-19 pandemic has emerged as a global health emergency due to its association with severe pneumonia and relative high mortality.However,the molecular characteristics and pathological features underlying COVID-19 pneumonia remain largely unknown.To characterize molecular mechanisms underlying COVID-19 pathogenesis in the lung tissue using a proteomic approach,fresh lung tissues were obtained from newly deceased patients with COVID-19 pneumonia.After virus inactivation,a quantitative proteomic approach combined with bioinformatics analysis was used to detect proteomic changes in the SARS-CoV-2-infected lung tissues.We identified significant differentially expressed proteins involved in a variety of fundamental biological processes including cellular metabolism,blood coagulation,immune response,angiogenesis,and cell microenvironment regulation.Several inflammatory factors were upregulated,which was possibly caused by the activation of NF-κB signaling.Extensive dysregulation of the lung proteome in response to SARS-CoV-2 infection was discovered.Our results systematically outlined the molecular pathological features in terms of the lung response to SARS-CoV-2 infection,and provided the scientific basis for the therapeutic target that is urgently needed to control the COVID-19 pandemic. | Ling Leng Ruiyuan Cao Jie Ma Danlei Mou Yunping Zhu Wei Li Luye Lv Dunqin Gao Shikun Zhang Feng Gong Lei Zhao Bintao Qiu Haiping Xiang Zhongjie Hu Yingmei Feng Yan Dai Jiang Zhao Zhihong Wu Hongjun Li Wu Zhong | 2020 | Signal Transduction and Targeted Therapy2020，5，1： | 4 |
| 6 | Dissection of heterosis for yield and related traits using populations derived from introgression lines in rice显示文摘Despite the great success achieved by the exploitation of heterosis in rice,the genetic basis of heterosis is still not well understood.We adopted an advanced-backcross breeding strategy to dissect the genetic basis of heterosis for yield and eight related traits.Four testcross(TC) populations with 228 testcross F1 combinations were developed by crossing57 introgression lines with four types of widely used male sterile lines using a North Carolina II mating design.Analysis of variance indicated that the effects of testcross F1 combinations and their parents were significant or highly significant for most of the traits in both years,and all interaction effects with year were significant for most of the traits.Positive midparent heterosis(HMP) was observed for most traits in the four TC populations in the two years.The relative HMPlevels for most traits varied from highly negative to highly positive.Sixty-two dominant-effect QTL were identified for HMPof the nine traits in the four TC populations in the two years.Of these,22 QTL were also identified for the performance of testcross F1.Most dominant-effect QTL could individually explain more than 10% of the phenotypic variation.Four QTL clusters were observed including the region surrounding the RM9–RM297 region on chromosome 1,the RM110–RM279–RM8–RM5699–RM452 region on chromosome 2,the RM5463 locus on chromosome 6 and the RM1146–RM147 region on chromosome 10.The identified QTL for heterosis provide valuable information for dissecting the genetic basis of heterosis. | Chao Xiang Hongjun Zhang Hui Wang Shaobo Wei Binying Fu Jiafa Xia Zefu Li Yongming Gao Guoyou Ye | 2016 | The Crop Journal2016，4，6： | 3 |
| 7 | Multi-objective Dynamic Reconfiguration for Urban Distribution Network Considering Multi-level Switching Modes显示文摘The increasing integration of photovoltaic generators(PVGs) and the uneven economic development in different regions may cause the unbalanced spatial-temporal distribution of load demands in an urban distribution network(UDN). This may lead to undesired consequences, including PVG curtailment, load shedding, and equipment inefficiency, etc. Global dynamic reconfiguration provides a promising method to solve those challenges. However, the power flow transfer capabilities for different kinds of switches are diverse, and the willingness of distribution system operators(DSOs) to select them is also different. In this paper, we formulate a multi-objective dynamic reconfiguration optimization model suitable for multi-level switching modes to minimize the operation cost, load imbalance, and the PVG curtailment. The multi-level switching includes feeder-level switching, transformer-level switching, and substation-level switching. A novel load balancing index is devised to quantify the global load balancing degree at different levels. Then, a stochastic programming model based on selected scenarios is established to address the uncertainties of PVGs and loads. Afterward, the fuzzy c-means(FCMs) clustering is applied to divide the time periods of reconfiguration. Furthermore, the modified binary particle swarm optimization(BPSO)and Cplex solver are combined to solve the proposed mixed-integer second-order cone programming(MISOCP) model. Numerical results based on the 148-node and 297-node systems are obtained to validate the effectiveness of the proposed method. | Hongjun Gao Wang Ma Yingmeng Xiang Zao Tang Xiandong Xu Hongjin Pan Fan Zhang Junyong Liu | 2022 | Journal of Modern Power Systems and Clean Energy2022，10，5： | 2 |
| 8 | PERIODIC SOLUTIONS TO FUZZY CELLULAR NEURAL NETWORKS WITH DISTRIBUTED DELAYS显示文摘In this paper, a class of fuzzy cellular neural networks with distributed delays is discussed. By employing fixed point theorem and inequality techniques, some sufficient conditions are obtained to ensure the existence and global exponential stability of periodic solutions to the systems. Without assuming the global Lipschitz conditions of activation functions, our results are novel and reduce the limitation of previous known results. Moreover, an example is given to illustrate the effectiveness of our results. | Xiang Hongjun, Wang Jinhua (Dept. of Math., Xiangnan University, Chenzhou 423000, Hunan) | 2008 | Annals of Differential Equations2008，24，3： | 2 |
| 9 | Towards low carbon development in China:a comparison of national and glohal models 显示文摘 | CHEN Wenying YIN Xiang ZHANG Hongjun | 2013 | Climatic Change2013，，10： | 1 |
| 10 | Periodic solution ofCohen-Grossberg neural networks with variable coefficients显示文摘 | Xiang Hongjun Cao Jinde | 2007 | Lecture Notes in ComputerScience Part 12007，4491，： | 1 |
| 11 | Positive Solution to Nonzero Boundary Values Problem for a Coupled System of Nonlinear Fractional Differential Equations显示文摘 | Jinhua Wang Hongjun Xiang Zhigang Liu Shaher Momani | 2009 | International Journal of Differential Equations2009，，： | 1 |
| 12 | Almost periodic solution ofCohen-Grossberg neural networks with bounded and unbounded delays显示文摘 | Xiang Hongjun Cao Jinde | 2009 | Nonlinear Analysis:Real World Applications2009，10，： | 1 |
| 13 | Almost periodic solution of Cohen-Grossberg neural networks with bounded and unbounded delays显示文摘 | Hongjun Xiang Jinde Cao | | 0，，： | 1 |
| 14 | Towards low carbon development in China:A comparison of national and global models显示文摘 | CHEN Wenying YIN Xiang ZHANG Hongjun | 2013 | Climatic Change2013，，1： | 1 |
| 15 | Towards low carbon development in China:A comparison of national and global models显示文摘 | CHEN Wenying YIN Xiang ZHANG Hongjun | 2013 | Climatic Change2013，，： | 1 |
| 16 | Design and experiment of reluctance electromagnetic launcher with new-style armature 显示文摘 | XIANG Hongjun LEI Bin LI Zhiyuan | 2013 | IEEE Transactions on Plasma Science2013，41，5： | 1 |
| 17 | Almost periodic solu- tions of recurrent neural networks with continuously dis- tributed delays显示文摘 | XIANG HONGJUN CAO JINDE | 2009 | Nonlinear Analysis2009，71，： | 1 |
| 18 | Exact solutions of heterogeneous elastic hollow cylinders 显示文摘 | SHI Zhifei ZHANG Taotao XIANG Hongjun | 2007 | Composite Structures2007，79，1： | 1 |
| 19 | A Comparative Study of Genetic Algorithm Parameters for the Inverse Problem-based Fault Diagnosis of Liquid Rocket Propulsion Systems显示文摘当有人驾驶的空间使命被伴随时,液体火箭推进系统(LRPS ) 的差错诊断特别地是在太空发射活动的一个很重要的问题,自从安全和可靠性能被利用一个有效差错诊断系统显著地提高。当前,反的基于问题的诊断在差错诊断领域吸引了很多研究注意。这方法论为监视推进系统的健康提供新策略给基于模型的差错诊断。解决从 LRPS 的差错诊断产生的反的问题,气体是在最近的年里被采用了第一并且可得到的数字优化工具的有效选择。然而, GA 有许多控制参数预先被选并且仍然在那里缺乏健全理论工具在诊断性能经分解上分析这些参数的效果。在这篇论文,诊断结果上的 GA 参数的影响的比较研究被执行一系列数字实验进行。这研究的目的是调查最后的诊断结果的单个算法参数的贡献并且为在 LRPS 的反的基于问题的差错诊断选择 GA 参数提供合理估计。一些建设性的评论在结论被做并且以后将对到 LRPS 的差错诊断实践的 GA 的实现有用。关键词液体火箭推进系统-反的问题-差错诊断-基因算法-比较学习这个工作被杨尔富收到了的中国(号码 50106005 )的国家自然科学基础支持他来自空间技术的学校的 B.E , M.E ,和博士学位,航空学和航天学的北京大学,中国在 1994 , 1996 ,和 1999 ,分别地。从 1999 年 9 月到 2001 年 9 月,他是在在清华大学的自动化的系的一个博士后的研究人员,中国。在 2001 年 9 月,他作为一个副教授加入了航空学和航天学的北京大学。作为 JSPS (为科学的提升的日本协会) 博士后的研究家伙,从 2001 年 11 月,到 2003 年 12 月,他在系工作了机械并且在东京工学院的控制系统工程,东京,日本。他的研究兴趣包括非线性的控制理论和应用程序,机器人学,多代理人系统,进程控制,机器学习,和差错诊断。他是 IEEE 的一个成员。项洪军从空间技术的学院收到了他的 B.E, M.E,和博士学位,航空学和航天学的北京大学,中国在 1994, 1997,和 2000,分别地。从 2000 ~ 2002,他是在在航空学和航天学的北京大学的液体动力学的研究所的一个博士后的研究人员。他现在是空间技术的学院里的一个副教授。他的主要研究兴趣为火箭引擎,二阶段的液体动力学,和新推进技术的内部流动包括数字模拟,等等。Dongbing Gu 收到了学士在 1985 的度和在从北京工学院的自动控制的在 1988 两个的硕士学位,中国。他从艾塞克斯大学在 2004 在计算机科学收到了博士学位,英国。他在艾塞克斯大学在 2000 成为了计算机科学的一个讲师。他是在设计科学的系的一个访问学者,牛津大学,英国,从 1996 年 10 月到 1997 年 9 月,财政上从英国委员会由 SBFSS 的奖学金支持了。从 1988 ~ 2000,他在科技的长春大学在电子工程的系工作了,中国。他在杂志和会议出版了超过 40 篇论文,并且在中国收到了几件研究奖品。他的当前的研究兴趣包括预兆的控制,分布式的控制,机器学习,并且统计图象处理。他是 IEEE 的一个成员。张振鹏是空间技术的学院里的一个教授,航空学和航天学的北京大学,中国。从 1987 ~ 1989,他是在在乔治亚工学院的太空工程的系的一个访问学者,美国。他是空间技术的学院的负责人,航空学和航天学的北京大学。他在杂志并且在会议出版了超过 3 本书和许多论文。他的研究兴趣包括液体和稳固的火箭引擎,二阶段的液体动力学,气体动力学,健康监视和差错为火箭推进系统的诊断,和新推进技术,等等。 | Erfu Yang Hongjun Xiang Dongbing Gu Zhenpeng Zhang | 2007 | International Journal of Automation and computing2007，4，3： | 1 |
| 20 | Almost periodic solu- tion of Cohen-Grossberg neural networks with bounded and unbounded delays显示文摘 | XIANG HONGJUN CAO JINDE | 2009 | Nonlinear Analysis: Real World Applications2009，10，： | 1 |
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