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Methodology of network pharmacology for research on Chinese herbal medicine against COVID-19:A review

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Journal of Integrative Medicine 2022年第6期20卷 477-487页

作者： Yi-xuan Wang Zhen Yang Wen-xiao Wang Yu-xi Huang Qiao Zhang Jia-jia Li Yu-ping Tang shi-jun yue Key Laboratory of Shaanxi Administration of Traditional Chinese Medicine for TCM Compatibility State Key Laboratory of Research&Development of Characteristic Qin Medicine Resources(Cultivation)and Shaanxi Collaborative Innovation Center of Chinese Medicinal Resources IndustrializationShaanxi University of Chinese MedicineXi’an 712046Shaanxi ProvinceChina Department of Scientific Research Shaanxi Provincial People’s HospitalXi’an 710068Shaanxi ProvinceChina

Traditional Chinese medicine,as a complementary and alternative medicine,has been practiced for thousands of years in China and possesses remarkable clinical ***,systematic analysis and examination of the mechanistic links between Chinese herbal medicine(CHM)and the complex human body can benefit contemporary understandings by carrying out qualitative and quantitative *** increasing attention,the approach of network pharmacology has begun to unveil the mystery of CHM by constructing the heterogeneous network relationship of“herb-compound-target-pathway,”which corresponds to the holistic mechanisms of *** integrating computational techniques into network pharmacology,the efficiency and accuracy of active compound screening and target fishing have been improved at an unprecedented *** review dissects the core innovations to the network pharmacology approach that were developed in the years since 2015 and highlights how this tool has been applied to understanding the coronavirus disease 2019 and refining the clinical use of CHM to combat it.

关键词： Chinese traditional medicine Herbal medicine Network pharmacology Compound identification COVID-19

Elucidating the interaction of kansui and licorice by comparative plasma/tissue metabolomics and a heatmap with relative fold change

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Journal of Pharmaceutical Analysis 2019年第5期9卷 312-323页

作者： Yan-Yan Chen Juan Shen Yu-Ping Tang Jin-Gao Yu Jing Wang shi-jun yue Jie Yang Jia-Qian Chen Li-Mei Feng Zhen-Hua Zhu Wei-Wei Tao Li Zhang Jin-Ao Duan Key Laboratory of Shaanxi Administration of Traditional Chinese Medicine for TCM Compatibility State Key Laboratory of Research&Development of Characteristic Qin Medicine Resources(Cultivation)Shaanxi Key Laboratory of Chinese Medicine Fundamentals and New Drugs Researchand Shaanxi Collaborative Innovation Center of Chinese Medicinal Resources IndustrializationShaanxi University of Chinese MedicineXi’an 712046Shaanxi ProvinceChina Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicineand Jiangsu Key Laboratory for High Technology Research of TCM FormulaeNanjing University of Chinese MedicineNanjing 210023Jiangsu ProvinceChina

Although compatibility is highly advocated in traditional Chinese medicine (TCM), inappropriate combination of some herbs may reduce the therapeutic action and even produce toxic effects. Kansui and licorice, one of TCM “Eighteen Incompatible Medicaments”, are the most representative cases of improper herbal combination, which may still be applied simultaneously under given conditions. However, the potential mechanism of their compatibility and incompatibility is unclear. In the present study, two different ratios of kansui and licorice, representing their compatibility and incompatibility respectively, were designed to elucidate their interaction by comparative plasma/tissue metabolomics and a heatmap with relative fold change. As a result, glycocholic acid, prostaglandin F2a, dihydroceramide and sphinganine were screened out as the principal alternative biomarkers of compatibility group;sphinganine, dihydroceramide, arachidonic acid, leukotriene B4, acetoacetic acid and linoleic acid were those of incompatibility group. Based on the values of biomarkers in each tissue, the liver was identified as the compatible target organ, while the heart, liver, and kidney were the incompatible target organs. Furthermore, important pathways for compatibility and incompatibility were also constructed. These results help us to better understand and utilize the two herbs, and the study was the first to reveal some innate characters of herbs related to TCM “Eighteen Incompatible Medicaments”.

关键词： Comparative metabolomics Kansui Licorice Incompatibility Heatmap

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基于复合电源的PHEV电驱动控制系统设计

电气传动 2010年第11期40卷 40-43页

作者：吴雪芬史月俊常州工学院电子信息与电气工程学院常州213002 江苏大学电气信息工程学院江苏镇江212013

根据并联混合动力汽车(PHEV)的需求,对其电驱动控制系统进行设计。分析了一种基于电压空间矢量脉宽调制(SVPWM)算法的矢量控制方法,有效地实现了永磁同步电机(PMSM)驱动系统的控制。整个电驱动系统包括电源模块、控制模块、驱动模块、... 详细信息

根据并联混合动力汽车(PHEV)的需求,对其电驱动控制系统进行设计。分析了一种基于电压空间矢量脉宽调制(SVPWM)算法的矢量控制方法,有效地实现了永磁同步电机(PMSM)驱动系统的控制。整个电驱动系统包括电源模块、控制模块、驱动模块、逆变模块等主要部分,并提出由蓄电池和超级电容器共同组成的复合电源模块,进一步提高电动发电和制动能量回馈的性能。为验证设计的有效性,研制了小型功率平台,该平台TMS320F2812型DSP为主控CPU,基本实现所预期的功能。

关键词：混合动力汽车永磁同步电机电驱动系统复合电源数字信号处理器

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皮肤淋巴细胞浸润症1例

中国皮肤性病学杂志 2007年第2期21卷 115-117页

作者：朱英华史月君大连市皮肤病医院辽宁大连116021

患者女,57岁。右鼻背处皮疹2年余。结合临床特点、病理及免疫病理诊断皮肤淋巴细胞浸润症明确,给予以小剂量激素联合羟基氯喹、雷公藤多甙片、氨苯砜口服并联合外用制剂治疗,取得满意疗效。

关键词：皮肤淋巴细胞浸润症

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金属矿山边坡治理技术研究和分析

世界有色金属 2024年第20期 107-109页

作者：施跃军云南江川天湖化工有限公司云南江川652600

金属矿山开采规模地持续增大,使得其所面临的危险系数更高,尤其是极易出现边坡地质灾害,若未引用科学得当的治理技术,则会造成十分严重的后果。本文先探讨了金属矿山出现边坡地质灾害的根本原因,之后着重分析了金属矿山边坡治理技术,以... 详细信息

金属矿山开采规模地持续增大,使得其所面临的危险系数更高,尤其是极易出现边坡地质灾害,若未引用科学得当的治理技术,则会造成十分严重的后果。本文先探讨了金属矿山出现边坡地质灾害的根本原因,之后着重分析了金属矿山边坡治理技术,以期为边坡治理予以一定的借鉴价值,最大程度上规避与降低出现地质灾害的概率,达成综合治理目标。

关键词：金属矿山边坡地质灾害治理技术爆破作业

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基建项目的工程质量审计

山东交通科技 2013年第2期 87-88,90页

作者：时跃军中国人民武装警察部队交通第三支队四川江油621701

如何及早发现项目建设中存在的工程质量隐患,及时提出整改和加强管理的建议,促进质量管理,保障资金有效使用,各级审计机构在实施基建项目审计时,也都在积极思考解决这一问题的办法。

关键词：基建项目工程质量审计

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公路工程项目合理规避外部审计风险探讨

山东交通科技 2013年第3期 89-90页

作者：时跃军中国人民武装警察部队交通第三支队四川江油621701

总结了公路工程项目合理规避外部审计风险的方法。

关键词：工程项目规避审计风险

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基于一种改进粒子群算法的SVM参数选取

计算机应用 2009年第B12期29卷 176-178页

作者：史月俊周大为王玉光江苏大学电气信息工程学院江苏镇江212013

支持向量机作为一个新兴的数学建模工具已经被广泛地应用到很多工业控制领域中,其良好的泛化能力和预测精度在很大程度上受到其参数选取的影响。根据智能群体进化模式改进粒子群优化算法,利用模糊C均值聚类算法分类粒子群体,并用子群体... 详细信息

支持向量机作为一个新兴的数学建模工具已经被广泛地应用到很多工业控制领域中,其良好的泛化能力和预测精度在很大程度上受到其参数选取的影响。根据智能群体进化模式改进粒子群优化算法,利用模糊C均值聚类算法分类粒子群体,并用子群体最优点取代速度更新公式中的个体历史最优点,并利用该算法搜索支持向量机的最优参数组合。对比仿真实验表明:所提优化算法是支持向量机参数选取的有效算法,在非线性函数估计中体现出优良的性能。

关键词：粒子群算法模糊C均值聚类算法支持向量机参数选取

Targets capture by distributed active swarms via bio-inspired reinforcement learning

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 210-221页

作者： Kun Xu yue Li jun Sun Shuyuan Du Xinpeng Di Yuguang Yang Bo Li Institute of Biomechanics and Medical Engineering Applied Mechanics Laboratory Department of Engineering MechanicsTsinghua University Institute of Nuclear and New Energy Technology Tsinghua University Shanghai Aerospace Control Technology Institute Shanghai Key Laboratory of Aerospace Intelligent Control Technology College of Automation Engineering Nanjing University of Aeronautics and Astronautics

Natural swarms arranged from cells to herds are usually decentralized but display intriguing collective intelligence in coordinating individuals across large scales to efficiently achieve their common goals. Learning from nature may provide new strategies for controlling collective dynamics of synthetic swarms to accomplish specific functions. Here, we present a bioinspired computational framework that steers distributed active swarms to collectively capture and merge targets via reinforcement learning. We exploit collective milling structures of natural herds to cage the targets, and adopt a switching control policy inspired by sperms' chiral dynamics to optimize the trajectories of individuals, through which the active swarms can selforganize to enclose single or multiple distant targets in a dynamical, adaptive and scalable manner. There exists a critical swarm size, beyond which the excessive competition between agents would generate large mechanical forces, leading to capture instability but enabling the transition from short-distance to long-distance merging capture of multiple targets. This work provides physical insights into distributed active swarms and could offer a multilevel, decentralized strategy toward controlling swarm robotics in wide applications such as bio-medical devices, machine immunity, and target clearance.

关键词： swarm intelligence robotics multi-tasks artificial intelligence bionics