The research on rule of Acupoints and Massage Manipulations selection for Post-ischemic Stroke Constipation based on association rule and entropy clustering analysis

Constipation is a common complication of stroke,and it is increasing year by year,which is worthy of attention.In fact,as an effective treatment for Post-ischemic Stroke Constipation,massage has been recognized by doctors at home and abroad.However,In the known research reports,massage prescriptions are complicated,therefore,a simple and effective massage prescription is urgently needed to effectively guide the clinic and promote it.In this study,we used association rule and entropy clustering analysis methods to mine clinical literature on Post-ischemic Stroke Constipation in 7 databases,and combined with data analysis,traditional chinese massage theory and clinical practice,a core new prescription is summarized.The core new prescription of massage in treating Post-ischemic Stroke Constipation take tonifying spleen,nourishing Qi and generating Body Fluid,promoting Qi,invigorating the circulation of blood and eliminating phlegm as the principle of treatment,which is accord with the pathogenesis of this disease,can better guide the clinical practice and facilitate the popularization and application of massage therapy.

On static and spherically symmetric solutions of Starobinsky model

We investigate the problem of static and spherically symmetric solutions in the Starobinsky gravity model.By extending the Lichnerowicz and Israel theorems, William Nelson has demonstrated that the Schwarzschild solution is the unique static, spherically symmetric and asymptotically flat black hole solution in the Starobinsky model.However, Hong Lüet al.find that there are sign errors in the proof of Nelson.This raises the problem of whether Nelson’s proof is correct or not.In order to answer this question, we explore the corresponding solutions by using the Taylor series expansion method.We find that Nelson’s conclusion is indeed correct despite the flaw in the proof.

Mining the rules of acupoint selection and manipulation scheme of massage in reducing or substituting drug treatment of simple obesity based on association rules and entropy cluster analysis

Based on the data mining of clinical literature,we analyzed the characteristics of Acupoint Selection and manipulation in the clinical treatment of“simple obesity”,in order to optimize the compatibility of clinical acupoints,simplify the manipulation,and summarize the core prescription of Massage in the treatment of simple obesity.Methods:First we search and screen the clinical literature of Chinese Massage therapy for“simple obesity”by scholars at home and abroad.Then we analyze the Acupoint Selection and manipulation rules of Chinese Massage therapy for“simple obesity”by using data mining technology and traditional Chinese Medicine Inheritance assistant system.Finally we obtain the optimal new prescription based on complex system entropy clustering and unsupervised entropy hierarchical clustering analysis.Results:Fifty-seven prescriptions meeting the inclusion criteria were selected,including TIANSHU(ST25)(36),ZHONGWAN(RN12)(32),GUANYUAN(RN4)(30),ZUSANLI(ST36)(27),QIHAI(RN6)(23),“Stomach Meridians”(10),“Spleen Meridians”(8),Renmai(7),Abdomen(36),Umbilicus(8),Pressing(33),Holding(27),Pressing(26),and get 4 core Prescriptions like ST25-RN12-Renmai-Stomach Meridians-Abdominal Rub-Rubbing-Pushing thumb-Rubbing-Palm Pushing-Thumb Point Acupuncture-Palm Vibration and 4 new prescription of Massage manipulation for the treatment of simple obesity.Conclusion:The results of clinical diagnosis and treatment data are mined and analyzed by traditional Chinese medicine inheritance assistant system.The acupoint compatibility,manipulation rules and core prescriptions obtained can provide statistical basis and references for clinical Massage manipulation in the treatment of simple obesity.

Study on pharmacodynamic mechanism of compound Shuanghuanglian in prevention and treatment of pneumonia based on network pharmacology and association analysis

Background:Platform for prediction and analysis of Chinese medicine against coronavirus disease 2019(TCMAntiCOVID-19 V1.0)was used to explore the active ingredients,key targets and mechanisms of the compound coronavirus disease 2019(COVID-19),It will provide a reference for the clinical application of this prescription as a broad-spectrum agent in the prevention and treatment of pneumonia.It will also win valuable time for finding symptomatic Chinese medicine prescriptions and vaccine research and development.Methods:Set Banxia Tianma Baizhu decoction as the negative control.Qingfei Paidu decoction as the positive control,and use TCMAntiCOVID-19 V1.0 platform to predict the potential efficacy of compound Shuanghuanglian.We used the quantitative evaluation algorithm of multi-target drugs for the network disturbance of disease,by comparing the changes of network topological characteristics before and after drug intervention,and using the disturbance rate to evaluate the drug’s dryness for disease prediction.Using batman-TCM,the credibility card value of the target sets 20,then the target of traditional Chinese medicine composition is predicted,the heterogeneous network of traditional Chinese medicine composition-drug target-disease target is established.The interaction of related network is realized by JavaScript Visualization is realized,and cycloscape is edited.The average connectivity,the average shortest path length,the centrality of connectivity and the centrality of network compactness are calculated by using R’s iGraph package,and nulldistribution is used as the overall distribution to correct the disturbance rate of drugs to the real network,so as to evaluate the stability of network topology and explore its mechanism.Results:The key targets of COVID-19 were Aif1,Ccl2,Cdc20,Cxcl13,Fcer1g,Ido1,Ifng,Il10,Il1rnIl6,Ncf4,Ptger4,Spi1,Tnf,Xcl1;after the intervention,the average connectivity,the average shortest path length,the network connectivity centrality and the network tightness centrality were(2.31e+1),(2.41e+0),(6.21e−1),(1.68e−2)respectively;the total scores of network stability evaluation of drug intervention diseases were 18.29,12.59 and 19.10 respectively.Conclusion:Compound Shuanghuanglian can effectively break the stability of the disease network of COVID-19,and the overall effect of prevention and treatment of COVID-19 is close to that of the positive control Qingfei Paidu decoction,which is significantly better than that of the negative control Banxia Tianma Baizhu decoction.That is because compound Shuanghuanglian mainly acts on Aif1,Ccl2,Cdc20,Cxcl13,Fcer1g and other key targets.Compound Shuanghuanglian plays important role of inhibiting the inflammatory response of patients with COVID-19 and alleviating lung injury,so as to achieve the purpose of treating COVID-19.At the same time,in the initial stage of COVID-19 and other sudden infectious pneumoniausing compound Shuanghuanglian can win valuable time before finding symptomatic Chinese medicine prescription and vaccine research.