A study on the rule of Chinese medicine use against influenza virus based on data mining

Background:To summarize the rules of the use of traditional Chinese medicine against influenza virus in the high-quality literatures of core journals,and to provide guidance for the prevention and treatment of influenza.Methods:Excel 2010 and ancient and modern medical case cloud platform(2.5V)were used to summarize the categories,nature,flavour and channel tropism of drugs.The cluster analysis of high-frequency drugs was carried out by SPSS 22.0,and the association rules of high-frequency drugs were analyzed by Apriori algorithm provided by SPSS modeler 18.0.Results:One thousand one hundred and thirty-one articles from core journals were retrieved and 135 articles were screened out,including 109 prescriptions and 170 drugs,with a total frequency of 1,655 times.The 3 most frequently appeared herbs were Gancao(Glycyrrhizae radix et rhizoma),Jinyinhua(Lonicerae japonicae flos)and Lianqiao(Forsythiae fructus).The top 3 efficacy were“Heat-Clearing(remove heat from the body surface and inside)”drugs,drugs for“Relieving Exterior Disorder(treat fever,chills and headaches caused by pathogenic substances in the air)”,and“Phlegm Relieving Cough Antiasthmatic Medicine(relieves respiratory cough and sputum symptoms)”drugs.The top 3 nature of drugs were cold,warm and flat.The top 3 flavour of drugs were bitter,spicy and sweet.The top 5 channel tropism of drugs were“Lung”,“Stomach”,“Heart”,“Spleen”,“Liver”.Association rule yields 20 drug pairs,Jingjie(Schizonepetae herba),Forsythiae fructus,Lonicerae japonicae flos,Niubangzi(Arctii fructus),Mahuang(Ephedrae herba)and Glycyrrhizae radix et rhizoma were commonly used concerted application;four new methods were obtained by cluster analysis.Conclusion:The use of traditional Chinese medicine against influenza virus has a certain regularity,which provides an important reference value for the prevention and treatment of influenza.

A study on the rule of Chinese medicine use for airway remodeling based on data mining

Objective:Use data mining techniques to explore the rule of Chinese medicine used for airway remodeling.Methods:Search the literature on Chinese medicine use for airway remodeling in the past 20 years.With the help of WPS Office Excel 11.1,IBM SPSS Statistics 23.0 and SPSS Modeler 18.0 software,prescriptions were analyzed for the frequency of drug use,the four natures,the five flavours and the channel tropism,cluster analysis and association analysis of high-frequency drugs.Results:There were 58 Chinese medicine prescriptions for airway remodeling be found,involving 105 Chinese medicines,the most frequent channel tropism were spleen,stomach,lung,large intestine,liver and gallbladder,the most frequent use of the five flavors was sour,sweet and pungent,the highest frequency of the four natures was cold and hot,cluster analysis yielded eight drug aggregation groups,and association rule analysis yielded five groups of high-frequency drug pairs.Conclusion:The main TCM treatments for airway remodeling are expelling phlegm,relieving cough,asthma calming,expelling blood stasis and deficiency tonifying.The results of this study can provide ideas for compounding and drug selection for subsequent studies.

Comparison of epidemiological characteristics COVID-19 Delta variant infection among children in Xi'an and Baoji

Objective:To explore the epidemiological characteristics of Corona Virus Disease 2019(COVID-19)Delta variant infection in children in Xi'an and Baoji.Methods:According to the official information released by Shaanxi Province,the information of confirmed cases in Xi'an(December 20,2021 to January 8,2022)and Baoji(March 8 to March 27,2022)were collected respectively.Records include age,sex,residential address,community and other basic information.Isolation mode,isolation time,morbidity and positive time of viral nucleic acid test,vaccination,clinical typing,close contact personnel,cluster incidence situation and the social activity tracking of the confirmed cases were collected,and the data were statistically analyzed.Results:In 20 days,there were 281 infected children in Xi'an,accounting for 14.48%of the total cases(1,940 cases),including 154 boys(54.8%)and 127 girls(45.20%).The number of diagnosed children in Baoji City(55 cases)is 19.57%of that in Xi'an(55/281),but accounts for 23.31%of the total number of cases(236 cases)in Baoji(this ratio is higher than that of 14.48%in Xi'an).Among the 55 cases of children,there are 33 males(60.00%)and 22 females(40.00%).The proportion of male children in both cities is higher.The median age of diagnosed children in Xi'an was 7.0 years(IQR:1.0-13.0 years old),and the age range was 4 d-18 years old,while the median age of Baoji children was 9.0 years old(IQR:5.0-17.0 years old),ranging from 3 months to 18 years old.The number of children vaccinated in Xi'an and Baoji was positively correlated with the number of infected children.The vaccination rates of children in Xi'an and Baoji were 64.06%and 52.73%,respectively.The vaccination rates of infants(≤1 year old)in both cities were 18.52%and 14.29%,respectively.On the whole,the number of new child cases in the two cities increased first and then decreased.The peak number of new child cases in Xi'an was 39(10th day of statistics),while that of Baoji was 13(6th day of statistics).The peak in Xi'an comes later and the epidemic lasts longer.Among the children in Xi'an,201(71.53%)had a history of close contact,55(19.57%)had no clear history of COVID-19 infection,and were positive after actively participating in the nucleic acid test of all members of the community,of which 54(98.18%)were primary and middle school students.54 cases(98.18%)of Baoji children had a history of close contact,of which 20 cases were infected by the confirmed case number 62 officially announced on March 10.The time to be positive for viral nucleic acid test in children after isolation was 1-14 days.The positive rate of children in Xi'an reached 85.41%(240/281)after 7 days of isolation,and the highest peak of positive detection was on the third day of isolation(84 cases).After 7 days of isolation,45 cases were positive in Baoji,accounting for 81.82%(45/55).The highest peak of positive detection was on the 5th day of isolation(11 cases).The regional distribution of infected children in Xi'an was the highest in Yanta District(137 cases),followed by High-tech Zone(42 cases)and Lianhu District(29 cases).The main manifestations of COVID-19 in Xi'an were light(278 cases,98.93%),common type(3 cases,1.07%),light in Baoji(54 cases,98.18%),and common type(1 case,1.82%).Through general clinical treatment(including traditional Chinese medicine treatment and symptomatic treatment),all were cured.Conclusion:Delta variant increases the susceptibility of children to infection,which spreads rapidly mainly through close family contact and community concealment,so it is necessary to study better early diagnosis and prevention and control measures.

Improving phase transition temperature of VO_(2) via Ge doping:a combined experimental and theoretical study

Enhancing the semiconductor-metal phase transition temperature(TSMT)of VO_(2) is of great consequence for further exploring the potential applications of VO_(2) at elevated temperatures.In this study,Ge^(4+)-doped VO_(2)(Ge_(x)V_(1-x)O_(2))samples were prepared by the hydrothermal and annealing approach.X-ray diffraction(XRD),high-resolution transmission electron microscopy(HRTEM),differential scanning calorimetry(DSC)and resistivity-temperature(R-T)analyses were used to investigate the influence of Ge doping on the lattice structures and phase transition properties of Ge_(x)V_(1-x)O_(2) samples.We found that the lattice parameter of Ge_(x)V_(1-x)O_(2) decreased with the Ge concentration increasing from 2 at%to 18 at%,which was further supported by density functional theory(DFT)-based first-principle simulations.TSMT firstly increased from 64.5 to 73.0℃ at 8 at% Ge and then decreased to 71.5℃ at higher Ge concentration.Furthermore,DFT analysis revealed that the impact of lattice distortion induced by Ge doping rather than the changes in electronic structure is more pronounced on modulating TSMT of Ge_(x)V_(1-x)O_(2).The present work has pointed out the direction that the TSMT could be enhanced and illustrated the physical reason behind the regulation of TSMT in ionsdoped VO_(2) systems.