Objective:To summarize the medication law and academic experience of Professor Yuan Jinsheng in the treatment of angina pectoris (AP) of coronary heart disease (CHD) through R language data mining technique.Methods:The effective outpatient medical records of Professor Yuan Jinsheng in the treatment of AP of CHD from January 1, 2016 to September 30, 2023 were selected, and the R 4.2.3 was used for frequency statistics, association rule analysis, systematic clustering analysis and correlation analysis of prescription drugs.Results:A total of 292 prescriptions were included, including 268 patients, involving 204 kinds of Chinese materia medica, and the total frequency of Chinese materia medica was 4 253 times. The main properties were warm and neutral, the main tastes were bitter, pungent and sweet, and the main meridians were spleen, lung and liver meridians. The analysis of association rules obtained 125 core TCM combinations, and the commonly used drug pair was Trichosanthis Fructus-Aurantii Fructus Immaturus. The core prescription composed of Aurantii Fructus Immaturus, Chuanxiong Rhizoma, Trichosanthis Fructus, Citri Reticulatae Pericarpium and Salviea Miltiorrhizae Radix et Rhizoma. Seven TCM groups of were obtained by systematic clustering analysis. Correlation analysis showed that the drug pairs with phi coefficient greater than 0.6 were in 8 groups.Conclusions:Studies suggest that AP of CHD is located in the heart, which is related to lung, spleen, liver and kidney, deficiency in root and excess in superficiality, phlegm, blood stasis and qi stagnation are important pathological factors. The treatment is based on the basic principles of tonifying qi, promoting yang, relieving rheumatism, resolving phlegm, activating blood circulation, and promoting qi circulation. It embodies Professor Yuan's academic thoughts and principles of differentiation and treatments of "taking fluency as the main point, regulating the five internal organs and weighing the root and superficiality".

Objective To analyze the medication rules of traditional Chinese medicine in treating breast cancer based on real-world data mining.Methods Inpatients with breast cancer who received traditional Chinese medicine treatment at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from January 2017 to December 2021 were selected.Python 3.10 software was used to mine traditional Chinese medicine prescription data;SPSS 23.0 software was applied for descriptive analysis,and systematic cluster analysis was performed on high-frequency drugs.Results A total of 3026 consultation records of inpatients with breast cancer were collected.The main traditional Chinese medicine syndrome diagnosis of"predominantly liver depression and Qi stagnation"accounted for 60.94％of the total consultations.A total of 240 kinds of traditional Chinese medicine were used,with a cumulative frequency of 35 462 times.Among them,29 kinds of traditional Chinese medicine such as Danggui,Fuling,Baizhu,Chaihu had a cumulative usage frequency exceeding 300 times.Regarding the four natures of drugs,cold-natured(43.55％),warm-natured(30.05％),and neutral-natured(23.34％)drugs were predominant;In terms of five flavors,sweet(46.12％),bitter(30.91％),and pungent(20.02％)were the main ones.The most frequently used drugs were tonifying herbs(32.77％),followed by heat-clearing herbs(15.96％)and phlegm-resolving herbs(14.71％).Systematic cluster analysis yielded 7 groups of drug combinations.Conclusion In real-world clinical practice,traditional Chinese medicine for breast cancer mainly uses tonifying herbs,reflecting the traditional Chinese medicine principle of"strengthening healthy Qi and cultivating the root"in treating tumors.The four natures and five flavors of drugs follow syndrome differentiation and the combination of cold and heat.The clustered drug combinations have extensive therapeutic effects,covering various syndromes of breast cancer at different stages,which can provide a reference for clinical medication.

Objective:To organize and interpret the hot topics and development trends in the field of military medical education research over the past decade with the assistance of visualization software, and provide direction and reference for further study.Methods:Visualization software was used to retrieve relevant literature published worldwide from 2014 to 2023. A visualization analysis was performed on annual publication volume, authors, institutions, and keyword clustering.Results:The numbers of domestic and foreign articles were 452 and 121, respectively. Domestic research reached a peak in 2014 and increased again in 2019 and 2020. Foreign research remained stable from 2014 to 2018 and increased significantly in 2019 and 2020. There were 28 domestic authors and 5 foreign authors who published more than two papers. Domestic research was primarily led by Naval Medical University (47 papers) and Air Force Medical University (21 papers). Internationally, the United States (10 institutions) and Israel (2 institutions) were at the forefront of research in this field. Keyword cluster and label analysis identified 11 cluster labels for domestic research, revealing research hotspots such as curriculum content reform in military medical universities, ideological and political education, practical training for general military doctors, and the improvement of military-civilian integrated medical service capabilities. Foreign research yielded 10 cluster labels, highlighting research hotspots such as emergency medical simulation training, health care, and psychological therapy intervention. Nine burst keywords were identified in both domestic and foreign literatures, indicating a recent domestic focus on job competency and a foreign emphasis on psychological impacts.Conclusions:Over the past decade, domestic research primarily focused on military medical school education reform and grassroots military medical officer education. In the last three years, the emphasis shifted towards the post competency of military medical staff. In contrast, international research centered on public health emergency medicine and health service management, with a shift in the past three years toward addressing both physiological and psychological issues.

The scaphoid bone is one of the important bone of hand,which is frequently injured and difficult to treat in clinical practice.Therefore,it is very important to deeply study the microstructure and biomechanical characteristics of the scaphoid bone for understanding its injury mechanism and optimizing treatment scheme.Microcomputed tomography(micro-CT)provides high-resolution imaging of bone tissue,while finite element analysis can help to simulate the stress distribution and behavioral patterns of the scaphoid bone under various physiological and pathological states.The high-resolution three-dimensional image of the scaphoid bone obtained by micro-CT technology can be used to construct finite element models of real anatomical structure of the scaphoid bone,thus achieving accurate simulation of the mechanical properties of the scaphoid bone.The fusion of these two advanced technologies provides a new perspective for revealing the structural and functional relationships and injury mechanism of the scaphoid bone.Therefore,this paper reviews the anatomical characteristics of the scaphoid bone and its biomechanical behavior in different states,emphasizing the specific applications and advantages of micro-CT and finite element analysis techniques in the study of the scaphoid bone.By summarizing the research findings in recent years,this paper provides novel scientific basis and methods for the diagnosis,treatment,and prevention of scaphoid bone-related disorders.

Objective:To examine the validity and reliability of the Chinese version of the Mentalization Questionnaire(MZQ)in a sample of Chinese college students.Methods:Totally 3 985 college students were select-ed and randomly divided into Sample 1(n=1 992)and Sample 2(n=1 993).Sample 1 was used to test explorato-ry factor analysis,Sample 2 was used to test criterion-related validity and internal consistency reliability.Totally 596 students were randomly selected from Sample 2,which was subjected to validation factor analysis.After 1 week of initial testing,85 individuals were randomly selected from the total sample for retesting.The Reflective Functioning Questionnaire(RFQ-8)was used to test criterion-related validity.Results:Multiple exploratory factor analyses were conducted on the single-factor structure,and 9 items were finally retained.Validation factor analyses indicated a good fit of the single-factor structure(x2=131.01,x2/df=4.83,P＜0.001,NFI=0.94,CFI=0.95,GFI=0.95,IFI=0.95,TLI=0.93,RMSEA=0.08).The Chinese version of the MZQ scores were negatively correlated with the RFQ-C scores(r=-0.59,P＜0.01),and positively correlated with the RFQ-U scores(r=0.28,P＜0.01).The Cronbach α coefficient of the Chinese version of MZQ was 0.89,and the retest reliability(ICC)was 0.82.Conclusion:The Chinese version of the Mentalization Questionnaire(MZQ)has ideal validity and reliability in Chinese college students.

Objective:To examine the validity and reliability of the Chinese version of the Mentalization Questionnaire(MZQ)in a sample of Chinese college students.Methods:Totally 3 985 college students were select-ed and randomly divided into Sample 1(n=1 992)and Sample 2(n=1 993).Sample 1 was used to test explorato-ry factor analysis,Sample 2 was used to test criterion-related validity and internal consistency reliability.Totally 596 students were randomly selected from Sample 2,which was subjected to validation factor analysis.After 1 week of initial testing,85 individuals were randomly selected from the total sample for retesting.The Reflective Functioning Questionnaire(RFQ-8)was used to test criterion-related validity.Results:Multiple exploratory factor analyses were conducted on the single-factor structure,and 9 items were finally retained.Validation factor analyses indicated a good fit of the single-factor structure(x2=131.01,x2/df=4.83,P＜0.001,NFI=0.94,CFI=0.95,GFI=0.95,IFI=0.95,TLI=0.93,RMSEA=0.08).The Chinese version of the MZQ scores were negatively correlated with the RFQ-C scores(r=-0.59,P＜0.01),and positively correlated with the RFQ-U scores(r=0.28,P＜0.01).The Cronbach α coefficient of the Chinese version of MZQ was 0.89,and the retest reliability(ICC)was 0.82.Conclusion:The Chinese version of the Mentalization Questionnaire(MZQ)has ideal validity and reliability in Chinese college students.

Objective:To organize and interpret the hot topics and development trends in the field of military medical education research over the past decade with the assistance of visualization software, and provide direction and reference for further study.Methods:Visualization software was used to retrieve relevant literature published worldwide from 2014 to 2023. A visualization analysis was performed on annual publication volume, authors, institutions, and keyword clustering.Results:The numbers of domestic and foreign articles were 452 and 121, respectively. Domestic research reached a peak in 2014 and increased again in 2019 and 2020. Foreign research remained stable from 2014 to 2018 and increased significantly in 2019 and 2020. There were 28 domestic authors and 5 foreign authors who published more than two papers. Domestic research was primarily led by Naval Medical University (47 papers) and Air Force Medical University (21 papers). Internationally, the United States (10 institutions) and Israel (2 institutions) were at the forefront of research in this field. Keyword cluster and label analysis identified 11 cluster labels for domestic research, revealing research hotspots such as curriculum content reform in military medical universities, ideological and political education, practical training for general military doctors, and the improvement of military-civilian integrated medical service capabilities. Foreign research yielded 10 cluster labels, highlighting research hotspots such as emergency medical simulation training, health care, and psychological therapy intervention. Nine burst keywords were identified in both domestic and foreign literatures, indicating a recent domestic focus on job competency and a foreign emphasis on psychological impacts.Conclusions:Over the past decade, domestic research primarily focused on military medical school education reform and grassroots military medical officer education. In the last three years, the emphasis shifted towards the post competency of military medical staff. In contrast, international research centered on public health emergency medicine and health service management, with a shift in the past three years toward addressing both physiological and psychological issues.

The scaphoid bone is one of the important bone of hand,which is frequently injured and difficult to treat in clinical practice.Therefore,it is very important to deeply study the microstructure and biomechanical characteristics of the scaphoid bone for understanding its injury mechanism and optimizing treatment scheme.Microcomputed tomography(micro-CT)provides high-resolution imaging of bone tissue,while finite element analysis can help to simulate the stress distribution and behavioral patterns of the scaphoid bone under various physiological and pathological states.The high-resolution three-dimensional image of the scaphoid bone obtained by micro-CT technology can be used to construct finite element models of real anatomical structure of the scaphoid bone,thus achieving accurate simulation of the mechanical properties of the scaphoid bone.The fusion of these two advanced technologies provides a new perspective for revealing the structural and functional relationships and injury mechanism of the scaphoid bone.Therefore,this paper reviews the anatomical characteristics of the scaphoid bone and its biomechanical behavior in different states,emphasizing the specific applications and advantages of micro-CT and finite element analysis techniques in the study of the scaphoid bone.By summarizing the research findings in recent years,this paper provides novel scientific basis and methods for the diagnosis,treatment,and prevention of scaphoid bone-related disorders.

Objective To analyze the medication rules of traditional Chinese medicine in treating breast cancer based on real-world data mining.Methods Inpatients with breast cancer who received traditional Chinese medicine treatment at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from January 2017 to December 2021 were selected.Python 3.10 software was used to mine traditional Chinese medicine prescription data;SPSS 23.0 software was applied for descriptive analysis,and systematic cluster analysis was performed on high-frequency drugs.Results A total of 3026 consultation records of inpatients with breast cancer were collected.The main traditional Chinese medicine syndrome diagnosis of"predominantly liver depression and Qi stagnation"accounted for 60.94％of the total consultations.A total of 240 kinds of traditional Chinese medicine were used,with a cumulative frequency of 35 462 times.Among them,29 kinds of traditional Chinese medicine such as Danggui,Fuling,Baizhu,Chaihu had a cumulative usage frequency exceeding 300 times.Regarding the four natures of drugs,cold-natured(43.55％),warm-natured(30.05％),and neutral-natured(23.34％)drugs were predominant;In terms of five flavors,sweet(46.12％),bitter(30.91％),and pungent(20.02％)were the main ones.The most frequently used drugs were tonifying herbs(32.77％),followed by heat-clearing herbs(15.96％)and phlegm-resolving herbs(14.71％).Systematic cluster analysis yielded 7 groups of drug combinations.Conclusion In real-world clinical practice,traditional Chinese medicine for breast cancer mainly uses tonifying herbs,reflecting the traditional Chinese medicine principle of"strengthening healthy Qi and cultivating the root"in treating tumors.The four natures and five flavors of drugs follow syndrome differentiation and the combination of cold and heat.The clustered drug combinations have extensive therapeutic effects,covering various syndromes of breast cancer at different stages,which can provide a reference for clinical medication.

ObjectiveTo provide technical support for the molecular surveillance of pathogenic bacteria strains carrying mobile colistin resistance-1 （mcr⁃1） gene isolate from inlet of wastewater treatment plants （WWTP）. MethodsThe Enterobacteriaceae strains carrying mcr⁃1 resistance gene isolate from inlet of WWTP during April 1 to June 30， 2023 in Shanghai were cultured on blood-rich and SS culture medium and were identified using a mass spectrometry analyzer. The mcr⁃1 gene and copy number were detected by real-time fluorescence quantitative PCR. Drug susceptibility test was performed by microbroth dilution method. The copy numbers of Escherichia coli carrying mcr⁃1 gene isolated from wastewater and human fecel were statistically analyzed by SPSS 25.0. ResultsA total of 14 strains carrying the mcr⁃1 gene were isolated from 49 WWTP samples， and the positive isolation rate was 28.6%， including 12 non-diarrheal E. coli strains and 2 Klebsiella pneumoniae strains. The drug susceptibility results showed that all 14 strains were multi-drug resistant bacteria. They were all sensitive to imipenem and tigecycline， but were ampicillin- and cefazolin-resistant. There was no significant difference in the copy number between human-sourced diarrheal E. coli and wastewater-sourced non-diarrheal E. coli （t=0.647， P>0.05）. ConclusionThe isolation and identification of strains carrying the mcr⁃1 gene from inlet of WWTP samples were firstly established in Shanghai. The multi-drug resistance among the isolated strains is severe. To effectively prevent and control the spread of colistin-resistant bacteria， more attention should be paid to the surveillance of mcr⁃1 gene.