1.Based on the LDA topic model and linear regression method,the analysis and mining of the character-istics of the scientific popularization content on the"PSM medicine shield public welfare"official ac-count were conducted
Qiongtong FANG ; Xinrong WU ; Yishen CHEN ; Jiabi LIANG ; Huibin ZHAO ; Wenji LUO ; Meirong ZHANG
Modern Hospital 2025;25(9):1428-1432,1437
Objective Text mining of content characteristics of original science popularization articles on the WeChat public account"PSM Medicine Shield Public Welfare"based on LDA model and Linear Regression.Methods Through web crawling techniques,we collected 4,292 original pharmaceutical science popularization articles and associated comment data from the"PSM Drug Shield Public Welfare"WeChat Official Account to analyze the content distribution patterns and characteristics of pharmaceutical science communication.Employing Latent Dirichlet Allocation(LDA)modeling,we systematically categorized and mined article themes to identify public demand for science literacy and explore strategic directions for precision-targeted phar-maceutical science dissemination.Results The analysis of 4 292 original science popularization articles from the"PSM Medi-cine Shield Public Welfare"account showed an average readership of 1 815.73±4 385.31.Articles in headline positions,pub-lished on weekends,or using exclamatory titles achieved higher readership.Most articles(1 000-2 000 words)used direct-open-ing title strategies.Traditional Chinese medicines had the highest readership among drug categories.Top content categories in-cluded drug monographs,medicinal diets,disease medication guidance,myth clarification,and disease science.Linear regres-sion analysis identified headline placement,word count,title phrasing,title strategy,target audience,drug category,and content type as potential factors influencing readership.The LDA model with 9 s revealed key themes:management of drug adverse reac-tions,dermatological medication dosing,anti-infection effects of medicinal diets,and pediatric vaccination/health monitoring.Conclusion The"PSM Medicine Shield Public Welfare"WeChat account primarily disseminates pharmaceutical science content focusing on adverse drug reactions,pediatric medication safety,TCM-based health preservation,disease treatment protocols,symptom recognition guidelines,dosage optimization,and toxicity management.Pharmaceutical professionals should prioritize content length control,evidence-based title strategies,and thematic alignment with public health priorities during science commu-nication content creation.
2.Based on the LDA topic model and linear regression method,the analysis and mining of the character-istics of the scientific popularization content on the"PSM medicine shield public welfare"official ac-count were conducted
Qiongtong FANG ; Xinrong WU ; Yishen CHEN ; Jiabi LIANG ; Huibin ZHAO ; Wenji LUO ; Meirong ZHANG
Modern Hospital 2025;25(9):1428-1432,1437
Objective Text mining of content characteristics of original science popularization articles on the WeChat public account"PSM Medicine Shield Public Welfare"based on LDA model and Linear Regression.Methods Through web crawling techniques,we collected 4,292 original pharmaceutical science popularization articles and associated comment data from the"PSM Drug Shield Public Welfare"WeChat Official Account to analyze the content distribution patterns and characteristics of pharmaceutical science communication.Employing Latent Dirichlet Allocation(LDA)modeling,we systematically categorized and mined article themes to identify public demand for science literacy and explore strategic directions for precision-targeted phar-maceutical science dissemination.Results The analysis of 4 292 original science popularization articles from the"PSM Medi-cine Shield Public Welfare"account showed an average readership of 1 815.73±4 385.31.Articles in headline positions,pub-lished on weekends,or using exclamatory titles achieved higher readership.Most articles(1 000-2 000 words)used direct-open-ing title strategies.Traditional Chinese medicines had the highest readership among drug categories.Top content categories in-cluded drug monographs,medicinal diets,disease medication guidance,myth clarification,and disease science.Linear regres-sion analysis identified headline placement,word count,title phrasing,title strategy,target audience,drug category,and content type as potential factors influencing readership.The LDA model with 9 s revealed key themes:management of drug adverse reac-tions,dermatological medication dosing,anti-infection effects of medicinal diets,and pediatric vaccination/health monitoring.Conclusion The"PSM Medicine Shield Public Welfare"WeChat account primarily disseminates pharmaceutical science content focusing on adverse drug reactions,pediatric medication safety,TCM-based health preservation,disease treatment protocols,symptom recognition guidelines,dosage optimization,and toxicity management.Pharmaceutical professionals should prioritize content length control,evidence-based title strategies,and thematic alignment with public health priorities during science commu-nication content creation.
3.Analysis of Common Pathogens of Microorganism Examination and Drug Resistance in Our Hospital
Yishen CHEN ; Yingying YANG ; Jiabi LIANG ; Zhongsi HONG
China Pharmacy 2015;(29):4072-4076
OBJECTIVE:To investigate the distribution of common bacterial pathogens and their drug resistance in our hospi-tal,and to provide guidance for clinical treatment and promote rational drug use. METHODS:The results of microorganism cul-ture,isolation and identification,and drug sensitivity test were collected from our hospital during Aug. 2010-Sept. 2014. The isolat-ed pathogens and drug sensitivity were analyzed statistically. RESULTS:14 687 strains of bacterial pathogens were isolated or cul-tured in 4 years,among which 1 790 strains of Pseudomonas aeruginosas were most common Gram-negative bacterium,followed by 1 313 strains of Escherichia coli and 770 strains of Klebsiella pneumoniae,670 strains of Bauman acinetobacter;915 strains of Staphylococcus aureus were most common Gram-positive bacterium,followed by 223 strains of Enterococcus faecalis,98 strains of Staphylococcus haemolyticus;1 446 strains of Mycoplasma urealytium were the most common microorganism,followed by 769 strains of Candida albicans,187 strain of Mycoplasma hominis. CONCLUSIONS:Regular detection of bacteria distribution and bacterial resistance monitoring are conducive to understand the bacterial resistance of the medical institutions so as to provide guid-ance for clinical treatment and promote reasonable application of antibacterial drugs.
4.Therapeutic Efficacy and ADR Evaluation of Amphotericin B in the Treatment of AIDS Complicating with Fungal Infections
Zhongsi HONG ; Yishen CHEN ; Lin TIAN ; Jiabi LIANG ; Xiaobin ZHENG
China Pharmacy 2015;(23):3238-3240
OBJECTIVE:To evaluate therapeutic efficacy and ADR of amphotericin B in the treatment of AIDS combined with fungal infections retrospectively. METHODS:The cases of amphotericin B in the treatment of AIDS combined with fungal in-fections were collected our hospital. Total therapeutic efficacy,distribution of pathogenic bacteria,clearance rate and ADR were evaluated. RESULTS:89 patients were involved totally,among which 45 cases were marked effect,32 cases improved and 12 cas-es failed,with effective rate of 86.5%. The fungus were found or cultured in 76 cases,among which 64 strains were cleared,but 12 strains were not,with total clearance rate of 84.2%. There were 41 ADR cases(46.1%),while all completed the treatment ex-cept 2 developing severe renal failure(2.2%). CONCLUSIONS:Domestic amphotericin B could effectively treat AIDS complicat-ing with fungal infections,and the ADRs were acceptable.
5.Preparation and Formulation Optimization of Hyaluronic Acid-methyl Collagen-terpolymer/Adriamycin Compound Membranes-loaded Tomtalum Stent
Fei LI ; Jiabi LIANG ; Zhen QI ; Xinming GUO
China Pharmacy 2015;26(31):4424-4426
OBJECTIVE:To prepare Hyaluronic acid-methyl collagen-terpolymer (HEMA-MMA-MAA)/Doxorubicin com-pound membranes-loaded tantalum stent,and to optimize the formulation. METHODS:Electrostatic self-assembly reaction was ad-opted to prepare compound membranes using metal tantalum stent as carrier,hyaluronic acid,methyl collagen and terpolymer as ex-cipients. With 1 and 30 d accumulative release rate as index,orthogonal test was used to optimize mass concentrations of hyaluron-ic acid,methyl collagen and terpolymer,and validated. The drug release behavior in vitro were investigated. RESULTS:The opti-mal formulation was as hyaluronic acid 1 mg/ml,methyl collagen 4.5 mg/ml and terpolymer 100 mg/ml. 1 and 30 d accumulative release rates of prepared tantalum stent were 7.57%(RSD=2.3%,n=3) and 84.14%(RSD=2.1%,n=3),respectively. 20 d later,dissolution rate approximated to zero level rate of drug release. CONCLUSIONS:Hyaluronic acid-methyl collagen-terpoly-mer/Doxorubicin compound membranes-loaded tantalum stent with sustained-release property is prepared successfully.
6.Synthesis of N-acyl chitosan derivatives and investigation of chitosan-modified docetaxel liposomes in vitro
Liang GE ; Hai QIAN ; Hao GAO ; Yaojian CHENG ; Jiabi ZHU
Journal of China Pharmaceutical University 2009;40(6):519-523
Aim: Synthesized N-acylated chitosan(NAC) was used to anchor on the surface of plain docetaxel li-posomes( PDL) in order to to sustain drug release. Methods; NAC of low substitution degrees were prepared using hexanoic(C_6), lauric( C_(12)), and palmitic( C_(16)) anhydrides. W-palmitoyl chitosan was chosen to anchor the do-cetaxel liposomes. In vitro release profiles of conventional liposmes and the anchored liposomes was compared. Results: Hexanoic(C_6), lauric( C_(12)), and palmitic( C_(16)) -branched chitosans were synthesized. It was found that N-acylated chitosan-anchored DXL liposomes (NDL) increase stabilities of docetaxel liposomes. 70% of docetaxel was released from PDL in 24 hours but 39% from NDL Conclusion: Liposomes anchored by the low substituted N-acylated chitosan could decrease the drug release.

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