OBJECTIVE To establish an HPLC fingerprint of Xiao’er resuqing oral liquid， and to determine the contents of twelve index components. METHODS HPLC method was adopted. The determination was performed on Venusil MP C18 column with mobile phase consisting of acetonitrile-0.1% phosphate aqueous solution （gradient elution） at a flow rate of 1.0 mL/min. The detection wavelength was set at 210 nm， the column temperature was 30 ℃， the injection volume was 10 μL. HPLC fingerprint of Xiao’er resuqing oral liquid was established by using the Similarity Evaluation System of Chromatographic Fingerprint of TCM （2012 edition） to evaluate the similarity. The contents of 12 components were determined， including （R， S）-goitrin， 3，5-O-dicaffeoyl quinic acid， puerarin， forsythin， forsythoside A， chlorogenic acid， baicalin， saikosaponins d， wogonoside， baicalein， emodin and chrysophanol. RESULTS The similarity of HPLC fingerprints of 13 batches of Xiao’er resuqing oral liquid was greater than 0.97， and 14 common peaks were confirmed. The contents of the above 12 index components in 13 batches of Xiao’er resuqing oral liquid were as follows： 0.078-0.172， 1.564-2.736， 1.338-2.578， 0.426-0.872， 1.477-2.628， 1.396-2.447， 4.052-9.146， 0.367- 0.692， 1.974-4.674， 1.274-2.969， 0.085-0.167 and 0.155-0.307 mg/mL. CONCLUSIONS The established HPLC fingerprint and content determination methods have high accuracy and high specificity， which can be used for the quality evaluation of Xiao’er resuqing oral liquid.

In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.

In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.

Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM),artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However,the research on intelligent eye diagnosis still faces many challenges,including the lack of standardized and precisely labeled data,multi-modal information analysis,and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis,and explores the implications for the research of eye diagno-sis intelligence.First,a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next,the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last,the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary,research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.

[Objective]People infected with Hepatitis B are often divided into hepatitis B carriers and hepatitis B patients based on whether ALT is normal or not,and ALT ≥ 2UNL is one of the indications for clinical antiviral treatment,but no sufficient evidence to justify this. In order to explore the theoretical basis,the paper investigated the effects of hepatitis B virus(HBV) on hepatic stellate cells(HSCs).[Methods]A total of 132 chronic hepatitis B patients with different viral loads and ALT levels were randomly selected as the study subjects. Of these patients,those with ALT≥2UNL were treated with antiviral therapy and followed up for 24 weeks. The effects of HBV on HSCs before and after the treatment were compared and analyzed. HSCs proliferation was detected by MTT method,HSCs cell cycle by flow cytometry,and expression of TGF-β1,Smad3,Smad7,α-SMA,collagen Ⅰ,collgen Ⅲ mRNAs and corresponding proteins by RT-PCR and Western blotting,respectively.[Results]At the normal ALT level,HBV with different viral loads had no significant effect on the proliferation,cell cycle and cell secretion of the HSCs. At the abnormal ALT level,especially when ALT ≥ 2UNL,with the increase of virus loads,HSCs proliferation accelerated;cells in the G0/G1 phase decreased significantly and cells in the S and G2/M phases increased significantly;the expression of TGF-β1,Smad3,α-SMA,collagen Ⅰ,collgen Ⅲ mRNAs and corresponding proteins increased significantly,but Smad7 mRNA and protein expression decreased significantly,the differences were statistically significant. HBV showed a significantly lower effect on HSCs after the antiviral therapy than before.[Conclusions]This paper reveals the differential effects of HBV on HSCs at different ALT levels and presents a comparative analysis of the effects before and after the antiviral therapy,which provides a theroretical basis for identifying the ALT level as an indication for HBV antiviral therapy.

In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.

In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.

In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.

In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.

In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.