OBJECTIVE Based on comment texts from the Weibo platform， this study adopts the text mining method to systematically analyze the public’s emotional attitudes and core concerns of “medical insurance reimbursement”， and explore the public’s real experiences and feedback in the implementation of the current system. METHODS With “medical insurance reimbursement” as the keyword， Python web crawler technology was used to collect Weibo comment texts from December 2023 to April 2025. Word frequency analysis， sentiment analysis， semantic network analysis and Latent Dirichlet Allocation （LDA） topic models were adopted to mine the in-depth features of comment texts and investigate the public’s concerns and emotional attitudes toward “medical insurance reimbursement”. RESULTS A total of 3 645 valid comment texts were obtained. The overall emotional of the public toward “medical insurance reimbursement” was weakly positive： 66.4% of the comments contained positive emotions， and 32.4% contained negative emotions. Semantic network analysis indicated that positive public emotions mainly centered on the achievements of medical insurance reform and the improvement of security level， while negative emotions mainly focused on reimbursement rules， economic burden and the implementation of medical insurance policies. The LDA model identified eight core themes， mainly including access of new drugs to medical insurance catalogs， medical insurance support for traditional Chinese medicine and biomedicine， disputes over medical insurance coverage of specific medical items， cross-regional medical treatment and medical insurance settlement， medical insurance reimbursement and medical burden， as well as the approval of innovative drugs and medical insurance payment. CONCLUSIONS The public generally holds a positive attitude toward “medical insurance reimbursement”， yet still has many expectations in terms of policy implementation. On the premise of guaranteeing the sustainability of medical insurance funds， it is suggested to further improve the transparency and fairness of the reimbursement process， and promote the scientific， standardized and efficient development of the medical insurance system. Meanwhile， attention should be paid to public opinion feedback on social media， and the policy communication mechanism should be strengthened， so as to enhance the public’s sense of gain and trust in the medical insurance system.

OBJECTIVE Based on comment texts from the Weibo platform， this study adopts the text mining method to systematically analyze the public’s emotional attitudes and core concerns of “medical insurance reimbursement”， and explore the public’s real experiences and feedback in the implementation of the current system. METHODS With “medical insurance reimbursement” as the keyword， Python web crawler technology was used to collect Weibo comment texts from December 2023 to April 2025. Word frequency analysis， sentiment analysis， semantic network analysis and Latent Dirichlet Allocation （LDA） topic models were adopted to mine the in-depth features of comment texts and investigate the public’s concerns and emotional attitudes toward “medical insurance reimbursement”. RESULTS A total of 3 645 valid comment texts were obtained. The overall emotional of the public toward “medical insurance reimbursement” was weakly positive： 66.4% of the comments contained positive emotions， and 32.4% contained negative emotions. Semantic network analysis indicated that positive public emotions mainly centered on the achievements of medical insurance reform and the improvement of security level， while negative emotions mainly focused on reimbursement rules， economic burden and the implementation of medical insurance policies. The LDA model identified eight core themes， mainly including access of new drugs to medical insurance catalogs， medical insurance support for traditional Chinese medicine and biomedicine， disputes over medical insurance coverage of specific medical items， cross-regional medical treatment and medical insurance settlement， medical insurance reimbursement and medical burden， as well as the approval of innovative drugs and medical insurance payment. CONCLUSIONS The public generally holds a positive attitude toward “medical insurance reimbursement”， yet still has many expectations in terms of policy implementation. On the premise of guaranteeing the sustainability of medical insurance funds， it is suggested to further improve the transparency and fairness of the reimbursement process， and promote the scientific， standardized and efficient development of the medical insurance system. Meanwhile， attention should be paid to public opinion feedback on social media， and the policy communication mechanism should be strengthened， so as to enhance the public’s sense of gain and trust in the medical insurance system.

The operating room is the core settings of various surgical treatments, and exhibits distinct attributes and systemic complexities. Medical staff who work long term in operating rooms face multiple exposures to potential health hazards. Especially with the progress of electrosurgical technology and the frequent use of electrosurgical equipment, the possible health effects of the resulting electrosurgical smoke to those working in operating rooms have gradually attracted attention. This paper reviewed the composition, hazard, exposure risk monitoring, and protective measures of electrosurgical smoke, aiming to deepen the understandings of potential health risks of electrosurgical smoke, improve the self-protection awareness of medical staff, strengthen attention to electrosurgical smoke protection in all hospitals, and ensure the occupational safety of medical staff.

AIM: To explore the clinical efficacy of 25G minimally invasive vitrectomy combined with 41G ultra-micro subretinal injection of tissue plasminogen activator(t-PA)in the treatment of subretinal hemorrhage(SMH).METHODS: Retrospective study. A totally 60 patients(60 eyes)who visited the Ophthalmology Department of Yuebei People's Hospital from June 2022 to September 2024 and were diagnosed with submacular hemorrhage were selected. According to different treatment methods, they were divided into a control group of 30 eyes(25G vitrectomy combined with intravitreal injection of t-PA)and an observation group of 30 eyes(25G vitrectomy combined with 41G subretinal injection of t-PA). The complete clearance rate of macular hemorrhage, best corrected visual acuity(BCVA), changes in intraocular pressure, central retinal thickness(CRT), the occurrence of postoperative complications were observed in the two groups of patients.RESULTS:The two groups of general data are comparable. After treatment for 7 d, the rate of complete clearance of macular hemorrhage was higher in the observation group than in the control group(100% vs 80%, P<0.05). There was no significant difference between the two groups in the comparison of BCVA at 1 d and 6 mo postoperatively(all P>0.05), and in the comparison of BCVA between the two groups at 7 d, 1, and 3 mo postoperatively, BCVA of the observation group was better than that of the control group(all P<0.05); and the intraocular pressure of the observation group was lower than that of the control group at 1 d, 7 d, and 1 mo postoperatively(all P<0.05), and there was no significant difference between the two groups in the comparison of intraocular pressure at 3 and 6 mo postoperatively(all P>0.05). There was no significant difference between the two groups in the comparison of CRT at 1 d and 6 mo postoperatively(all P>0.05), and CRT was lower than that of the control group at 7 d, 1 and 3 mo postoperatively(all P<0.05). The total incidence of complications in the observation group was not statistically different from that in the control group(0 vs 10%, P>0.05).CONCLUSION: The 25G minimally invasive vitrectomy combined with 41G ultra-microsubretinal injection of t-PA is more efficient in removing subretinal hemorrhage, promotes early anatomical restoration, and has a comparable long-term visual prognosis to the conventional method, with a favorable safety profile.

The mother formula of Ruyizhenbao formula was the 25-flavor Zhumu Fang recorded in the Four Medical Codes,which was called Ruyi 25-flavor Zhumu Fang in the 16th century book Tibetan Medicine Ruyi Daquan.Later,in the book Qianwan Sheli,licorice was added to the formula,forming a 26-flavor basic formula of Ruyizhenbao.With the development of Tibetan medicine history,various doctors added and subtracted medicinal flavors to the basic formula.Finally,it was developed by Qinrenorbu into Ruyizhenbao formula composed of 30 herbs,which was published in the Treasure Source of Tibetan Medicine Secrets and was included in the Drug Standard of the Ministry of Health(Tibetan medicine)in 1995,becoming the formula standard of Ruyizhenbao formula.Through systematically sorting out Tibetan medicine literature from past dynasties,the formula name,medicinal taste composition,and changes of Ruyizhenbao formula recorded in different literature was comprehensively analyzed.Through primary literature research,the various claims about the origin of Ruyizhenbao formula published to date have been verified one by one to clarify its past and present,and to clarify its origin.The mother formula of Ruyizhenbao is the 25-flavor mother powder recorded in the Four Medical Codes.The basic formula is the Ruyizhenbao formula composed of 26 herbs in Qianwan Sheli,and the standard formula is the Ruyizhenbao formula composed of 30 herbs in the Treasure Source of Tibetan Medicine Secrets.

Objective To explore the clinical value of clinical combined MRI scoring scale in predicting placenta previa with pla-centa accreta spectrum disorders(PAS).Methods The clinical and MRI data of 96 pregnant women with placenta previa were ana-lyzed retrospectively,including 37 cases in the non-PAS group and 59 cases in the PAS group.In the PAS group,there were 14 cases in the placenta accreta(PA)group,33 cases in the placenta increta(PI)group and 12 cases in the placenta percreta(PP)group.The differences in clinical and imaging features of the variables between non-PAS,PA,PI,and PP groups were analyzed to establish a sco-ring scale,and the receiver operating characteristic(ROC)curves were used to calculate the critical values of the different groups.Results Ten clinical and 15 imaging features were included for evaluation,there were statistically significant differences in 14 indicators,including the number of caesarean sections,placental thickness,abnormal subplacental vessels,and short T2 signal bands within the placenta(P<0.05).Incorporate the above indicators into the MRI scoring scale.The ROC curves showed that the area under the curve(AUC)of the MRI scoring scale analyzed diagnostic non-PAS group versus PA group was 0.874,with a significance of 0.000 and a critical value of 5.5,the AUC of the PA group versus PI group was 0.784,with a significance of 0.002 and a critical value of 9.5,and the AUC of the PI group versus PP group was 0.986,with a significance of 0.000 and a critical value of 14.5.Conclusion Clini-cal combined MRI scoring scale can evaluate whether placenta previa is accompanied by PAS and evaluate the depth of PAS,which has important clinical value.

Objective To investigate the gene expression profile in rat pancreatic ductal stem cells(PDSCs)when induced to differentiate into insulin-secreting cells(IPCs),with the goal of identifying key genes involved in this differentiation process.Methods The expanded PDSCs were categorized into a normal control(NC)group and an induced(Tre)group.PDSCs continued expansion culture in NC group,and cultured in induction medium for 28 days to facilitate the differentiation of PDSCs into IPCs in Tre group.Dithizone staining was employed to morphologically assess whether the cells exhibited a reddish-brown coloration,indicating a positive result.The immunofluorescence staining method was used to detect the expression of insulin(Ins)and PDX1 in the cells following induction.Additionally,ELISA was conducted to measure the Ins release from IPCs,thereby verifying the responsiveness of the induced cells to glucose-stimulated Ins secretion.Concurrently,cells were collected on induction days 0 and 28 for RNA sequencing(RNA-seq),and differentially expressed genes(DEGs)were analyzed and functionally annotated.The analysis revealed that regulatory factor X3(RFX3)was overexpressed in PDSCs,and the impact of RFX3 upregulation on differentiation induction was subsequently verified.Results Compared with NC group,DTZ staining was positive,PDX1 and Ins proteins were expressed,and an increased release of Ins in response to sugar stimulation was demonstrated in the Tre group.RNA-seq analysis identified 4270 DEGs,and functional enrichment analysis utilizing the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases revealed associations with Ins response,positive regulation of Ins secretion,pancreatic endocrine cell development,and overall pancreatic development.Additionally,functionally related genes such as ALDHA2,CREB5,EIF6,FOXO1,RFX3,WNT5a,OGT,GPR39,SMAD6,and TRPM2 were identified,indicating involvement in the cell cycle,TGF-β1 signaling pathway,FOXO signaling pathway,and Wnt signaling pathway in the regulation of the differentiation of pancreatic ductal stem cells(PDSCs)into insulin-producing cells(IPCs).Furthermore,the upregulation of RFX3 can inhibit the expression of TGF-β1 within 72 hours,thereby promoted the formation and release of Ins from insulin-positive cells.Conclusions Multiple genes and signaling pathways associated with pancreatic β-cell function collectively regulate the differentiation of rat PDSCs into IPCs.Notably,the upregulation of RFX3 enhances this differentiation process.

The mother formula of Ruyizhenbao formula was the 25-flavor Zhumu Fang recorded in the Four Medical Codes,which was called Ruyi 25-flavor Zhumu Fang in the 16th century book Tibetan Medicine Ruyi Daquan.Later,in the book Qianwan Sheli,licorice was added to the formula,forming a 26-flavor basic formula of Ruyizhenbao.With the development of Tibetan medicine history,various doctors added and subtracted medicinal flavors to the basic formula.Finally,it was developed by Qinrenorbu into Ruyizhenbao formula composed of 30 herbs,which was published in the Treasure Source of Tibetan Medicine Secrets and was included in the Drug Standard of the Ministry of Health(Tibetan medicine)in 1995,becoming the formula standard of Ruyizhenbao formula.Through systematically sorting out Tibetan medicine literature from past dynasties,the formula name,medicinal taste composition,and changes of Ruyizhenbao formula recorded in different literature was comprehensively analyzed.Through primary literature research,the various claims about the origin of Ruyizhenbao formula published to date have been verified one by one to clarify its past and present,and to clarify its origin.The mother formula of Ruyizhenbao is the 25-flavor mother powder recorded in the Four Medical Codes.The basic formula is the Ruyizhenbao formula composed of 26 herbs in Qianwan Sheli,and the standard formula is the Ruyizhenbao formula composed of 30 herbs in the Treasure Source of Tibetan Medicine Secrets.

Objective To explore the clinical value of clinical combined MRI scoring scale in predicting placenta previa with pla-centa accreta spectrum disorders(PAS).Methods The clinical and MRI data of 96 pregnant women with placenta previa were ana-lyzed retrospectively,including 37 cases in the non-PAS group and 59 cases in the PAS group.In the PAS group,there were 14 cases in the placenta accreta(PA)group,33 cases in the placenta increta(PI)group and 12 cases in the placenta percreta(PP)group.The differences in clinical and imaging features of the variables between non-PAS,PA,PI,and PP groups were analyzed to establish a sco-ring scale,and the receiver operating characteristic(ROC)curves were used to calculate the critical values of the different groups.Results Ten clinical and 15 imaging features were included for evaluation,there were statistically significant differences in 14 indicators,including the number of caesarean sections,placental thickness,abnormal subplacental vessels,and short T2 signal bands within the placenta(P<0.05).Incorporate the above indicators into the MRI scoring scale.The ROC curves showed that the area under the curve(AUC)of the MRI scoring scale analyzed diagnostic non-PAS group versus PA group was 0.874,with a significance of 0.000 and a critical value of 5.5,the AUC of the PA group versus PI group was 0.784,with a significance of 0.002 and a critical value of 9.5,and the AUC of the PI group versus PP group was 0.986,with a significance of 0.000 and a critical value of 14.5.Conclusion Clini-cal combined MRI scoring scale can evaluate whether placenta previa is accompanied by PAS and evaluate the depth of PAS,which has important clinical value.

Objective To investigate the gene expression profile in rat pancreatic ductal stem cells(PDSCs)when induced to differentiate into insulin-secreting cells(IPCs),with the goal of identifying key genes involved in this differentiation process.Methods The expanded PDSCs were categorized into a normal control(NC)group and an induced(Tre)group.PDSCs continued expansion culture in NC group,and cultured in induction medium for 28 days to facilitate the differentiation of PDSCs into IPCs in Tre group.Dithizone staining was employed to morphologically assess whether the cells exhibited a reddish-brown coloration,indicating a positive result.The immunofluorescence staining method was used to detect the expression of insulin(Ins)and PDX1 in the cells following induction.Additionally,ELISA was conducted to measure the Ins release from IPCs,thereby verifying the responsiveness of the induced cells to glucose-stimulated Ins secretion.Concurrently,cells were collected on induction days 0 and 28 for RNA sequencing(RNA-seq),and differentially expressed genes(DEGs)were analyzed and functionally annotated.The analysis revealed that regulatory factor X3(RFX3)was overexpressed in PDSCs,and the impact of RFX3 upregulation on differentiation induction was subsequently verified.Results Compared with NC group,DTZ staining was positive,PDX1 and Ins proteins were expressed,and an increased release of Ins in response to sugar stimulation was demonstrated in the Tre group.RNA-seq analysis identified 4270 DEGs,and functional enrichment analysis utilizing the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases revealed associations with Ins response,positive regulation of Ins secretion,pancreatic endocrine cell development,and overall pancreatic development.Additionally,functionally related genes such as ALDHA2,CREB5,EIF6,FOXO1,RFX3,WNT5a,OGT,GPR39,SMAD6,and TRPM2 were identified,indicating involvement in the cell cycle,TGF-β1 signaling pathway,FOXO signaling pathway,and Wnt signaling pathway in the regulation of the differentiation of pancreatic ductal stem cells(PDSCs)into insulin-producing cells(IPCs).Furthermore,the upregulation of RFX3 can inhibit the expression of TGF-β1 within 72 hours,thereby promoted the formation and release of Ins from insulin-positive cells.Conclusions Multiple genes and signaling pathways associated with pancreatic β-cell function collectively regulate the differentiation of rat PDSCs into IPCs.Notably,the upregulation of RFX3 enhances this differentiation process.