ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

Objective:To establish the characteristic spectrum of Liushenqu standard decoction using ultra-high performance liquid chromatography (UPLC); To determine the contents of related index components; To evaluate the quality of Liushenqu standard decoction.Methods:UPLC method was used to establish characteristic spectrum of Liushenqu standard decoction. Chromatographic Fingerprint Similarity Evaluation System (2012 edition) was used for similarity analysis, the characteristic peak was assigned, and the content of its index components was determined.Results:The characteristic peaks of Liushenqu standard decoction were calibrated and 8 components were identified, namely uridine, adenosine, guanosine, 5-hydroxymethylfurfural, tryptophan, vanillic acid, ferulic acid and shaftaside. The contents of uridine, adenosine, tryptophan ferulic acid and shaftaside in 10 batches of Liushenqu standard decoction were simultaneously determined, and ranged from 0.036 1～0.383 9 mg/g, 0.030 7～0.170 2 mg/g, 0.007 0～0.060 2 mg/g, 0.001 0～0.005 0 mg/g, 0.000 8～0.013 8 mg/g, respectively. The transfer rates ranged from 44.2% to 50.8%, 60.1% to 67.7%, 60.4% to 76.4%, 62.7% to 77.4%, 50.7% to 61.4%, respectively.Conclusion:The established UPLC characteristic spectrum and content determination method are accurate and repeatable, which can provide references for quality control of Liushenqu standard granules.

Objective:To establish UPLC characteristic spectrum of Hujiao standard decoction and the determination method for the content of piperine.Methods:15 batches of freeze-dried powder of Hujiao standard decoction were prepared according to the traditional decocting method. The range of paste yield was determined, and the UPLC characteristic spectrum of the standard decoction was established. High-resolution mass spectrometry and control products were used to identify common peaks. Based on the common peak area, the weights of each peak were compared using entropy weight method, and correlation analysis and similarity evaluation were conducted using clustering analysis and grey correlation method; a method for determining the content of piperine in Hujiao decoction pieces and freeze-dried powder of standard decoction was simultaneously established, and the transfer rate was calculated.Results:The extraction rate of 15 batches of freeze-dried powder of Hujiao standard decoction ranged from 10.4% to 16.8%, with an average of 14.0%. The content of piperine ranged from 12.2 to 30.0 mg/g, with an average of 18.5 mg/g, and the transfer rate ranged from 4.0% to 7.8%, with an average of 5.8%. Six common peaks were identified in the established characteristic spectrum and identified by high-resolution mass spectrometry and control products respectively. Peak 1 was N-trans-feruloyltyramine, peak 3 was piperine and the similarity was 0.959-1.000. Clustering analysis and grey correlation analysis showed that there was little difference between quality of Piperis Fructus and origins.Conclusion:In this study, the characteristic spectrum and content determination method of freeze-dried powder of Hujiao standard decoction are established, which can provide references for quality detection and control of Hujiao standard decoction or its derivative products.

Insomnia disorder is the most common sleep disorder,which interacts with other diseases,caus-ing health damage to human body and imposing a significant socio-economic burden.Currently,there have been fur-ther advancements in subtypes of insomnia disorder,comorbidity research,mechanistic hypotheses,assessment strategies,and treatment methods.With the advent of the information age,digital platforms can integrate early warn-ing,accurate assessment and diagnosis,treatment methods,and later follow-up for insomnia disorder to establish a comprehensive and standardized system for the treatment and management of insomnia disorder,helping to alleviate a rising morbidity rate and save healthcare costs.

Background Individuals may experience significant alterations in sleep hygiene during the major public health emergencies,consequently impacting their sleep quality.Objective To explore the relationship between sleep quality and sleep hygiene among adult residents during the major public health emergencies,so as to provide references for improving the sleep quality of residents during such a period.Methods A sample of 1 364 adult residents were enrolled as the research subjects from February 20 to 29,2020.All participants were asked to complete self-administered questionnaire to obtain basic-demographic information and sleep hygiene.Pittsburgh Sleep Quality Index(PSQI)was applied to assess sleep quality.Residents were classified into poor sleepers with PSQI score≥8 and good sleepers defined as PSQI score<8.Binary Logistic regression analysis was conducted to identify factors associated with sleep quality.Radar chart was used to visualize and compare the sleep hygiene between poor sleepers and good sleepers.Results According to PSQI score,891(65.32%)residents were good sleepers,while 473(34.68%)residents were poor sleepers.Comparison revealed that age(χ2=3.887),past medical history(χ2=27.938),awareness rate of importance of sleeping before major public health emergencies(χ2=4.337),impact of sleep quality on quality of life during the major public health emergencies(χ2=178.138),frequency of staying up late during the major public health emergencies(χ2=139.390),compensatory sleep behaviors(χ2=39.257),impact of sleep problems on daytime functioning(χ2=285.879),change of bedtime(χ2=63.031),sleep latency(χ2=168.672),wake-up time(χ2=59.221),changes in sleep duration(χ2=172.332),time spent in the bedroom(χ2=23.071),and sum of money spent on improving sleep environment(χ2=58.584)yielded statistical difference between poor sleepers and good sleepers(P<0.05 or 0.01).Logistic regression analysis denoted that past medical history(OR=1.680,95%CI:1.185～2.382),negative impact of sleep quality on quality life(OR=4.181,95%CI:2.722～6.422),staying up late 3 to 4 times per week(OR=3.145,95%CI:1.497～6.605),staying up late almost every day(OR=4.271,95%CI:1.970～9.260),negative impact of sleep problems on daytime functioning(OR=7.169,95%CI:5.188～9.907),prolonged sleep latency(OR=2.836,95%CI:2.019～3.982)and shortened sleep duration(OR=3.518,95%CI:2.144～5.772)were risk factors of poor sleep quality.The sum of money spent on improving sleep environment following the major public health emergencies≤500 RMB(OR=0.334,95%CI:0.134～0.830)was related to the incidence rate of poor sleep quality.Radar chart showed that poor sleepers were characterized by extravagant concerns,excessive cleanliness and poor sleep hygiene practices during the major public health emergencies,and poor sleepers were more likely to stay up late due to stress and emotional issues.Conclusion Some residents are facing poor sleep quality during the major public health emergencies,and poor sleep hygiene practice also contributes to poor sleep quality.

Objective:To establish HPLC chromatogram for Aspongopus; To determine 8 nucleoside components of uracil, adenine, uridine, uric acid, hypoxanthine, adenosine, xanthine and canine quinolinic acid; To provide reference for quality control and evaluation.Methods:The Agilent ZORBAX SB-Aq chromatographic column (4.6 mm×250 mm, 5 μm) was used for gradient elution with mobile phases consisting of a methanol (A) and 0.05% phosphoric acid (B). The column temperature was 25 ℃, the flow rate was 0.8 ml/min, and the detection wavelength was 254 nm. HPLC chromatograms for Aspongopus were established and the contents of 8 components were determined.Results:The characteristic chromatogram of 15 batches aspongopus herbs was established. A total of 10 common characteristic peaks were identified and 8 were identified. The similarity between the characteristic chromatogram of samples and the control chromatogram was 0.969-0.997. The content determination showed that the linear range of uracil, adenine, urin, uric acid, hypoxanthine, adenosine, xanthine and xanuric acid was among 0.002 0-0.644 0, 0.001 4-0.448 0, 0.001 0-1.257 0, 0.005 4-6.221 0, 0.001 0-0.724 0, 0.001 0-0.644 0, 0.002 0-1.113 0, 0.003 8-2.059 0 μg, respectively, with a good linear relationship ( r≥0.999); the repeatability and stability of RSD were <2.0%, and the average sampling recovery rate was between 99.36% and 103.40%. Conclusion:The characteristic chromatogram and content determination method established in this study are simple, reliable, reproducible and accurate, and can be used for the qualitative and quantitative analysis of Aspongopus and can provide a reference for the quality evaluation method of the Aspongopus.

Objective:To conduct a multidimensional quantification and analysis of the development trajectory of both "quality" and "quantity" in China's higher education from 2001 to 2021, and lay a solid foundation for the construction of a high-quality education system.Methods:Based on macro statistical data on education in China from 2001 to 2021, a comprehensive indicator system for the development level of higher education was established. This system included six dimensions: educational conditions, financial support, institutional safeguards, scientific research, social services, and international collaboration. Methods such as entropy-weighted TOPSIS, general difference index, spatial autocorrelation, and hot spot analysis were used to evaluate the level of high-quality development of higher education and its spatial differentiation. Additionally, an obstacle degree analysis model was used to evaluate the factors hindering the high-quality development of higher education.Results:The high-quality development level of China's higher education has steadily improved, with a growth rate of 2.85%. The spatial distribution exhibited a clustering pattern, with stable hotspot regions established in the eastern region characterized by significant "spillover" effects. Concurrently, the western regions narrowed the development gap compared with other areas. Scientific research represents the primary challenge to achieving high-quality development in higher education, with an average obstacle degree of 18.46%. Books per student, fixed assets per student, foreign technology imported per institution, research & development project funds, research & development projects per institution, and personnel investment in research & development projects were important constraints on the development of higher education in China and the provinces.Conclusions:Resource sharing and linkage need to be guaranteed by policy and institutional support, and each subject of higher education should give full play to its own advantages to contribute to the high-quality development of higher education through interregional linkage development, mutual synergy, and common progress.

Objective:To investigate the efficacy and safety of hyperthermic intraperitoneal chemotherapy combined with immune checkpoint inhibitors in treatment of gastric cancer with ascites.Methods:A retrospective case-control study was conducted. The clinical data of 39 gastric cancer patients with malignant ascites treated in Xi'an Third Hospital from May 2021 to June 2023 were retrospectively analyzed. All patients were divided into the routine group (18 cases) and the observation group (21 cases) according to different treatment methods. The patients in the routine group were treated with hyperthermic intraperitoneal chemotherapy combined with systemic intravenous chemotherapy; the patients in the observation group were treated with immune checkpoint inhibitors on the basis of hyperthermic intraperitoneal chemotherapy combined with systemic intravenous chemotherapy. The clinical efficacy, tumor marker levels, Karnofsky scores, and incidence of adverse reactions of both groups were compared. Kaplan-Meier method was used to analyze the overall survival (OS) of both groups.Results:There were 12 males (66.7%) and 6 females (33.3%) in the routine group, with the age of (57±13) years; 13 males (61.9%) and 8 females (38.1%) in the observation group, with the age of (59±12) years. After treatment, the serum carcinoembryonic antigen (CEA), carbohydrate 125 (CA125), carbohydrate 199 (CA199) levels in the 2 groups were lower than those before treatment, and the differences were statistically significant (all P < 0.05). After treatment, the serum CEA, CA125, CA199 levels in the observation group were lower than those in the routine group, and the differences were statistically significant (all P < 0.05). After treatment, Karnofsky scores in the observation group were higher than those before treatment [(78.6±7.5) scores vs. (69.5±8.9) scores], and Karnofsky scores in the observation group were higher than those in the routine group [(78.6±7.5) scores vs. (72.8±7.9) scores],and the differences were statistically significant ( t = -3.65, 2.33, all P < 0.05). The objective remission rate (ORR) was 55.6% (10/18) and 71.4%(15/21), respectively in the routine group and the observation group, and the difference was statistically significant ( χ2 = 9.24, P = 0.002). The median OS time was 38.97 months (95% CI: 34.99-42.95 months) and 23.62 months (95% CI: 18.49-28.74 months), respectively in the observation group and the routine group, and the difference was statistically significant ( χ2 = 3.88, P = 0.049). There was no statistically significant difference in the incidence of adverse events between the 2 groups (all P > 0.05). No serious treatment-related complications were found in the observation group. Conclusions:Hyperthermic intraperitoneal chemotherapy combined with immune checkpoint inhibitors shows a good therapeutic effect in the treatment of gastric cancer with ascites, and the adverse reactions are controllable.

Objective:To assess the prevalence of metabolic syndrome(MS) and its relationship with hyperuricemia(HUA) in perimenopausal women in Anning city, Yunnan province.Methods:This is a cross-sectional survey. In May 2021, a multi-stage stratified sampling method was used to collect demographics and clinical data [ethnicity, living community, height, weight, waist circumference, blood pressure, fasting plasma glucose, triglycerides(TG), serum uric acid, high density lipoprotein-cholesterol(HDL-C), alanine transaminase(ALT), etc] in a total of 6 721 perimenopausal women aged 45-60 years.Results:A total of 6 721 perimenopausal women were included in this study. The prevalences of MS and HUA were 14.05%(95% CI 13.22%-14.88%) and 6.46%(95% CI 5.88%-7.07%), respectively. The average age, HDL-C, urea, direct bilirubin, and albumin levels in the perimenstrual HUA population were lower than those in the non-HUA population while the levels of TG, ALT, heart rate, body mass index(BMI), and creatinine were higher(all P<0.05). The prevalence of HUA in perimenopausal women with ethnic minorities and family history of chronic diseases was higher than that in Han nationality and without family history of chronic diseases. The prevalence of MS in perimenopausal women was increased with the increase of serum uric acid( Z=-15.313 8, P<0.001). Multivariate logistic regression model showed that HUA was positively correlated with MS( OR=1.526, 95% CI 1.192-1.954) after adjusting for covariates such as BMI and ethnicity, and the incidence of MS in perimenopausal women in HUA group was 1.526 folds higher than that in non-hyperuricemia group. Conclusion:HUA is highly positively correlated with MS in perimenopausal women. The management of uric acid level in perimenopausal women should be strengthened.