Objective: To investigate the intentions of mothers of ageappropriate girls in Qingdao to vaccinate their daughters against human papillomavirus (HPV), so as to provide theoretical guidance for targeted health education in the future. Methods: A multistage random sampling method was adopted to conduct a crosssectional study among 2 244 mothers of girls aged 12-14 years in Qingdao from March to December 2023. The Mann-Whitney U test was used for group comparisons, and Logistic regression was performed to analyze the factors that influenced maternal intention to vaccinate their ageappropriate daughters against HPV. Results: Among the surveyed mothers, 89.22% (n=2 002) intended to vaccinate their daughters against HPV, and 68.58% (n=1 539) had fully vaccinated or had plans to complete it for themselves. The knowledge score of mothers intended to vaccinate their daughters was 10 (8, 11). The multivariate Logistic regression analysis showed that mothers aged >45 years (OR=0.19), those with an annual family income of 60 000-<150 000 yuan (OR=0.65), 150 000-<300 000 yuan (OR=0.58), 300 000-500 000 yuan (OR=0.22), and those with higher knowledge scores (OR=0.90) were more likely to vaccinate their daughters (P<0.05). Mothers with a junior college or undergraduate degree (OR=1.66), those who never or occasionally screened for HPV (OR=1.58), those who were intended to be vaccinated, not planning to complete the fullcourse vaccination, or overaged and unvaccinated (OR=7.13), those who were not concerned about their daughters HPV infection (OR=2.54), and those whose daughters were not in adolescence (OR=1.93) were less intended to vaccinate their daughters (P<0.05). The primary reasons for vaccine hesitancy were vaccine safety concerns (65.06%), followed by the belief of mothers that "the children is to young, and can be vaccinated when they are older" (13.25%). Conclusions Mothers of eligible girls in Qingdao have relatively higher intentions to vaccinate their daughters against HPV, and willingness is influenced by factors such as the mothers vaccination status, knowledge level, and daughters development stage. It is recommended to strengthen targeted health education, improve the cognitive level and acceptance of mother, and increase the vaccination rate of HPV vaccines.

Objective:To investigate the rates of low disease activity and clinical remission in patients with systemic lupus erythematosus(SLE)in a real-world setting,and to analyze the related factors of low disease activity and clinical remission.Methods:One thousand patients with SLE were enrolled from 11 teaching hospitals.Demographic,clinical and laboratory data,as well as treatment regimes were collec-ted by self-completed questionnaire.The rates of low disease activity and remission were calculated based on the lupus low disease activity state(LLDAS)and definitions of remission in SLE(DORIS).Charac-teristics of patients with LLDAS and DORIS were analyzed.Multivariate Logistic regression analysis was used to evaluate the related factors of LLDAS and DORIS remission.Results:20.7％of patients met the criteria of LLDAS,while 10.4％of patients achieved remission defined by DORIS.Patients who met LLDAS or DORIS remission had significantly higher proportion of patients with high income and longer disease duration,compared with non-remission group.Moreover,the rates of anemia,creatinine eleva-tion,increased erythrocyte sedimentation rate(ESR)and hypoalbuminemia was significantly lower in the LLDAS or DORIS group than in the non-remission group.Patients who received hydroxychloroquine for more than 12 months or immunosuppressant therapy for no less than 6 months earned higher rates of LLDAS and DORIS remission.The results of Logistic regression analysis showed that increased ESR,positive anti-dsDNA antibodies,low level of complement(C3 and C4),proteinuria,low household in-come were negatively related with LLDAS and DORIS remission.However,hydroxychloroquine usage for longer than 12 months were positively related with LLDAS and DORIS remission.Conclusion:LLDAS and DORIS remission of SLE patients remain to be improved.Treatment-to-target strategy and standar-dized application of hydroxychloroquine and immunosuppressants in SLE are recommended.

Objective:To study the expression of stomatin-like protein 2(STOML2)in oral squamous cell carcinoma(OSCC)tissue and the effects of STOML2 on the tumorigenicity of OSCC cells(OSCCCs)in vitro and in vivo,and the related mechanism.Methods:The protein expression of STOML2 in OSCC and adjacent tissues of 56 patients was detected.OSCCCs SCC-15 were divided into 2 groups.Stom12-siRNA plasmid was transfected into the cells of experimental group and Mock-siRNA plasmid was transfected into the cells of control group.The mRNA and protein expression of STOML2,CDK4 and P16 in the cells was detected by qPCR and Western blot respectively.The cell cycle of the cells was detected by flow cytometry,and the proliferation of the cells was detected by CCK8 asay.The tumorigenicity of the cells was detected by subcutaneous tumor model in nude mice.Results:The positive rate of STOML2 in OSCC and adjacent tissues was 92.86％(52/56)and 8.93％(5/56)respectively(P＜0.001).After siRNA transfection,STOML2 mRNA expression in SCC-15 cells of experimental group and control group was(0.43±0.09)and(1.23±0.19),STOML2 protein ex-pression was(0.52±0.11)and(0.94±0.17)respectively.CDK4 expression was(0.33±0.13)and(1.18±0.17),P16 expression was(0.93±0.12)and(0.29±0.03),respectively.In CCK8 assay the absorbance of SCC-15 cells in experimental group and control group was(1.11±0.24)and(2.19±0.28),in flow cytometry the percentage of cells in G2/M phase was 35.72％±5.33％and 18.65％±3.71％(P＜0.05),respectively.In vivo test showed that the volume(μm3)of subcutaneous transplanted tumor was 1 192.07 ±250.9 and 2 280.5±600.1,the weight(g)of mice was 0.65±0.30 and 1.62±0.40,respectively.Conclusion:STOML2 expression increases in OSCC,STOML2 affects the tumorigenic ability of OSCCCs in vitro and in vivo by regulating P16 related pathways.

BACKGROUND:The assessment of asymmetric gait quality plays a pivotal role in guiding rehabilitation training;however,the link between gait quality and kinematic-kinetic gait parameters remains ambiguous. OBJECTIVE:To formulate a machine-learning model for evaluating gait quality based on gait parameters,identify factors sensitive to gait quality from asymmetric gait parameters,investigate the relationship between gait indicators and gait quality,and provide guidance for asymmetric gait training and rehabilitation. METHODS:An asymmetric gait database was established through the creation of asymmetric conditions.Kinematic and kinetic data were collected from 8 young and 8 elderly subjects(all male,right dominant population)during gait tests.Gait quality for each test data set was assessed using symmetry indices,resulting in the creation of a gait parameter-gait quality dataset.Utilizing the Random Forest algorithm,a gait quality evaluation model was developed and key quality parameter factors were identified through differential analysis.This model was iteratively refined.The model's performance was evaluated through 10-fold cross-validation,and its effectiveness was verified using the cross-validation dataset. RESULTS AND CONCLUSION:(1)A gradient test was designed to categorize gait quality into optimal,suboptimal,intermediate,and poor groups,with 759,329,133,and 125 instances,respectively.(2)The application of the Random Forest algorithm in gait quality assessment was explored.A relationship model was established between gait indicators and gait quality,yielding a predictive model accuracy of 95.99%.(3)The 13 main parameters significantly influencing asymmetric gait quality were identified through the Random Forest model's feature importance ranking.(4)An analysis of gait quality sensitivity factors using the 13 important parameters led to the identification of five key sensitivity indexes.The Random Forest model utilizing these sensitivity factors achieved a predictive accuracy of 94.20%.

Objective To study the stress change characteristics of the cervical disc after removing different ranges of the uncinate process by establishing a three⁃dimensional finite element model of the C

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.

Background Bacteria are the most diverse and widely sourced microorganisms in the indoor air of subway stations, where pathogenic bacteria can spread through the air, leading to increased health risks. Objective To understand the status and distribution characteristics of indoor air bacterial pollution in subway stations and compartments in a city of Central South China, and to provide a scientific basis for formulating intervention measures to address indoor air bacteria pollution in subways. Methods Three subway stations and the compartments of trains parking there in a city in Central South China were selected according to passenger flow for synchronous air sampling and monitoring. Temperature, humidity, wind speed, carbon dioxide (CO₂), fine particulate matter (PM_2.5), and inhalable particulate matter (PM₁₀) were measured by direct reading method. In accordance with the requirements of Examination methods for public places-Part 3: Airborne microorganisms (GB/T 18204.3-2013), air samples were collected at a flow rate of 28.3 L·min⁻¹, and total bacterial count was estimated. Bacterial microbial species were identified with a mass spectrometer and pathogenic bacteria were distinguished from non-pathogenic bacteria according to the Catalogue of pathogenic microorganisms transmitted to human beings issued by National Health Commission. Kruskal-Wallis H test was used to compare the subway hygiene indicators in different regions and time periods, and Bonferroni test was used for pairwise comparison. Spearman correlation test was used to evaluate the correlation between CO₂ concentration and total bacterial count. Results The pass rates were 100.0% for airborne total bacteria count, PM_2.5, and PM₁₀ in the subway stations and train compartments, 94.4% for temperature and wind speed, 98.6% for CO₂, but 0% for humidity. The overall median (P₂₅, P₇₅) total bacteria count was 177 (138,262) CFU·m⁻³. Specifically, the total bacteria count was higher in station halls than in platforms, and higher during morning peak hours than during evening peak hours (P<0.05). A total of 874 strains and 82 species were identified by automatic microbial mass spectrometry. The results of identification were all over 9 points, and the predominant bacteria in the air were Micrococcus luteus (52.2%) and Staphylococcus hominis (9.8%). Three pathogens, Acinetobacter baumannii (0.3%), Corynebacterium striatum (0.1%), and Staphylococcus epidermidis bacilli (2.2%) were detected in 23 samples (2.6%), and the associated locations were mainly distributed in train compartments during evening rush hours. Conclusion The total bacteria count in indoor air varies by monitoring sites of subway stations and time periods, and there is a risk of opportunistic bacterial infection. Attention should be paid to cleaning and disinfection during peak passenger flow hours in all areas.

Objective To observe the intervention effect of hypericin(HYP)on 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP)-induced Parkinson's disease(PD)mice model and its mechanism.Methods Thirty C57BL/6 mice were randomly divided into normal,model and experimental groups with 10 mice per group.PD mouse model was established after 7 days of intraperitoneal injection of MPTP,and drug intervention was carried out from the first day of modeling.Normal group and model group were intraperitoneally injected with 500 μL·kg·d-1 0.9％NaCl.The experimental group was intraperitoneally injected with 25 mg·kg·d-1 HYP.The three groups of rats were given the drug once each time for 14 days.The expression levels of tyrosine hydroxylase(TH),Nod-like receptor thermal protein domain protein 3(NLRP3)and ionized calcium binding adapter molecule 1(Iba1)in the striatum of nigra were detected by Western blot.Results The climbing time of normal,model and experimental groups was(5.35±0.43),(9.71±1.19)and(8.07±0.34)s;suspension scores were(2.92±0.15),(1.38±0.28)and(1.96±0.28)points;the relative expression levels of TH protein were 1.04±0.06,0.51±0.09 and 0.75±0.07;the relative expression levels of NLRP3 protein were 0.51±0.03,1.00±0.04 and 0.77±0.06;the relative expression levels of Iba1 protein were 0.68±0.10,1.30±0.28 and 0.89±0.05,respectively.The above indexes in the model group were statistically significant compared with the experimental group and the normal group(all P＜0.01).Conclusion HYP plays a therapeutic role in PD by inhibiting the expression of NLRP3 inflammasome in PD mice.

Extremely unbalanced data here refers to datasets where the values of independent or dependent variables exhibit severe unbalance in proportions, such as extremely unbalanced case-control ratio, very low incidence rate of disease, heavily censored time-to-event data, and low-frequency or rare variants. In such scenarios, the statistic derived from hypothesis test using the classical statistical method, e.g., logistic regression model and Cox proportional hazard regression model, might deviate from theoretical asymptotic distribution, resulting in inflation or deflation of type I error. With the increased availability and exploration of resources from large-scale population cohorts in genome-wide association study (GWAS), there is a growing demand for effective and accurate statistical approaches to handle extremely unbalanced data in independent and non-independent samples. Our study introduces classical statistical methods in genetic statistics firstly, then, summarizes the failure of classical statistical methods in dealing with extremely unbalanced data through simulation experiments to draw researchers' attention to the extremely unbalanced data in GWAS.

By organizing and studying on the original works of LI Wenrong， this paper aimed to explore his theories and methods for treating liver diseases. LI Wenrong believes that the liver is easily prone to physiological disturbances， difficult to pacify， and can be compared to a “chariot” that moves horizontally and vertically， acting as a “general” for both civil and military affairs. Pathologically， liver diseases tend to spread to other organs， resulting in ever-changing pathological changes， often affecting emotional health. In terms of therapeutic methods， LI Wenrong proposes ten methods including draining fire to calm the liver， nourishing water to moisten wood， clearing metal to calm the liver， calming gallbladder and harmonizing liver， subduing yang with shell-drug， treating liver diseases by supplementing spleen， soothing the liver with sweetness， astringing the liver with sourness， relieving the liver with spiciness， and draining the liver with excess-fire. These methods have great guidance and reference value for contemporary clinical practice in traditional Chinese medicine.