To summarize Professor GAO Shuzhong's clinical experience in treating idiopathic tinnitus with a combination of acupuncture and Chinese meteria medica. It is believed that idiopathic tinnitus is mostly caused by weak lungs and spleen， kidney essence deficiency， liver constraint transforming into fire， and binding constraint of heart qi. Treatment advocates the combination of acupuncture and Chinese meteria medica in clinical practice. Acupuncture treatment mainly focus on the method of opening the orifices by syndrome identification in combination with Ermen （TE 21）， Tinggong （SI 19）， Tinghui （GB 2）， Shenmai （BL 62） to regulate qi and blood， and supporting with Baihui （GV 20）， Yintang （EX-HN 3）， Taichong （LR 3）， and Yanglingquan （GB 34） to soothe the liver， resolve constraint， and calm the mind. Oral administration of Chinese medicinal prescription usually includes modified Yiqi Congming Decoction （益气聪明汤） and Tongqi Powder （通气散）， and the external administration of Chinese medicinal prescription can apply self-prescribed Wenqing Powder （温清散） to navel moxibustion.

Objective: To understand the current situation of school based sexuality education, attitudes and evaluations of teachers and students toward sexuality education, so as to provide evidence for promoting the development of school based sexuality education. Methods: From September to October 2021, 2 140 valid data from students in basic education and 2 146 from kindergarten and primary and secondary school teachers were collected by online questionnaire. The data were described and statistically analyzed, and the influencing factors of teachers willingness to teach sexuality education courses were explored by logistic regression analysis. Results: About 52.06% of the students had not received sexuality education in school, and 47.53% of the teachers did not carry out sexuality education in the school. Sexuality education in schools mainly focuses on reproductive health and physical development. About 48.93% of the teachers thought that the implementation of sexuality education in schools was not good, and the proportion of high school students who thought sexuality education in schools were "very bad" (32.87%) or "not very good" ( 21.23 %) was the highest. The teachers who undertook sexuality education were mainly mental health teachers (55.51% reported by teachers, 43.96% reported by students). About 71.02% of teachers believe that the best way to carry out sexuality education classes was to set up sexuality education curriculum. Students and teachers reported the need for sexuality education, and more than 50% of primary school students and high school students thought that sexuality education were "very needed" and "somewhat needed". About 51.77 % of teachers considered sexuality education "very urgent". All increased recognition of sexuality education, confidence in answering sex questions, external support for sexuality education, and acceptance of sexuality education training increased the likelihood of teachers teaching sexuality education ( OR =1.02, 1.95, 1.03, 3.53, P <0.05). Conclusion The current situation of school based sexuality education is not optimistic, the gap between sexuality education and students needs is wide, and the abilities of sexuality education teachers are insufficient.

Purpose/Significance To explore the changes,challenges,key application scenarios and future development directions of generative artificial intelligence(AI)represented by ChatGPT in the field of hospital management,and to provide references for the ap-plication of AI natural language processing(NLP)technology in the field of hospital management in China.Method/Process Through literature review and analysis,the changes and challenges brought about by the rapid development of generative AI in the field of hospital management are sorted out,its key application scenarios and future development directions in the field of hospital management are empha-sized and explored.Result/Conclusion AI has broad application prospects in the field of hospital management,and it should focus on exploring its practical application scenarios and strategic directions to provide reference and guidance for promoting the high-quality de-velopment of public hospitals.

AIM:To explore the therapeutic effect of teprenone(geranylgeranylacetone,GGA)on lipopolysac-charide(LPS)-induced cardiac dysfunction and its mechanism.METHODS:(1)Eight-week-old male C57BL/6 wild-type mice and carboxyl terminus of heat shock protein 70(HSP70)-interacting protein(CHIP)gene knockout mice were randomly divided into control group,LPS group,LPS+GGA group and GGA group,with 8 mice in each group.The model was established by intraperitoneal injection of LPS(25 mg/kg),and 1 h after LPS stimulation,mice were given intraperito-neal injection of GGA(100 mg/kg).The technique of high-resolution ultrasonography system was used to evaluate the car-diac function of mice.The serum of mice from each group were collected to detect the levels of creatine kinase-MB(CK-MB)and lactate dehydrogenase(LDH).HE staining was performed to observe histological changes of cardiac tissues.ELISA was used to detect the levels of tumor necrosis factor-α(TNF-α)and interleukin-6(IL-6)in cardiac tissues.West-ern blot was used to detect the protein levels of HSP70,CHIP,karyopherin-α 2(KPNA2),myeloperoxidase(MPO),vas-cular cell adhesion molecule(VCAM),intercellular cell adhesion molecule(ICAM),and nuclear factor-κB(NF-κB)in cardiac tissues.(2)In vitro cell inflammation model was established using mouse myocardial cells HL-1 stimulated with LPS.ELISA was used to detect the levels of TNF-α and IL-6 in cell supernatants.Western blot was used to detect the pro-tein expression levels of HSP70,CHIP,and KPNA2 in myocardial cells.Immunofluorescence staining was performed to observe the content of nuclear NF-κB.RESULTS:(1)GGA effectively improved cardiac function of LPS-stimulated mice,significantly increased ejection fraction and left ventricular fractional shortening(P<0.01),reduced serum levels of CK-MB and LDH(P<0.01),and alleviated myocardial injury.(2)GGA significantly reduced the release of TNF-α and IL-6 caused by LPS(P<0.01),as well as nuclear translocation of NF-κB,decreased the levels of KPNA2,MPO,VCAM and ICAM in cardiac tissues,and increased the levels of HSP70 in cardiac tissues and cells(P<0.01).(3)In CHIP knockout myocardial cells and mice,GGA failed to inhibit LPS-induced inflammatory response and lost its effect on im-proving cardiac function.CONCLUSION:The protective effect of GGA against LPS-caused cardiac dysfunction of mice is related to increasing expression of HSP70 and promoting CHIP activation,which inhibits the translocation of NF-κB into nucleus and suppresses inflammatory factor release.CHIP knockout abolishes the effects of GGA on reducing LPS-induced inflammatory response and myocardial injury.

Objective:To explore the impact of social support, self-efficacy, and neurological function on disease acceptance in stroke patients.Methods:From September 2022 to February 2023, convenience sampling was used to select 322 stroke patients from Shanghai Hospital of Traditional Chinese Medicine and Yueyang Hospital of Integrated Traditional Chinese and Western Medicine as participants. The survey was conducted using the General Information Questionnaire, Perceived Social Support Scale (PSSS), Stroke Self-Efficacy Questionnaire (SSEQ), Acceptance of Illness Scale (AIS), and National Institute of Health Stroke Scale (NIHSS) .Results:The AIS, PSSS, SSEQ, and NIHSS scores of stroke patients were (21.88±10.66), (52.64±13.80), (73.92±28.91), and (5.37±3.64), respectively. Social support of patients had a positive impact on disease acceptance ( P<0.01). Self-efficacy partially mediated the relationship between social support and disease acceptance, with indirect effects accounting for 48.84% of the total effect. The second half of the mediating effect of "social support→self-efficacy→disease acceptance" (self-efficacy→disease acceptance) was regulated by neurological function ( β=-0.020, P<0.01) . Conclusions:Medical and nursing staff can increase patients' social support, enhance their self-efficacy, and strengthen targeted interventions for patients with high levels of neurological deficits, thereby improving their disease acceptance.

The ninth edition of TNM staging for lung cancer has been announced at the 2023 World Lung Cancer Congress and implemented from January 1, 2024. The focus of the ninth TNM staging change is dividing N2 into N2a and N2b, as well as M1c into M1c1 and M1c2. Although the T staging has not changed, it has played an important role in verifying the eighth edition of the T staging. The subdivision of stage N2 has led some patients with ⅢA of the eighth edition to experience ascending or descending stages, which will more accurately help to assess the condition and prognosis of patients with mediastinal lymph node metastasis, as well as the design of related clinical studies. Modifying the M1c staging will help define oligometastasis and explore new treatment models in the future. The ninth edition of the TNM staging system provides a more detailed division of different tumor loads, but there is no clear explanation for the staging of lung cancer after neoadjuvant therapy. Further data analysis is needed, and it is expected to be answered in the tenth edition of TNM staging.

Non-alcoholic fatty liver disease (NAFLD), as a metabolic disease, has shown a constant upward trend in prevalence among the people in recent years. In addition to changing lifestyles and conventional drug treatment, bariatric surgery, represented by Roux-en-Y gastric bypass surgery and sleeve gastrectomy, has gradually become one of the treatment options for NAFLD. However, the mechanism of bariatric surgery in treating NAFLD remains to be studied. The "multiple-hit theory", which has gradually been recognized in recent years, believes that NAFLD is formed by the combined effect of multiple mechanisms such as insulin resistance, bile acid metabolism pathway, and intestinal flora. Based on relevant literatures and clinical practices, the authors explore the relevant mechanisms of bariatric surgery for direct or indirect treatment of NAFLD.

Objective To observe the value of dual-energy CT(DECT)radiomics combined with clinical and CT features for predicting differentiation degree of gastric adenocarcinoma(GAC).Methods Totally 254 patients with GAC were prospectively analyzed and divided into high-grade group(low differentiation GAC,n=88)and low-grade group(middle-high differentiation GAC,n=166)according to pathological results.The patients were also divided into training set(n=203,including 70 high-grade and 133 low-grade GAC)and verification set(n=51,including 18 high-grade and 33 low-grade GAC)at the ratio of 8∶2.Radiomics features were extracted and screened based on venous phase single-level(40,70,100 and 140 keV)DECT,and a multi-energy radiomics model was constructed to predict GAC classification.Univariate analysis and multivariate logistic regression were used to analyze clinical and CT features as well as DECT parameters in training set to construct a clinic-CT model.Then a combined model was constructed through combining clinic-CT model with radiomics model.The predictive efficacy of the models were evaluated,and the calibration degree of the combined model was assessed.Results The area under the curve(AUC)of clinic-CT model,multi-energy radiomics model and combined model was 0.74,0.75 and 0.78 in training set,and 0.73,0.77 and 0.78 in verification set,respectively.Except for AUC of combined model was higher than that of clinic-CT model in training set(P＜0.05),no significant difference of AUC was found among models in training set nor verification set(all P＞0.05).The calibration degree of combined model was good in both training set and verification set(both P＞0.05).Conclusion DECT radiomics combined with clinical and CT features could effectively predict differentiation degree of GAC.

Objective To observe the value of spectral CT parameters for evaluating T staging of advanced gastric cancer(AGC).Methods Totally 155 AGC patients were collected and divided into T2 stage(n=40)and T3/4a stage(n=115)according to postoperative pathology.CT values,water concentration(WC)and iodine concentration(IC)of AGC lesions on 40-140 keV arteriovenous phase single energy level images were measured,and the standardized IC(nIC)and spectral curve slopes k1 and k2 were calculated.Clinical variables and spectral quantitative parameters were compared between groups,and receiver operating characteristic curve was plotted,the area under the curve(AUC)was calculated to evaluate the value of each parameter and model for identifying T2 and T3/4a stage AGC.Results Tumor thickness,proportion of low differentiation degree,CT100kev,CT140kev,and WC values in T3/4a group were all significantly higher than those in T2 group(all P＜0.05).CT140keV of AGC lesions on venous phase images presented the highest discrimination efficacy among single parameters,with AUC of 0.782.AUC of clinical-arterial phase-venous phase model was 0.848,higher than that of clinical model and arterial phase model alone(both P＜0.05)but not significantly different compared with AUC of venous phase model(P＞0.05).Conclusion Spectral CT quantitative parameters,especially venous phase parameters could be used to effectively identify T stage of AGC.Multi-parameter combined models had higher diagnostic value.

Objective To establish the rapid identification method of Hedysari Radix wild and cultivated products by integrating the identification characteristics of TCM traits obtained by intelligent senses such as electronic nose and colorimeter based on the multivariate statistical analysis method;To provide new ideas and methods for the formulation of commodity specification standards and the application research of market quality control for Hedysari Radix.Methods Totally 29 batches of samples of Hedysari Radix were detected based on colorimeter and electronic nose technology to obtain their sensory information,and the effective components of Hedysari Radix were determined by high performance liquid chromatography(HPLC)and other methods for joint analysis.After establishing the optimal experimental conditions of Hedysari Radix electronic nose,multivariate statistical analysis methods,such as principal component analysis(PCA),orthogonal partial least squares-discriminant analysis(OPLS-DA)and clustering analysis,were used to establish the identification model of Hedysari Radix wild and cultivated commodities.Results The optimum test conditions of Hedysari Radix electronic nose(particle size of 65 mesh):the sample weight was 2.0 g,the optimum temperature of the sample was 50℃,and the time was 25 min.A single intelligent sensory result could not quickly and accurately identify the two,but the fusion information could quickly identify the wild and cultivated commodities of Hedysari Radix,and the chemical composition had a certain correlation with the color and taste.Conclusion Electronic nose and colorimeter can quickly and accurately distinguish wild and cultivated Hedysari Radix after multivariate statistical analysis,which is simple and feasible.The combined analysis of its related properties and active components can be used for the quality evaluation of Hedysari Radix.