Background Ozone (O₃) is a major air pollutant. The existing monitoring system has uneven distribution of sites, insufficient coverage in underdeveloped areas, and low temporal resolution, making it difficult to obtain hourly data. This limits the dynamic identification of pollution and the formulation of prevention and control strategies. Objective To construct an hourly O₃ concentration estimation model based on ensemble machine learning, aiming to improve the accuracy of pollution exposure assessment and explore O₃ health impacts. Methods This study integrated land use regression modeling with modern machine learning techniques, employing random forest and XGBoost algorithms to construct base models, and stacking integration using non-negative least squares. The ensemble model was trained and validated across China using high-resolution, multi-source geographic data (e.g., meteorologicaldata, population density, land cover types, and aerosol optical thickness). It was tested in Taiyuan City, combined with a distributed lag non-linear model to analyze the association between O₃ and emergency admissions. Results The constructed ensemble model performed well in predicting O₃ concentration, with a higher coefficient of determination (R²) and a lower root-mean-square deviation (RMSE) compared to the single models. The R² improved from 0.90 to 0.92, and the RMSE decreased from 11.41 to 10.62, enhancing both prediction accuracy and generalization ability. In the application to Taiyuan City, the model successfully imputed the hourly-level data for the entire year. The distributed lag non-linear model analysis revealed that the relative risk (RR) values for the 6th to 8th days following O₃ exposure were 1.14 (95%CI: 1.01, 1.29), 1.16 (95%CI: 1.02, 1.31), and 1.14 (95%CI: 1.01, 1.29), respectively, which were significantly higher than 1, indicating a significant lagged association (lagged 6-8 d) between O₃ and the number of emergency room visits. Conclusion A high-precision, hourly-level O₃ concentration estimation model is successfully constructed by combining the land use regression model with an ensemble machine learning approach to provide a scientific basis for environmental policy formulation and public health intervention. The application of the model verifies its generalization ability and practical application value, which can provide a new technical framework for subsequent environmental health research.

Under the current upsurge of cross-disciplinary research between artificial intelligence （AI） and traditional Chinese medicine （TCM）， the inheritance of academic thought in TCM is confronted with the deep-seated predicament of cognitive paradigm dislocation. The existing AI model is based on the classical reasoning mode of formal logic and statistical probability， which is difficult to adapt to the nonlinear and holistic cognitive logic of TCM with image-based thinking and syndrome-differentiated treatment as the core， resulting in systematic misreading and loss of the core essence in digital inheritance. Based on this， this paper proposes to construct a new cognitive model oriented towards the context of TCM. Its essence is not to have AI imitate the thinking of TCM， but to establish an auxiliary understanding framework based on semantic mapping and relational reasoning. It is advocated that the role of AI should be reconstructed from a knowledge substitute to a clinical interactor， and its application boundary in the inheritance of TCM wisdom should be clarified. By establishing the theoretical framework and practical path of human-computer collaboration， this paper aims to provide a scientific basis for realizing the deep integration of AI technology and the academic thought in TCM.

Under the current upsurge of cross-disciplinary research between artificial intelligence （AI） and traditional Chinese medicine （TCM）， the inheritance of academic thought in TCM is confronted with the deep-seated predicament of cognitive paradigm dislocation. The existing AI model is based on the classical reasoning mode of formal logic and statistical probability， which is difficult to adapt to the nonlinear and holistic cognitive logic of TCM with image-based thinking and syndrome-differentiated treatment as the core， resulting in systematic misreading and loss of the core essence in digital inheritance. Based on this， this paper proposes to construct a new cognitive model oriented towards the context of TCM. Its essence is not to have AI imitate the thinking of TCM， but to establish an auxiliary understanding framework based on semantic mapping and relational reasoning. It is advocated that the role of AI should be reconstructed from a knowledge substitute to a clinical interactor， and its application boundary in the inheritance of TCM wisdom should be clarified. By establishing the theoretical framework and practical path of human-computer collaboration， this paper aims to provide a scientific basis for realizing the deep integration of AI technology and the academic thought in TCM.

Objective To explore the mechanism of TubA in the treatment of ulcerative colitis in mice,and to lay a foundation for the treatment strategy of ulcerative colitis.Methods Twenty C57BL/6 mice aged 6-8 weeks were randomly divided into 4 groups(n=5):the control group drank pure water every day,the model group and the treatment groups drank 3％dextran sulfate sodium(DSS)every day,and the treatment groups were injected with 10 mg/kg TubA and 20 mg/kg TubA every day from the third day,respectively.The weight changes of mice in all groups were recorded.Nine days later,the serum of mice was collected,and the expression levels of inflammatory factors IL-1β,IL-6 and IL-10 in serum were detected by ELISA.HE staining was used to observe the pathological changes of the mouse colon.The expression of myeloperoxidase(MPO)was detected by immunohistochemistry,the mRNA levels of inflammatory factors IL-1β,IL-6 and IL-10 were detected by RT-qPCR,and the expressions of GPX4 and FTH were detected by immunohistochemistry.The mRNA and protein expression levels of GPX4,GCLM,FTH,Nrf2,Keap1 and HO-1 in colon tissues were detected by RT-qPCR and Western blotting.Results Compared with the control group,the body weight and colon length of the model group decreased significantly.HE staining showed that inflammatory cells infiltrated the mucosa and submucosa of colon tissue,goblet cells were lost and crypt structure disordered and disappeared.Immunohistochemistry showed that the expression of MPO and FTH proteins were significantly increased,while the expression of GPX4 protein was significantly decreased(P＜0.05).The mRNA and protein expression levels of IL-1β and IL-6 were significantly increased,while the mRNA and protein expression levels of IL-10 were significantly decreased(P＜0.05).The mRNA and protein expression levels of FTH,Nrf2 and HO-1 were significantly increased,while the mRNA and protein expression levels of GPX4,GCLM and Keap1 were significantly decreased(P＜0.05).After TubA treatment,compared with the model group,all these changes mentioned above suppressed(P＜0.05).Conclusion TubA may reduce ulcerative colitis symptoms by inhibiting ferroptosis,providing new ideas for the treatment of ulcerative colitis.

Objective:To explore the clinical, imaging, and pathological features of glottic squamous cell carcinoma of the larynx and their relationship with prognosis. Methods:A retrospective analysis was conducted on the clinical, imaging, and pathological data of 130 patients with glottic squamous cell carcinoma of the larynx who were treated at the First People's Hospital of Yinchuan and the General Hospital of Ningxia Medical University from January 2018 to March 2023. Imaging examinations （CT and MRI） were used to evaluate the lesion boundary clarity, density, enhancement nature, and enhancement degree. Postoperative pathological examination was used to determine the pathological nature, immunohistochemistry, etc. Statistical methods such as χ² test, Spearman correlation analysis, multivariate logistic regression analysis, and Kaplan-Meier method were used to analyze the data. Results:Among the 130 patients, 127 were male and 3 were female, with an average age of （61.92±9.595） years. There was a correlation between clinical, imaging, and pathological features. Multivariate analysis showed that heterogeneous MRI density （OR=12.414;P=0.019） and squamous cell carcinoma as a subtype were correlated. The initial symptom of non-hoarseness （HR=6.045;P=0.010） and unclear MRI boundary （HR=12.559; P=0.029） were independent risk factors for poor prognosis in patients with glottic squamous cell carcinoma of the larynx. Conclusion:There is a correlation between the clinical, imaging, and pathological features of patients with glottic squamous cell carcinoma of the larynx, and they can affect prognosis. The initial symptom of non-hoarseness and unclear MRI boundary of the tumor are independent risk factors for poor prognosis.
Humans ; Laryngeal Neoplasms/diagnosis* ; Prognosis ; Male ; Female ; Retrospective Studies ; Middle Aged ; Carcinoma, Squamous Cell/diagnosis* ; Magnetic Resonance Imaging ; Glottis/pathology* ; Tomography, X-Ray Computed ; Aged

Objective:To investigate the clinical characteristics and major allergens of patients with pollen-food allergy syndrome（PFAS） and their correlation with the severity of symptoms, and to provide a basis for identifying high-risk patients, optimizing the allergen testing process and developing individualized dietary management strategies. Methods:The clinical data of 166 patients with PFAS admitted to our hospital from January 2021 to July 2023 were retrospectively analyzed. The clinical symptoms, pollen types and food allergy of the patients were analyzed by questionnaire survey and serum specific IgE detection. phi coefficient, Apriori algorithm modeling and multivariate logistic regression analysis were used to evaluate the association between allergen and symptom severity. Results:Artemisia pollen was the most common allergen in this area, with a positive rate of 96.39%. Peach and mango were the most common food allergens, which caused allergic reactions in 24.10% and 22.89% of patients, respectively. Oral mucosal symptoms were the main symptoms. Correlation analysis showed that there was a correlation between pollen allergens and allergenic food. Association rule analysis showed that when the patient was allergic to the combination of peanuts and trees, the probability of high severity of symptoms was 82.35%. Multivariate analysis showed that ragweed allergy was significantly positively correlated with the severity of PFAS symptoms. Conclusion:Artemisia pollen and related food allergens play an important role in the pathogenesis of PFAS. Association rule mining and network map analysis revealed direct associations between peanut and tree combination allergy and symptom severity, as well as potential links between other inhaled allergens and specific food allergies. Ragweed and peach allergy are independent risk factors for the aggravation of PFAS symptoms, which can be used as early warning indicators. These results help to improve the screening of high-risk patients and the construction of regional allergen databases.
Humans ; Food Hypersensitivity/immunology* ; Allergens/immunology* ; Retrospective Studies ; Pollen/immunology* ; Cross Reactions ; Immunoglobulin E/blood* ; Rhinitis, Allergic, Seasonal/immunology* ; Artemisia/immunology* ; Male ; Female ; Adult ; Prunus persica/immunology* ; Arachis/immunology* ; Middle Aged ; Surveys and Questionnaires ; Oral Allergy Syndrome

Objective To analyze the burden and epidemic trends of gastric cancer in China from 1990 to 2021, and to provide a scientific basis for the formulation of effective prevention and control strategies. Methods　Data from the 2021 Global Burden of Disease (GBD) database were used to extract the number of the incidence, prevalence, and death cases, as well as the disability-adjusted life years (DALY) for gastric cancer in China from 1990 to 2021. The corresponding crude rates and age-standardized rates were calculated. The Joinpoint regression model was employed to analyze the trends in the burden of gastric cancer, and a comprehensive examination was conducted from multiple dimensions including age, gender, and time. Results From 1990 to 2021, the age-standardized incidence rate (ASIR) of gastric cancer in China decreased from 48.03 per 100,000 to 29.05 per 100,000, the age-standardized prevalence rate (ASPR) decreased from 67.17 per 100,000 to 57.23 per 100,000, the age-standardized mortality rate (ASMR) decreased from 46.05 per 100,000 to 21.51 per 100,000, and the age-standardized DALY rate (ASDR) decreased from 1181.61 per 100,000 to 501.26 per 100,000. The AAPCs of ASIR, ASPR, ASMR, and ASDR were -1.61%, -0.50%, -2.44%, and -2.75%, respectively. The incidence, prevalence, mortality and DALY rates showed a trend of increasing first and then decreasing with age. Although females had higher incidence, prevalence, mortality, and DALY numbers in the older age groups, males exhibited higher crude rates across all age groups. Conclusion　The overall disease burden of gastric cancer in China showed a downward trend from 1990 to 2021, and men and middle-aged and elderly people are the key populations for prevention and control efforts.

Objective To explore the mechanism of TubA in the treatment of ulcerative colitis in mice,and to lay a foundation for the treatment strategy of ulcerative colitis.Methods Twenty C57BL/6 mice aged 6-8 weeks were randomly divided into 4 groups(n=5):the control group drank pure water every day,the model group and the treatment groups drank 3％dextran sulfate sodium(DSS)every day,and the treatment groups were injected with 10 mg/kg TubA and 20 mg/kg TubA every day from the third day,respectively.The weight changes of mice in all groups were recorded.Nine days later,the serum of mice was collected,and the expression levels of inflammatory factors IL-1β,IL-6 and IL-10 in serum were detected by ELISA.HE staining was used to observe the pathological changes of the mouse colon.The expression of myeloperoxidase(MPO)was detected by immunohistochemistry,the mRNA levels of inflammatory factors IL-1β,IL-6 and IL-10 were detected by RT-qPCR,and the expressions of GPX4 and FTH were detected by immunohistochemistry.The mRNA and protein expression levels of GPX4,GCLM,FTH,Nrf2,Keap1 and HO-1 in colon tissues were detected by RT-qPCR and Western blotting.Results Compared with the control group,the body weight and colon length of the model group decreased significantly.HE staining showed that inflammatory cells infiltrated the mucosa and submucosa of colon tissue,goblet cells were lost and crypt structure disordered and disappeared.Immunohistochemistry showed that the expression of MPO and FTH proteins were significantly increased,while the expression of GPX4 protein was significantly decreased(P＜0.05).The mRNA and protein expression levels of IL-1β and IL-6 were significantly increased,while the mRNA and protein expression levels of IL-10 were significantly decreased(P＜0.05).The mRNA and protein expression levels of FTH,Nrf2 and HO-1 were significantly increased,while the mRNA and protein expression levels of GPX4,GCLM and Keap1 were significantly decreased(P＜0.05).After TubA treatment,compared with the model group,all these changes mentioned above suppressed(P＜0.05).Conclusion TubA may reduce ulcerative colitis symptoms by inhibiting ferroptosis,providing new ideas for the treatment of ulcerative colitis.

Objective:To study the clustered regularly interspaced short palindromic repeats (CRISPR) genotype of Yersinia pestis and its regional distribution characteristics in natural plague focus of Tibet Autonomous Region. Methods:A total of 125 representative Yersinia pestis strains isolated from natural plague focus in Tibet Autonomous Region at different times, regions, hosts and vectors were selected as experimental strains, and the phenol chloroform mixed extraction method was used to extract Yersinia pestis DNA. Three pairs of CRISPR primers (for YPa, YPb, YPc locus) were used to amplify the DNA of the experimental strains, and the CRISPR genotype of Yersinia pestis was determined by sequencing. Results:All 125 strains of Yersinia pestis had three CRISPR locus: YPa, YPb, and YPc. A total of 18 spacer were found, including 8 in YPa loci, 6 in YPb loci, and 4 in YPc loci. Two new types of spacers had been discovered, namely b52 and c14. CRISPR typing revealed 10 genotypes, including G1, G7, G7-b4''', G7-b52, G7-c2 -, G8, G22, G22-a4 -, G22-b4''', and G22-c14, of which 6 were newly discovered genotypes. Among the 125 experimental strains, G7 was the main genotype, accounting for 65.6% (82/125), which was distributed in 6 prefecture level citys and 1 region of Tibet Autonomous Region. Next were G22 and G7-c2 - genetypes, accounting for 14.4% (18/125) and 11.2% (14/125), respectively. G22 gene type was distributed in Nagqu, Changdu, Lhasa citys, and Ngari Prefecture, while G7-c2 - genetype was distributed in Shigatse and Shannan cities. Conclusion:The CRISPR locus of Yersinia pestis in natural plague focus of Tibet Autonomous Region is highly polymorphic, and the Yersinia pestis strains with different genotypes have obvious regional distribution characteristics.

Head and neck malignant tumor is one of the most heterogeneous diseases.The multi-disciplinary team(MDT)is an essen-tial component for personal precise diagnosis,treatment and integrated care management of oncologic diseases including head and neck malignant tumor.MDT clinical practice is also an important teaching mode for head and neck malignant tumors,but it is limited by time and space in actual teaching.An internet visualization platform was constructed based on the Internet,hospital HIS/PACS/LIS/EMR system,medical visualization screen,oral endoscope,remote consultation platform and other accessible audio and video terminals,and has been applied in MDT clinical teaching of head and neck malignant tumors,allowing medical students to participate in MDT through a networked visualization platform.Medical students will achieve deep learning for the most heterogeneous malignant tumor.MDT sup-ported by the internet visualization platform provides a new pathway for clinical medical education.