Abstract The study examines the development and application of microclimate standards for primary and secondary school classrooms, so as to ensure and promote the healthy growth of primary and secondary school students. The paper systematically reviews relevant domestic and international standards, analyzes the problems and shortcomings arising from their practical application and proposes effective countermeasures, in order to provide robust references aimed at optimizing the classroom environment in primary and secondary schools for student health, as well as offering practical support to advance the construction of a healthy China.

Objective: To evaluate the classroom environmental management and CO 2 volume concentration in primary and secondary schools from Liaoning, Tianjin, and Shanghai, thereby providing a scientific basis for developing targeted strategies to improve classroom air quality. Methods: From December 16 to 26, 2024, by using stratified random cluster sampling method, the questionnaire survey was conducted in 72 primary and secondary schools (24 each of primary, junior high, and regular high schools) across Liaoning, Tianjin and Shanghai. Information on heating, ventilation and other classroom environmental management was collected. Additionally, 108 classrooms were selected for on site microclimate measurements, including temperature, humidity, wind speed and CO 2 volume concentration. Univariate analysis and multiple linear regression models were employed to explore related factors of classroom CO 2 volume concentration. Results: Among the three provinces/municipalities, 20.8% of schools regularly monitored the microclimate. The overall compliance rate for classroom CO 2 volume concentration was 17.6%. Multiple linear regression analysis showed that CO 2 volume concentration in regular and junior high school classrooms were higher than in primary school classrooms ( β=0.067, 0.046, 95%CI =0.036-0.099, 0.013-0.080); classrooms ventilated regularly in the morning and afternoon had higher CO 2 volume concentration than those ventilated during every break between classes ( β=0.043, 95%CI = 0.007- 0.080); both temperature ( β=0.010, 95%CI =0.004-0.016) and humidity ( β=0.003, 95%CI =0.002-0.004) were positively correlated with CO 2 volume concentration (all P <0.05). Conclusions Excessive CO 2 volume concentration in primary and secondary school classrooms is a prominent issue, and ventilation frequency is a key intervenable factor for controlling CO 2 levels. It is recommended to promote ventilation during every break between classes as a core management measure and to emphasize air quality supervision in regular high school classrooms.

Intravitreal anti-vascular endothelial growth factor(anti-VEGF)therapy has been widely used, but the variability in its therapeutic efficacy limits individualized treatment. In recent years, the application of artificial intelligence(AI)has opened up new avenues for personalized treatment response prediction, and its core branches include machine learning(ML)and deep learning(DL). This review systematically retrieved and analyzed 41 relevant studies published up to April 2025. Comprehensive analysis reveals that AI predictive models are evolving from forecasting single endpoints(such as visual acuity or central retinal thickness)to integrating multi-dimensional endpoints(encompassing anatomical, functional, and treatment demand parameters)and generating predictive imaging outputs. In terms of technical approaches, DL models(28 studies, accounting for 68.3%)dominate this field due to their robust image interpretation capabilities, while ML models(10 studies, 24.4%)retain significant value in the analysis of structured clinical data. Cross-disease comparisons indicate that research efforts are most concentrated on age-related macular degeneration(ARMD)and diabetic macular edema(DME), with shared conceptual frameworks for model construction, yet distinct anatomical and functional indicators are prioritized for each disease. Currently, the field confronts several key challenges, including insufficient prospective clinical validation, limited model interpretability(the “black box problem”), and a scarcity of high-quality multi-center datasets. Moving forward, it is imperative to advance real-world validation and develop explainable AI techniques to expedite the clinical translation of these predictive models.

Objective To investigate the prevalence of Clonorchis sinensis human infections in Congjiang County, Guizhou Province in 2023, so as to provide insights into formulation of the clonorchiasis control strategy. Methods Congjiang County was divided into eastern, western, southern, northern and central areas according to the geographical locations, and one township was randomly sampled from each area. Then, each administrative village was randomly sampled from each township, and 200 permanent residents over 3 years of age were randomly sampled from each village. Participants’ stool samples were collected for detection of C. sinensis eggs with the Kato-Katz technique (two slides for each stool sample), and the prevalence and intensity of C. sinensis infections were calculated. In addition, the risk factors of clonorchiasis were identified among participants using a questionnaire survey. Results A total of 1 001 residents were included, and the prevalence of C. sinensis infections was 16.28% (163/1 001), with mild infections as the predominant category of infection intensity [73.01% (119/163)]. The prevalence rates of C. sinensis human infections were 30.50% (61/200), 1.50% (3/200), 30.35% (61/201), 12.50% (25/200), and 6.50% (13/200) at five survey sites, respectively (χ² = 107.03, P < 0.05), and there was a significant difference in the prevalence of C. sinensis infections between men [22.44% (112/499)] and women [10.16% (51/502)] (χ² = 27.71, P < 0.05). The prevalence of C. sinensis infections was relatively high among participants at ages of 60 to 70 years [26.14% (23/88)], public servants [46.15% (6/13)], and Han ethnic participants [33.33% (5/15)]. The prevalence of C. sinensis infections was higher among participants with a habit of consuming raw or un-dercooked freshwater fish and shrimp [22.06% (90/408)] than among those without the habit [12.31% (73/593)] (χ² = 16.85, P < 0.05), and there was no significant difference in the prevalence of C. sinensis infections between participants with [13.99% (41/293)] and without separation of raw and cooked chopping boards [17.23% (122/708)] (χ² = 1.59, P > 0.05). In addition, the prevalence of C. sinensis infections was 8.70% (2/23) and 16.46% (161/978) among participants with and without fever complicated by discomfort in the right upper abdomen during the past half year (χ² = 0.99, P > 0.05). Conclusions The prevalence of C. sinensis human infections was high in Congjiang County, Guizhou Province in 2023, and infections predominantly occurred among young and middle-aged men. Intensified health education among high-risk residents and alteration of dietary habits of consuming raw or undercooked freshwater fish or shrimp are recommended to reduce the prevalence of C. sinensis human infections.

Objective To construct and compare logistic regression and decision tree models for predicting systemic inflammatory response syndrome (SIRS) in patients with type B aortic dissection (TBAD) after interventional surgery. Methods A retrospective analysis was conducted on clinical data of TBAD patients at Peking University Shenzhen Hospital from 2020 to 2024. The patients were divided into a SIRS group and a non SIRS group based on whether SIRS occurred within 24 hours after surgery. Multivariate logistic regression was used to analyze the influencing factors of SIRS occurrence in TBAD intervention patients, and a decision tree model was constructed using SPSS Modeler to compare the predictive performance of the two models. Results A total of 742 patients with TBAD were included, including 579 males and 163 females, aged 27-97 (58.85±10.79) years. Within 24 hours after intervention, a total of 506 patients developed SIRS, with an incidence rate of 68.19%. Logistic regression analysis showed that the extensive involvement of the dissection, the surgical time≥2 hours, PET coated stents implanted, serum creatinine, white blood cell count, C-reactive protein, monocyte (MONO), neutrophil count levels elevated, estimated glomerular filtration rate and decreased albumin levels were independent risk factors for SIRS (P<0.05). The decision tree model selected a total of 10 explanatory variables and 6 layers with 37 nodes, among which MONO was the most important predictor. The area under the decision tree model curve was 0.829 [95%CI (0.800, 0.856)], which was better than the logistic regression model's 0.690 [95%CI (0.655, 0.723)], and the difference was statistically significant (P<0.001). Conclusion The incidence of SIRS after TBAD intervention is high, and the decision tree model has better predictive performance than logistic regression. It can identify high-risk patients with higher accuracy and provide a practical tool for early clinical intervention.

Background Enhancing the sense of honor and belonging among medical staff is a key component of establishing a modern hospital management system. Compared to medical staff at general hospitals, medical staff at oncology hospitals are more prone to job burnout, yet few studies in China have focused on job burnout among employees in oncology hospitals. Objective To propose a hypothetical model in which job well-being moderates the relationship between stressors and occupational burnout, to explore how stressors influence burnout and potential moderating role of job well-being, and to provide better understanding of job burnout and motivate employees based on the double-edge sword effect of stressors. Methods A cross-sectional survey was conducted in May 2022 at a tertiary oncology specialty hospital in Chongqing, China. A total of 1 898 medical staff were recruited. Data were collectedthrough four scales including a general information questionnaire, Maslach Burnout Inventory-Human Service Survey, Work Stressor Scale, and Occupational Well-being Scale for Medical Staff. Independent sample t-tests and one-way ANOVA were used for univariate comparisons of job burnout. Pearson correlation analysis was employed to examine the relationships between job burnout, stressors, and job well-being. Hierarchical linear regression was conducted to identify factors influencing job burnout and to examine potential moderating role of job well-being in the relationship between stressors and job burnout. Results A total of 2 123 questionnaires were distributed, with 1 898 valid responses, yielding an effective response rate of 89.4%. The prevalence of job burnout was 60.1%. The correlation coefficient was 0.717 (P<0.001) between stressors and burnout, −0.784 (P<0.05) between job well-being and burnout, and −0.744 (P<0.001) between stressors and job well-being. The quadratic stressors showed a statistically significant effect on burnout (β=0.404, P<0.01). Job well-being positively moderated the relationship between the linear stressors and burnout (β=1.289, P<0.001) and negatively moderated the relationship between the quadratic stressors and job burnout (β=−0.571, P<0.01), explaining 7.1% of the variance. Conclusion Job burnout prevalence is relatively high among employees in oncology hospitals. There is a curvilinear relationship between stressors and job burnout, with job well-being moderating this relationship. From a practical perspective, it is recommended to establish a tiered stress alert system to monitor employees’ stress levels and prevent prolonged exposure to high-pressure conditions. Additionally, improving employees’ job well-being through institutional incentives and developmental support can enhance its moderating role in mitigating the adverse effects of stressors on job burnout. Meanwhile, fostering coordinated responses between organizations and individuals is crucial for strengthening mental health management systems, thereby supporting a healthy, stable, and sustainable development of the healthcare workforce.

In this work, starting from 4-hydroxycoumarin, three series of 22 coumarin derivatives, among which 8 have not been reported in the literature, were synthesized and their in vitro anti-inflammatory activities and mechanisms of action were preliminarily investigated using mouse macrophage model. The results showed that most of the derivatives could significantly inhibit the production of pro-inflammatory factor NO, with compounds 2e, 2f, 2g, 2h, 2i, 2j, 4e, and 4f showing better anti-inflammatory activity than the positive control drug dexamethasone. Further experiments showed that compounds 2h and 4f significantly inhibited the production of pro-inflammatory factors IL-6, TNF-α and IL-1β in RAW264.7 macrophages, and could, therefore, be used as lead compounds for further studies.

OBJECTIVE From the perspective of China’s healthcare system， to evaluate the cost-effectiveness of tislelizumab in patients with locally advanced or metastatic squamous or non-squamous non-small cell lung cancer （NSCLC） whose disease progresses or is intolerable after receiving platinum-containing dual chemotherapy in the past. METHODS Rationale-303 research data were used to construct a partitioned survival model. The model period was set to be 21 days and simulated to 120 months. Using quality-adjusted life year （QALY） as a health output index， the incremental cost-effectiveness ratio （ICER） was calculated by discounting cost and health output with a discount rate of 5%. Single-factor sensitivity analysis and probability sensitivity analysis were performed to verify the robustness of the basic analysis results. RESULTS Cost-utility analysis results showed that the ICER of tislelizumab group was 65 653.52 yuan/QALY， compared with docetaxel group. This means that the regimen of tislelizumab was more cost-effective than the docetaxel regimen when the willingness-to-pay threshold （WTP） was 3 times China’s gross domestic product （GDP） per capita in 2023 （268 200 yuan/QALY）. The results of single-factor sensitivity analysis showed that the three parameters that had a greater impact on ICER were the prices of tislelizumab， docetaxel and pemetrexed. The results of the probabilistic sensitivity analysis showed that the probabilities of the above two treatment regimens being cost-effective were both 50% when the WTP threshold was approximately 65 000 yuan/QALY. The probability of tislelizumab regimen being cost- effective was 100% when the WTP threshold was ≥134 000 yuan/QALY. CONCLUSIONS From the perspective of China’s healthcare system， when taking 3 times China’s GDP per capita in 2023 as the WTP threshold， tislelizumab is cost-effective for patients with locally advanced or metastatic squamous or non-squamous NSCLC after receiving platinum-containing dual chemotherapy in the past， compared with docetaxel.

Extensive evidence has demonstrated that glucagon-like peptide-1 receptor agonists (GLP-1RAs) can ameliorate obesity. Our previous studies revealed that (Ex-4)₂-Fc, a long-acting GLP-1RA we developed, depends on the leptin pathway to treat obesity. However, the mechanisms linking (Ex-4)₂-Fc and leptin resistance remain largely unclear. To address this question, we explored the mechanism of GLP-1RAs from the perspective of the gut microbiota, as increasing evidence indicates an important link between the gut microbiota and obesity. This study aimed to explore the potential role of the gut microbiota in the treatment of GLP-1RAs. We found that (Ex-4)₂-Fc treatment reshaped obesity-induced gut microbiota disturbances and substantially increased the abundance of Akkermansia muciniphila (Am). In addition, (Ex-4)₂-Fc did not respond well in antibiotic-treated (ATB) Obese mice. Subsequent studies have shown that this defect can be overcome by gavage with Am. In addition, we found that Am enhanced (Ex-4)₂-Fc therapy by producing the metabolite inosine. Inosine regulates the macrophage adenosine A2A receptor (A2A) pathway to indirectly reduce leptin levels in adipocytes Thus, elucidating the role of metabolites in regulating the leptin pathway will provide new insights into GLP-1RAs therapy and may lead to more effective strategies for guiding the clinical use of antidiabetic agents.