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 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.

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: To explore the interactive mechanisms of middle school students lifestyle with depressive and anxiety symptoms, so as to provide a basis for constructing a precise prevention system of middle school students mental health. Methods: From October to December in 2024, a stratified cluster random sampling method was used to select 6 251 middle school students from Guangxi. The Lifestyle Questionnaire, Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder-7 ( GAD- 7) were used to investigate middle school students lifestyle, depressive symptoms and anxiety symptoms. The relationship of adolescent lifestyle with depressive and anxiety symptoms was analyzed through binary Logistic regression. The network analysis method was used to construct the network of middle school students lifestyle with depressive and anxiety symptoms. Results: A total of 1 690 individuals (27.0%) exhibited depressive symptoms, and 1 071 individuals (17.1%) exhibited anxiety symptoms. Binary Logistic regression analysis revealed that smoking, alcohol consumption, excessive intake of sugary drinks, insufficient vegetable intake, not eating breakfast daily, frequent consumption of fast food, prolonged sedentary time on both weekdays and weekends, insufficient sleep duration on weekdays and weekends, and excessive screen time on weekdays were all associated with depressive symptom ( OR =1.19-2.07) and anxiety symptom ( OR =1.20-1.91) in middle school students(all P ＜0.05). Additionally, excessive screen time on weekends was associated only with depressive symptoms ( OR =1.35, P <0.05). The connection between the lifestyle-depressive symptom cluster was mainly through "breakfast" and "suicidal ideation" (weight=0.31); the connection between the lifestyle-anxiety symptom cluster was mainly through "sedentary time on weekdays" and "uncontrollable worry" (weight=0.34). In the depressive symptom network, "depressed mood" had the highest node strength; in the anxiety symptom network, "uncontrollable worry" had the highest node strength. "Suicidal ideation" was a key bridge node between lifestyle and depressive and anxiety symptoms. Conclusions Unhealthy lifestyles are significant modifiable risk factors for depressive and anxiety symptoms among middle school students. Regular breakfast intake and management of sedentary behavior should be prioritized as important intervention entry points.

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.

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.

Objective To investigate the changes in the gut microflora(GM)composition and metabo-lites in children with allergic rhinitis(AR)based on high-throughput sequencing technology.Methods From December 2023 to May 2024,11 preschool children with allergic rhinitis(AR)who visited the pediatric outpa-tient department of Shantou University Medical College Longgang Maternal and Child Health Hospital Clini-cal College(Longgang District Maternal and Child Health Hospital)were selected as the AR group,and 21 healthy children of the same age who underwent physical examinations in the child health care department during the same period were selected as the control group.Fecal samples were collected from both groups,and DNA was extracted and amplified.High-throughput sequencing technology was used to analyze the composi-tion of gut microbial genes,and the differences in gut microbiota composition and metabolites between the two groups were compared.Results Compared with the control group,the AR group had a higher Shannon index,with a significant increase in the abundance of Proteobacteria and Saccharibacteria.The relative abundance of Veillonella,Enterococcus,Escherichia coli/Shigella,Haemophilus,and Streptococcus was significantly high-er,while the relative abundance of Lachnospira,Anaerostipes,Enterobacteriaceae,Anaerobacterium,and Eu-bacterium was significantly lower(P＜0.05).There were statistically significant differences in the principal components of GM metabolites between the two groups(P＜0.05).A total of 2 540 different metabolites were identified,of which 1 185 metabolites were significantly increased,20 metabolites were significantly de-creased,and 1 335 metabolites showed no significant changes.Variable importance in projection(VIP)analy-sis revealed 30 significantly different metabolites.Compared with the control group,2 fecal metabolites were significantly downregulated in the AR group,specifically 3-furanmethanol glucoside and membrane heptosyl A.Conclusion The gut microbiota of preschool children with AR has undergone significant changes,which are related to inflammation and immune function.