Objective: To evaluate the current situation of thermal environment in primary and secondary school classrooms during winter, and to analyze students thermal comfort needs, so as to provide a basis for improving classroom thermal environment. Methods: From December 16 to 26, 2024, a stratified cluster random sampling method was used to select 90 classrooms from 15 primary and secondary schools in centralized/air conditioned heating areas(Liaoning Province, Tianjin City, Shanghai City) and naturally ventilated areas(Anhui Province and Jiangxi Province)for on site environmental measurement. A questionnaire survey was conducted among 743 students. The differences between groups using the χ 2 test were compared. Based on actual measurement data, a predicted mean vote prepared percentage of dissatisfied (PMV-PPD) model for centralized/air conditioned classrooms and an adaptive model for naturally ventilated classrooms were established, and the thermal neutral temperature and comfort interval were calculated. Results: The average outdoor temperature during on site measurement was 4.00(0.20，7.00)℃. In classrooms with centralized or air conditioned heating systems, the measured average temperature was (19.33±2.59)℃, with a thermal comfort range of 20.35-25.35 ℃ and a thermal neutral temperature of 22.85 ℃. And 13.92% of students reported feeling cold, while 80.80% felt comfortable. In classrooms with natural ventilation, the measured average temperature was (12.26±1.83)℃, with a thermal neutral temperature of 19.67 ℃ and a thermal comfort range of 16.17-23.17 ℃. About 48.33% of students reported feeling cold, and 49.81 % felt comfortable.The results of univariate analysis showed that there were statistically significant differences in shoe thickness, temperature sensation, relative humidity sensation and wind speed sensation between centralized/air conditioned heating areas ( χ 2= 7.01 , 31.47, 13.57, 13.80,all P <0.05). There were also statistically significant differences in school stage for primary and secondary school students, body mass index, classroom location for seat, temperature sensation, relative humidity sensation and wind speed sensation between naturally ventilated areas ( χ 2=42.13, 11.13, 11.04, 60.39, 29.27, 38.46,all P <0.05). Conclusions There are differences in thermal environment and students subjective thermal comfort in primary and secondary schools under different ventilation modes in winter. The temperature standards for heated classrooms should be revised, and differentiated environmental regulation strategies should be adopted based on different ventilation methods to improve students health and comfort levels.

This paper outlines the development of artificial intelligence （AI） and its applications in traditional Chinese medicine （TCM） research， and elucidates the roles and advantages of large language models， knowledge graphs， and natural language processing in advancing syndrome identification， prescription generation， and mechanism exploration. Using spleen-stomach diseases as an example， it demonstrates the empowering effects of AI in classical literature mining， precise clinical syndrome differentiation， efficacy and safety prediction， and intelligent education， highlighting an upgraded research paradigm that evolves from data-driven and knowledge-driven approaches to intelligence-driven models. To address challenges related to privacy protection and regulatory compliance in cross-institutional data collaboration， a "trusted federated evidence-based analysis platform for TCM spleen-stomach diseases" is proposed， integrating blockchain-based smart contracts， federated learning， and secure multi-party computation. The deep integration of AI with privacy-preserving computing is reshaping research and clinical practice in TCM spleen-stomach diseases， providing feasible pathways and a technical framework for building a high-quality， trustworthy TCM big-data ecosystem and achieving precision syndrome differentiation.

Diabetic sarcopenia (DS) is a common but often ignored skeletal muscle complication in individuals with diabetes mellitus. It is characterized by progressive loss of skeletal muscle mass, reduced muscle strength, and impaired physical performance, which may further increase the risk of falls, disabilities, metabolic disorders, and adverse clinical outcomes. Traditionally, DS has been attributed mainly to hyperglycemia, insulin resistance, aging-related muscle decline, and chronic complications of diabetes. However, increasing evidence suggests that lipid metabolic disturbance and pathological lipid metabolic reprogramming are not merely secondary consequences of diabetes, but may actively participate in the initiation and progression of DS. Under diabetic conditions, impaired fatty acid uptake, transport, oxidation, and storage disrupt skeletal muscle metabolic homeostasis, leading to ectopic lipid deposition and accumulation of lipotoxic intermediates. These lipid-derived metabolites can aggravate insulin resistance, impair mitochondrial energy production, enhance oxidative stress, activate chronic low-grade inflammation, and disturb protein synthesis and degradation balance, thereby accelerating skeletal muscle atrophy and functional decline. Lipid metabolic dysregulation may also interact with multiple pathological processes involved in DS, including mitochondrial dysfunction, inflammatory signaling, oxidative damage, impaired autophagy, and gut microbiota imbalance. These mechanisms do not occur independently; instead, they form a complex bidirectional vicious cycle with diabetes-related metabolic disorders. Specifically, mitochondrial dysfunction reduces fatty acid oxidative capacity, which further promotes lipid accumulation and lipotoxicity. Inflammatory activation can impair insulin signaling and muscle protein metabolism, while lipid overload may in turn amplify inflammatory responses. Similarly, gut microbiota dysbiosis and altered microbial metabolites may influence systemic inflammation, lipid metabolism, and skeletal muscle homeostasis. Therefore, lipid metabolic reprogramming provides an important mechanistic perspective for understanding the progression of DS from metabolic disturbance to structural and functional muscle impairment. Exercise intervention is an effective and clinically feasible non-pharmacological strategy for the prevention and management of DS. Both aerobic exercise and resistance training have been shown to improve insulin sensitivity, enhance fatty acid oxidation, increase mitochondrial biogenesis, reduce ectopic lipid deposition, and attenuate lipotoxic metabolite accumulation. These adaptations not only improved glucose and lipid metabolism, but also increased the preservation of muscle mass, muscle strength, and physical function. Moreover, combined exercise strategies may provide complementary benefits by integrating the metabolic advantages of aerobic exercise with the anabolic and functional effects of resistance training. Based on analyses of publicly available datasets and literature evidences, this review systematically summarizes the role of lipid metabolic disorders in the pathogenesis of DS, with particular attention to the molecular mechanisms linking lipid dysregulation to insulin resistance, chronic inflammation, oxidative stress, mitochondrial dysfunction, and gut microbiota disturbance. Furthermore, this review discusses the potential mechanisms by which exercise intervention improves DS through the regulation of lipid metabolic reprogramming, and outlines exercise prescription strategies in terms of modality, intensity, frequency, and duration. Understanding the interaction between lipid metabolism and skeletal muscle dysfunction may provide new theoretical evidence for early identification, mechanistic research, and precision exercise therapy in DS. Overall, targeting pathological lipid metabolic reprogramming through exercise intervention represents a promising and clinically actionable approach for improving muscle health and prognosis in individuals with DS.

Objective: To explore the influencing factors of incident caries at age 5 among caries-free 3-year-old children in Beijing, construct a machine learning prediction model based on oral health behavioral data, and provide a scientific basis and practical tool for early risk identification, stratified prevention and control, and home-kindergarten-medical collaborative intervention of incident dental caries in preschool children. Methods: This study has been reviewed and approved by the Medical Ethics Committee, and written informed consent was obtained from the guardians of the study participants and their guardians. Children with complete baseline data at age 3 and follow-up data at age 5 from Beijing public oral health programs were included. Oral examinations were conducted according to World Health Organization diagnostic criteria, and questionnaires were completed by guardians. Risk factors were screened by Logistic regression. The total sample was randomly divided into a test set (20%) and a validation set (80%). Five-fold cross-validation was performed on the validation set for model training and tuning, and the final model performance was evaluated on the test set. Four machine learning models—decision tree, random forest, Extreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM)—were constructed. Model performance was evaluated using the area under the curve (AUC), accuracy, and specificity. Shapley Additive Explanations (SHAP) was used for model interpretation. Results: The incidence of incident caries for 3 372 5-year-old children in Beijing was 50.96%. Multivariate logistic regression showed that parental caries, sleeping with milk, frequent feeding at night, no postprandial cleaning, high sugar intake, insufficient bedtime tooth brushing, and non-fluoride toothpaste use were significant risk factors (P < 0.05). Although all four machine learning models performed well, the XGBoost model performed the best (AUC = 0.806). Feature importance and SHAP analysis indicated that the frequency of bedtime tooth brushing, the frequency of candy consumption, and parental caries status were the top three predictors. Conclusion The XGBoost model based on oral health behaviors at age 3 can accurately predict the risk of incident caries in 5-year-old children in Beijing. Bedtime tooth brushing, sugar control, and parental oral health management are key points for caries prevention in preschool children.

ObjectiveTo explore the association between metabolic score for visceral fat（METS-VF） and cardiometabolic multimorbidity（CMM） as well as cognitive function in the elderly population， revealing the role of METS-VF as an assessment tool in this population， and providing evidence and new perspectives for the early screening and intervention strategies of CMM and cognitive function. MethodsThis study is based on cross-sectional data from the Hubei memory and aging cohort study（HMACS）， which includes elderly individuals aged 60 and above. The METS-VF index was calculated and divided into quartiles（Q1-Q4）. CMM was assessed through a questionnaire， defining CMM as the coexistence of at least two of the following conditions： diabetes， heart disease， and stroke. Standardized cognitive tests were used to evaluate overall cognition， memory， language， executive function， and attention. Logistic and Linear regression analysis was performed to explore the association between METS-VF and the risk of CMM as well as cognitive function. A restricted cubic spline was used to test the dose-response relationship， and subgroup analysis was conducted to assess the variation of METS-VF in different populations. Additionally， multinomial unordered logistic regression was used to evaluate the performance of METS-VF in predicting CMM morbidity patterns. ResultsA total of 3 790 elderly participants aged 60 and above were included. After adjusting for confounding factors， compared with the lowest quartile（Q1）， the Q4 group of METS-VF was associated with a higher risk of CMM ［OR=3.00，95%CI （2.18， 4.16）］， and with lower scores in overall cognition ［b=-0.12， 95%CI （-0.21，-0.04）］， attention ［b=-0.14， 95%CI （-0.24，-0.05）］， and executive function ［b=-0.10， 95%CI （-0.20，-0.00）］. Dose-response analysis did not show a nonlinear relationship between METS-VF and either CMM or cognitive function （P for nonlinear > 0.05）. Subgroup analysis revealed that the male group with higher METS-VF had lower overall cognitive scores， while the female group showed lower executive function scores （P for interaction ＜ 0.05 for both）. Multinomial unordered logistic regression analysis indicated that the METS-VF index was associated with an increased risk of diabetes with coronary heart disease ［OR=2.62，95%CI （1.66， 4.15）］ or concomitant stroke ［OR=2.66，95%CI （1.73， 4.09）］， especially in the group with both diabetes and stroke and coronary heart disease， where the association between METS-VF and the risk was strongest. ConclusionsAn increased METS-VF is associated with a higher risk of CMM and lower scores in overall cognition， attention， and executive function in the elderly population. Diabetes may be a key driving factor in the multimorbidity model. The METS-VF index can serve as a dual-purpose tool for screening cardiovascular metabolic risks and assessing cognitive function.

Objective:To evaluate the therapeutic value of radiotherapy in combined immunotherapy and chemotherapy as first-line treatment for patients with oligometastatic non-small cell lung cancer (NSCLC).Methods:A retrospective analysis was conducted on data from 195 NSCLC patients who lacked epidermal growth factor receptor (EGFR) or anaplastic lymphoma kinase (ALK) mutations and were treated at the Anyang Tumor Hospital and the Fourth Hospital of Hebei Medical University from January 2019 to December 2021. These patients consisted of 166 male and 29 female cases, aged from 28 to 85 years, with an average age of (61.4 ± 9.3) years. These patients were divided into two groups, with each group receiving the radiotherapy and combined immunotherapy and chemotherapy (the radiotherapy and combination group, n = 60) and combined immunotherapy and chemotherapy only (the combination group, n = 135). Then, propensity score matching (PSM) was performed to analyze the differences in prognosis between both groups before and after PSM, as well as the short-term efficacy and adverse reactions after PSM. Results:For the 195 NSCLC patients, the median follow-up time was 31.8 months, with median overall survival (OS) and median progression-free survival (PFS) recorded at 23.8 months and 9.2 months, respectively. The radiotherapy and combination group exhibited enhanced 1-, 2-, and 3-year survival rates of 78.5%, 55.9%, and 45.1%, respectively, significantly higher than the combination group (48.3%, 35.6%, and 26.6%, respectively, χ2 = 14.65, P < 0.001). Similarly, the radiotherapy and combination group displayed 1-, 2-, and 3-year PFS rates of 51.9%, 29.5%, and 22.7%, respectively, exceeding those of the combination group (30.0%, 24.5%, and 16.9%, respectively, χ2=6.09, P=0.014). After PSM, the radiotherapy and combination group manifested an objective response rate (ORR) of 60.0% (33/55) and a disease control rate (DCR) of 89.1% (49/55), which were 16.4% (9/55) and 56.4% (31/55), respectively for the combination group. These results suggested that the radiotherapy and combination group demonstrated significantly higher ORR and DCR ( χ2 = 22.18, 14.85, P<0.001). After PSM, the radiotherapy and combination group yielded 1-, 2-, and 3-year survival rates of 70.9%, 52.3%, and 41.9%, respectively, significantly than the combination group (43.6%, 29.8%, and 27.1%, respectively, χ2=8.95, P=0.003). The radiotherapy and combination group exhibited 1-, 2-, and 3-year PFS rates of 47.3%, 27.3%, and 18.7%, respectively, significantly higher than the combination group (23.6%, 17.6%, and 15.4%, respectively, χ2 = 6.71, P = 0.010). Multivariate Cox regression analysis revealed that independent factors affecting OS included clinical stage, treatment regimen, number of immunotherapy cycles, and treatment efficacy ( HR = 1.88, 2.11, 0.23, 1.79, P < 0.05). Similarly, independent factors affecting PFS consisted of treatment regimen, number of immunotherapy cycles, and treatment efficacy ( HR = 1.62, 0.37, 3.42, P <0.05). There were no statistical differences in the incidence of grade ≥ 2 bone marrow suppression (18.2% vs. 12.7%) and grade ≥ 2 pneumonia (21.8% vs. 14.5%) between both groups ( P>0.05). Conclusions:Introducing radiotherapy into combined immunotherapy and chemotherapy as first-line treatment for oligometastatic NSCLC can optimize both local and systemic disease control and significantly improve patient prognosis without increasing treatment-related adverse reactions.

Colorectal cancer(CRC)is a common malignancy of the digestive system,with increasing morbidity and mortality worldwide.The standard treatment for CRC has,in the past,been surgery,chemotherapy,and radiotherapy.However,these treatments have significant side effects and are particularly challenging for patients with advanced metastatic CRC(mCRC).Therefore,it is crucial to explore alternative and more effective treatments.In recent years,with the development of molecular technology,numerous biomarkers have been identified,and targeted therapy and immunotherapy have achieved surprisingly positive results in the treatment of mCRC.Patients receiving targeted ther-apy and immunotherapy have an improved prognosis and quality of life.On this basis,this article reviews the latest research progress in tar-geted therapy and immunotherapy for mCRC,providing a reference for precision treatment of mCRC.

Objective:To investigate the applicability and surgical effect of direct horizontal suture in the repair of defects after the excision of eyelid nevus.Methods:The clinical data of patients with eyelid nevus who were admitted to Department of Facial and Neck Plastic Surgery, Plastic Surgery Hospital of Chinese Academy of Medical Sciences from March 2015 to March 2023 were retrospectively analyzed. After the eyelid nevus was removed, the defect was closed by horizontal suture parallel to the eyelid margin. In the preoperative simulation suture scheme, one or more horizontal lines were marked on the eyelid skin according to the scope of the nevus. The intersection points of the horizontal lines and the edges of the nevus were marked for simulated suturing. If the marked points aligned horizontally, direct suturing was applied. After 3 months of postoperative follow-up, the therapeutic effect was evaluated based on eyelid function (classified as excellent, good and poor), cosmetic effects (classified as excellent, good and poor) and patient satisfaction (classified as very satisfactory, satisfactory and dissatisfactory). At the same time, the effect of different wound length (<1 cm, 1-2 cm, >2 cm) on the therapeutic effect was also analyzed. SPSS 27.0 software was used for statistical analysis of the data. The counting data were represented by examples and percentages, and Kruskal-Wallis H test was used for comparison between groups. P<0.05 indicated that the difference was statistically significant. Results:A total of 71 patients were enrolled, including 30 males and 41 females. Aged 4 to 35 years old, with an average age of 15 years old. The lesions involved the upper eyelid in 47 cases, the lower eyelid in 14 cases, and co-involved in 10 cases. Lesion areas ranged from 0.5 cm×0.5 cm to 2.3 cm×2.0 cm. None of the lesions involved the palpebral margin and conjunctiva, and the depth did not reach the orbicularis oculi muscle. Immediately after the operation, all the patients had different degrees of eyelid deformation, and some severe patients had difficulty opening their eyes. The above symptoms were relieved within 7 days to 3 months after the operation, and eventually the eyelid movement returned to normal, leaving only mild scarring. In cases where the eyelid nevus was close to or involved the eyebrow area, eyebrow shape changed after surgery, and it gradually returned to normal after 1 month. Some patients with part of the eyebrow defect were able to improve their appearance through eyebrow tattoos, eyebrow transplatation and other methods. The eyelid function of 71 patients was excellent. The evaluation of cosmetic effect, 41 cases (58%) were excellent, and 30 cases (42%) were good. The evaluation of patient satisfaction, 56 cases (79%) were very satisfied, and 15 cases (21%) were satisfied. Statistical analysis showed that with the increase of the horizontal length of the wound, the cosmetic effect and patient satisfaction would be affected to a certain extent, but the differences were not statistically significant ( P>0.05). Conclusion:For eyelid nevus excision defects that can be closed horizontally, direct suturing method should be considered priority. This method is simple to perform, offers stable postoperative effects, and leads to high patient satisfaction.

″Boundarics in biomedicine″(or″Biomedical boundarics″)is an emerging frontier interdisciplinary subject that focuses on addressing key scientific issues related to the formation,identification,and evolution of biological boundaries within living organisms.In this field,the study of tumor boundaries is of particular importance.Imaging tumor boundaries not only helps to reveal the molecular mechanisms of tumor boundary evolution and interaction with the microenvironment,tumor invasion and metastasis,but is also crucial for clinical tumor diagnosis,treatment decision-making,efficacy monitoring and prognosis evaluation.Molecular probes,as functional substances that enhance imaging signals,play a crucial role in tumor boundary recognition.In this article,the basic concepts and research significance of boundarics in biomedicine and tumor boundarics in biomedicine were summarized firstly.Then a comprehensive review of the research progress in tumor boundary imaging molecular probes was provided,covering areas such as magnetic imaging,optical imaging,acoustic imaging,nuclear imaging,and multimodal imaging.The strategies to regulate the sensitivity,specificity,and safety of molecular probes through chemical structure modifications,conjugation with targeting ligands,and tumor microenvironment-responsive designs were emphasized.Finally,the research trends of molecular probes for tumor boundary imaging were analyzed,and the challenges faced in this field and the future research directions were discussed.

Mineral oil contaminants composed of saturated hydrocarbons(MOSH)and aromatic hydrocarbons(MOAH)are commonly found in edible oils and related processed foods.Currently,the analysis of mineral oils primarily employs the liquid chromatography-gas chromatography-flame ionization detector(LC-GC-FID)method.Liquid chromatography is used to purify and separate MOSH and MOAH from interfering substances,and the interface technology transfers MOSH or MOAH into different GC channels for quantitative analysis.The MOSH and MOAH chromatograms typically exhibit an irregular hump shape,with sharp peaks above the hump representing natural hydrocarbon interferences,which usually do not affect the identification of the hump profile.However,when the purification of interferences is incomplete,they can form one or more gaps above the hump,interfering with the accurate judgment and delineation of the hump profile,and leading to poor reproducibility of analysis results of mineral oil.In this study,an algorithm that mimicked the manual drawing of the hump shape or contour was proposed for automatically determining the mineral oil hump contour(i.e.,the lower envelope line).The algorithm used a multiple second-order difference quotient filtering method to identify and remove the gaps above the hump.The method involved first searching and determining the lowest value of the mineral oil hump,which was the valley point sequence,and then applying second-order difference quotient filtering to the valley point sequence.Compared to the hump,the second-order difference quotient of sharp peaks was a significantly larger negative value.By filtering out the points in the valley point sequence with larger negative second-order difference quotients(or multiple second-order difference quotients),the sharp peaks above the hump were removed.To verify the accuracy of the algorithm,42 different types of samples,including edible oils and milk powders were analyzed,using both the automatic algorithm and manual methods.The results showed that there were no significant differences in the detected mineral oil contents between these two methods.