Objective: To understand the impact of childhood trauma on psychological distress among upper grade elemetary school students, and to explore the mediating role of leisure activities in the relationship, so as to provide a basis for developing mental health intervention strategies. Methods: From August to November 2024, a combination of convenience sampling and stratified cluster random sampling was employed to recruit 1 373 fourth to sixth grade students from four primary schools in Harbin. The Childhood Trauma Questionnaire(CTQ), a self designed leisure activity scale (including active and passive leisure activities), and the Kessler Psychological Distress Scale (K10) were used to assess childhood trauma experiences, leisure activities, and levels of psychological distress. Spearman correlation analysis and linear regression analysis were conducted to explore the relationships among childhood trauma, leisure types, leisure time, and psychological distress. Based on the mediation analysis framework proposed by Hayes (Model 4), the mediating role of leisure types in the relationship between childhood trauma and psychological distress was examined. Results: Totally 19.1% of the upper elemetary school students exhibited psychological distress, while 30.2% had experienced childhood trauma. During school days, 64.6% of the students were reported of having leisure time concentrated between 1 and 5 hours per day, whereas 67.4% reported leisure time exceeding 5 hours per day on weekends. After controlling for potential demographic confounders such as gender, grade, ethnicity, household registration, being an only child, parents educational level, co residence, and whether parents are first time married,linear regression analysis showed that childhood trauma experience had positive predictive effect on psychological distress in upper primary school students( β =0.20, P <0.01). Leisure time showed no statistically significant association with psychological distress, both on school days ( β =-0.58 to -0.56) and weekends ( β =0.26- 0.98 )(all P >0.05). Active leisure activities were negatively associated with psychological distress ( β =-0.20), while passive leisure activities were positively associated with psychological distress ( β =0.29)(both P <0.01). Leisure type partially mediated the relationship between childhood trauma and psychological distress, accounting for 11.7% of the indirect effect. Conclusion Childhood trauma experiences positively predict psychological distress in upper elementary school students, and affect psychological distress through active leisure and passive leisure.

The medicinal use of Malvae Semen has a long history. In this paper， by consulting the ancient materia medica， prescription， agronomy， literature and other aspects of the classics， the name， origin， evolution of scientific name， quality， harvesting and processing， functions and indications and others of Malvae Semen were systematically sorted out and verified， so as to provide a basis for the development and utilization of famous classical formulas containing this herb. According to the textual research， Shennong Bencaojing began to use Dongkuizi as the correct name， which was used in the past dynasties， and there were also aliases such as Kuicaizi， Huacai， and Kuizi. Through the original research， it can be seen that Kuicai is the mainstream original plant of Malvae Semen， that is， Malva verticillata var. crispa， the Alcea rosea and M. cathayensis are also used. In modern times， the seeds of Abutilon theophrasti have been passed off as Malvae Semen， while the seeds of M. verticillata var. crispa have rarely been used in medicine. And Abutili Semen has been another medicinal material with different efficacy since the collection of Newly Revised Materia Medica in the Tang dynasty. Since the Ming and Qing dynasties， the cultivation of Kuicai has been decreasing， while A. theophrasti is more common and easy to obtain， and Abutili Semen and Malvae Semen are similar in morphology and confused， which should be corrected. In addition， Malvae Fructus is a Mongolian customary medicinal herb， which is different from the traditional use of seeds in traditional Chinese medicine. Kuicai， as an important vegetable in history， was widely cultivated and gradually shrunk after the Song dynasty， it is now mainly produced in southern provinces. The quality evaluation of Malvae Semen is better for those with dry bodies， full grain， grayish brown color， no mud， and no impurities. The harvesting is generally in the autumn and winter. After drying， it is seeded， sieved peel and impurities， mashed， or slightly stir-fried to yellow-white color with gentle fire. It is sweet， cold and slippery in nature and taste， with the main effects of laxation， diuresis， lactation and elimination of swelling. The efficacy of Abutili Semen is clearing heat and removing toxicity， promoting diuresis and removing nebula， the efficacy is quite different from that of Malvae Semen. Based on the results of textual research， it is suggested that M. verticillata var. crispa should be used as the medicinal source of Malvae Semen in the development of famous classical formulas， the corresponding processing methods should be selected according to the requirements of drug processing in the formulas， while the raw products are recommended to be used if the processing is not specified.

The medicinal use of Malvae Semen has a long history. In this paper， by consulting the ancient materia medica， prescription， agronomy， literature and other aspects of the classics， the name， origin， evolution of scientific name， quality， harvesting and processing， functions and indications and others of Malvae Semen were systematically sorted out and verified， so as to provide a basis for the development and utilization of famous classical formulas containing this herb. According to the textual research， Shennong Bencaojing began to use Dongkuizi as the correct name， which was used in the past dynasties， and there were also aliases such as Kuicaizi， Huacai， and Kuizi. Through the original research， it can be seen that Kuicai is the mainstream original plant of Malvae Semen， that is， Malva verticillata var. crispa， the Alcea rosea and M. cathayensis are also used. In modern times， the seeds of Abutilon theophrasti have been passed off as Malvae Semen， while the seeds of M. verticillata var. crispa have rarely been used in medicine. And Abutili Semen has been another medicinal material with different efficacy since the collection of Newly Revised Materia Medica in the Tang dynasty. Since the Ming and Qing dynasties， the cultivation of Kuicai has been decreasing， while A. theophrasti is more common and easy to obtain， and Abutili Semen and Malvae Semen are similar in morphology and confused， which should be corrected. In addition， Malvae Fructus is a Mongolian customary medicinal herb， which is different from the traditional use of seeds in traditional Chinese medicine. Kuicai， as an important vegetable in history， was widely cultivated and gradually shrunk after the Song dynasty， it is now mainly produced in southern provinces. The quality evaluation of Malvae Semen is better for those with dry bodies， full grain， grayish brown color， no mud， and no impurities. The harvesting is generally in the autumn and winter. After drying， it is seeded， sieved peel and impurities， mashed， or slightly stir-fried to yellow-white color with gentle fire. It is sweet， cold and slippery in nature and taste， with the main effects of laxation， diuresis， lactation and elimination of swelling. The efficacy of Abutili Semen is clearing heat and removing toxicity， promoting diuresis and removing nebula， the efficacy is quite different from that of Malvae Semen. Based on the results of textual research， it is suggested that M. verticillata var. crispa should be used as the medicinal source of Malvae Semen in the development of famous classical formulas， the corresponding processing methods should be selected according to the requirements of drug processing in the formulas， while the raw products are recommended to be used if the processing is not specified.

Objective: To explore the impact of sleep quality, experience of childhood maltreatment, and their interaction on depressive symptoms among middle school students, so as to provide the reference for early intervention of depressive symptoms among middle school students. Methods: From September to December 2023, a questionnaire survey was conducted among 1 231 students from two secondary schools in Harbin, Heilongjiang Province by a convenient sampling method. The survey included general demographic information, Childhood Trauma Questionnaire Short Form, Pittsburgh Sleep Quality Index and Short Version of Center for Epidemiological Studies Depression Scale. The Chi square test was used to analyze the differences in depressive symptom, sleep quality and childhood maltreatment among students with different demographic characteristics. Correlation analysis was conducted using Logistic regression, and interaction analysis was performed by both additive and multiplicative interaction models. Results: The detection rate of depressive symptoms among middle school students was 22.7%, and the rate for high school students (35.2%) was significantly higher than that for middle school students (17.0%) ( χ 2=50.35, P <0.01). The detection rates of depressive symptoms among middle school students with a history of childhood maltreatment and poor sleep quality were 45.8% and 44.0%, respectively. Multivariate Logistic regression analysis showed that compared to students without a history of childhood maltreatment, students with a history of childhood maltreatment had a higher risk of depressive symptoms ( OR =4.49，95% CI =3.31~ 6.09 , P <0.01);students with poor sleep quality had a higher risk of depressive symptoms than students with good sleep quality ( OR = 5.99，95% CI =4.37~8.22, P <0.01).The interaction results showed that the presence of childhood maltreatment and poor sleep quality had an additive interaction on the occurrence of depression in middle school students. Compared with students without childhood maltreatment and having good sleep quality, students with childhood maltreatment and poor sleep quality had a 22.49 times higher risk of developing depression ( OR =22.49，95% CI =14.22~35.59, P <0.01). Conclusion Depressive symptoms among middle school students are associated with childhood maltreatment and poor sleep quality, and there is an additive interaction between childhood maltreatment and poor sleep quality on the impact of depressive symptoms.

Molecular medicine, which delves into the intricacies of biomolecular structure, function, and role, is pivotal for advancing precise diagnostics and personalized treatment. Nucleic acids, a class of star functional molecules, are notable for their versatile applications in molecular diagnostics, gene therapy, and drug development. Therefore, in this study, we review the extensive use of nucleic acid aptamers in medicinal practice. Furthermore, the expanding field of molecular medicine has catalyzed advancements in traditional Chinese medicine (TCM), as evidenced by scientific endeavors to integrate modern technologies. Therefore, TCM has experienced rapid modernization by leveraging artificial intelligence, nucleic acid molecular medicine, and bioelectronic medicine.

Head and neck squamous cell carcinoma (HNSCC) is a tumor characterized by immunosuppressive tumor microenvironment (TME) and poor prognosis. Its complex immune evasion mechanisms are primarily related to T cell dysfunction and the suppression of anti-tumor immune responses. Immunotherapy aims to modulate the patient’s immune system to recognize and eliminate tumor cells, thereby achieving therapeutic goals. Studies have demonstrated that the TME plays a pivotal role in HNSCC pathogenesis, facilitating tumorigenesis, progression, and therapy resistance, ultimately contributing to adverse clinical outcomes. Advances in technology have deepened understanding of the TME, paving the way for novel therapeutic interventions in HNSCC. This review comprehensively summarizes the efficacy and safety of TME-targeted immunotherapies, integrating evidence from published clinical trials, while proposing insights for future research to develop more effective therapeutic strategies.

Objective To evaluate the impact of the eastern healthy diet pattern (EHDP) on body weight, blood pressure, blood lipids, and glucose in type 2 diabetes mellitus (T2MD) patients and compare it with the effect of traditional diabetes diet (TDD). Methods A total of 140 inpatients with T2DM admitted to Chenzhou First People's Hospital from May 2022 to December 2022 were selected and randomly assigned to EHDP (n = 70) group or TDD group (n = 70). Both groups were served with three meals a day by the dietitian department of the hospital for 8 weeks. The TDD group followed the guidelines of the Chinese diabetes society, while the EHDP group optimized diversified food intake and increased aquatic products, olive oil, and dairy products. Results There was no statistically significant difference between the two groups of patients in baseline data including age, gender, blood pressure, blood glucose, and hypoglycemic and lipid-lowering treatment between the two groups (P value 0.238~0.795). After 8 weeks of dietary intervention, compared with before the intervention, the body weight, fasting blood glucose, 2-hour postprandial blood glucose, glycosylated hemoglobin, blood lipids and blood pressure of both groups showed statistically significant decreases (P<0.05). The reductions in weight, BMI, blood lipids, blood pressure and fasting blood glucose in the EHDP group were greater than those in the TDD group (P<0.05). Conclusion EHDP is better than the traditional diabetic diet in reducing blood glucose, weight, blood pressure, and blood lipids compared to traditional diets. Both diet patterns effectively improve 2h PG and HbA1c with no significant difference.

Objective: To investigate the changes of microorganisms and metabolites in joint effusion of patients with Rheumatoid arthritis(RA), Osteoarthritis(OA) and Urarthritis(UA). To provide new ideas for the study of the effect of microbiota on the pathogenesis of arthritis. Methods: Joint effusion samples were collected from 20 patients with RA, 20 patients with OA, and 20 patients with UA. 16S rRNA gene sequencing and untargeted ultra-high performance Liquid chromatography-mass spectrometry(LC-MS) were used to explore the differences in microorganisms and metabolites among the three groups. Pearson correlation analysis was used to detect the correlation between effusion microbiota and metabolites. Results: There were differences in microbial diversity and microbiota composition among the three groups. Combined with VIP>1 from OPLS-DA andP<0.05 from two-tailed Students t-test, 45 differential metabolites(Between RA and OA groups), 38 differential metabolites(Between UA and OA groups) and 16 differential metabolites(Between RA and UA groups), were identified. GO analysis and KEGG pathway analysis showed that the differential metabolic pathways among the three groups were mainly concentrated in citric acid cycle(TCA cycle), nucleotide metabolism, amino acid metabolism and glycolysis pathway. Correlation analysis of joint effusion microbiota and metabolites suggested that bacteria enriched in the three groups of joint effusion, such asPrevotella,Clostridium ruminosus,Prevotellaceae＿UCG-001, were related to many key metabolites such as lysozyme, uric acid, glucose, and L-glutamine. Conclusion This study shows that there are a variety of bacterial flora in joint cavity effusion of RA, OA, and UA patients, and the differential metabolites produced by them are involved in the pathogenesis of the three types of arthritis by affecting a variety of metabolic pathways.

BACKGROUND:Traditional 3D dental segmentation methods usually utilize predefined spatial geometric features,such as curvature and normal vectors,as the reference information for tooth segmentation. OBJECTIVE:To propose an algorithm for complex 3D dental segmentation and deeply explore the correlation between segmentation results and application scenarios. METHODS:A 3D dental segmentation algorithm based on dual stream extraction of structural features and spatial features was established,and the modular design of split flow was used to avoid feature confusion.Among them,the attention mechanism on the structural feature flow was used to capture the fine-grained semantic information required for tooth segmentation,and the Tran Net based on the spatial feature flow was used to ensure the robustness of the model to complex tooth and jaw segmentation.This algorithm verified its effectiveness and reliability based on clinical datasets including healthy dental jaws and complex dental jaws such as missing teeth,malocclusion and dentition crowding.The segmentation performance of the model was measured in terms of overall accuracy,mean intersection over union,and directional cut discrepancy. RESULTS AND CONCLUSION:The overall segmentation accuracy of this algorithm in the clinical data set is 97.08%,and the segmentation effect is superior to that of other competitive methods from the qualitative and quantitative perspectives.It is verified that the structural feature flow designed in this paper can extract more precise local details of tooth shape from coordinate and normal information by constructing an attention aggregation mechanism,and the spatial feature flow designed in this paper can ensure the robustness of the model to complex teeth such as missing teeth,dislocated teeth,and crowded dentition by constructing a transformation network(Tran Net).Therefore,this tooth segmentation algorithm is highly reliable for clinicians'practical reference.

BACKGROUND:Mechanical factors can affect the angiogenic ability of vascular endothelial cells.How the vessel number affects the hydrodynamic properties of microvessels remains to be clarified. OBJECTIVE:To investigate the influence of vessel number on the hydrodynamics of vascular networks based on computational fluid dynamics. METHODS:Three three-dimensional models of vascular network with different vessel numbers were constructed using the Geometry module of ANSYS 19.0 software,and then the vascular network was meshed to tetrahedral elements in Mesh module.The vascular network was assumed to rigid wall without slip,and the blood was assumed to laminar,viscous,and incompressible Newtonian fluid.Blood density,velocity,and a series of blood viscosity coefficients were also established.The Navier-Stokes equation was used for calculation.Hydrodynamic properties of different parts of vascular network with different vessel numbers were analyzed and compared. RESULTS AND CONCLUSION:The streamline,velocity,and mass flow all had the same trend in the vascular network,that is,the outlet and inlet were higher and the middle junction of vascular network was lower.The more the number of vessels,the thinner the blood flow lines in each part of the vascular network.Also,the velocity,mass flow,and wall shear decreased with the increase of the number of blood vessels.Therefore,the changes in vessel number could influence the hydrodynamic environment in the vascular network.Computational fluid dynamics indicates that the changes in vessel numbers can influence the hydrodynamic properties of blood,and provides a new idea for treating bone hypoperfusion-induced diseases(fracture nonunion,bone defect,osteoporosis,etc.)through tonifying kidney and activating blood circulation based on the coupling between angiogenesis and osteogenesis.