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.

Objective By using the computational fluid mechanic(CFD)method the tandem carotid artery stenosis(TCAS)was simulated on the model,and to compare the postoperative hemodynamic changes of different surgical procedures.Methods One patient with tandem stenosis of internal carotid artery(ICA)and common carotid artery(CCA)was selected.CFD technique was used to establish four three-dimensional(3-D)models of the carotid bifurcations,including one model of a real patient and three models of presumptive surgery.The hemodynamic analysis was performed with these models so as to explore the development mechanism of TCAS and to discuss the selection of suitable surgical plan.Results In tandem stenosis,the stenosis was preferentially formed in CCA and subsequently led to ICA stenosis.The local hemodynamic situation in TCAS was more complex and more risky than in single carotid artery stenosis.In tandem stenosis,the treatment of one stenosis site would affect the blood flow at the next stenosis site and cause restenosis or plaque rupture.Conclusion In treating patients with TCAS,CFD simulation examination should be performed when the surgical plan is formulated,which can help clinicians to predict the postoperative changes in blood flow and to choose the appropriate surgical plan.

Objective: To investigate the function and potential mechanism of hepatocellular carcinoma(HCC) cells-derived extracellular nicotinamide phosphoribosyl transferase(eNAMPT) in the angiogenesis of human umbilical vein endothelial cells(HUVEC). Methods: The eNAMPT secretion of HCC cells were stimulated by hypoxia treatment and investigated the angiogenesis of HUVEC was investigated by tube formation assays. Transcriptomic RNA sequencing(RNA-seq) analyses of HUVEC under eNAMPT treatment were used to explore the mechanism of the effect of eNAMPT-insulin receptor(INSR) axis on angiogenesis. Western blot was used to detect the effects of eNAMPT-INSR axis on protein expression of HUVEC cells. qRT-PCR was used to detect the influence of eNAMPT-INSR axis on the expression of HUVEC intracellular related target genes. Results: ELISA and Western blot results showed that the protein level of eNAMPT in the culture supernatant of HCC cells increased significantly after hypoxia stimulation.In vitroangiogenesis assay results showed that eNAMPT significantly increased the nodules number and total length of tubes in HUVEC. The transcriptome sequencing results of HUVEC showed that eNAMPT, as an insulin analogue, participated in the regulation of biological processes such as cell migration and angiogenesis in HUVEC, and might promote angiogenesis by activating insulin-like signaling pathways. Western blot results showed that the eNAMPT-INSR axis affected p-AKT and p-ERK1/2 protein levels in PI3K-AKT and MAPK-ERK1/2 signaling pathways in HUVEC. qRT-PCR results showed that the eNAMPT-INSR axis affected the expression of angiogenesis related target genes MMP2, MMP9 and VEGF in HUVEC. Conclusion eNAMPT secreted by HCC cells promotes angiogenesis by binding INSR to activate the PI3K-AKT and MAPK-ERK1/2 signaling pathways.

Objective: To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine (TCM) pulse conditions through voice signals. Methods: We used multi-label pulse conditions as the entry point and modeled and analyzed TCM pulse diagnosis by combining voice analysis and machine learning. Audio features were extracted from voice recordings in the TCM pulse condition dataset. The obtained features were combined with information from tongue and facial diagnoses. A multi-label pulse condition voice classification DNN model was built using 10-fold cross-validation, and the modeling methods were validated using publicly available datasets. Results: The analysis showed that the proposed method achieved an accuracy of 92.59% on the public dataset. The accuracies of the three single-label pulse manifestation models in the test set were 94.27%, 96.35%, and 95.39%. The absolute accuracy of the multi-label model was 92.74%. Conclusion Voice data analysis may serve as a remote adjunct to the TCM diagnostic method for pulse condition assessment.

Objective Developing a new type of full-face respiratory protective mask for nuclear facility sites to enhance the sound transmission function and improve the facial adaptability. Methods Combined with feedback from on-site practical needs, this study utilized finite element simulation and ergonomic design methods to investigate the voice transmission units of full-face masks and the facial features of workers at key nuclear facilities. Based on the research results, a new full-face respiratory protection mask structure was designed. Results The optimized structure of passive thin film voice transmission unit significantly enhanced voice transmission efficiency, reducing average voice transmission loss by approximately 70% compared to the control group using thin plate units of equivalent thickness. The existing facial feature test panels insufficiently cover and unevenly classify the facial features of workers at key nuclear facilities. In this study, a specialized test panel based on measurement data achieved a total coverage of 98.5% with high distribution uniformity within each class, providing effective guidance for redesigning full-face mask structural parameters. In comparison to foreign products currently utilized in nuclear facilities, the newly designed full-face mask structure exhibited excellent tightness and structural safety and reliability, and can be cleaned, decontaminated, and reused. Conclusion The results of this study provide significant guidance for improving and optimizing full-face respiratory protection mask used at nuclear facilities, as well as promoting domestic production of high-quality full-face respiratory protection masks.

In recent years, the application of minimal residual disease (MRD) in solid tumors has gained widespread attention. MRD typically refers to the presence of residual cancer cells that remain undetectable by imaging after curative treatments, such as surgical resection. The presence of MRD post-surgery is significantly associated with an increased risk of tumor recurrence. In colorectal cancer, circulating tumor DNA (ctDNA) serves as an effective marker for assessing MRD, particularly in non-metastatic (stages I-III) colorectal cancer. As a real-time, accurate, and convenient biomarker, ctDNA can effectively predict tumor recurrence, guide postoperative adjuvant chemotherapy decisions, and provide crucial information for recurrence monitoring. The application prospects of ctDNA detection technology are vast, promising more precise and individualized treatment plans for colorectal cancer patients. This article comprehensively analyzes the progress in the application of ctDNA for detecting MRD in non-metastatic colorectal cancer patients, elaborates on its guiding role in clinical treatment decisions, and envisions the future development directions in this field.

In recent years, the application of minimal residual disease (MRD) in solid tumors has gained widespread attention. MRD typically refers to the presence of residual cancer cells that remain undetectable by imaging after curative treatments, such as surgical resection. The presence of MRD post-surgery is significantly associated with an increased risk of tumor recurrence. In colorectal cancer, circulating tumor DNA (ctDNA) serves as an effective marker for assessing MRD, particularly in non-metastatic (stages I-III) colorectal cancer. As a real-time, accurate, and convenient biomarker, ctDNA can effectively predict tumor recurrence, guide postoperative adjuvant chemotherapy decisions, and provide crucial information for recurrence monitoring. The application prospects of ctDNA detection technology are vast, promising more precise and individualized treatment plans for colorectal cancer patients. This article comprehensively analyzes the progress in the application of ctDNA for detecting MRD in non-metastatic colorectal cancer patients, elaborates on its guiding role in clinical treatment decisions, and envisions the future development directions in this field.

Objectives: This study aimed to explore the influence of depression severity, disease course, treatment status, and other factors on cognitive function in adolescents with depressive disorders. Methods: Participants who met the inclusion criteria were enrolled in the study. Sociodemographic data of each participant were recorded, including age, sex, and family history of mental disorders. Zung’s Self-Rating Depression Scale was used to assess depression status in adolescents. Moreover, P300 and mismatch negativity (MMN) were used to objectively evaluate the participants’ cognitive function. Results: Only 26.8% of the adolescents with depression received standard antidepressant treatment. The latencies of N2 (267.80±23.34 ms), P3 (357.71±32.09 ms), and MMN (212.10±15.61 ms) in the adolescent depression group were longer than those in the healthy control group (p<0.01). Further analysis revealed that the latency of MMN was extended with increased levels of depression in adolescents.The MMN latency was short in participants with depression receiving standardized treatment. Furthermore, the latency of MMN was positively correlated with the severity and duration of depression (correlation coefficients were 0.465 and 0.479, respectively) (p<0.01). Conclusion Receiving standardized treatment and shortening the course of depression can reduce cognitive impairment in adolescents with depression.

Objective:To investigate the efficacy and related influencing factors of autologous hematopoietic stem cell transplantation(auto-HSCT)as first-line consolidation therapy for newly diagnosed elderly patients with diffuse large B cell lymphoma(DLBCL).Methods:Retrospective study of clinical characteristics, therapeutic effect, and prognostic factors of newly diagnosed DLBCL elderly patients with an International Prognostic Index(IPI)score≥3 who underwent auto-HSCT in the Affiliated People's Hospital of Ningbo University from January 2015 to August 2020.Results:Among the 31 patients, 18 were males and 13 were females, with a median age of 65(60-75)years.The 13 cases(41.9%)were involved in 2 sites outside lymph nodes, and 13 cases(41.9%)were involved in bone marrow.IPI medium and high risk(IPI=3 points)was found in 21 cases(67.7%), high risk(≥4 points)in 10 cases(32.2%). Before transplantation, 21(67.7%)patients achieved complete remission(CR), and the other 10(32.3%)patients were in the partial remission(PR). All patients after transplantation achieved hematopoietic reconstitution.The median time for neutrophil and platelet engraftment were 10(9-16)days and 12(8-58)days respectively.During a median follow-up of 20.9(3.1 to 73.0)months after transplantation, transplant-related mortality within 100 days was 3.2%(1/31). The 2-year overall survival(OS)and progression-free survival(PFS)were(77.2±8.4)% and(72.7±8.3)%, respectively.Multivariate Cox analysis showed that the achieved partial remission status before auto-hematopoietic stem cell transplantation[OS( HR=30.064, 95% CI: 2.231-405.209, P=0.010), PFS( HR=9.165, 95% CI: 1.926-43.606, P=0.005)], and CD34 + cell count in graft <3×10 6/kg[OS( HR=12.004, 95% CI: 1.234-116.807, P=0.032), PFS( HR=6.115, 95% CI: 1.325-28.221, P=0.020)]were the independent poor prognostic factor affecting both OS and PFS in elderly lymphoma patients. Conclusions:Auto-HSCT may improve the survival rate of carefully selected elderly patients with DLBCL.Pretransplant disease status and the number of CD34 + cells in the graft are important factors to predict the efficiency of auto-HSCT of the patients.

Objective:Based on Web of Science database, this study aimed to explore the current status, research hotspots and development trends of countries regarding clinical management of osteoporotic fractures using bibliometrics and visualized analysis.Methods:We collected literatures in the field of clinical management of osteoporotic fractures included in Web of Science database, and applied bibliometrics to analyze the publication dates, countries, institutions, journals, authors, highly cited literatures and research hotspots. Visualization was drawn by VOSviewer software.Results:Analysis of the 2 508 articles revealed 3 types of data. (1) The analysis of basic information of the literature showed that: ①The country with the largest number of publications was the United States, which published 672 articles, followed by the United Kingdom and Canada, and China ranked fourth; ②The top three authors in the number of publications were Kanis JA, Cooper C and McCloskey EV respectively; ③The institution with the highest number of publications was the University of Sheffield, UK, followed by the University of Southampton, UK and the University of Toronto, Canada. (2) Network visualization of highly cited literatures showed that 118 highly cited literatures were mainly divided into 5 clusters, which were related to osteoporotic fracture diagnosis, treatment, medication adherence, management consensus and strategies of preventing refracture. (3) Temporal overlay visualization of research hotspots showed that early research mainly focused on traditional therapeutic drugs, and current research hotspots were mainly molecular targeted drugs, trabecular bone score and fracture liaison services.Conclusion:This study shows that the research activity of clinical management of osteoporotic fractures is increasing worldwide, and there is still a huge gap between China and Europe or the United States. Current research hotspots and development trends mainly focus on molecular targeted drugs, osteoporotic fracture treatment concepts, emerging fracture risk assessment tools, and fracture prevention and management models.