Objective: To explore the relationship between social jetlag and depressive symptoms in junior high school students, as well as the potential gender differences, so as to provide a reference for developing effective interventions for depressive symptoms and promoting adolescents mental health. Methods: In October 2024, a total of 3 516 students from grades 7 to 9 were recruited from 4 junior high schools in Chongqing Municipality using a combination of cluster sampling and convenience sampling. A questionnaire survey was conducted using the Center for Epidemiologic Studies Depression Scale (CES-D) and the Munich Chronotype Questionnaire (MCTQ). Statistical analyses included the χ 2 test, binary Logistic regression analysis, and stratified Logistic regression analysis. Results: The detection rate of depressive symptoms among the junior high school students was 34.3%. The number of students with social jetlag >2 h was 714 (20.3%), >1-2 h was 1 455(41.4%), and ≤1 h was 1 347(38.3%). Results from the binary Logistic regression analysis showed that compared to the group with social jetlag ≤1 h, the risk of depressive symptoms in the group with social jetlag >2 h was higher ( OR=1.59, 95%CI=1.28-1.98, P <0.01). Gender stratified analysis revealed that among females, the risk of depressive symptoms was higher in the groups with social jetlag of >1-2 h and >2 h compared to the ≤1 h group ( OR = 1.34 and 2.05, 95% CI =1.03-1.75 and 1.48-2.83, both P <0.05). However, among males, the associations were not statistically significant ( OR =1.11 and 1.29, 95% CI =0.86-1.43 and 0.95-1.77, both P >0.05). Conclusions Social jetlag is positively associated with depressive symptoms in junior high school students, demonstrating a threshold effect and gender differences. The findings suggest that reducing social jetlag may decrease the risk of depressive symptoms in adolescents, and targeted intervention measures should be developed considering different gender characteristics.

Objective:To explore the relationship between serum osteopontin (OPN), annexin A2 (ANXA2) and recurrence after partial laryngectomy in patients with early-stage glottic laryngeal cancer (EGC).Methods:A retrospective study was conducted by collecting clinical data from EGC patients who underwent partial laryngectomy at Beijing Shijitan Hospital from June 2020 to May 2022. Serum levels of OPN and ANXA2 were measured at the time of admission. Clinical data during the perioperative period were also collected. The recurrence within 2 years after surgery was used as the endpoint event. Patients were divided into a recurrence group and a non-recurrence group based on the occurrence of recurrence. The data were compared between the groups, and Cox regression was used to analyze the correlation between recurrence after partial laryngectomy and key factors. Receiver operating characteristic (ROC) curve and decision curve were used to evaluate the predictive value of serum OPN and ANXA2 for recurrence within 2 years after surgery.Results:Among 167 EGC patients, 42 patients experienced recurrence within 2 years after surgery (recurrence group), with a median recurrence time of 16.00 (13.75, 19.25) months, and a recurrence rate of 25.15%; 125 patients did experience recurrence within 2 years after surgery (non-recurrence group). Compared to the non-recurrence group, the proportions of poorly differentiated tumors and anterior commissure invasion in the recurrence group were higher, the serum levels of OPN, ANXA2 and testosterone were higher: 52.38% (22/42) vs. 20.80% (26/125), 52.38% (22/42) vs. 20.00% (25/125), (24.26 ± 4.64) μg/L vs. (18.83 ± 4.17) μg/L, (37.62 ± 6.15) μg/L vs. (31.24 ± 5.56) μg/L, (27.26 ± 5.31) nmol/L vs. (22.85 ± 4.62) nmol/L, with significant differences ( P<0.05). Cox regression analysis result showed that recurrence after partial laryngectomy in EGC patients was potentially related to tumor differentiation, anterior commissure invasion, and abnormal serum expression of OPN, ANXA2 and testosterone ( P<0.05). ROC curve analysis revealed that serum OPN and ANXA2 had an area under the curve of 0.80 and 0.79, respectively, showing predictive value, with optimal cutoff values of 21.40 and 34.72 μg/L. Decision curve analysis indicated that serum OPN and ANXA2 had predictive significance for recurrence after partial laryngectomy in EGC patients, and the combined use of pathological grade, anterior commissure invasion, and testosterone improved the net benefit. Conclusions:Recurrence after partial laryngectomy in EGC patients may be associated with elevated serum OPN and ANXA2 levels, which could increase the risk of postoperative recurrence. Early detection of serum OPN and ANXA2 could be valuable for predicting recurrence after surgery in EGC patients.

Objective:To construct an indicator system for a nursing science and technology innovation curriculum guided by innovation competence, in order to provide a reference for cultivating innovation ability in nursing students.Methods:The overall research period was from March to December 2024. A nursing innovation curriculum indicator framework was initially developed through literature analysis and brainstorming. From October to December 2024, 19 experts from nine hospitals or universities across five provinces and cities were selected via purposive sampling to participate in two rounds of Delphi consultation. Revisions were made based on expert feedback.Results:Both rounds of expert consultation achieved a 100% response rate. The authority coefficient of the experts was 0.92. The final indicator system included four curriculum elements: course content, course objectives, teaching methods, and assessment, encompassing 14 first-level indicators and 40 second-level indicators.Conclusions:The innovation-oriented indicator system for nursing science and technology education demonstrates good scientific validity and reliability. It offers a foundational framework for advancing innovation-focused nursing education and curriculum design.

Purpose To evaluate the value of preoperative MRI-based radiomic models for assessing tumor-infiltrating CD8+T-cell expression in glioblastoma patients,and to identify the most stable and efficient radiomic feature region for predicting prognosis following immunotherapy.Materials and Methods This retrospective study included 150 patients with histopathologically confirmed glioblastoma from Lanzhou University Second Hospital(January 2018 to April 2022).Tumor-infiltrating CD8+T-cell expression was quantitatively assessed using immunohistochemical staining,with patients stratified into CD8-high and CD8-low expression groups based on overall survival.A total of 1 185 radiomic features were extracted from each patient's contrast-enhanced T1C and T2WI images,covering the original tumor region and sequentially expanded peritumoral regions(2.5 mm,5.0 mm,7.5 mm,10.0 mm,12.5 mm,15.0 mm morphological dilation of tumor core+peritumoral area).Feature selection was performed using variance threshold,minimum redundancy maximum relevance,and least absolute shrinkage and selection operator methods.XGBoost classifier was employed to construct clinical,radiomic,and clinical-radiomic multimodal combined prediction models.Diagnostic performance was evaluated using receiver operating characteristic curve analysis.Results The radiomic model based on tumor expansion of 7.5 mm(tumor+peritumoral region)demonstrated optimal predictive performance.The clinical-radiomic multimodal combined model showed superior predictive capability compared to clinical and radiomic models alone,achieving an area under the curve of 0.991 and accuracy of 99.0%in the training set,and area under the curve of 0.840 with accuracy of 80.0%in the validation set.Conclusion MRI radiomics provides a feasible approach for evaluating tumor-infiltrating CD8+T-cell expression in glioblastoma patients,offering potential for preoperative prognosis prediction.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P＞0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.

Objective To develop and validate a fast Monte Carlo(MC)-based patient-specific quality assurance(PSQA)tool using the treatment log files that is suitable to be used in the online adaptive radiotherapy for pencil beam scanning proton therapy(PBSPT-ART).Methods The proposed tool first used the delivery log file of a PBSPT plan to reversely reconstruct the PBSPT(rPBSPT)plan,and then used an in-house developed graphic processing unit(GPU)-accelerated virtual particle MC(VPMC)dose engine to calculate the dose distribution of the rPBSPT plan.The rPBSPT dose calculated by VPMC was then compared to the rPBSPT dose calculated by another independent MC dose engine(MCsquare),using 3D gamma analysis to verify the accuracy of VPMC calculation.As a demonstration of the feasibility of developed log file-based PSQA,the VPMC calculated dose of the rPBSPT plan was compared to the pre-delivery second check dose of the corresponding PBSPT plan calculated by MCsquare,using 3D gamma analysis.3D gamma analysis employes a criterion of 2 mm/2%/10%.Twenty patients with different disease sites were representatively selected to validate the efficiency and accuracy of the tool.Results The average calculation time of a rPBSPT plan by VPMC was(5.88±4.00)s in the accuracy verification.Compared to MCsquare,the passing rate of the 3D gamma analysis was 99.47%±0.72%.In the proposed PSQA tool demonstration,the passing rate of comparing the VPMC calculated rPBSPT dose to MCsquare calculated second check dose of the corresponding PBSPT plan was 98.91%±0.92%.Conclusion The accuracy and efficiency of the tool can meet the requirements of PSQA in the online PBSPT-ART workflow.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

The principle and composition of Philips Ingenia Series MRI scanners were introduced.Three common faults of Philips Ingenia Series MRI scanners were analyzed in terms of the phenomenon,cause and elimination measure.References were provided for clinical engineers to treat similar faults.[Chinese Medical Equipment Journal,2025,46(6):116-120]