Objective: There were associations between emotional abuse and neglect (EAN) and depression, but few studies had tested potential mechanisms underlying these relationships. We aimed to provide insights on how (the mediation role of neuroticism), and under what conditions (the moderator role of psychological resilience), led to a higher level of depression. Methods: This study was a cross-sectional study that used a random cluster sampling method. We randomly selected 3,993 participants from four junior middle schools in northern city of China. Participants were asked to complete four self-reported questionnaires, including the Childhood Trauma Questionnaire, Children Depression Inventory-Short Form, Chinese Big Five Personality Inventory Brief Version, and Chinese Resilience Scale. Results: The results showed that neuroticism mediated the associations between EAN and depression. In addition, the mediating effect of neuroticism was moderated by psychological resilience (p<0.05). Conclusion EAN and neuroticism could have an adverse impact on depression, and psychological resilience could alleviate these negative effects as a moderator. Our model suggested psychological resilience could be a particularly effective intervention point for victims of EAN.

Objective: There were associations between emotional abuse and neglect (EAN) and depression, but few studies had tested potential mechanisms underlying these relationships. We aimed to provide insights on how (the mediation role of neuroticism), and under what conditions (the moderator role of psychological resilience), led to a higher level of depression. Methods: This study was a cross-sectional study that used a random cluster sampling method. We randomly selected 3,993 participants from four junior middle schools in northern city of China. Participants were asked to complete four self-reported questionnaires, including the Childhood Trauma Questionnaire, Children Depression Inventory-Short Form, Chinese Big Five Personality Inventory Brief Version, and Chinese Resilience Scale. Results: The results showed that neuroticism mediated the associations between EAN and depression. In addition, the mediating effect of neuroticism was moderated by psychological resilience (p<0.05). Conclusion EAN and neuroticism could have an adverse impact on depression, and psychological resilience could alleviate these negative effects as a moderator. Our model suggested psychological resilience could be a particularly effective intervention point for victims of EAN.

Objective: There were associations between emotional abuse and neglect (EAN) and depression, but few studies had tested potential mechanisms underlying these relationships. We aimed to provide insights on how (the mediation role of neuroticism), and under what conditions (the moderator role of psychological resilience), led to a higher level of depression. Methods: This study was a cross-sectional study that used a random cluster sampling method. We randomly selected 3,993 participants from four junior middle schools in northern city of China. Participants were asked to complete four self-reported questionnaires, including the Childhood Trauma Questionnaire, Children Depression Inventory-Short Form, Chinese Big Five Personality Inventory Brief Version, and Chinese Resilience Scale. Results: The results showed that neuroticism mediated the associations between EAN and depression. In addition, the mediating effect of neuroticism was moderated by psychological resilience (p<0.05). Conclusion EAN and neuroticism could have an adverse impact on depression, and psychological resilience could alleviate these negative effects as a moderator. Our model suggested psychological resilience could be a particularly effective intervention point for victims of EAN.

Objective: There were associations between emotional abuse and neglect (EAN) and depression, but few studies had tested potential mechanisms underlying these relationships. We aimed to provide insights on how (the mediation role of neuroticism), and under what conditions (the moderator role of psychological resilience), led to a higher level of depression. Methods: This study was a cross-sectional study that used a random cluster sampling method. We randomly selected 3,993 participants from four junior middle schools in northern city of China. Participants were asked to complete four self-reported questionnaires, including the Childhood Trauma Questionnaire, Children Depression Inventory-Short Form, Chinese Big Five Personality Inventory Brief Version, and Chinese Resilience Scale. Results: The results showed that neuroticism mediated the associations between EAN and depression. In addition, the mediating effect of neuroticism was moderated by psychological resilience (p<0.05). Conclusion EAN and neuroticism could have an adverse impact on depression, and psychological resilience could alleviate these negative effects as a moderator. Our model suggested psychological resilience could be a particularly effective intervention point for victims of EAN.

Objective: There were associations between emotional abuse and neglect (EAN) and depression, but few studies had tested potential mechanisms underlying these relationships. We aimed to provide insights on how (the mediation role of neuroticism), and under what conditions (the moderator role of psychological resilience), led to a higher level of depression. Methods: This study was a cross-sectional study that used a random cluster sampling method. We randomly selected 3,993 participants from four junior middle schools in northern city of China. Participants were asked to complete four self-reported questionnaires, including the Childhood Trauma Questionnaire, Children Depression Inventory-Short Form, Chinese Big Five Personality Inventory Brief Version, and Chinese Resilience Scale. Results: The results showed that neuroticism mediated the associations between EAN and depression. In addition, the mediating effect of neuroticism was moderated by psychological resilience (p<0.05). Conclusion EAN and neuroticism could have an adverse impact on depression, and psychological resilience could alleviate these negative effects as a moderator. Our model suggested psychological resilience could be a particularly effective intervention point for victims of EAN.

Objective To explore the clinical value of artificial intelligence (AI) quantitative parameters in distinguishing pathological grades of stageⅠ invasive adenocarcinoma (IAC). Methods Clinical data of patients with clinical stageⅠ IAC admitted to Yantaishan Hospital Affiliated to Binzhou Medical University from October 2018 to May 2023 were retrospectively analyzed. Based on the 2021 WHO pathological grading criteria for lung adenocarcinoma, IAC was divided into gradeⅠ, grade Ⅱ, and grade Ⅲ. The differences in parameters among the groups were compared, and logistic regression analysis was used to evaluate the predictive efficacy of AI quantitative parameters for grade Ⅲ IAC patients. Parameters were screened using least absolute shrinkage and selection operator (LASSO) regression analysis. Three machine learning models were constructed based on these parameters to predict grade Ⅲ IAC and were internally validated to assess their efficacy. Nomograms were used for visualization. Results A total of 261 IAC patients were included, including 101 males and 160 females, with an average age of 27-88 (61.96±9.17) years. Six patients had dual primary lesions, and different lesions from the same patient were analyzed as independent samples. There were 48 patients of gradeⅠ IAC, 89 patients of grade Ⅱ IAC, and 130 patients of grade Ⅲ IAC. There were statitical differences in the AI quantitive parameters such as consolidation/tumor ratio (CTR), ect among the three goups. (P<0.05). Univariate analysis showed that the differences in all variables except age were statistically significant (P<0.05) between the group gradeⅠ+grade Ⅱand the group grade Ⅲ . Multivariate analysis suggested that CTR and CT standard deviation were independent risk factors for identifying grade Ⅲ IAC, and the two were negatively correlated. Grade Ⅲ IAC exhibited advanced TNM staging, more pathological high-risk factors, higher lymph node metastasis rate, and higher proportion of advanced structure. CTR was positively correlated with the proportion of advanced structures in all patients. This correlation was also observed in grade Ⅲ but not in gradeⅠand grade ⅡIAC. CTR and CT median value were selected by using LASSO regression. Logistic regression, random forest, and XGBoost models were constructed and validated, among which, the XGBoost model demonstrated the best predictive performance. Conclusion Cautious consideration should be given to grade Ⅲ IAC when CTR is higher than 39.48% and CT standard deviation is less than 122.75 HU. The XGBoost model based on combined CTR and CT median value has good predictive efficacy for grade Ⅲ IAC, aiding clinicians in making personalized clinical decisions.

Objective: To investigate the coexistence of comorbidity of myopia, overweight/obesity and depressive symptoms among middle school students in Quzhou and its associated factors, so as to provide evidence for integrated prevention and control of common multiple health issues in students. Methods: From September to November 2023, a total of 5 867 middle school students from 6 counties (cities and districts) in Quzhou City were selected by stratified random cluster sampling. Physical and visual examinations were conducted, and the Center for Epidemiological Studies - Depression Scale (CES-D) along with a questionnaire on health status and influencing factors were completed. Multivariate Logistic regression was used to analyze the related factors of coexistence of myopia, overweight/obesity, and depressive symptoms among middle school students, and a nomogram model was constructed based on the results. Results: A total of 161 middle school students in Quzhou City were identified as having comorbid myopia, overweight/ obesity and depressive symptoms, with a detection rate of 2.74%. The results of multivariate Logistic regression analysis showed that the coexistence of myopia, overweight/obesity and depressive symptoms increased among middle school students with older age ( OR =1.11), a greater number unhealthy dietary behaviors (1,2,≥3; OR =2.40, 2.70, 4.63), insufficient sleep( OR =1.78) and alcohol consumption ( OR =2.11)(all P <0.05). Compared with no homework after class, those whose homework duration after class was 1 to < 2 hour had a lower risk of comorbidity of myopia, overweight/obesity and depressive symptoms ( OR =0.53, P <0.05). The results of the nomogram model showed that the AUC (95% CI ) was 0.71 (0.67-0.74). Conclusions The coexistence of myopia, overweight/obesity and depressive symptoms among middle school students in Quzhou City is related to age, sleeping, alcohol consumption, poor dietary behavior and the duration of after school homework. The nomogram model can assist in the early screening and intervention of multiple health issues among students.

Background::Programmed death 1 (PD-1) blockade plus chemotherapy has become the new first-line standard of care for patients with advanced non-small-cell lung cancer (NSCLC). Yet not all NSCLC patients benefit from this regimen. This study aimed to investigate the predictors of PD-1 blockade plus chemotherapy in untreated advanced NSCLC.Methods::We integrated clinical, genomic, and survival data from 287 patients with untreated advanced NSCLC who were enrolled in one of five registered phase 3 trials and received PD-1 blockade plus chemotherapy or chemotherapy alone. We randomly assigned these patients into a discovery cohort ( n = 125), a validation cohort ( n = 82), and a control cohort ( n = 80). The candidate genes that could predict the response to PD-1 blockade plus chemotherapy were identified using data from the discovery cohort and their predictive values were then evaluated in the three cohorts. Immune deconvolution was conducted using transcriptome data of 1014 NSCLC patients from The Cancer Genome Atlas dataset. Results::A genomic variation signature, in which one or more of the 15 candidate genes were altered, was correlated with significantly inferior response rates and survival outcomes in patients treated with first-line PD-1 blockade plus chemotherapy in both discovery and validation cohorts. Its predictive value held in multivariate analyses when adjusted for baseline parameters, programmed cell death ligand 1 (PD-L1) expression level, and tumor mutation burden. Moreover, applying both the 15-gene panel and PD-L1 expression level produced better performance than either alone in predicting benefit from this treatment combination. Immune landscape analyses revealed that tumors with one or more variation in the 15-gene panel were associated with few immune infiltrates, indicating an immune-desert tumor microenvironment.Conclusion::These findings indicate that a 15-gene panel can serve as a negative prediction biomarker for first-line PD-1 blockade plus chemotherapy in patients with advanced NSCLC.

Objective To investigate the expression of IL-18,IL-18BP,and IL-18R in the peripheral blood B lymphocytes and mono-cytes of patients with atopic dermatitis(AD).Methods Peripheral venous blood was collected from 28 patients with AD and 21 healthy controls,and stimulated with Artemisia sieversiana wild allergen extract,house dust mite allergen extract,or Platanus pollen allergen extract.The expression of IL-18+,IL-18BP+,and IL-18R+in B lymphocytes and monocytes was measured using flow cytometry.Results Compared with the healthy control group,the proportions of IL-18+,IL-18BP+,and IL-18R+cells in the B lymphocyte group of patients with AD at rest increased 2.01-,10.35-,and 20.85-fold,respectively.The proportions of IL-18+and IL-18BP+cells in monocytes increased 5.51-and 41.88-fold,respectively,whereas the proportion of IL-18R+cells did not differ significantly between the groups.Conclusion IL-18,IL-18BP,and IL-18R in B lymphocytes and monocytes may play an important role in AD.IL-18,IL-18BP,and IL-18R may be potential targets for the treatment of AD.

Objectives:To observe and analyze the relationship between thoracolumbar vertebral fractures and vertebral bone structure,as well as stress distribution within ligaments,in order to explore the mechanical mechanisms underlying thoracolumbar vertebral fractures.Methods:Eight healthy young male volunteers were recruited for the study.X-ray and CT examinations of the entire spine were conducted to rule out spinal deformity,tumor,and bone disease.Bone mineral density(BMD)measurements were taken for each vertebral body and femur to exclude osteoporosis.CT thin layer scan was performed from the upper endplate of T11 to lower edge of L2 vertebra,and the CT image parameters were imported to ABAQUS 2016 software to standardize and perform finite element mesh construction.The thoracolumbar spine finite element model was developed using MIMICS 17.0,GEOMAGICS 15.0,and PRO/ENGINEER 5.0 softwares to measure relevant parameters,and its efficacy was validated.Seven motion states,including vertical compression,flexion,extension,left and right lateral bending,and left and right rotation,were simulated.ABAQUS software was employed to analyze stress distribution patterns and variations in the seven motion states of the finite element model,allowing for the observation of the relationship between stress distribution and thoracolumbar fracture.Results:The validated three-dimensional finite element model utilized in this study consisted of 309,583 nodes and 428,760 elements,encompassing anatomical structures such as four vertebral bodies,three intervertebral discs,and various ligaments including the anterior longitudinal ligament,posterior longitudinal ligament,intertransverse ligament,and interspinous ligament.Analysis of the data across seven different motion states revealed no significant deviations from the findings reported by other literature,confirming the accuracy and reliability of the model.The cross-sectional areas of T11-L2 pedicle were 135mm2,154mm2,105mm2,and 139.2mm2,respectively.High stress areas presented within the cancellous bone of the vertebral body,the pedicle and surrounding cortex of the vertebral body during various states of motion according to the stress cloud map analysis.Specifically,the T12 vertebral body exhibited the highest stress level(617.4MPa)under vertical compression,while the T11 vertebral body experienced the highest stress level(200.7MPa)during forward flexion.Additionally,the maximum stress levels recorded for the L1 vertebral body were 314.2MPa,574.4MPa,626.2MPa,641.3MPa,and 527.1MPa during extension,left and right lateral bending,and left and right rotation,respectively.The stress experienced by the L1 vertebral body was found to be minimal in the flexion position and maximal in the left rotation position.T12 vertebral fracture was observed under vertical compression,while T11 vertebral fracture occurred during flexion.L1 vertebral fracture,in combination with ligament injury,was observed during extension,left and right lateral bending,and left and right rotation.High stress areas were identified in anterior longitudinal ligament during extension and left and right lateral bending and in posterior longitudinal ligament during flexion.High stress areas were observed in the intertransverse and interspinous ligaments during movements involving forward flexion,left and right lateral bending,and left and right rotation.Conclusions:In the three-dimensional model of thoracolumbar spine,in-corporating key ligaments,intervertebral discs,and other soft tissue structures,notable areas of high stress were identified within the cancellous bone of vertebral body,pedicle and surrounding cortical bone,and liga-ments.Variations in maximum stress levels were observed in vertebral body under different conditions,result-ing in varying degrees of vertebral body fracture and ligament injury;L1 pedicle exhibited the smallest cross-sectional area and was prone to fracture.