Objective: To identify the core symptoms and bridge symptoms in the network structure among adolescents bullying victimization, anxiety and depressive symptoms, and to explore the interrelationships among these three variables, so as to provide a basis for the precise prevention of bullying behaviors and the improvement of adolescents psychological health conditions. Methods: From October to November 2023, a stratified cluster random sampling method was employed to select 4 759 middle and high school students from four cities in Guangxi: Beihai, Guigang, Hechi, and Laibin. The Chinese version of the Olweus Bully/Victim Questionnaire (OBVQ) was used to assess bullying victimization among adolescents, while the Generalized Anxiety Disorder-7 (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9) were utilized to assess anxiety and depressive symptoms, respectively. The Bootnet package (version 1.6) in R software (version 4.4.1) was used to construct a network structure and analyze the associations between bullying victimization, anxiety symptoms and depressive symptoms among adolescents. Results: The reporting rates of depressive symptoms, anxiety symptoms, and bullying victimization among adolescents in Guangxi were 24.67%, 16.33%, and 16.58%, respectively. Network analysis revealed that the node with the highest expected influence was "property being taken or damaged", with a standardized expected influence (EI) index of 2.09. The top two nodes in terms of bridge expected influence were "thoughts of self harm or suicide" and "irritability", with standardized bridge expected influence (BEI) indices of 2.15 and 1.27, respectively. The stronger associations were observed between the node "property being taken or damaged" and the nodes "physical attacks such as hitting, kicking, pushing, or shoving" and "ridiculed due to accent", with edge weights of 0.43 and 0.35, respectively. Conclusion Targeting preventive measures against the symptoms with the highest expected influence and bridge expected influence in the network of bullying victimization, anxiety and depressive symptoms among adolescents may be an effective approach to reduce the negative impact of bullying victimization, anxiety and depressive symptoms on adolescents.

Objective To construct a radiomic model based on intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI ) for preoperative prediction of hepatocellular carcinoma (HCC ) differentiation and validate its clinical value.Methods Clinical and imaging data of 187 HCC patients who received surgical treatment in the Third Affiliated Hospital of Chongqing Medical University from June 2018 to January 2024 were collected and retrospectively analyzed.According to the postoperative pathological results,they were divided into low-differentiation group (n=58)and non-low-differentiation group (n=129),andrandomly divided into the training group (n=149)and the validation group (n=38)with the ratio of 8∶2. Univariate analysis was used to assess the clinical indicators related to HCC differentiation,and then a clinical model was constructed. Pyramidimics software was used to extract the radiomic features of IVIM-DWI functional images,and minimum absolute contraction and selection operator logistic regression algorithm were employed to screen those highly correlated indicators with HCC differentiation.Support vector machine (SVM),logistic regression (LR)and random forest (RF)algorithms were utilized to construct different image omics models.SVM algorithm was applied to construct the combined imaging omics and clinical model. The internal verification of the model was carried out by using ten-fold cross-validation.Receiver operating characteristic (ROC)curve,area under the curve (AUC),calibration curve,and decision curve analysis (DCA)were used to evaluate the diagnostic value and clinical benefits of clinical model,radiomic model,and their combination.Results A total of 4060 radiological features were extracted,and after feature screening and dimensionality reduction,24 features were finally included to construct the model.Among all models,the predictive performance of the radiomic model and the radiomic-clinical combined model was better than that of the clinical model.In the comparison between the radiomic model constructed by SVM algorithm and the radiomics-clinical combined model,the AUC value was 0.954 (0.908～1.000)for the former model,and was 0.943 (0.905～0.982)for the latter model in the training set,and there was no significant difference between them.In the validation set,the AUC value was 0.807 (0.640～0.975 )and 0.876 (0.743～1.000),respectively,with statistical difference between the 2 models (P<0.05).Calibration curve analysis showed that the radiomic model and the radiomics-clinical combined model had good goodness of fit.DCA indicated that the net benefit was higher and the threshold probability range was larger in both the radiomic model and the radiomics-clinical combined model,and the net benefit of the combined model was larger. Conclusion Both the radiomic model and the combined radiomics-clinical model constructed on the basis of IVIM-DWI functional images can better predict the severity of HCC differentiation before surgery.

In this paper,we have made a preliminary analysis on the necessity,main contents and difficulties in teaching medical undergraduates the principles and applications of optogenetics experimental technology.We focused on theory and practice teaching and emphasized on the most important technological principles,including how to achieve selective intervention of specific neural pathways;how to achieve twoway control of cell excitation or inhibition effect and the main process of the experiment.Finally,we have summarized our recent experience in the teaching process,to provide reference for basic medical experiments teaching in related medical colleges,so as to promote optogenetics experimental teaching for undergraduates in domestic medical colleges.

Objective To investigate the influence of albumin on the expression of angiotensin-eonverting enzyme (ACE) in cultured human proximal tubular ceils (HK-2). Methods HK-2 cells were exposed to 2.5, 5, 10 g/L bovine serum albumin (BSA) for 6 h and 12 h respectively. The expression of ACE in HK-2 cells was detected by real-time RT-PCR and Western blot. Results Compared to the control group, the expression of HK-2 cells ACE mRNA treated for 12 h with different concentrations of BSA (2.5, 5, 10 g/L) significantly increased (P