Objective: To explore the network structure of eating behaviors with anxiety, depression and perceived stress in adolescents, so as to provide a basis for effective prevention and intervention of eating behavior problems and negative emotions in adolescents. Methods: Based on the Psychology and Behavior Investigation of Chinese Residents (2021) database, the study was conducted among 3 087 adolescents. Sakata Eating Behavior Scale Short From(EBS-SF) was used to investigate their eating behaviors. The Patient Health Questionnaire-9(PHQ-9), Generalized Anxiety Disorder Scale-7 Item(GAD-7), and Perceived Stress Questionnaire-3 Item (PSQ-3) were used to evaluate their depression, anxiety and perceived stress. Network analysis method was applied to construct a network of eating behaviors and negative emotional symptoms among adolescents, so as to evaluate the centrality, bridge strength, stability and accuracy of each item. Results: The total scores of eating behaviors, depression,anxiety and stress perception in adolescents were 17.41±4.53,6.95±6.08,4.86±5.03,9.34±3.80,respectively. The symptom with the highest intensity and expected impact was "I am only satisfied when I buy more food than I need", with a node intensity and expected impact value of 4.37. The nodes Depression and Anxiety were the most closely connected(weight=0.87). There were no statistically significant differences in the network structure( M =0.13,0.11) and network connection strength(female and male:4.16,4.06, s =0.10;urban and rural areas:4.08,4.07, s =0.01) between different sexes and residents ( P >0.05). Conclusion The negative impact of comorbidities such as anxiety, depression, perceived stress and eating behaviors among adolescents can be reduced through targeted prevention and intervention of core symptoms and bridging symptoms.

Objective To investigate whether Yiqicongming Decoction(YCD)can alleviate dry eye syndrome in rats.Methods Thirty-six male SD rats at 6 weeks of age were divided into blank group,model group,positive group,YCD high-dose group,YCD medium-dose group,and YCD low-dose group,with six rats in each group.The rats underwent iris,tear secretion volume,and corneal epithelial damage scoring assessments.Conjunctival tissue was stained with PAS,and the activity of superoxide dismutase(SOD)and the content of malondialdehyde(MDA)were detected using the en-zyme-linked immunosorbent assay(ELISA).The level of reactive oxygen species(ROS)was measured by flow cytometry.Western blot was used to detect the protein expression of nuclear factor erythroid 2-related factor 2(Nrf2)and hymeoxyge-nase-1(HO-1)in corneal tissues.Results Compared with the blank group,the number of goblet cells in the conjuncti-va,corneal epithelial injury score,MDA content and ROS level in the model group were significantly increased at all time points(all P＜0.05).The tear secretion volume of rats decreased on days 3,7,and 14,and the number of conjunctival goblet cells and SOD activity also decreased(all P＜0.05).Compared with the model group,the conjunctival score,corne-al epithelial injury score,MDA content,and ROS level in the positive control group and high-,medium-,and low-dose YCD groups were significantly reduced(all P＜0.05),while SOD activity and protein expression levels of Nrf2 and HO-1 in rats on day 14 were significantly increased(all P＜0.05).Compared with the high-dose YCD group,the conjunctival score,corneal epithelial injury score,and ROS level in the low-and medium-dose YCD groups were significantly increased(all P＜0.05),while SOD activity and protein expression levels of Nrf2 and HO-1 on day 14 were significantly decreased(all P＜0.05).On day 14,the tear secretion volume and the number of goblet cells in the conjunctiva of rats administered a low dose of Yiqi Congming Decoction both decreased(all P＜0.05).Compared with the medium-dose YCD group,the conjunc-tival score,corneal epithelial injury score and ROS level in the low-dose YCD group were significantly increased(all P＜0.05),while the tear secretion volume and protein expression levels of Nrf2 and HO-1 on day 14 were significantly de-creased(all P＜0.05).Conclusion YCD can increase tear secretion,alleviate iris and corneal epithelial damage,acti-vate Nrf2/HO-1 pathway,regulate oxidative stress,and alleviate dry eye syndrome.

Objective To investigate whether Yiqicongming Decoction(YCD)can alleviate dry eye syndrome in rats.Methods Thirty-six male SD rats at 6 weeks of age were divided into blank group,model group,positive group,YCD high-dose group,YCD medium-dose group,and YCD low-dose group,with six rats in each group.The rats underwent iris,tear secretion volume,and corneal epithelial damage scoring assessments.Conjunctival tissue was stained with PAS,and the activity of superoxide dismutase(SOD)and the content of malondialdehyde(MDA)were detected using the en-zyme-linked immunosorbent assay(ELISA).The level of reactive oxygen species(ROS)was measured by flow cytometry.Western blot was used to detect the protein expression of nuclear factor erythroid 2-related factor 2(Nrf2)and hymeoxyge-nase-1(HO-1)in corneal tissues.Results Compared with the blank group,the number of goblet cells in the conjuncti-va,corneal epithelial injury score,MDA content and ROS level in the model group were significantly increased at all time points(all P＜0.05).The tear secretion volume of rats decreased on days 3,7,and 14,and the number of conjunctival goblet cells and SOD activity also decreased(all P＜0.05).Compared with the model group,the conjunctival score,corne-al epithelial injury score,MDA content,and ROS level in the positive control group and high-,medium-,and low-dose YCD groups were significantly reduced(all P＜0.05),while SOD activity and protein expression levels of Nrf2 and HO-1 in rats on day 14 were significantly increased(all P＜0.05).Compared with the high-dose YCD group,the conjunctival score,corneal epithelial injury score,and ROS level in the low-and medium-dose YCD groups were significantly increased(all P＜0.05),while SOD activity and protein expression levels of Nrf2 and HO-1 on day 14 were significantly decreased(all P＜0.05).On day 14,the tear secretion volume and the number of goblet cells in the conjunctiva of rats administered a low dose of Yiqi Congming Decoction both decreased(all P＜0.05).Compared with the medium-dose YCD group,the conjunc-tival score,corneal epithelial injury score and ROS level in the low-dose YCD group were significantly increased(all P＜0.05),while the tear secretion volume and protein expression levels of Nrf2 and HO-1 on day 14 were significantly de-creased(all P＜0.05).Conclusion YCD can increase tear secretion,alleviate iris and corneal epithelial damage,acti-vate Nrf2/HO-1 pathway,regulate oxidative stress,and alleviate dry eye syndrome.

Objective:To investigate the value of nomogram based on radiomics features of CT enterography (CTE) combined with clinical characteristics to predict secondary loss of response (SLOR) after infliximab (IFX) treatment in patients with Crohn′s disease (CD).Methods:This study was a case-control study. Clinical and imaging data of 155 patients with CD diagnosed at the First Affiliated Hospital of Anhui Medical University from March 2015 to July 2022 were retrospectively collected. The patients were divided into a training set ( n=108) and a testing set ( n=47) in the ratio of 7∶3 by stratified sampling method. All patients were treated according to the standardized protocol and were classified as SLOR (43 in the training set and 18 in the testing set) and non-SLOR (65 in the training set and 29 in the testing set) according to treatment outcome. Based on the data from the training group, independent clinical predictors of SLOR after IFX treatment were screened in the clinical data using univariate and multivariate logistic regression analysis to establish a clinical model. Intestinal phase images were selected to be outlined layer by layer along the margin of the lesion to obtain the volume of the region of interest to extract the radiomics features. The radiomics features were screened using univariate analysis and the minimum absolute shrinkage and selection operator to establish the radiomics model. Multivariate logistic regression analysis was used to build a combined clinical-radiomics model based on the screened clinical independent predictors and radiomics characters, then a nomogram was drawn. The predictive efficacy of the 3 models for SLOR after IFX treatment was assessed by receiver operating characteristic curves, and the area under the curve (AUC) was calculated. The decision curve analysis was applied to evaluate the clinical utility of the models. Results:Disease duration ( OR=1.983, 95% CI 1.966-2.000, P=0.046) and intestinal stenosis ( OR=1.246, 95% CI 1.079-1.764, P=0.015) were identified as the independent predictors of SLOR in the clinical data, and a clinical model was established. Totally 9 radiomics features were included in the radiomics model. The AUCs of clinical, radiomics, and combined models for predicting SLOR after IFX treatment in CD patients were 0.691 (95% CI 0.591-0.792), 0.896 (95% CI 0.836-0.955), and 0.910 (95% CI 0.855-0.965) in the training set, and 0.722 (95% CI 0.574-0.871), 0.866 (95% CI 0.764-0.968), and 0.889 (95% CI 0.796-0.982) in the testing set. Decision curve analysis in the testing set showed higher net clinical benefits for both the radiomics model and combined model than the clinical model, and combined model had higher net clinical benefits than the radiomics model over most threshold probability intervals. Conclusions:CTE-based radiomics model can effectively predict SLOR after IFX treatment in patients with CD, and a combined model by incorporating clinical characteristics of disease duration and intestinal stenosis can further improve the predictive efficacy.

Objective:To explore the characteristics and evolution of mental health-related policies in China since the Reform and Opening-Up, and provide a reference for the formulating and developing future mental health policies.Method:Policy documents related to mental health, formulated at the national level since January 1979, were retrieved. The formulation of China′s mental health policies was divided into four stages: before 2005, 2006-2010, 2011-2015, and 2016-2023. Bibliometric methods such as co-word analysis and intergovernmental relations analysis were used to analyze the number of policy documents in each stage, the involvement of government departments, and the thematic hotspots of the policies.Result:A total of 121 mental health-related policy documents were retrieved from January 1, 1987, to October 31, 2023. The annual number of documents issued fluctuated since 2006, peaking at 17 in 2020; The number of departments involved in the drafting process has increased over time, from 4 departments in 1987-2005 to 37 departments in 2016-2023.The formulation of mental health policies has become increasingly detailed and operational, covering a more diverse range of thematic hotspots.Conclusion:The field of mental health policy in China shows a positive trend with deeper multi-department cooperation and policy content that increasingly aligned with the mental health needs of the general population, thereby promoting the sustainable development of mental health service to some extent.

Objective To establish a nomogram model for predicting clinical pregnancy rate in patients with endometriosis undergoing fresh embryo transfer.Methods We retrospectively collected the data of 464 endometriosis patients undergoing fresh embryo transfer,who were randomly divided into a training dataset(60%)and a testing dataset(40%).Using univariate analysis,multiple logistic regression analysis,and LASSO regression analysis,we identified the factors associated with the fresh transplantation pregnancy rate in these patients and developed a nomogram model for predicting the clinical pregnancy rate following fresh embryo transfer.We employed an integrated learning approach that combined GBM,XGBOOST,and MLP algorithms for optimization of the model performance through parameter adjustments.Results The clinical pregnancy rate following fresh embryo transfer was significantly influenced by female age,Gn initiation dose,number of assisted reproduction cycles,and number of embryos transferred.The variables included in the LASSO model selection included female age,FSH levels,duration and initial dose of Gn usage,number of assisted reproduction cycles,retrieved oocytes,embryos transferred,endometrial thickness on HCG day,and progesterone level on HCG day.The nomogram demonstrated an accuracy of 0.642(95%CI:0.605-0.679)in the training dataset and 0.652(95%CI:0.600-0.704)in the validation dataset.The predictive ability of the model was further improved using ensemble learning methods and achieved predicative accuracies of 0.725(95%CI:0.680-0.770)in the training dataset and 0.718(95%CI:0.675-0.761)in the validation dataset.Conclusions The established prediction model in this study can help in prediction of clinical pregnancy rates following fresh embryo transfer in patients with endometriosis.

Objective To discuss the value of clinical radiomic nomogram(CRN)and deep convolutional neural network(DCNN)in distinguishing atypical pulmonary hamartoma(APH)from atypical lung adenocarcinoma(ALA).Methods A total of 307 patients were retrospectively recruited from two institutions.Patients in institu-tion 1 were randomly divided into the training(n=184:APH=97,ALA=87)and internal validation sets(n=79:APH=41,ALA=38)in a ratio of 7∶3,and patients in institution 2 were assigned as the external validation set(n=44:APH=23,ALA=21).A CRN model and a DCNN model were established,respectively,and the performances of two models were compared by delong test and receiver operating characteristic(ROC)curves.A human-machine competition was conducted to evaluate the value of AI in the Lung-RADS classification.Results The areas under the curve(AUCs)of DCNN model were higher than those of CRN model in the training,internal and external validation sets(0.983 vs 0.968,0.973 vs 0.953,and 0.942 vs 0.932,respectively),however,the differences were not statistically significant(p=0.23,0.31 and 0.34,respectively).With a radiologist-AI com-petition experiment,AI tended to downgrade more Lung-RADS categories in APH and affirm more Lung-RADS cat-egories in ALA than radiologists.Conclusion Both DCNN and CRN have higher value in distinguishing APH from ALA,with the former performing better.AI is superior to radiologists in evaluating the Lung-RADS classification of pulmonary nodules.

Objective To construct a radiomics nomogram combining clinical and a radiomics signature for distinguishing type Ⅱpapillary renal cell carcinoma(pRCC)from atypical clear cell renal cell carcinoma(ccRCC).Methods Clinical and CT data of patients with pathologically confirmed type Ⅱ pRCC(62 cases)and atypical ccRCC(56 cases)were analyzed.A random sample was divided into a training set(82 cases)and a test set(36 cases)in a ratio of 7∶3.Clinical factors were screened to construct clinical factor models.A total of 1 595 radiomics features of tumors were extracted from the corticomedullary phase CT images and based on the most effective features to construct a radiomics signature and calculate the radiomics score(Rad-score).A radiomics nomogram was constructed by combining the Rad-score and independent clinical factors.Receiver operating characteristic(ROC)curve was used to assess the clini-cal usefulness of the models.Decision curve analysis(DCA)was used to assess the difference between the models.Results The radiomics signature showed good discrimination in training set area under the curve(AUC)0.894[95％confidence interval(CI)0.834-0.947]and test set AUC 0.879(95％CI 0.774-0.963).The AUC of the clinical factors model in training set and test set were 0.725(95％CI 0.646-0.804)and 0.698(95％CI 0.567-0.819).The AUC of the radiomics nomogram in training set and test set were 0.901(95％CI 0.840-0.953)and 0.901(95％CI 0.809-0.975).DCA demonstrated the radiomics nomogram outmatched the clinical factors model and radiomics signature in the aspects of clinical usefulness.Conclusion Radiomics nomogram based on enhanced CT can provide good prediction of type Ⅱ pRCC and atypical ccRCC preoperatively,improve the diagnostic accuracy and provide guidance for future clinical treatment.

Objective To explore the feasibility of harmonic waves analysis for observing morphological brain network changes in patients with depressive disorder(DD).Methods Whole brain 3D high resolution T1WI of 55 DD patients(DD group)and 46 normal controls(NC group)were acquired.Six kinds of morphological features brain network were constructed with FreeSurfer tool,including the number of brain region vertices,surface area,gray matter volume,average cortical thickness,Gaussian curvature and fold index.Laplace operator was applied to obtain common harmonic wave.The harmonic power of different morphological features and the gray matter volume in different brain regions were compared between groups.Results No significant difference of total harmonic energy was found between groups.The specific harmonic wave energies were significantly different between groups,including the number of brain region vertices corresponding to the 2nd,6th,15th,44th and 57th harmonic waves,surface area corresponding to the 2nd,6th,16th and 57th harmonic waves,gray matter volume corresponding to the 2nd,12th,13th,15th and 57th harmonic waves,average cortical thickness corresponding to the 2nd,19th,35th,36th and 44th harmonic waves,Gaussian curvature corresponding to the 34th,40th,54th and 57th harmonic waves,as well as fold index corresponding to the 5th,16th,21st and 57th harmonic waves.Gray matter volumes of transverse temporal gyrus in left hemisphere in DD group were significantly larger than that in NC group(t=2.900,P=0.004).Conclusion Harmonic waves analysis was feasible for observing morphological brain network changes in DD patients.

Objective To establish a nomogram model for predicting clinical pregnancy rate in patients with endometriosis undergoing fresh embryo transfer.Methods We retrospectively collected the data of 464 endometriosis patients undergoing fresh embryo transfer,who were randomly divided into a training dataset(60%)and a testing dataset(40%).Using univariate analysis,multiple logistic regression analysis,and LASSO regression analysis,we identified the factors associated with the fresh transplantation pregnancy rate in these patients and developed a nomogram model for predicting the clinical pregnancy rate following fresh embryo transfer.We employed an integrated learning approach that combined GBM,XGBOOST,and MLP algorithms for optimization of the model performance through parameter adjustments.Results The clinical pregnancy rate following fresh embryo transfer was significantly influenced by female age,Gn initiation dose,number of assisted reproduction cycles,and number of embryos transferred.The variables included in the LASSO model selection included female age,FSH levels,duration and initial dose of Gn usage,number of assisted reproduction cycles,retrieved oocytes,embryos transferred,endometrial thickness on HCG day,and progesterone level on HCG day.The nomogram demonstrated an accuracy of 0.642(95%CI:0.605-0.679)in the training dataset and 0.652(95%CI:0.600-0.704)in the validation dataset.The predictive ability of the model was further improved using ensemble learning methods and achieved predicative accuracies of 0.725(95%CI:0.680-0.770)in the training dataset and 0.718(95%CI:0.675-0.761)in the validation dataset.Conclusions The established prediction model in this study can help in prediction of clinical pregnancy rates following fresh embryo transfer in patients with endometriosis.