Objective: To explore the impact of adverse childhood experiences (ACEs) on health risk behaviors (HRBs) among college students and the mediating role of psychological symptoms, so as to provide a basis for developing intervention strategies. Methods: From March to April 2023, a convenience cluster sample of 1 801 students from 12 universities in Nanning, Liuzhou, Guilin, Wuzhou of Guangxi completed an online survey. A self designed questionnaire, Adverse Childhood Experiences-International Questionnaire (ACE-IQ) and Symptom Checklist-90 (SCL-90) were used for evaluation tools. Binary Logistic regression, structural equation modeling (SEM) and Bootstrap methods were used to analyze the associations and mediating effects. Results: Overall, 71.2% of college students experienced at least one type of ACE, with emotional neglect (40.3%) and emotional abuse ( 25.2 %) having the highest detection rates. The top three HRBs were unhealthy diet (77.8%), physical inactivity (54.1%), and smoking/alcohol use (18.5%). Logistic regression showed that poor family functioning, abuse, and extra familial violence were each associated with an increased risk of smoking/alcohol use ( OR =1.14, 1.11, 1.18) and deliberate self harm ( OR =1.26, 1.19,1.30) (all P <0.05). Experience of abuse increased the risk of high risk sexual behavior and family dysfunction increaded the risk of physical inactivity, respectively ( OR = 1.07 , 1.04, both P <0.05). Mediation analysis revealed that anxiety ( β =0.20) and depression ( β = 0.09 ) partially mediated the pathway from poor family functioning to deliberate self harm; paranoia ( β =0.02) partially mediated the pathway from abuse to high risk sexual behavior; and obsessive-compulsive symptoms ( β =0.26) and depression ( β =0.10) partially mediated the pathway from extra familial violence to deliberate self harm (all P <0.05). Conclusion Psychological symptoms play a mediating role in the association between ACEs and HRBs, and mental health interventions may reduce the risk of HRBs among college students.

Objective: To investigate the association between metabolic dysfunction associated steatotic liver disease (MASLD) and bone mineral density among children and adolescents, so as to provide evidence for the early prevention and intervention of bone health in this population. Methods: In September 2022, a method combining convenience sampling with cluster sampling was used to select 5 089 children and adolescents aged 6-18 years in 9 schools from kindergarten to senior high school in Tongzhou District, Beijing, for physical measurements, ultrasound measurements, blood biochemical index testing, and questionnaire surveys. Participants were categorized into three groups: the normal control group ( n =1 515), the metabolic abnormality group (MA, n = 3 007 ), and the MASLD group ( n =567). Multivariable linear regression model was applied to examine the association between MASLD and bone speed of sound (SOS), while multivariable Logistic regression model was used to assess the association between MASLD and low bone mineral density. Subgroup analysis was conducted by sex and age groups. Results: Compared with the normal control group, the MASLD group showed significantly lower SOS values ( β =-6.31, 95% CI =-9.63 to -2.99), lower SOS Z scores ( β = -0.21, 95% CI =-0.32 to -0.10), and higher susceptibility to low bone mineral density( OR =1.56, 95% CI =1.25-1.96)（all P <0.05）. No significant differences in SOS or odds of low bone density were observed between the MA and normal control groups (all P > 0.05). In sex stratified analyses, males with MASLD exhibited significantly lower SOS Z scores ( β =-0.35, 95% CI =-0.49 to -0.20 , P <0.05), whereas no significant difference was observed in females with MASLD ( β =-0.03, 95% CI =-0.21-0.15; P >0.05). When hepatic steatosis grade (0, 1, 2, and 3) was treated as a continuous variable, each one grade increase was associated with a 31% higher odds of low bone mineral density ( OR =1.31, 95% CI =1.13 to 1.53, P <0.05). Conclusions MASLD is significantly associated with low bone mineral density among children and adolescents, with a stronger association in males. Moreover, children and adolescents with hepatic steatosis have a higher risk of impaired bone health compared with those with metabolic abnormalities alone.

Objective To explore the role of chloride intracellular channel 5 (CLIC5) in the development of lung adenocarcinoma (LUAD). Methods The expression levels of CLIC5 in LUAD samples were determined using bioinformatics and qRT-PCR. The correlation between CLIC5 expression and LUAD progression was revealed through survival analysis and clinicopathological feature analysis. After the knockdown or overexpression of CLIC5 in the LUAD cells, cell proliferation was assessed through colony formation assay, cell apoptosis rate by flow cytometry, and cell migration and invasion by scratch and Transwell invasion assay. The protein levels of vimentin and Snail were detected by Western blot. Results Bioinformatics analysis results showed low CLIC5 expression levels in the LUAD samples. This finding was associated with the aggressive progression of LUAD and the poor survival of patients with LUAD. The qRT-PCR results confirmed that CLIC5 was mainly expressed in the cytoplasm of the LUAD cells. CLIC5 overexpression inhibited cell activity and proliferation and promoted the apoptosis of LUAD cells. The knockdown of CLIC5 exhibited the opposite effect. CLIC5 overexpression inhibited the migration and invasion of LUAD cells, downregulated Bcl-2, vimentin, and Snail and upregulated Bax, cleaved caspase-3 and E-cadherin in the LUAD cells. CLIC5 knockdown exhibited opposite effects. Conclusion CLIC5 overexpression promotes cell apoptosis and inhibits cell proliferation and invasion, thereby inhibiting the development of LUAD. Hence, CLIC5 is a novel biomarker of prognosis and therapeutic target for LUAD.

Purpose: Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function. Materials and Methods: Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection. Results: The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways. Conclusions Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.

Objective To explore the effect of visual balance training combined with digital treadmill intervention on walking func-tion in patients with ischemic stroke.Methods From July,2023 to December,2024,90 patients with ischemic stroke in Gansu Provincial Hospital were ran-domly divided into control group(n=30),treadmill group(n=30)and combined group(n=30).All groups re-ceived routine rehabilitation treatment,while the treadmill group added digital treadmill training,and the com-bined group added visual feedback balance training and digital treadmill training,for four weeks.All groups were assessed with Berg Balance Scale(BBS),Pro-Kin visual feedback balance training system,Tinetti Performance-Oriented Mobility Assessment(POMA),digital treadmill system,Timed Up and Go Test(TUGT),Fugl-Meyer Assessment-Lower Extremities(FMA-LE),Functional Ambulation Category(FAC)and modified Barthel Index(MBI)before and after intervention.Results The effects of intra-group(F>147.291,P<0.001),inter-group(F>4.919,P<0.05)and interaction(F>18.386,P<0.001)were all significant for the indicators including BBS score,length trajectory and elliptical area of eyes open or closed,POMA score,step length,hip and knee range of motion on the healthy and affected side,TUGT time,FMA-LE score,and MBI score.Post-hoc tests showed that after treatment,all the above indicators improved in each group(P<0.01),and they were the best in the combined group,followed by the treadmill group(P<0.05).After treatment,the FAC grades improved in all the groups(|Z|>1.971,P<0.05),and it was better in the combined group than in the control group(P<0.01).Conclusion Visual feedback balance training combined with digital treadmill intervention can improve balance function,walking ability and activities of daily living in patients with ischemic stroke,which is more effective than tread-mill training alone.

Objective To explore the experiences of master degree nursing students and their supervisors under the dual-supervisor system.Methods A phenomenological research was adopted in this study eighteen master degree nursing students,five principle supervisors and four assistant supervisors from our university were selected through purposive sampling for semi-structured interviews between July and September 2023.Data acquired from the interviews was analysed using Colaizzi's method to summarise and extract the themes.Results Three main themes and eleven sub-themes were extracted,including the collaborative framework of the dual-mentor system(discrepancies in the perception of the dual-mentor system between faculty and students,the selection and matching process for associate mentors,the division of responsibilities and collaborative dynamics between primary and associate mentors,student-centered personalized training strategies,context-specific guidance provided by associate mentors,and the extent to which inter-role communication relies on student initiative),the benefits of the dual-mentor system(encompassing diversified academic and professional guidance,as well as integrated theoretical and practical support)and the expectations held by faculty and students regarding the dual-mentor system(refining institutional design and reinforcing accountability,enhancing the support infrastructure for associate mentors,and improving the tripartite communication mechanism among faculty,students,and associate mentors).Conclusion In nursing postgraduate education,the roles and responsibilities within the dual-mentor system can be more clearly delineated,and inter-mentor collaboration should be further strengthened.It is recommended to enhance tripartite communication among faculty,students,and associate mentors to foster the effective implementation and development of the dual-mentor system.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To explore more objective detection method for the performance of diagnostic equipment with ultrasound,so as to demonstrate that the subjectivity of the interpretation criteria will affect the results of resolution parameters of detection performance of ultrasonic equipment.Methods:A total of 77 conventional probes of 33 ultrasound equipment of Jiangsu Provincial Hospital were collected and sorted out.The resolution parameters of their performance were tested twice from 2022 to 2023 by the technical personnel of our institute and the tester of Jiangsu Institute of Metrology.The data was described by using the quartiles method.The resolution parameters of performances of ultrasound equipment and probes were paired to conduct Wilcoxon rank sum test,so as to compare the differences in same institute between different years,and in same year between different institute in testing the resolution parameters of performances of ultrasound equipment and probes.Results:For linear array probes,as long as the performance was tested in accordance with the standard method,there was no statistically significant difference in the resolution parameters measured between different institutes and between different times(P>0.05).For the convex array probe,in 2023,the lateral resolution[2(2,2)]of the 70mm target group,and the axial and lateral resolutions[1(1,1)and 3(3,3.25)]of the 120mm target group of our institute were different with the lateral resolution[2(1,2)]of the 70mm target group,and the axial and lateral resolutions[2(2,3)and 2(2,3)]of the 120mm target group of Jiangsu Institute of Metrology,and the differences of them between our institute and Jiangsu Institute of Metrology were significant(Z=-2.887,-2.53,-3.69,P<0.05),respectively.In our institute,the axial and lateral resolutions[1(1,2)and 2.5(2,3)]of the 70mm target group,and the axial resolution[1(1,2)]of the 120mm target group in 2022 were different with the axial and lateral resolutions[1(1,1)and 2(2,2)]of the 70mm target group,and the axial resolution[1(1,1)]of the 120mm target group in 2023,and the differences of them between two years were significant(Z=-3.317,-3.419,-2.982,P<0.05).In Jiangsu Institute of Metrology,the lateral resolutions of the 70mm target group,and the axial resolution[1(1,1)]of the 120mm target group in 2022 year were different with those in 2023 year,and the differences of them were significant(Z=-2.333,-3.051,P<0.05),respectively.Conclusion:The interpretation for lateral resolution of convex array probe in target group with high depth,the difference of subjective interpretation criteria will cause the essential difference of final results.This paper suggested that the key image should be retained when the resolution of the image of target group with high depth of the convex array probe is interpreted.At the later stage,artificial intelligence(AI)-assisted quality control can also be introduced to conduct objective interpretation by computers.

Recent rapid developments in molecular biological techniques have allowed the use of gene editing,as a means of genome modification,for the establishment of experimental animal models,with high efficiency,accuracy,and flexibility.This article mainly summarizes the construction and application of the latest gene-editing techniques in animal models,including pigs,non-human primates and dogs.It provides a theoretical reference for the application and in-depth study of gene-editing techniques in large experimental animals,which may better simulate human diseases,and for further studies of the potential pathogenesis of biomedical and human complex diseases.

Objective To construct a risk prediction model for post-stroke dysphagia(PSD)based on clinical and laboratory indicators of elderly stroke patients with explainable machine learning.Methods A retrospective analysis was conducted on 3994 stroke patients hospitalized in Depart-ment of Neurology of First Medical Center of Chinese PLA General Hospital from October 2010 to December 2021.Among them,the 1390 cases admitted during January 2019 and December 2021 were assigned into an external validation set,and the 2604 cases admitted during October 2010 to January 2019 were into a training group.Those from the training group were further divided into a training set(1823 cases)and an internal validation set(781 cases)in a 7∶3 ratio,and also grouped into a PSD subgroup(773 cases)and a non-PSD group(1831 cases).With occurrence of swallowing difficulties as an endpoint,risk prediction models were constructed using random for-est(RF),eXtreme Gradient Boosting(XGBoost),Support Vector Machine(SVM),and logistic regression.ROC curve analysis was employed to evaluate the performance of our models.After the optimal model was selected,SHAP was employed to interpret feature contributions.Results There were significant differences in muscle strength,right/left-sided stroke,and area of brain in-jury between the PSD and the non-PSD groups(P＜0.01).The PSD group had obviously larger proportions of hypertension,diabetes,and drinking history,increased neutrophil counts,and de-creased levels of potassium and albumin when compared with the non-PSD group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that age,drinking history,diabetes,hyper-tension,muscle strength grade,area of brain injury,hemispheric stroke,neutrophil count,and al-bumin and potassium levels were risk factors for PSD(P＜0.05,P＜0.01).The external validation results showed that the area under curve value of the RF model,XGBoost model,SVM model,and our logistic model was 0.883,0.902,0.877,and 0.868,respectively.The distribution of SHAP value showed that drinking history,hypertension and diabetes were positively correlated with PSD risk;Muscle strength was negatively correlated with the risk;Age growth was positively correlated with the risk;Subtentorial lesions showed stronger predictive efficacy than supratentorial lesions and entire lesions;The bilateral and right-sided stroke had higher risk for PSD than the left-sided stroke.Conclusion The model based on the XGBoost model shows best performance in predicting the risk for swallowing disorders in elderly patients after stroke.