Abstract To improve adolescent health behavior, the study summarizes and analyzes the performance, pathways of transmission, and influencing factors of the intergenerational transmission of adolescent health behaviors from the perspective of intergenerational transmission. The study emphasizes the need to deepen research on the intergenerational transmission of adolescent health behaviors, promote multidisciplinary and cross team collaboration, and shift adolescent health care from individual focused care to a holistic approach that prioritizes family and community culture. Simultaneously, an action framework should be established to block the intergenerational transmission of health risk behaviors, with a focus on childhood and adolescence. Additionally, parent-child participatory health education and health promotion activities should be carried out under a tripartite coordinated intervention model involving the community, school, and family, collectively fostering the development of healthy behaviors among adolescents.

Aim To explore the mechanism of luteolin in alleviating hepatic fibrosis.Methods C57BL/6 mice were randomly divided into the control group,CCl4 group,silybin group(100 mg·kg-1)and luteo-lin group(100 mg·kg-1).After 10-week modeling and 2-week treatment,the serum levels of aminotrans-ferase and liver histopathology were examined.Hepatic fibrosis and autophagy-related gene expression were as-sessed using immunohistochemistry and immunofluores-cence.Human hepatic stellate cell line(LX2)was cultured and divided into control,TGF-β1(10 mg·L-1),TGF-β1+silybin(40 μmol·L-1),TGF-β1+luteolin(40 μmol·L-1).Fibrotic and autophagy-re-lated markers were analyzed using quantitative real-time PCR,Western blot,immunofluorescence and MDC staining.Results Compared with the CCl4 group,the treatment groups showed significantly improved liver function and reduced hepatic fibrosis,with markedly downregulated COL1A1 and α-SMA expression,and luteolin demonstrated superior efficacy.Compared with TGF-β1 group,luteolin treatment significantly de-creased mRNA levels of COL1A1,ACTA2 and MAP1LC3B,while increasing the mRNA level of SQSTM1,the protein levels of COL1A1 and α-SMA de-creased,p62 was enhanced,the LC3Ⅱ/Ⅰ ratio was downregulated,and autophagy was reduced.These effects of luteolin were reversed by autophagy inducer rapamycin.Conclusion Luteolin alleviates liver fi-brosis by decreasing the autophagy of hepatic stellate cells.

Objective To analyze the epidemiological characteristics of acute respiratory infections(ARIs)during the autumn-winter season in Beijing,providing evidence for the prevention,control,diagnosis,and treatment of ARIs.Methods A convenience sampling method was employed,enrolling patients who visited Peking Union Medical College Hospital(PUMCH)between September 2023 and February 2024 due to ARIs.Na-sopharyngeal swabs were collected,and real-time fluorescence quantitative PCR was used to detect six common respiratory pathogens[influenza A virus(FluA),influenza B virus(FluB),human rhinovirus(HRV),Myco-plasma pneumoniae(MP),respiratory syncytial virus(RSV),and adenovirus(ADV)],as well as SARS-CoV-2 infection.The distribution patterns of pathogen infections were analyzed.Results A total of 5556 eligible patients were included.The overall positivity rate for the six common respiratory pathogens was 63.7％,with sin-gle-pathogen positivity at 54.0％,dual-pathogen positivity at 8.9％,and triple or more pathogen positivity at 0.7％.The predominant pathogens detected were FluA(16.1％)and RSV(15.7％),followed by ADV(11.1％),MP(11.1％),HRV(10.0％),and FluB(10.0％).No significant difference in overall pathogen positivity was observed between genders.However,significant differences were found between autumn and winter(x2=34.617,P＜0.001)and among pediatric,young/middle-aged,and elderly patients(x2=422.38,P＜0.001).Specifically,MP(x2=8.647,P=0.003),FluA(x2=131.932,P＜0.001),and HRV(x2=174.199,P＜0.001)exhibited significantly higher positivity rates in autumn than in winter,whereas FluB was more prevalent in winter(x2=287.894,P＜0.001).In pediatric patients,MP,RSV,HRV,and ADV positivity rates were significantly higher than in young/middle-aged and elderly patients(all P＜0.001),whereas FluB was more common in young/middle-aged patients(both P＜0.001).The positivity rates of the six common respiratory pathogens significantly declined during the SARS-CoV-2 epidemic period,exhibiting an asynchronous seasonal pattern.Conclusions The prevalence of respiratory pathogens in Beijing is associated with age and season.Tar-geted preventive measures should be implemented in different seasons and for key populations.

Aim To explore the mechanism of luteolin in alleviating hepatic fibrosis.Methods C57BL/6 mice were randomly divided into the control group,CCl4 group,silybin group(100 mg·kg-1)and luteo-lin group(100 mg·kg-1).After 10-week modeling and 2-week treatment,the serum levels of aminotrans-ferase and liver histopathology were examined.Hepatic fibrosis and autophagy-related gene expression were as-sessed using immunohistochemistry and immunofluores-cence.Human hepatic stellate cell line(LX2)was cultured and divided into control,TGF-β1(10 mg·L-1),TGF-β1+silybin(40 μmol·L-1),TGF-β1+luteolin(40 μmol·L-1).Fibrotic and autophagy-re-lated markers were analyzed using quantitative real-time PCR,Western blot,immunofluorescence and MDC staining.Results Compared with the CCl4 group,the treatment groups showed significantly improved liver function and reduced hepatic fibrosis,with markedly downregulated COL1A1 and α-SMA expression,and luteolin demonstrated superior efficacy.Compared with TGF-β1 group,luteolin treatment significantly de-creased mRNA levels of COL1A1,ACTA2 and MAP1LC3B,while increasing the mRNA level of SQSTM1,the protein levels of COL1A1 and α-SMA de-creased,p62 was enhanced,the LC3Ⅱ/Ⅰ ratio was downregulated,and autophagy was reduced.These effects of luteolin were reversed by autophagy inducer rapamycin.Conclusion Luteolin alleviates liver fi-brosis by decreasing the autophagy of hepatic stellate cells.

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 analyze the association between eye-related behaviors and myopia among preschool chil-dren in Ningxia Hui Autonomous Region,and to develop a predictive nomogram model.Methods Using stratified cluster random sampling,36 062 preschool children from 400 randomly selected kindergartens in Ningxia Hui Autonomous Region were enrolled between October and December 2023.Primary caregivers of participants completed structured question-naires.Data were randomly split into a training set(n=25 243,70％)and a validation set(n=10 819,30％)in a ratio of 7∶3.The training set was used for model construction,and the validation set for external validation.Calibration plots and the Hosmer-Lemeshow(H-L)goodness-of-fit test assessed agreement between predicted and observed risks.Decision curve analysis(DCA)and clinical impact curve analysis(CICA)evaluated clinical utility.Results The myopia preva-lence among preschool children in Ningxia Hui Autonomous Region was 3.8％.A nomogram model based on binary Logistic regression showed area under the curve(AUC)values of 0.88(95％CI:0.87-0.89)for the training set and 0.89(95％CI:0.87-0.90)for the validation set,indicating strong discriminative ability.Calibration curves and H-L tests revealed good model fit(training set:x2=4.92,P=0.766;validation set:x2=5.52,P=0.961),with all P＞0.05.DCA and CICA confirmed clinical utility.The nomogram identified parental myopia,academic pressure,frequency of eye fatigue,daily screen time,and regular vision checks as the top five predictors of myopia.Conclusion The nomogram demonstrates promising potential for predicting myopia risk in preschool children in Ningxia Hui Autonomous Region,serving as a robust tool for clinical and educational myopia risk assessment.

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.

Objective:To explore the application of nursing intervention based on the capability, opportunity, motivation-behavior model (COM-B) in stroke patients during the rehabilitation period.Methods:Using the convenience sampling method, 146 stroke patients admitted to the First Affiliated Hospital of Zhengzhou University from February 2021 to February 2024 were selected as the research objects. According to the admission time sequence, they were divided into the COM-B group and the routine group, with 73 cases in each group. The routine group received routine nursing measures, and the COM-B group was intervened with the COM-B intervention, both for 3 months. The scores of the Health Education Self-Management Scale for Stroke Patients (HES-SP), the Exercise of Self-Care Agency Scale (ESCA), the Fugl-Meyer Assessment (FMA), and the Barthel Index of the two groups before and after the intervention were compared.Results:Finally, 72 patients in the COM-B group and 71 patients in the routine group completed the study. After 3 months of intervention, the scores of ESCA, HES-SP, FMA, and the Barthel Index of the two groups were all higher than those before the intervention, and the scores of COM-B group were all higher than those of the routine group, and the differences were statistically significant ( P<0.05) . Conclusions:The application of the COM-B intervention in stroke patients can improve patients' healthy behaviors and self-care abilities, and enhance their limb motor function and activities of daily living abilities, with a good application effect.

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.

The objective of this study was to evaluate the protective effect and possible related mechanisms of Sophora subprostrate polysaccharide(SSP)on intestinal epithelial cell injury in-duced by Tert-Butyl hydroperoxide(TBHP).The optimal dose of TBHP and the safe concentra-tion range of SSP were determined using the MTT method.In this study,IPEC-J2 cells were divid-ed into five groups:the control group,the model group,the SSPL group,the SSPM group and the SSPH group,and the cell morphology,cell survival rate and LDH release rate were observed and measured.The content of intracellular reactive ROS was observed and determined by DCFH-DA staining.The content of MDA in the supernatant and the antioxidant index of cells were determined by the reagent kit.Transcriptome technology was employed to analyze the potential mechanisms by which SSP mitigates oxidative damage in IPEC-J2 cells.The results showed that treatment with 625 μmol/L TBHP for 2 h significantly reduced the activity of IPEC-J2 cells,markedly increased LDH release(P＜0.05),inhibited CAT superoxide SOD and glutathione GPX activities(P＜0.05),and significantly elevated MDA and ROS levels(P＜0.05).Compared to the model group,after SSP treatment,intracellular ROS levels were significantly reduced(P＜0.05),while CAT,SOD,and GPX activities were significantly increased(P＜0.05),and MDA content and LDH re-lease were significantly decreased(P＜0.05)in a dose-dependent manner.Transcriptome analysis revealed that TBHP treatment significantly altered the transcriptional profiles of IPEC-J2 cells,while SSP treatment could restore the transcriptional profiles of the damaged cells to a certain ex-tent.Gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)indicated that the differentially expressed genes between the CC and TBHP groups were significantly enriched in oxidative phosphorylation,ribosome,and other pathways.Meanwhile,the differentially expressed genes between the SSP and TBHP groups were mainly enriched in oxidative phosphorylation,ap-optosis,glyoxylate and dicarboxylate metabolism,and other pathways.These results suggest that TBHP may disrupt normal oxidative respiration in IPEC-J2 cells by affecting oxidative phospho-rylation and interfering with metabolism pathways involving glycine,serine,and threonine,leading to oxidative damage in intestinal epithelial cells.Conversely,SSP treatment may potentially restore oxidative phosphorylation processes,alleviate lysosomal damage,reduce cell apoptosis,and miti-gate oxidative damage in intestinal epithelial cells through modulation of oxidative phosphoryla-tion,apoptosis,and lysosomal pathways.This discovery provides a theoretical basis for the clinical application of SSP in alleviating oxidative damage in the porcine intestinal tract.