Objective: To investigate the association between different digital media usage types and depressive symptoms among junior and senior high school students, so as to provide a scientific reference for making precise mental health prevention and intervention strategies for adolescents. Methods: In October 2024, a convenience cluster sample of 3 225 students was collected from 2 junior high schools and 2 senior high schools in Shenyang City. Participants were investigated for its daily usage duration of various digital media types and depressive symptoms. Cochran-Armitage trend test was used to examine trend in depressive symptom detection rates across digital media usage types. Multivariate Logistic regression model was employed to assess associations, with stratified analyses by gender and educational stage. Results: The daily usage durations for educational/learning, social/chatting, gaming, and video/music/novel digital media were 30.0(12.1, 60.0), 22.9(9.3, 50.0), 17.1(0.0, 50.0), and 22.9(8.6, 55.7) minutes for junior and senior high school students, respectively. The detection rate of depressive symptoms was 46.1%. Among them, the detection rate of depressive symptoms of girls (49.8%) was higher than that of boys (42.3%), and that of senior high school students (53.2%) was higher than that of junior high school students (39.7%), and the differences were statistically significant ( χ 2= 18.35, 59.02, both P <0.01). Cochran-Armitage trend test revealed significant upward trends in depressive symptom detection rates with increasing usage of non educational digital media (social/chatting: Z =4.77; gaming: Z =3.24; video/music/novel: Z =7.30, all P <0.01). Logistic regression analysis showed that, compared to usage <1 h/d, using social/chatting digital media for 1-<2 h/d ( OR =1.66), 2-<3 h/d ( OR =1.80), and ≥3 h/d ( OR =2.68), gaming for 1-<2 h/d ( OR =1.48), 2-<3 h/d ( OR =1.90), and ≥3 h/d ( OR =2.93), and video/music/novel for 1-<2 h/d ( OR =1.76), 2-<3 h/d ( OR =2.00), and ≥3 h/d ( OR = 3.48) were all significantly associated with increased risks of depressive symptoms (all P <0.01). Conclusions Excessive use of non-educational digital media is a risk factor for depressive symptoms in adolescents. Regulating usage duration is beneficial for promoting adolescent mental health.

Objective To investigate the changes of brain deep gray matter nucleus volume and iron content in patients with type 2 dia-betes mellitus(T2DM)based on quantitative MR technology,and their correlation and mediating effect with cognitive impairment.Methods A total of 60 T2DM patients(T2DM group)and 61 healthy controls(HC)(HC group)were prospectively selected.The volume of brain deep gray matter nucleus of 3D-T1 sequence map was measured by artificial intelligence(AI)automatic segmentation technique,the corresponding region of interest(ROI)was manually drawn and quantitative susceptibility mapping(QSM)value was measured on QSM,the cognitive score,QSM value and volume of nucleus were compared by independent sample t test and rank sum test,and the correlation analysis of imaging indexes with differences between the two groups was made.The mediating effect between fasting blood glucose(FBG)and Montreal cognitive assessment(MoCA)score was analyzed.Results The MoCA and mini-mental state examination(MMSE)scores in the T2DM group were lower than those in the HC group(P＜0.05),the volumes of bilateral caudate nucleus,putamen,globus pallidus,thalamus,and right hippocampus in the T2DM group were lower than those in the HC group(P＜0.05),and the QSM values of left caudate nucleus,thalamus and bilateral globus pallidus in the T2DM group were higher than those in the HC group(P＜0.05).In the T2DM group,the volumes of bilateral thalamus and right hippocampus were positively correlated with MoCA score(left thalamus:r=0.326,P=0.012;right thalamus:r=0.373,P=0.004;right hippocampus:r=0.509,P＜0.001),and the QSM value of left thalamus was negatively correlated with MoCA score(r=-0.263,P=0.044).The mediating effect of right hippocampus volume and left thalamus QSM value was significant(P＜0.05),and the direct effect of FBG on cog-nitive score was significant(P＜0.05).Conclusion Brain deep gray matter nucleus atrophy and brain iron deposition are closely related to T2DM and cognitive impairment,and there is a mediating effect.Brain iron deposition will increase the risk of cognitive impairment in T2DM.

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.

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

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 investigate the changes of brain deep gray matter nucleus volume and iron content in patients with type 2 dia-betes mellitus(T2DM)based on quantitative MR technology,and their correlation and mediating effect with cognitive impairment.Methods A total of 60 T2DM patients(T2DM group)and 61 healthy controls(HC)(HC group)were prospectively selected.The volume of brain deep gray matter nucleus of 3D-T1 sequence map was measured by artificial intelligence(AI)automatic segmentation technique,the corresponding region of interest(ROI)was manually drawn and quantitative susceptibility mapping(QSM)value was measured on QSM,the cognitive score,QSM value and volume of nucleus were compared by independent sample t test and rank sum test,and the correlation analysis of imaging indexes with differences between the two groups was made.The mediating effect between fasting blood glucose(FBG)and Montreal cognitive assessment(MoCA)score was analyzed.Results The MoCA and mini-mental state examination(MMSE)scores in the T2DM group were lower than those in the HC group(P＜0.05),the volumes of bilateral caudate nucleus,putamen,globus pallidus,thalamus,and right hippocampus in the T2DM group were lower than those in the HC group(P＜0.05),and the QSM values of left caudate nucleus,thalamus and bilateral globus pallidus in the T2DM group were higher than those in the HC group(P＜0.05).In the T2DM group,the volumes of bilateral thalamus and right hippocampus were positively correlated with MoCA score(left thalamus:r=0.326,P=0.012;right thalamus:r=0.373,P=0.004;right hippocampus:r=0.509,P＜0.001),and the QSM value of left thalamus was negatively correlated with MoCA score(r=-0.263,P=0.044).The mediating effect of right hippocampus volume and left thalamus QSM value was significant(P＜0.05),and the direct effect of FBG on cog-nitive score was significant(P＜0.05).Conclusion Brain deep gray matter nucleus atrophy and brain iron deposition are closely related to T2DM and cognitive impairment,and there is a mediating effect.Brain iron deposition will increase the risk of cognitive impairment in T2DM.

Using China National Knowledge Infrastructure, Wanfang, and PubMed database, literature search was conducted with the keywords ^“pregnancy^” and ^“monkeypox^”, and 27 related research articles were selected for analysis. Through a comprehensive review of the related literature, we aim to improve our knowledge of this viral disease, better our prevention, treatment and responses to future monkeypox outbreaks in China, so as to better protect the safety of mothers and infants. Maternal monkeypox can be prevented and controlled, if active and effective measures are taken in time. Drawing on the experience and lessons from monkeypox outbreaks at home and abroad, it is suggested that hospitals and public health agencies at all levels should raise awareness, and establish an effective emergency preparedness system for the prevention and control of potential future outbreaks.

This study was aimed at analyzing the Salmonella infection rate,serotype distribution,and drug resistance rate among children with foodborne diseases in Wuhan,to provide evidence for the prevention and control of foodborne diseases in children.We collected pediatric cases of foodborne diseases and fecal specimens in Wuhan from 2017 to 2022,and conducted statistical analysis in SPSS 22.0.A total of 1 180 cases of foodborne diseases in children were monitored,and 281 strains of Salmonella were detected.Salmonella was distributed across 27 serotypes,primarily Salmonella enteritidis(138 strains,ac-counting for 49.11％)and Salmonella typhimurium(37 strains,accounting for 13.17％).The Salmonella-positive cases in-cluded more boys than girls(1.58∶1 ratio),and the age group with the highest detection rate was 7-18 years(34.48％).The proportion of positive patients gradually decreased,and the detection rate gradually increased,with increasing age.Milk and dairy products,fruits and fruit products,and grain and grain products were the main suspected food exposures with high Sal-monella detection rates.The Salmonella detection rate was highest in the third quarter(44.64％),and significant differences were observed in the positivity rates of Salmonella samples across seasons(x2=178.483,P＜0.05).The main clinical mani-festations of children with Salmonella infection were fever(87.19％)and diarrhea(96.44％),primarily watery stool(51.96％).Salmonella showed different degrees of resistance to 14 antibiotics(1.08％-75.99％),primarily ampicillin(75.99％),tetracycline(68.10％),and cefazolin(50.18％).A significant seasonal pattern was observed in the detection of Sal-monella in foodborne diseases among children in Wuhan,and in various suspected food exposures.The serotype composition was polymorphic,and the Salmonella resistance rate was relatively high.Therefore,active monitoring of foodborne diseases and Salmonella resistance surveillance must continue to be strengthened.

Objective:This study aims to evaluate the incidence of postoperative malnutrition in colorectal cancer patients who underwent curative colorectal cancer surgery using the Golbal Leadership Initiative on Malnutrition(GLIM)criteria,and to explore the impact of malnutrition defined by the GLIM criteria on short-term clinical outcomes in patients with colorectal cancer.Method:We included a prospective cohort of 171 patients who underwent curative colorectal cancer surgery in Chongqing JiuLongpo People's Hospital from September 2022 to May 2023.Nutritional Risk Screening 2002(NRS 2002)was used for nutritional risk screening and GLIM criteria was used for the diagnosis of malnutrition.To compare the short-term postoperative clinical outcomes between the well-nourished group and the malnourished group under the GLIM criteria.Logistic regression analysis was conducted to analyze the risk factors of postoperative complications.Result:Among the included cases,nutritional screening data showed that 74(43.27％)patients were considered to be at risk of malnutrition(NRS 2002≥3),while based on GLIM criteria,63 patients(36.84％)were diagnosed as malnutrition.Univariate logistic regression analysis showed that GLIM-defined malnutrition was associated with total postoperative complications[odds ratio:2.075(95％CI:1.292～3.333),P=0.002].Multivariat analysis showed that women,BMI＜18.5kg/m2,smoking history,low differentiation of tumor,sarcopenia,laparotomy,low prealbumin,were independent risk factors for total postoperative complications.Conclusions:The nutritional diagnosis based on the GLIM criteria can effectively reflect the preoperative nutritional status of patients with colorectal cancer.GLIM-defined preoperative malnutrition can predict the risk of short-term complications in colorectal cancer patients who underwent curative colorectal cancersurgery.

Humans ; Child ; Dermatofibrosarcoma/surgery* ; Skin Neoplasms/surgery* ; Oncogene Proteins, Fusion/genetics*