Objective To understand the current situation of nutrition literacy of primary and secondary school students in Shijingshan District of Beijing, and analyze its influencing factors, and to put forward targeted suggestions for improving the students’ nutrition literacy and promoting their healthy growth. Methods A multi-stage stratified cluster sampling method was used to select 2480 primary and secondary school students and their parents from 5 primary schools, 3 middle schools and 1 high school in Shijingshan District. The multivariate logistic regression model was used to analyze the factors influencing the attainment rate of nutrition literacy. Results The median score of nutrition literacy of 2480 primary and secondary school students from grades 1 to 12 was 77.86 (in hundred-mark system), the quartile range (IQR) was 16.96, and the attainment rate of nutrition literacy was 42.46%. The cognitive level (45.12%) was higher than the skill level (41.20%) among students from grades 3 to 12. In terms of skills, the attainment rate of food preparation was the lowest, at 30.38%. The scores of nutrition literacy of girls were higher than those of boys, and the scores of primary school students were higher than those of secondary school students. Students with different levels of caregiver’s education, family income, and family food environment had different scores of nutrition literacy, and the differences were statistically significant (P<0.05). Multivariate logistic regression analysis showed that the attainment rate of nutrition literacy was closely related to student’s gender and study stage, caregiver’s education level, and family food environment. Conclusion The nutrition literacy of primary and secondary school students in Shijingshan District still needs to be improved, especially in the aspect of skills. Targeted nutrition education should be carried out.

Objective: To analyze the current status and influencing factors of psychological crisis among college students, so as to provide a scientific basis for the formulation of psychological crisis intervention plans in colleges and universities. Methods: From September to December 2024, 645 college students from a medical undergraduate university in Heilongjiang Province were selected with a convenience sampling method. A convergent mixed analysis design was used. Quantitative analysis was conducted using College Students Psychological Crisis Screening Scale, Emotion Regulation Questionnaire, Short-Egna Minnen av Barndoms Uppfostran and Perceived School Climate Scale. Binary Logistic regression analysis was used to explore the related factors of psychological crisis among college students. Qualitative research was conducted on 15 college students with psychological crisis identified in the quantitative analysis by a purposive sampling method. The interview data were organized and analyzed using the thematic framework analysis method. Results: Among the surveyed college students, 92 (14.3%) had psychological crisis. Binary Logistic regression analysis results showed that positive parenting style ( OR=0.97,95%CI =0.95-0.99), negative parenting style ( OR=1.01,95%CI =1.00-1.02), cognitive reappraisal ( OR=0.88, 95%CI =0.83-0.92), expressive suppression ( OR=1.08, 95%CI =1.02-1.15), and perceived campus atmosphere ( OR=0.97, 95%CI =0.95-0.98) were all related factors of psychological crisis among college students ( P <0.05). The qualitative analysis results showed that there were three themes for the influencing factors of college students psychological crisis, including differential impact of emotion regulation strategies on psychological state, shaping of psychological state of college students by family and bidirectional effect of perceived campus atmosphere on psychological state. Mixed analysis results showed that the influencing factors of college students psychological crisis were consistent in terms of emotion regulation strategies, and were expansive in terms of parenting style and perceived campus atmosphere. Conclusion Schools and mental health service departments can reduce the risk of psychological crisis by optimizing cognitive reappraisal and reducing expressive suppression, improve the level of psychological crisis by strengthening positive family interaction and blocking negative parenting style, and maintain the mental health level of college students by building a supportive campus environment and alleviating high pressure.

Primary liver cancer is a highly malignant tumor of the digestive tract, charac-terized by an insidious onset and frequently accompanied by local progression or distant metastasis. Although surgical resection is typically the optimal treatment for patients with locally resectable tumors, the major challenge in achieving long-term survival prognosis lies in the high postoperative recurrence rate. Due to the substantial heterogeneity and complexity of primary liver cancer, a multimodal comprehensive treatment approach involving surgical resection, systemic therapy ( e.g., targeted therapy, chemotherapy, immunotherapy), and/or local treatment is commonly employed. As research regarding primary liver cancer continues to progress, it becomes crucial for surgical oncologists to acquire a deep understanding and proficiency in the latest surgical diagnostic and treatment methods, along with optimal patient selection and management strategies. The authors aim to comprehensively elaborate on the latest practice guidelines for surgically treatment of primary liver cancer and systematically outline the key points in evaluating primary liver cancer, primarily focusing on hepatocellular carcinoma and intrahepatic bile duct carcinoma, and offer pertinent recommendations for clinical treatment, thus providing robust evidence in the clinical management and decision-making for patients with primary liver cancer.

Objective:To investigate the relationship between the cerebral small vascular disease (CSVD) total burden and the imaging markers and the degree of unilateral middle cerebral artery (MCA) stenosis.Methods:The study was a cross-sectional study. Clinical and imaging data of patients with chronic unilateral MCA stenosis who underwent multimodal MRI from October 2015 to January 2019 in the First Medical Center of PLA General Hospital were retrospectively analyzed. A total of 261 patients were included, 187 males and 74 females. According to the degree of MCA stenosis, the patients were divided into 102 cases in severe stenosis-occlusion group (stenosis degree ≥70%) and 159 cases in mild-moderate stenosis group (stenosis degree <70%). CSVD imaging marker scores (including white matter hyperintensity, perivascular space, cerebral microbleed, and lacune of presumed vascular origin) were assessed according to the ?standards for reporting vascular changes on neuroimaging 1 in the 2 groups, and the CSVD total burden score was calculated. Mann-Whitney U test was used to compare the indicators between the two groups, and the CSVD total burden score and imaging marker scores were ultimately included in a multifactorial binary logistic regression to assess the association of CSVD imaging markers with severe stenosis-occlusion of the MCA after adjusting for vascular risk factors (age, gender, drinking, smoking, hypertension, hyperlipidemia, atrial fibrillation and coronary heart disease). Results:There were significant differences in the CSVD total burden, centrum semiovale perivascular space and lacune of presumed vascular origin score between the mild-to-moderate stenosis group and the severe stenosis-occlusion group (all P<0.05), and none of the differences in the remaining imaging marker scores were statistically significant (all P>0.05). Multivariate binary logistics regression analysis showed CSVD total burden score ( OR=1.300, 95% CI 1.047-1.613, P=0.017), centrum semiovale perivascular space score ( OR=2.099, 95% CI 1.540-2.860, P<0.001) and lacune of presumed vascular origin score ( OR=2.609, 95% CI 1.294-5.261, P=0.007) were independent associated with severe stenosis-occlusion of MCA. Conclusion:The higher CSVD total burden score, centrum semiovale perivascular space score and lacune of presumed vascular origin score are associated with severe stenosis-occlusion of MCA.

Objective To compare the efficacy of TightRope loop plate and Endobutton plate in the treatment of acromioclavicular joint dislocation.Methods A retrospective analysis was conducted on 94 patients with acromioclavicular joint dislocation who were treated at this center from March 2021 to February 2023.They were divided into two groups based on different admission date.The Group E(n =47)received Endobutton plate treatment between March 2021 and February 2022,while the Group T(n =47)received TightRope loop plate treatment between March 2022 and February 2023.At the last follow-up,the perioperative indicators,Visual Analogue Scale(VAS),Constant-Murley shoulder joint function scores,and surgical complications were compared between the two groups.Results The surgical time,intraoperative bleeding,incision length,and VAS scores at 7 days after surgery in the Group T were shorter or lower than those in the Group E(P<0.05).There were no statistical differences in the incidence of perioperative nerve injury,internal fixation displacement,clavicle fracture,vascular injury,and infection between the two groups(P>0.05).The subjective and objective scores of Constant-Murley shoulder joint function in both groups at9 months after surgery showed significant improvement compared to preoperative scores(all P =0.000).There was no significant difference in the subjective and objective scores of Constant-Murley shoulder joint function between the two groups at 9 months after surgery(P>0.05).Conclusions The treatment of acromioclavicular joint dislocation with TightRope loop plate ot or Endobutton plate has a significant effect and can effectively improve shoulder joint function.Compared with Endobutton plate,use of TightRope loop plate has minor surgical trauma,less bleeding,and significantly reduced postoperative pain,being more conducive to early functional exercise for patients.

ObjectiveThe lung mesenchymal stem cells （LMSCs） induced by D-galactose （D-gal） were intervened by Wenfei Huaxian decoction-containing serum to explore the mechanism of Wenfei Huaxian decoction in delaying the senescence of LMSCs through the nicotinamide phosphoribosyltransferase/silent information regulator 1 （NAMPT/SIRT1） signaling pathway. MethodWenfei Huaxian decoction-containing serum was prepared. LMSCs were isolated by gradient density centrifugation， and they were cultured and identified in vitro. The senescence model in vitro was established by stimulating cells via D-gal for 24 h. LMSCs cells were modeled after being treated with different volume fractions （5%， 10%， 20%， 40%， and 80%） of Wenfei Huaxian decoction-containing serum for 24 h， and the cell proliferation level was detected by methyl thiazolyl tetrazolium （MTT） method. The cells were randomly divided into blank serum group， model group， and high， medium， and low dose groups of Wenfei Huaxian decoction-containing serum. Senescence-associated β-galactosidase （SA-β-gal） staining was used to detect the senescence of LMSCs in each group. The content of NAD + was detected by colorimetry. The levels of senescence-associated factors （p16 and p53）， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） in cell culture supernatant were detected by enzyme-linked immunosorbent assay （ELISA）. Western blot was used to detect the relative expression of senescence-associated proteins and NAMPT/SIRT1 signaling pathway-related proteins. ResultCompared with the blank serum group， the proliferation of LMSCs was significantly inhibited after D-gal stimulation for 24 h （P<0.01）. Compared with the model group， the proliferation of LMSCs could be promoted after intervention with the corresponding Wenfei Huaxian decoction-containing serum （P<0.05， P<0.01）. Compared with the blank serum group， the SA-β-gal staining of LMSCs in the model group after D-gal stimulation was enhanced， and the content of NAD⁺ was increased （P<0.01）. The expression levels of senescence factors p16 and p53， as well as SASP pro-inflammatory factors IL-6 and TNF-α in the cell culture supernatant， were significantly increased （P<0.01）. The expression of senescence-associated proteins p16， p21， and p53 increased （P<0.01）， and the protein expression of NAMPT， SIRT1， peroxisome proliferator-activated receptor γ coactivator 1α （PGC-1α）， and forkhead box family transcription factor O1 （FoxO1） decreased （P<0.01）. Compared with the model group， the SA-β-gal staining of LMSCs in each group of Wenfei Huaxian decoction-containing serum was significantly reduced， and the content of NAD⁺ was decreased （P<0.01）. The senescence factors （p16 and p53） and inflammatory factors （IL-6 and TNF-α） in the cell culture supernatant were significantly decreased （P<0.01）. The expression of senescence-associated proteins （P16， P21， and P53） decreased （P<0.05， P<0.01）. The protein expressions of NAMPT， SIRT1， PGC-1α， and FoxO1 were significantly up-regulated （P<0.05， P<0.01）. ConclusionWenfei Huaxian decoction can alleviate senescence and inflammatory response damage of D-gal-induced LMSCs， and its mechanism may be related to the regulation of the NAMPT/SIRT1 signaling pathway.

Objective To investigate the mechanism and protective effect of Humanin(HN)on rotenone(Rot)-induced toxic damage for dopamine neurons.Methods The Rot-poisened PC12 cell model was constructed,and the control group,the Rot poisening group,the HN pretreated Rot poisening group,and the HN treatment group were set up.ELISA was used to detect the content of HN inside and outside of Rot-infected cells,CCK-8 assay was used to detect cell viability,and ATP detection kit was used to detect the intracellular ATP content.Dichloro-dihydro-fluorescein diacetate(DCFH-DA)assay was used to detect the level of reactive oxygen species(ROS)in cells.Western blotting was performed to detect the expression level of mitochondrial autophagy regulatory proteins Pink1,Parkin,p62,LC3,mitochondrial biogenesis regulatory protein PGC1α,division/fusion regulatory proteins OPA1,MFN2,DRP1,p-DRP1 and antioxidant stress regulatory proteins Keap1 and Nrf2.HBAD-mcherry-EGFP-LC3 adenovirus transfected cells was used to observed the number of autophagosomes and autophagolysosomes.Results The results showed that the intracellular concentration of HN in PC12 in the Rot poisening group was significantly higher than that in the control group(P＜0.05);Compared with the control group,the Rot poisening group had significantly decreased activity of PC12 cells,decreased ATP content and increased production of ROS.After the poisen of Rot in PC12 cells,the expression of Pink1 and p-Parkin,the ratio of LC3Ⅱ/LC3Ⅰ and the expression of p-DRP1 in mitochondrial fusion protein was increased,while the expression of p62,the expression of mitochondrial biogenesis protein PGC1 α,mitochondrial fusion proteins MFN2 and OPA1,and antioxidant stress proteins Keap1 and Nrf2 were decreased(all P＜0.05).The number of autophagosomes and autophagolysosomes in PC12 cells in the Rot poisening group was higher than that in the control group(P＜0.05),and HN pretreatment(20 μmol/L)could significantly improve the changes mentioned above caused by Rot poisening(P＜0.05).Conclusion HN ameliorates Rot-induced toxic damage for dopamine neurons by inhibiting mitophagy and mitochondrial division and promoting mitochondrial biogenesis and fusion,and anti-oxidative stress.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.