Objective: To explore the relationship between aggression and category perception of angry expression in reform school students under social exclusion, so as to provide reference for the reform school students mental health promotion. Methods: In May 2023, 144 students were randomly selected from a reform school in Guizhou Province, and were divided into high and low aggression groups(77 and 67 students) by Aggression Questionnaire. Cyberball game was used to induce social exclusion and acceptance, subjects were divided into high aggressive exclusion group ( n =42), high aggressive acceptance group ( n =35), low aggressive exclusion group ( n =37) and low aggressive acceptance group ( n =30). All the participants completed the discrimination and identification tasks of category perception paradigm, and the relationship between aggression and category perception of angry expression of reform school students under social exclusion was analyzed by using category turning point, identification curve and analysis of variance. Results: The total score of aggression(97.34±8.00) and four dimensions (physical aggression: 29.75± 4.61, verbal aggression:17.19±2.58, anger:22.29±3.66, hostility:28.10±3.54) in the high aggression group were higher than those in the low aggression group(74.10±9.02，21.09±4.98，14.30±2.66，17.16±3.83，21.55±3.88), and the differences were statistically significant ( t =16.38, 10.85, 6.62, 8.20, 10.59, P <0.01). For identifying the turning point of the fear anger continuum, the social exclusion group（2.58±0.07）was significantly smaller than the social acceptance group（2.79±0.07）( F =4.85, η 2=0.07, P < 0.05 ）, and the social exclusion group had a tendency to shift the category boundary to the fear side. For identifying the slope at the angry happiness continuum category boundary curve, the high aggression group (0.63±0.03) was significantly higher than the low aggression group (0.53±0.03)( F =5.38, η 2=0.08, P <0.05). In the fear anger continuum,the high aggression group[(694.86± 78.29 )ms] reacted more quickly than the low aggression group[(660.70±79.86)ms]( F =5.08, η 2=0.05， P <0.05) In the angry happiness continuum, there was no statistical significance of social exclusion and aggression( P >0.05). Conclusions The suggests that social exclusion can lead to hostility attribution bias in individuals, while aggression can make individuals more sensitive to angry expression. The mechanisms by which social exclusion and aggression affect expression category perception are independent rather than interactive. The society should give tolerance and acceptance to reform school students, reduce exclusion and discrimination, and the reform education department should correct the aggressive behavior of reform school students and promote their mental health.

Purpose To explore the molecular features of diffuse large B-cell lymphoma(DLBCL)with high expression of MYC.Methods The clinical data of 45 cases of DLBCL were collected.Immunohistochemical EnVision method was used to classify the patients into the group with high expression of MYC and the group with low expression of MYC.All samples were subjected to DNA targeted sequencing and molecular typing was performed using the LymphGen online tool.Cellular origin was determined by using the Lymph2Cx method.The correlation be-tween MYC overexpression and clinicopathological parameters was analyzed by the x2 test and Fisher precise test.Survival curves were drawn and survival-related factors were analyzed u-sing Cox univariate and multivariate regression.ResultsCases were classified into DLBCL with high expression of MYC(n=17)and DLBCL with low expression of MYC(n=28).Com-pared to the group with low expression of MYC,the group with high expression of MYC had more PIM1,MYD88,CD79B,CD58 and PRDM1 mutations(76.5％vs 28.6％,70.6％vs 32.1％,58.8％vs28.6％,29.4％vs3.6％,29.4％vs 3.6％,P＜0.05),MCD were more frequently found(58.8％vs 10.7％,P=0.001),GCB were rarely found(17.6％vs 50.0％,P=0.030).Overall survival was significantly shorter in DLBCL with high expression of MYC(P＜0.05).Cox multi-factorial analysis showed that age was an independent prognostic factor for DLBCL(P＜0.05).Conclusion Patients with high expression of MYC were frequently characterized as MCD and ABC,and PIM1,MYD88,CD79B,CD58 and PRDM1 muta-tions were common.Patients with high expression of MYC had a poorer prognosis.

Objective To investigate the efficacy and safety of intravenous thrombolysis with low-dose and standard-dose recombinant tissue plasminogen activator(rt-PA)in the elderly patients(aged over 80 years)with acute ischemic stroke(AIS).Methods A total of 201 elderly patients with AIS treated at Tianjin Fourth Central Hospital from February 2019 to February 2023 were prospectively included and randomly assigned to the rt-PA low-dose group(n=93,0.6 mg/kg)and rt-PA standard-dose group(n=108,0.9 mg/kg).The incidence of intra-cranial hemorrhage,symptomatic intracranial hemorrhage,fatal intracranial hemorrhage,neurologic deterioration within 7 days and mortality within 90 days were observed to evaluate the safety.The neurologic improvement rate and good prognosis rate at 90 days were used to evaluate the effectiveness.A stratified analysis of 90-day outcomes was performed based on stroke severity and age.Results The incidence of intracranial hemorrhage,symptomatic intracranial hemorrhage and fatal intracranial hemorrhage within 7 days in rt-PA low-dose group was lower than that in rt-PA standard-dose group(P＜0.05).There were no statistically significant differences between the two groups concerning the residual safety index and the effectiveness index.The 90-day good prognosis rate of moderate stroke sub-group and of≥90 years of age sub-group in rt-PA low-dose group were both higher than that of rt-PA standard-dose group(P＜0.05).Conclusions For AIS patients with moderate stroke and aged over 90 years,intravenous thrombolytic therapy with rt-PA 0.6 mg/kg is recommended.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

Objective To establish an artificial intelligence(AI)diagnostic model for the histopathologic diagnosis of extramammary Paget's disease(EMPD)and to evaluate its efficiency for the diagnosis and differential diagnosis of EMPD.Methods All non-tumor skin disease patients who underwent skin tissue biopsy in Department of Dermatology of First Affiliated Hospital of Army Medical University from September 2003 to February 2023 were recruited,and their pathological data were collected,including EMPD,Bowen's disease(BD),squamous cell carcinoma(SCC),and epidermal hyperplasia and hypertrophy.With EMPD as the main research subject,the histopathological images of BD,SCC,and non-tumor skin diseases were included in the study.The histopathological data of 4 types of diseases was classified and diagnosed by ResNet101 and DenseNet121 deep learning neural networks,and the performance of these models was evaluated.Results The AUC values of the ResNet101 diagnostic model for the diagnosis of EMPD,BD,SCC and non-tumor skin diseases on the images at x20 magnification were 0.97,0.98,1.00 and 0.96,respectively,with an accuracy of 0.925±0.011,while the AUC values on the images at x40 magnification were 1.00,0.99,1.00 and 0.97,respectively,with an accuracy of 0.943±0.017.The AUC values of the DenseNet121 diagnostic model for the diagnosis of 4 diseases on the images at x20 magnification were 0.98,0.95,0.99 and 1.00,respectively,with an accuracy of 0.912±0.034,while the AUC values on the images at x40 magnification were 0.99,0.96,1.00 and 1.00,respectively,with an accuracy of 0.971±0.012.Our results indicated that the histopathologic diagnostic model could effectively differentiate EMPD from BD,SCC and non-tumor skin diseases at low power magnification.The FLPOs of ResNet101 was 786.6 M,and the parameter was 4.5 M;The FLPOs of DensNet121 was 289.7 M,and the parameter was 0.8M.Conclusion Our AI diagnostic model is of good effectiveness in the diagnosis and differential diagnosis of EMPD.DenseNet121 is recommended as the dermatopathological diagnostic model of this study.

Objective To screen biomarkers for forensic identification of acute myocardial infarction (AMI) by non-targeted metabolomic studies on changes of urine metabolites in rats with AMI.Methods The rat models of the sham surgery group,AMI group and hyperlipidemia+acute myocardial infarction (HAMI) group were established.Ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) was used to analyze the changes of urine metabolic spectrometry in AMI rats.Principal compo-nent analysis,partial least squares-discriminant analysis,and orthogonal partial least squares-discriminant analysis were used to screen differential metabolites.The MetaboAnalyst database was used to analyze the metabolic pathway enrichment and access the predictive ability of differential metabolites.Results A total of 40 and 61 differential metabolites associated with AMI and HAMI were screened,respec-tively.Among them,22 metabolites were common in both rat models.These small metabolites were mainly concentrated in the niacin and nicotinamide metabolic pathways.Within the 95% confidence in-terval,the area under the curve (AUC) values of receiver operator characteristic curve for N8-acetyl-spermidine,3-methylhistamine,and thymine were greater than 0.95.Conclusion N8-acetylspermidine,3-methylhistamine,and thymine can be used as potential biomarkers for AMI diagnosis,and abnormal metabolism in niacin and nicotinamide may be the main causes of AMI.This study can provide reference for the mechanism and causes of AMI identification.

The purpose of this study was to explore the effect and mechanism of dihydromyricetin (DHM) on Parkinson's disease (PD)-like lesions in type 2 diabetes mellitus (T2DM) rats. The T2DM model was established by feeding Sprague Dawley (SD) rats with high-fat diet and intraperitoneal injection of streptozocin (STZ). The rats were intragastrically administered with DHM (125 or 250 mg/kg per day) for 24 weeks. The motor ability of the rats was measured by balance beam experiment, the changes of dopaminergic (DA) neurons and the expression of autophagy initiation related protein ULK1 in the midbrains of the rats were detected by immunohistochemistry, and the protein expression levels of α-synuclein (α-syn), tyrosine hydroxylase (TH), as well as AMPK activation level, in the midbrains of the rats were detected by Western blot. The results showed that, compared with normal control, the rats with long-term T2DM exhibited motor dysfunction, increased α-syn aggregation, down-regulated TH protein expression, decreased number of DA neurons, declined activation level of AMPK, and significantly down-regulated ULK1 expression in the midbrain. DHM (250 mg/kg per day) treatment for 24 weeks significantly improved the above PD-like lesions, increased AMPK activity, and up-regulated ULK1 protein expression in T2DM rats. These results suggest that DHM may improve PD-like lesions in T2DM rats by activating AMPK/ULK1 pathway.
Rats ; Animals ; Parkinson Disease ; Rats, Sprague-Dawley ; AMP-Activated Protein Kinases ; Diabetes Mellitus, Type 2 ; Autophagy-Related Protein-1 Homolog

Objective:To investigate the risk factors of postoperative recurrence of parastomal hernia repair.Methods:The clinical and follow-up data of 128 patients undergoing parastomal hernia repair at the the Central Hospital of Wuhan, Tongji Medical College of Huazhong University of Science and Technology from Jan 1, 2013 to Dec 31, 2022 was analyzed retrospectively.Results:Postoperative recurrence was confirmed in 32 patients during follow-up, and the recurrence rates were 13.8% , 24.8% and 25.0% at 1',3' and 5 years .Univariate analysis showed that body mass index (BMI) , chronic obstructive pulmonary disease (COPD), type of stoma, prophylactic stoma displacement, and surgical options were the risk factors for recurrence after parastomal hernia repair. Multiple Logistic regression analysis showed that BMI, COPD, prophylactic stoma displacement, and surgical options were independent risk factors for the recurrence after parastomal hernia ( P< 0.05). Conclusion:The occurrence of hernia recurrence after parastomal hernia repair is closely related to patients' BMI, COPD, prophylactic stoma displacement and the surgical options.

Objective: To explore the prognostic value of simple renal cyst (SRC) for adverse events in patients receiving thoracic endovascular aortic repair (TEVAR) for Stanford B aortic dissection (TBAD). Methods: This study is a retrospective cohort study. Consecutive patients receiving TEVAR for TBAD between January 2010 and December 2015 were enrolled in this study. The patients were divided into SRC group and non-SRC group. With sex and age ±2 years old as matching factors, SRC group and non-SRC group were matched by 1∶1. Collect and compare the differences of clinical data between the two groups. Adverse events were recorded through outpatient, telephone follow-up and in-hospital review. After adjusting for confounding factors, multivariate Cox regression was used to analyze the risk factors of aortic adverse events. Kaplan-Meier method was used to analyze the survival curve of SRC group and non-SRC group. Results: A total of 692 consecutive patients were recruited. Patients were divided into SRC group (n=235) and non-SRC group (n=457). After 1∶1 matching, there were 229 cases in SRC group and no SRC group respectively. The age of SRC group was (62.3±10.4) years old, 209 cases were male (91.3%), and the age of no SRC group was (62.0±10.2) years old, 209 cases were male (91.3%). Cox regression analysis showed that, after adjusting for confounding factors, comorbid SRC (HR=1.991, 95%CI: 1.090-3.673, P=0.025), TEVAR in the acute phase (HR=13.635, 95%CI: 5.969-31.147, P=0.001), general anesthesia (HR=2.012, 95%CI: 1.066-3.799, P=0.031) are independent factors of aortic-adverse events after TEVAR for TBAD. Kaplan-Meier analysis showed that the cumulative survival rate of SRC group was significantly lower than non-SRC group (log-rank P=0.031, 0.005). Conclusion: SRC is an independent predictor of aortic-related adverse events in patients following TEVAR for TBAD.
Aged ; Aortic Dissection/surgery* ; Aortic Aneurysm, Thoracic/surgery* ; Blood Vessel Prosthesis Implantation/methods* ; Endovascular Procedures/methods* ; Female ; Humans ; Kidney Diseases, Cystic/complications* ; Male ; Middle Aged ; Postoperative Complications ; Retrospective Studies ; Risk Factors ; Time Factors ; Treatment Outcome

Objective To systematically review the overall status of postoperative recurrence in patients with atypical meningiomas. Methods China National Knowledge Infrastructure,Wanfang Database,Chinese Biomedical Literature Database,VIP Database,PubMed,Embase,Web of Science,and Cochrane Library were searched for collection of the relevant literature on the recurrence of atypical meningioma from database establishment to July 2021.Two investigators independently screened the literature,extracted data,and assessed the risk of bias of the included studies,and then performed a meta-analysis by using R 5.0. Results A total of 29 studies involving 3122 patients were included in this study.The meta-analysis showed that the overall postoperative recurrence rate of atypical meningioma was 38%.The subgroup analysis showed that the tumor recurrence rate of patients ≥60 years old and<60 years old was 51% and 40%,respectively,with no significant difference.The tumor recurrence rates in male and female patients were 42% and 44%,respectively,which showed no significant difference.The recurrence rates of the patients with parasagittal meningiomas,brain tissue infiltration,Ki-67>8%,mitotic count ≥6/10 high-power fields,and tissue necrosis were 52%,47%,63%,53%,and 69%,respectively.The recurrence rate after subtotal tumor resection was as high as 58%,and the patients who received radiotherapy had higher tumor recurrence rate than that those who did not receive radiotherapy (38% vs.29%,P=0.007). Conclusions The current evidence demonstrates that atypical meningioma has a high recurrence rate after surgery.It is essential to pay more attention and take corresponding measures to improve the tumor-free survival rate of the patients.
Female ; Humans ; Male ; Meningeal Neoplasms ; Meningioma ; Middle Aged ; Neoplasm Recurrence, Local ; Postoperative Period ; Risk Factors