Objective: To explore the core features of trait aggression in children and adolescents, so as to provide a theoretical basis for behavioral interventions targeting the central psychological characteristics of aggression in children and adolescents. Methods: From March to May 2020, a simple random convenience sampling method was employed to recruit 39 165 students from grades 4 to 12 in Sichuan, Chongqing, Guizhou, and Shandong. Data were collected via online questionnaires, with all participants completing the Chinese Version of the Aggression Questionnaire. Psychometric network analysis was utilized for data processing. Results: Trait aggression among Chinese children and adolescents was at a moderately low level. The core nodes of the network structure included physical aggression [if someone intentionally causes trouble for me, I will hit them severely (AGG6); if someone hits me, I will retaliate (AGG11)] and self aggression [When I am very irritable, I think of hurting myself (AGG5); when I am in a bad mood, I engage in behaviors that harm my health, such as overeating (AGG25)]. Across grade levels, core nodes primarily originated from the anger dimension [When I m angry, I feel like a powder magazine that could explode at any moment (AGG13); I can t control my temper (AGG18); I am prone to getting angry when I see things that are not pleasing to the eye (AGG23); I will get angry for no reason (AGG27)]. Except for grades 7 and 9, core nodes in other grades included the verbal aggression dimension [I am prone to arguments with people (AGG22)]. Before grade 8, core nodes incorporated the self aggression dimension (AGG 5, AGG 25); after grade 8, core nodes included the physical aggression dimension [AGG 6, AGG 11, I fight slightly more than others (AGG16), and if people around me make things difficult for me to a certain extent, I will fight with them (AGG26)]. No statistically significant differences were found in the trait aggression network structures across grades, genders, or within gender comparisons of different grades. Conclusion These findings broaden our understanding of aggression in children and adolescents, suggesting that behavioral interventions can effectively reduce aggressive behaviors in this population.

Objective:Based on bioinformatics,new immune-related LncRNAs related to the prognosis of gastric cancer were screened,and a prognostic risk model of immune-related LncRNA was further constructed,in order to be used as a new indicator for early diagnosis and prognostic status of gastric cancer.Methods:The gastric cancer transcriptome data and corresponding clinical prog-nosis data were downloaded from multiple data platforms,and the immune-related LncRNAs of gastric cancer were screened by bioin-formatics methods.Cox regression analysis was used to screen LncRNAs related to immune prognosis in gastric cancer,and LncRNAs related to immune prognosis with independent prognostic significance were identified to construct a prognostic risk model,and the risk score of each patient was calculated.Patients were divided into low-risk and high-risk groups according to the cutpoint.Kaplan-Meier analysis was performed for survival analysis and survival curves were drawn,nomograms were drawn and internal validation was per-formed,and univariate and multivariate Cox regression analysis was performed to analyze the relationship between risk scores and clin-icopathological characteristics and survival prognosis of gastric cancer patients.Results:Three immune prognosis-related LncRNAs(UCA1,MIR4435-1HG,RP11-617F23.1)were identified by Cox regression analysis,and a predictive scoring model was constructed to divide the patients into high-risk group and low-risk group according to the prognosis score.There was a statistically significant dif-ference in the prognosis of patients between the two groups(P<0.05).The multivariate Cox regression analysis risk score was an inde-pendent risk factor for the prognosis of gastric cancer,and the internal verification of the nomogram showed good reliability.Conclu-sion:Three immune-related LncRNAs in gastric cancer are significantly correlated with the prognosis of gastric cancer patients,and the predictive scoring model constructed based on them can effectively predict the prognosis and can be used as their independent prog-nostic biomarkers.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.

Background:Previous studies have proved that neutrophil gelatinase-associated lipocalin(NGAL)plays an important role in the progression of Crohn's disease(CD),and may serve as a potential biomarker for disease activity prediction,severity assessment,treatment response evaluation and prognosis monitoring.However,the diagnostic value of NGAL in perianal fistulizing Crohn's disease(pfCD)is still unclear.Aims:To investigate the serum level of NGAL and its diagnostic value in patients with active pfCD.Methods:A total of 66 patients diagnosed as pfCD from July 2021 to June 2023 at Longhua Hospital,Shanghai University of Traditional Chinese Medicine were enrolled,including 36 active pfCD patients and 30 inactive pfCD patients.The disease activity and perianal fistula activity were assessed by Crohn's disease activity index(CDAI)and perianal disease activity index(PDAI),respectively.Serum NGAL,fecal calprotectin(FC),C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),as well as CDAI score and PDAI score were compared between the active and inactive pfCD patients,and the correlations of NGAL with the other parameters in active pfCD patients were analyzed.ROC curve was drawn to evaluate the values of serum NGAL,FC,CRP and ESR for diagnosis of active pfCD.Results:The serum NGAL,FC,CRP,ESR,CDAI score and PDAI score in active pfCD patients were significantly higher than those in inactive pfCD patients(all P＜0.001).NGAL was positively correlated with FC(r=0.64,P＜0.001),CRP(r=0.55,P＜0.001),ESR(r=0.53,P＜0.001),CDAI score(r=0.59,P＜0.001)and PDAI score(r=0.54,P＜0.001)in active pfCD patients.The optimal cut-off values of NGAL,FC,CRP and ESR were 220.5 μg/L,146.0 μg/g,7.9 mg/L and 23.5 mm/h,respectively,for the diagnosis of active pfCD,and the area under the curve were 0.922(95％CI:0.850-0.995),0.888(95％CI:0.806-0.970),0.853(95％CI:0.763-0.944)and 0.830(95％CI:0.731-0.930),respectively.Conclusions:Serum NGAL level is associated with the disease activity of pfCD,and can be used as a non-invasive biomarker for the clinical diagnosis of active pfCD.

Objective: Based on 3D printing technology, explore the precision of a perforator vessel location guide plate for fibular musculocutaneous flaps before the transplantation of fibular osteocutaneous flaps and evaluate its application effects. Methods: This study was reviewed and approved by the ethics committee, and informed consent was obtained from the patients. From May 2019 to October 2022, 14 patients with jaw defects who needed to undergo fibular perforator flap transplantation at the First Affiliated Hospital of Xinjiang Medical University were selected. For the seven patients in the guide plate group, CTA was combined with Mimics software to reconstruct both lower limbs, and the perforator vessel positioning guide for locating perforator vessels was designed; the two ends of the guide plate were designed as fixed ends, with the upper end fixed to the knee joint and the lower end fixed to the ankle joint, and the guide plate was fabricated by a 3D printer. For the seven patients in the control group, a conventional handheld Doppler probe was used for perforator vessel location. The average operation time, bleeding volume, recovery time, deviation of perforator vessel location, postoperative flap-related complications, postoperative donor site shape satisfaction, and lower extremity functional scale (LEFS) score were recorded. SPSS 25.0 software was used for statistical analysis. Results: The average operation time, bleeding volume, recovery time, deviation of perforator vessel location and postoperative donor site shape satisfaction were significantly better in the guide plate group than in the control group (P<0.05); moreover, the differences in postoperative flap-related complications and LEFS scores were not statistically significant (P>0.05). Conclusion Based on 3D printing technology, fibular musculocutaneous flap perforator vessels can be more accurately located using a guide plate and the knee and ankle as fixed points, and this method can effectively stabilize the guide position, prevent soft tissue offset, and improve positioning accuracy and thus deserves to be generalized.

Femoral intertrochanteric fracture is one of the common types of fractures in the elderly. With the general improvement of medical and living standards, the number of elderly people is increasing, and the problem of osteoporosis has also become relatively prominent. Therefore, low violence can usually cause fractures in this area of the elderly, which has a significant negative impact on the quality of life of elderly patients. With the further development of medical technology and internal fixation materials, the emergence of proximal femoral nail antirotation(PFNA) has greatly improved the treatment effect of femoral intertrochanteric fractures in elderly patients. However, with the increasing number of patients treated, internal fixation failures have gradually been reported. In recent years, proximal femoral biomimetic intramedullary nail(PFBN) has been reported to have good clinical efficacy. Therefore, this article mainly elaborates on the theoretical basis, design characteristics, biomechanics, and clinical efficacy research of PFBN, providing more reference for the clinical treatment of femoral intertrochanteric fractures in elderly patients in the future.

The discussion on the connotation of children’s subjectivity is not only a response to the lack of children’s subjectivity at the current stage of health management, but also a reference for children’s medical science popularization. Based on the perspective of social critical theory, this study used empirical research methods to review the "Dream Medical College" project of Children’s Hospital of Fudan University. The current situation and influencing factors of health management experience of 1 520 children participating in the "Dream Medical College" project were analyzed. The study showed that 96.35% of 1 316 subjects had diagnosis and treatment experience in specialized hospitals, and the overall negative emotional performance was at a low level (0~12 points). There was significant correlation between diagnosis and treatment, invasive experience and children’s emotional performance (P<0.05). The study revealed that the diagnosis and treatment field is the main practice place of children’s health management, while the subjective of children with different diagnosis and experience perform significantly different. Children over 4 years old have better language anxiety than physical anxiety when receiving diagnosis and treatment. Although medical science popularization is an important practical form of children’s health management, it lacks the science popularization content of invasive diagnosis and treatment and emotional management, and creative popular science form is more suitable for children with long-term and frequent diagnosis and treatment experience.

Objective:To establish a nomogram model based on elastic imaging parameters and ultrasound image features, and evaluate its predictive value in central lymph node metastasis (CLNM) in papillary thyroid carcinoma (PTC) .Methods:The clinical data of 168 patients (the research group) with papillary thyroid carcinoma who underwent thyroid surgery in our hospital from Jan. 2019 to Dec. 2021 were retrospectively collected, including gender, age, ultrasound elastography parameters (elasticity ratio, blue area ratio), and ultrasound examination indicators (nodule diameter, nodule number, internal echo, border, edge, aspect ratio, microcalcification, capsule invasion). Another 150 patients who underwent thyroid surgery in our hospital during the same period were selected as the validation group.According to the results of postoperative pathological examination, the the research group were divided into two groups: 64 cases (38.10%) of CLNM and 104 cases (61.90%) of non-CLNM. Binary logistic regression analysis was used to explore the influencing factors of CLNM in PTC patients, and a nomogram model based on elastic imaging parameters and ultrasound image features was established. The nomogram model was drawn to predict the receiver operating characteristic (ROC) curve of CLNM in PTC patients.Results:There were statistically significant differences in nodule diameter, edge, microcalcification, capsule invasion, blue area ratio, and elasticity ratio ( P<0.05). Most of the nodules in the CLNM group were ≥10 mm in diameter, with uneven margins, an aspect ratio of <1, microcalcifications and capsular invasion. Logistic regression analysis showed that nodule diameter, capsule invasion, blue area ratio and elastic ratio were risk factors for CLNM ( P<0.05). The AUC of the combined detection was 0.857 (0.777-0.937), and the sensitivity and specificity were 78.1% and 86.5%, respectively, and the AUC and sensitivity were significantly higher than the individual detection of each index ( P<0.05). In the research group, the sensitivity and specificity of the ultrasound parameter prediction model in predicting CLNM were 81.25% (52/64) and 84.62% (88/104), respectively. In the validation group, the sensitivity and specificity of the ultrasound parameter prediction model in predicting CLNM were 79.17% (38/48) and 85.29% (87/102), respectively. Conclusion:Elastography parameters (blue area ratio, elasticity ratio) and ultrasound image features (nodule diameter, capsular invasion) are the influencing factors of CLNM in PTC patients, and the combined prediction based on the above four indicators has good application value.

Objective:To investigate the associated factors of depressive symptoms among patients with neo-plasms.Methods:Nationwide(excluding Hong Kong,Macao,and Taiwan),30 505 residents were selected by a combination of stratified sampling and quota sampling according to the proportion of the seventh national population census.Patient Health Questionnaire-9(PHQ-9),General Anxiety Disorder-7(GAD-7),self-made questionnaire,and simplified perceived social support scale used to evaluate depressive symptoms,anxiety symptoms,behaviors,and perceived social support among patients with neoplasms.Results:Totally 359(1.2％)patients with self-repor-ted clinically diagnosed neoplasms were included,of which 151(42.1％)patients with malignant neoplasms and 208(57.9％)patients with benign neoplasms.The detection rate of depressive symptoms in patients with neo-plasms was 76.6％.Less than three days of walking for more than 10 minutes per day in the past week(OR=6.63),4-6 days of walking for more than 10 minutes per day in the past week(OR=5.00),the low(OR=4.80)or medium(OR=3.06)overall sleep quality,the lower perceived friend support(OR=4.66),and anxiety symp-toms(OR=1.74)among patients with neoplasms were risk factors for depressive symptoms.Conclusion:Patients with neoplasms generally might be at a high risk of depressive symptoms,especially for those patients with less ex-ercise,poor sleep quality,and low perceived social support.

Objective To analyze the current research application status and hotspots of nanoparticles in the treatment of non-small cell lung cancer (NSCLC) and predict the future development trend. Methods The Web of Science database was searched for literatures on nanoparticles use in the treatment of NSCLC from inception to November 2022. CiteSpace, VOSviewer and literature measurement analysis online platform (https://bibliometric.com/) were used for the visual analysis of the number of documents, source journals, authors, organizations, countries and keywords. Results A total of 742 English literatures were included. The results showed that the number of published literatures increased year by year from 2011 and reached the peak in 2020. Researches on nanoparticles and NSCLC treatment were mainly concentrated in China, the United States, India and Japan. China is a major research country in this field, but it lacked cooperation with other countries and related institutions. Among numerous research institutions, the Chinese Academy of Sciences was the authoritative and backbone force in this research field, with the number of published literatures ranking first and the research achievements outstanding. The keyword analysis found that "poly lactic-co-glycolic acid nanoparticles (PLGA NPs)" and "photothermal therapy" had become the latest breakout words since 2018. Moreover, the occurrence frequency of related keywords such as "drug delivery" increased significantly, indicating that the application of PLGA NPs in photothermal therapy might be the current research hotspot and future development trend of NSCLC treatment. Conclusion Currently, the domestic research on the treatment of nanoparticles and NSCLC is in a leading position in the world. The organic combination of nanoparticles with different materials and other NSCLC therapies is expected to improve the prognosis of NSCLC patients. In the future, attempts to develop nanoparticles with different sources and structures and combined with photothermal therapy for the treatment of NSCLC may become a research hotspot of nanoparticles in the treatment of NSCLC.