Objective:To Analyze the psychological behavior characteristics of young military personnel stationed in Xinjiang,providing a basis for the mental health education of military personnel.Methods:Using the Symptom Checklist-90(SCL-90)and a cluster sampling method,the mental health screening of young military personnel in Xinjiang was conducted from July to August 2024,with 2 218 valid questionnaires collected.Total scores and subscale scores of the SCL-90 were compared across demographic variables,including ethnicity,personnel categories,education level,marital status,singleton status,and urban/rural background.Results:The positive symptom rate was 1.53%(34/2218).Statistically significant differences(P＜0.05)were observed in total SCL-90 scores and subscale scores among the young military personnel with different ethnicities,personnel categories,education levels,marital statuses,singleton statuses,etc.Conclusions:To address the evolving demands of military psychological services,frontline-oriented interventions should be prioritized,leveraging the roles of psychologists and mental health officers.Institutional safeguards for basic needs,enhanced military support systems,and strengthened humanistic care are critical to improving psychological resilience among personnel,thereby bolstering combat readiness and stability.

Objective:To Analyze the psychological behavior characteristics of young military personnel stationed in Xinjiang,providing a basis for the mental health education of military personnel.Methods:Using the Symptom Checklist-90(SCL-90)and a cluster sampling method,the mental health screening of young military personnel in Xinjiang was conducted from July to August 2024,with 2 218 valid questionnaires collected.Total scores and subscale scores of the SCL-90 were compared across demographic variables,including ethnicity,personnel categories,education level,marital status,singleton status,and urban/rural background.Results:The positive symptom rate was 1.53%(34/2218).Statistically significant differences(P＜0.05)were observed in total SCL-90 scores and subscale scores among the young military personnel with different ethnicities,personnel categories,education levels,marital statuses,singleton statuses,etc.Conclusions:To address the evolving demands of military psychological services,frontline-oriented interventions should be prioritized,leveraging the roles of psychologists and mental health officers.Institutional safeguards for basic needs,enhanced military support systems,and strengthened humanistic care are critical to improving psychological resilience among personnel,thereby bolstering combat readiness and stability.

Precise management of the activity dose is a core component of the(early mobilization,EM)plan for ICU patients.However,the lack of clinical practice guidelines related to EM dose of existing programs hinders the implementation and development of EM in ICU patients to some extent.Therefore,this review focuses on 4 aspects,covering the definition of activity dose,assessment tools,the current clinical implementation status,and implications for future nursing.The aim is to systematically review the assessment tools and intervention strategies for the activity dose of EM in ICU patients,providing a reference for optimization of EM programs.

Objective:To investigate the related factors of cognitive impairment in middle-aged and old-aged patients with type 2 diabetes mellitus(T2DM).Methods:A total of 970 patients with T2DM(585 middle-aged group and 385 old-aged group)were selected from residents of a large community in Beijing from September to December 2018.The Mini-Mental State Examination(MMSE)was used to assess the cognitive func-tion.Multivariate logistic regression was used to analyze the related factors.Results:The detection rates of cognitive impairment were 12.0％and 13.5％in middle-aged and old-aged patients with T2DM,respectively.Among mid-dle-aged patients with T2DM,work(OR=0.22,95％CI:0.03-0.77)and education at the junior college or un-dergraduate level and above(OR=0.18,95％CI:0.04-0.55)were protective factors for cognitive impair-ment.Myocardial infarction(OR=4.13,95％CI:1.26-13.63)was a risk factor for cognitive impairment.Among old-aged patients with T2DM,drinking tea 1-2 times a week(OR=0.11,95％CI:0.01-0.58)and education at the junior college or undergraduate level and above(OR=0.19,95％CI:0.05-0.54)were protective factors for cognitive impairment.Stroke(OR=3.64,95％CI:1.55-8.39)and good sleep self-assessment(OR=2.75,95％CI:1.13-7.35)were risk factors for cognitive impairment.Conclusion:Cognitive impairment in middle-aged pa-tients with T2DM is related to work,education level and myocardial infarction,and cognitive impairment in old-aged patients with T2DM is related to lifestyle,education level and stroke.

Objective:To evaluate the accuracy of a self-developed extraoral scanning system based on photogrammetry technology, and to provide evidence for advancing the development and clinical application evaluation of domestically produced scanning devices.Methods:This research group developed a photogrammetry-based implant extraoral scanning system with customized scan bodies. Two distinct edentulous implant resin models were designed and three-dimensional (3D)-printed by Center of Digital Dentistry, Peking University School and Hospital of Stomatology, containing 6 (Model 1) and 8 (Model 2) abutment analogs respectively. Reference data acquisition was performed using a high-precision denture 3D scanner with scan caps mounted on the analogs. Specialized scan bodies were then mounted on the analogs for 3D positional data acquisition using both the self-developed system (experimental group) and the clinically established system (control group). Each system conducted 10 repeated scans per model. Trueness was assessed through root mean square error (RMSE), linear deviation (LD), and angular deviation (AD) relative to reference data, while precision was determined through intra-group RMSE analysis. Systematic comparisons included inter-group performance on identical models and intra-group variability across different models.Results:For Model 1, the experimental group showed statistically significant advantages over controls in intra-group RMSE [(3.10±0.71) μm vs (4.61±1.51) μm, P<0.001], reference-data RMSE [(21.48±0.60) μm vs (32.50±0.63) μm, P<0.001], linear deviation [23.64 (32.35) μm vs 44.86 (55.73) μm, P<0.001], and angular deviation [0.29° (0.29°) vs 0.23° (0.33°), P<0.001]. In Model 2, significant improvements were observed in intra-group RMSE [(4.47±1.58) μm vs (6.21±2.07) μm, P<0.001], reference-data RMSE [(38.84±0.86) μm vs (43.69±1.34) μm, P<0.001], and linear deviation [37.95 (50.68) μm vs 49.71 (58.89) μm, P<0.001]. Both groups exhibited model-dependent variability, with RMSE of precision and trueness of both groups, linear deviation of experimental group, angular deviation of control group showing statistically significant increases (all P<0.001) corresponding to abutment analog quantity. Conclusions:The self-developed scanning system demonstrates superior accuracy in 3D positional acquisition of abutment analogs compared to the contral group system, with implant number identified as a critical determinant of extraoral scanning accuracy.

Salivary gland tumor is one of the most common tumors in oral and maxillofacial regions.The diagnosis and treatment of salivary gland tumors had been a clinical characteristic project in Peking University School and Hospital of Stomatology since long time ago.Here we introduced the research pro-gress in diagnosis and treatment of salivary gland tumors during the past 10 years.Among 7 190 cases of salivary gland tumors treated in this institution,4 654 cases(64.7％)were benign,and 2 536(35.3％)were malignant,with benign:malignant ratio of 1.84∶1.Parotid was the most common loca-tion,followed by minor salivary gland and submandibular gland,while sublingular gland tumor was sel-dom seen.The proportion of minor salivary gland tumor was relatively high.Among 1 874 cases with pri-mary malignant tumors,the cases with T3 and stage Ⅲ accounted for only 9.6％and 10.3％,respec-tively,which indicated that there was shortcoming in the T classification and clinical stage formulated by Union for International Cancer Control(UICC),and further revision was required.The 5,10,and 15 year survival rates of 1 637 cases with postoperative follow-up were 93.1％,87.2％and 79.3％,respec-tively,which were much higher than those we reported 30 years ago.The improvement of treatment re-sults was related to more widely used combined treatment with surgery and postoperative radiotherapy,and the increase in patients with early stage.Adenoid cystic carcinoma was the malignant tumor with high rate of distant metastasis.The 5 and 10 year survival rates of the patients with pulmonary metastasis were 76.2％and 51.8％,respectively,which indicated that the pulmonary metastatic carcinomas developed slowly.Recurrent rate of carcinoma ex pleomorphic adenoma was 46.7％after single treatment of sur-gery,while it decreased to 27.5％after combined theraphy with surgery and radiotherapy,indicating that postoperative radiotheraphy could reduce the recurrent rate effectively.The normal myoepithelial cells had the inhibiting role in the invasion and metastasis of carcinoma ex pleomorphic adenoma.The evaluation of integrity of myoepithelial cells surrounding the tumor mass is helpful to understand the invasiveness of the tumors.The new surgical modalities such as extracapsular resection and partial sialoadenectomy were used in treatment of benign tumors of parotid gland and submandibular gland with advantages of decreased tissue damage and preservation of glandular function.Application of digital surgical techniques such as mixed reality combined with surgical navigation and real-time three-dimensional holograms in the surgical treatment of parotid gland tumors showed the benefits of more safety and precision,and less tissue da-mage.

Objective:To develop an original-mirror alignment associated deep learning algorithm for intelligent registration of three-dimensional maxillofacial point cloud data,by utilizing a dynamic graph-based registration network model(maxillofacial dynamic graph registration network,MDGR-Net),and to provide a valuable reference for digital design and analysis in clinical dental applications.Methods:Four hundred clinical patients without significant deformities were recruited from Peking University School of Stomatology from October 2018 to October 2022.Through data augmentation,a total of 2 000 three-dimensional maxillofacial datasets were generated for training and testing the MDGR-Net algorithm.These were divided into a training set(1 400 cases),a validation set(200 cases),and an internal test set(200 cases).The MDGR-Net model constructed feature vectors for key points in both original and mirror point clouds(X,Y),established correspondences between key points in the X and Y point clouds based on these feature vectors,and calculated rotation and translation matrices using singular value decomposi-tion(SVD).Utilizing the MDGR-Net model,intelligent registration of the original and mirror point clouds were achieved,resulting in a combined point cloud.The principal component analysis(PCA)algorithm was applied to this combined point cloud to obtain the symmetry reference plane associated with the MDGR-Net methodology.Model evaluation for the translation and rotation matrices on the test set was performed using the coefficient of determination(R2).Angle error evaluations for the three-dimensional maxillofacial symmetry reference planes were constructed using the MDGR-Net-associated method and the"ground truth"iterative closest point(ICP)-associated method were conducted on 200 cases in the inter-nal test set and 40 cases in an external test set.Results:Based on testing with the three-dimensional maxillofacial data from the 200-case internal test set,the MDGR-Net model achieved an R2 value of 0.91 for the rotation matrix and 0.98 for the translation matrix.The average angle error on the internal and external test sets were 0.84°±0.55° and 0.58°±0.43°,respectively.The construction of the three-dimensional maxillofacial symmetry reference plane for 40 clinical cases took only 3 seconds,with the model performing optimally in the patients with skeletal Class Ⅲ malocclusion,high angle cases,and Angle Class Ⅲ orthodontic patients.Conclusion:This study proposed the MDGR-Net association method based on intelligent point cloud registration as a novel solution for constructing three-dimensional maxillo-facial symmetry reference planes in clinical dental applications,which can significantly enhance diagnos-tic and therapeutic efficiency and outcomes,while reduce expert dependence.

To summarize the nursing experience of a patient with T-cell precursor acute lymphoblastic leukemia complicated with excessive dynamic airway collapse.Key nursing points include:efficient treatment of airway collapse to avoid causes of airway hyper responsiveness;avoiding the blockage of phlegm suppository,ensuring a safe and smooth airway;preventing the risks of hemorrhage and thrombosis,and strictly implement hospital infection prevention and control measures.After active rescue and careful nursing care,the patient was transferred back to the general thoracic surgery ward 13 days later,improved 17 days later,and was admitted to the cancer hospital for continued treatment.

Objective:To gain a understanding of the occurrence of cognitive impairment among residents in drinking water-borne endemic fluorosis (drinking water-borne fluorosis) areas, and to study its influencing factors.Methods:In March 2023, a cluster sampling method was used to select local residents aged 18 and above from the drinking water-borne fluorosis areas in Jishan County, Shanxi Province as survey subjects. General demographic data were collected through face-to-face surveys, and a random urine sample was collected once to determine urinary fluoride level. Cognitive function was assessed using the mini-mental state examination (MMSE), and the survey subjects were divided into a cognitive impairment group ( < 27 points) and a control group (27 - 30 points) based on the MMSE scores. A multiple logistic regression model and a decision tree model based on chi-squared automatic interaction detector were constructed to analyze the factors affecting cognitive impairment, and the model fitting effect was evaluated using receiver operating characteristic (ROC) curve.Results:A total of 3 301 subjects were included in the survey, including 2 081 females and 1 220 males. There were 1 515 subjects < 60 years old and 1 786 subjects ≥60 years old, with urinary fluoride level [ M ( Q1, Q3)] of 2.92 (1.78, 4.54) mg/L. There were 1 939 cases in the cognitive impairment group and 1 362 cases in the control group, with a detection rate of 58.74% (1 939/3 301) for cognitive impairment; and the differences in gender, age, education level, marital status, annual household income, alcohol consumption, smoking distribution, and urinary fluoride level between the two groups were statistically significant ( P < 0.05). The results of multiple logistic regression analysis showed that female, ≥60 years, and urinary fluoride > 4.54 mg/L were risk factors for cognitive impairment [ OR (95% CI): 1.25 (1.01, 1.54), 2.66 (2.26, 3.14), 1.32 (1.06, 1.65), P < 0.05]. Education level of primary school or above, annual household income≥12 000 yuan, and mild alcohol consumption were protective factors for cognitive impairment [ OR (95% CI): 0.15 (0.09, 0.25), 0.58 (0.48, 0.68), 0.67 (0.51, 0.87), P < 0.05]. The analysis results of the decision tree model showed that age had the greatest impact on the occurrence of cognitive impairment, followed by annual household income, education level, and urinary fluoride. The areas under the ROC curves of the multiple logistic regression and decision tree model were 0.72 and 0.70 ( P < 0.001), respectively, indicating good model fitting performance. Conclusion:The detection rate of cognitive impairment in residents of drinking water-borne fluorosis areas is relatively high, and age, annual household income, education level, and urinary fluoride are all influencing factors for occurrence of cognitive impairment.

Objective:To study the impact of fluoride exposure through drinking water on the risk of hypertension among residents in Jishan County, Shanxi Province.Methods:From March to April 2023, a cluster sampling method was used to select permanent residents aged ≥18 years and residing for ≥10 years in 12 villages in drinking water-borne endemic fluorosis areas of Jishan County, Shanxi Province as the survey subjects. A questionnaire survey, physical examination, and morning urinary fluoride level testing were conducted. The least absolute shrinkage and selection operator (Lasso) regression were used to analyze the key influencing factors of hypertension. Restricted cubic spline was used to evaluate the linear relationship between urinary fluoride and hypertension. Logistic regression was used to analyze the impact of urinary fluoride on hypertension.Results:Finally, 2 453 survey subjects were included, aged (62 ± 10) years, including 1 565 patients (63.80%) with hypertension. There were significant differences in the distribution of age, gender, education level, annual household income, body mass index (BMI), and the level and distribution of urinary fluoride between hypertension group and normal blood pressure group ( P < 0.05). The Lasso regression results showed that age, education level, BMI, and urinary fluoride were the key influencing factors of hypertension, with coefficients of 1.04, - 0.12, 0.24 and 0.01, respectively. The results of the restricted cubic spline showed that there was a linear relationship between urinary fluoride and hypertension after adjusting for age, education level, and BMI ( Poverall = 0.018, Pnonlinear = 0.482). The logistic regression results showed that after adjusting for age, education level, and BMI, urinary fluoride > 4.68 mg/L was a risk factor for hypertension ( OR = 1.42, 95% CI: 1.10 - 1.84, P = 0.007). Conclusion:High urinary fluoride is a risk factor for hypertension in drinking water-borne endemic fluorosis areas of Jishan County, Shanxi Province.