BackgroundThe violent aggressive behaviors of patients with schizophrenia usually have the characteristics of suddenness， unpredictability， high severity， and great difficulty in prevention. Early identification and accurate assessment of their risk of violent aggression have significant clinical significance. ObjectiveTo construct a predictive model for the violence risk in hospitalized patients with schizophrenia， to identify the key factors influencing the occurrence of violent behavior in these patients， so as to provide references for clinical precise quantitative assessment and early intervention. MethodsA total of 200 patients with schizophrenia who were hospitalized at Taiyuan Psychiatric Hospital from March 2022 to September 2024 and met the diagnostic criteria of the International Classification of Diseases， eleventh edition （ICD-11） were collected to form the modeling cohort. They were randomly divided into a training set （n=140） and a test set （n=60） at a ratio of 7∶3. Based on the least absolute shrinkage and selection operator （LASSO） regression algorithm， the feature variables were screened and dimension-reduced. The support vector machine （SVM） from machine learning was selected for model training and prediction. The discrimination efficacy of the model was evaluated by the area under the receiver operating characteristic （ROC） curve （AUC）， accuracy， precision， sensitivity， specificity， F1 value， and Brier value. ResultsLASSO regression screening identified 16 feature variables. Pearson correlation analysis revealed a positive correlation between prior violent behavior frequency and clinical psychiatric symptom scores （r=0.580， P<0.01）， a positive correlation between hospitalization compliance and current disease status （r=0.550， P=0.003）， and a positive correlation between educational level and family per capita monthly income （r=0.367， P<0.01）. The SVM model achieved an AUC of 0.853， accuracy of 0.800， precision of 0.810， sensitivity of 0.895， specificity of 0.636， F1 value of 0.850， and Brier value of 0.168. ConclusionThe SVM model has a relatively high level of applicability and overall predictive performance in the assessment of violent risk in schizophrenia patients， which is helpful for the early identification of violent risks in such patients. ［Funded by Specialized Research Project for Enhancing the Competence of Health Professionals in Taiyuan City （number， Y2023006）］

Objective:To evaluate the efficacy and safety of cord blood stem cell transplantation (CBSCT) in pediatric recipients with mucopolysaccharidosis type Ⅱ (MPS Ⅱ, Hunter syndrome).Methods:Clinical data of five male children with MPS Ⅱ who underwent CBSCT at the Department of Hematology, Children's Hospital of Soochow University between March 2018 and July 2023 were retrospectively analyzed. Post-transplantation clinical outcomes and enzymatic activity were observed. Literature was searched in the China National Knowledge Infrastructure (CNKI), Wanfang, and PubMed databases using the keywords "mucopolysaccharidosis type Ⅱ" "MPS Ⅱ" "IDS gene" and "Hunter syndrome" in both English and Chinese. Articles describing clinical manifestations, genetic diagnosis, and hematopoietic stem cell transplantation (HSCT) in MPS II were screened.Results:All five patients were male, with a median age at diagnosis of 4.3(2.5-5.5) years and a median age at transplantation of 4.6(2.8-6.5) years. At diagnosis, all exhibited coarse facial features, hepatosplenomegaly, skeletal deformities or abnormalities, abnormal head MRI findings, and Mongolian spots; four had joint stiffness, three had valvular heart disease, and two had airway obstruction, short stature, and intellectual disability. Three recipients received single-unit cord blood, and two received double-unit cord blood. Myeloablative conditioning regimens consisted of busulfan, cyclophosphamide, anti-thymocyte globulin ± fludarabine. The median neutrophil engraftment and platelet engraftment times were 19(14-21) days and 26(15-44) days, respectively. Complete donor chimerism was achieved at 1 month post-transplantation. Complications included peri-engraftment syndrome in 5 cases, acute graft-versus-host disease (GVHD) in 2 cases (1 with grade Ⅳ skin and grade Ⅱ intestinal involvement; 1 with grade Ⅱ skin involvement), limited chronic GVHD in 1 case (moderate intestinal involvement), cytomegalovirus (CMV) infection in 3 cases, Epstein-Barr virus (EBV) infection in 1 case, and capillary leak syndrome in 1 case; all were successfully managed. At the last follow-up in December 2023, all patients were alive, and enzyme activity had normalized by 3 months post-transplantation. Most clinical symptoms and signs improved; however, neurocognitive function showed no significant improvement, and some recipients exhibited progressive brain parenchymal changes on MRI. Literature review included 7 English and 5 Chinese studies, indicating that CBSCT and other HSCT modalities can improve multi-system clinical manifestations in MPS Ⅱ children, including restoration of enzyme activity, organ function improvement (such as liver and spleen shrinkage, adenoid reduction), enhanced motor function, and stabilization of neurocognitive function. Some studies suggest superior efficacy compared with enzyme replacement therapy, particularly in delaying disease progression and improving daily living abilities.Conclusion:CBSCT effectively restores enzymatic activity and improves multi-system manifestations in children with MPS Ⅱ, although its effect on neurological symptoms remains controversial. It is a safe and feasible therapeutic option for this condition.

Objective:To evaluate the improvement effect of ergonomics in the assembly position of an automotive parts production company.Methods:From February to December 2023, the assembly positions and 8 operators of an automobile brake parts production company were selected as the research objects. The Swedish Ergonomic Hazard Identification Method and rapid upper limb assessment (RULA) were used to identify and evaluate the adverse ergonomic factors of work-related musculoskeletal disorders (WMSDs) in different parts of the body before and after the improvement. Through field investigation, observation and personnel interviews, three ergonomic problems were identified that need to be solved, namely, the height of the assembly table did not match the height of the operator, the storage space for small accessories was not set reasonably, and empty boxes were difficult to be placed. Technical improvements were made by designing an adjustable height assembly table, improving the layout of the workbench, and designing a mechanical pedal automation device. Statistical analysis was performed by t-test and paired rank sum test to evaluate the effectiveness of ergonomic improvements. Results:The operation of the assembly position could be divided into 13 actions, and the time to complete 1 cycle was (83.0±2.7) s. The Swedish Ergonomic Hazard Identification Method identified 28 adverse ergonomic factors of WMSDs in different parts before improvement, and 15 adverse ergonomic factors after improvement. Before ergonomics improvement, the RULA scores were 5 to 7 points, and the risk levels of 6 workers were Ⅳ (very high risk) and 2 workers were Ⅲ (moderate risk). After ergonomics improvement, the RULA score was 4 points, and the risk level was reduced to Ⅱ (low risk). Paired rank sum test results showed that there were statistically significant differences in upper arm, A-part (upper arm, lower arm and wrist) exertion and load, A-part muscle use, neck, total score, and risk level before and after improvement ( P<0.05). Per capita productivity of assembly post was (40.1±1.4) pieces/ (person·hour) before the improvement and (44.0±1.7) pieces/ (person·hour) after the improvement, the difference was statistically significant ( t=50.35, P<0.001) . Conclusion:The ergonomic improvement measures can reduce the adverse ergonomic factors in the assembly position of an automotive parts production company, reduce the risk of WMSDs, and improve the production efficiency.

Military training represents one of the most essential activities for troops during peacetime,of which the prevention and treatment of training-induced injuries are a very important part.Recent findings of research suggest that cold atmospheric plasma(CAP)exhibits a distinctive and multifaceted superiority in terms of broad-spectrum sterilization,rapid blood coagulation and healing promotion for wounds.Consequently,CAP has good prospects of applications in diverse fields such as clinical medicine,emergency rescue and military medicine.Based on a review of the research progress in plasma medicine,the applicability of CAP in the prevention and treatment of military training injuries was discussed in this paper by focusing on the urgent issues related to military training injury,including the typical application scenarios and methods for CAP,the safety and effectiveness of plasma trauma prevention and treatment,and the key issues facing the prevention and treatment of military training injuries.

Background The power industry is characterized by typical shift work systems, with 24-hour uninterrupted work demands, high intensity and high standard job characteristics, as well as emergent task pressure, which exposes employees to the long-term dual pressure of shift work and occupational stress and may lead to occupational burnout. It not only endangers the physical and mental health of employees, but also threaten the safe and stable operation of the power system. Objective To explore the impact of shift work and occupational stress, as well as their potential interaction, on occupational burnout among employees in power enterprises. Methods From November 2024 to April 2025, cluster sampling was used to select 1378 workers from two power companies in Fuzhou. A self-designed questionnaire, the Effort-Reward Imbalance model, and the Maslach Burnout Inventory were used to investigate the participants’ general information，shift work patterns, occupational stress, and occupational burnout. Statistical analysis was conducted using SPSS 19.0 software. Chi-square test was employed for intergroup comparison. Logistic regression was used to examine the associations between shift work, occupational stress, and job burnout. The multiplicative interaction and additive interaction between shift work and occupational stress on occupational burnout were evaluated. Results A total of 1378 questionnaires were distributed, and 1113 were valid questionnaires, with an effective rate of 80.77%. Among the participants, 37.92% were engaged in shift work, the positive rate of occupational stress was 29.83%, and the positive rate of occupational burnout was 55.80%. The logistic regression analysis showed that after adjusting for confounding factors, the risks of occupational burnout in the non-shift x occupational stress group and the shift x occupational stress group were 1.59 times (95%CI: 1.12, 2.27; P=0.01) and 4.07 times (95%CI: 2.56, 6.45; P<0.01) higher than that in the non-shift x non-occupational stress group. A multiplicative interaction (shift work and occupational stress b=0.75, P=0.01, OR=2.12, 95%CI: 1.18, 3.80) and an additive interaction (relative excess risk ratio=2.24, 95%CI: 0.54, 3.94; attributable fraction=0.55, 95%CI: 0.32, 0.78; interaction index=3.71, 95%CI: 1.47, 9.40) between shift work and occupational stress on job burnout were identified. Conclusion Shift work and occupational stress are risk factors for occupational burnout among employees in power enterprises, and there is a synergistic interaction between these two factors in terms of their impact on occupational burnout.

Objective:To construct a structural equation model for neck work-related musculoskeletal disorders (WMSDs) in the footwear industry and analyze the mediating effect of fatigue in the model.Methods:From November 2018 to December 2019, stratified cluster sampling was adopted to select all the workers (3565 people) from 7 footwear enterprises in Fujian Province as the research subjects. The incidence of WMSDs, fatigue and work-related condition were investigated by using the Chinese version of the Musculoskeletal Disorders Questionnaire. A structural equation model of individual factors, work type, work posture, work organization factors, and fatigue on neck WMSDs was constructed to analyze the mediating effect of fatigue among them.Results:The incidence rate of WMSDs in the neck of footwear workers was 39.6% (1413/3565) , and the incidence rate of neck fatigue was 46.6% (1662/3565) .The final structural equation model was constructed with a χ2/ df of 9.927, a goodness-of-fit index of 0.961, an adjusted goodness-of-fit index of 0.946, and a root mean square error of approximation of 0.050. Except for the χ2/ df, all other fit indicators met the standard. Individual factors and work posture factors had a direct effect on neck WMSDs, with standardized path coefficients of 0.101 and 0.077, respectively ( P<0.05) . Individual factors, work type, work posture, and work organization had indirect effects on neck WMSDs through fatigue, the standardized path coefficients of indirect effects were 0.163, 0.090, 0.206, 0.105, respectively, and the standardized path coefficients of the total effect were 0.264, 0.090, 0.282, and 0.105 respectively ( P<0.05) . The indirect effects of individual factors and work posture factors on neck WMSDs through fatigue accounted for 61.74% and 73.05% of the total effects, respectively. The standardized path coefficient of fatigue on WMSDs was 0.689 ( P<0.001) , with the highest coefficient among all paths. Conclusion:Individual factors, work type, work posture, and work organization factors are important influencing factors in the occurrence and development of neck WMSDs in the footwear industry, and fatigue plays an important mediating role in them.

Objective:To construct a predictive model for urinary tract infection in patients with cervical spine fracture based on the random forest (RF) algorithm and evaluate its predictive performance.Methods:A retrospective cohort study was conducted to analyze the clinical data of 400 patients with cervical spine fracture admitted to West China Hospital of Sichuan University from October 2020 to February 2025, including 311 males and 89 females, aged 12-87 years [(48.5±14.8)years]. According to the occurrence of urinary tract infection during hospital stay, the patients were divided into urinary tract infection group ( n=57) and non-urinary tract infection group ( n=343). General information, disease-related data, and serological laboratory indicators during hospital stay were recorded in both groups. Viriables for urinary tract infection in patients with cervical spine fracture were analyzed and identified through univariate analysis and Lasso regression analysis. Using the bootstrap method with 500 resamples, the data were randomly allocated into the training set ( n=281) and test set ( n=119) at a ratio of 7∶3. An RF prediction model for urinary tract infection in patients with cervical spine fracture was constructed in the training set and the variable importance for the model was calculated. The constructed RF prediction model was validated in the test set, with the predictive accuracy, sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve (AUC) calculated to evaluate its predictive performance. Results:Univariate analysis showed that age, body mass index (BMI), length of hospital stay, concurrent hepatic impairment, concurrent benign prostatic hyperplasia, indwelling catheterization, duration of indwelling catheterization, immunosuppressant use, fracture site, cervical spinal cord injury, Frankel grade, time from injury to surgery, red blood cell count (RBC), hemoglobin (Hb), white blood cell count (WBC), albumin (Alb), globulin (GLO), blood urea nitrogen (BUN), and C-reactive protein (CRP) were significantly associated with urinary tract infection in patients with cervical spine fracture ( P<0.05). Among them, 9 viriables screened through Lasso regression analysis were age, length of hospital stay, concurrent hepatic impairment, concurrent benign prostatic hyperplasia, indwelling catheterization, duration of indwelling catheterization, Frankel grade, time from injury to surgery, and RBC. Based on the 9 viriables, a predictive model for urinary tract infection in patients with cervical spine fracture was constructed using the RF algorithm. Based on the mean decrease in Gini coefficient in the RF model, the top 6 important variables were duration of indwelling catheterization, length of hospital stay, RBC, age, time from injury to surgery, and Frankel grade in sequence. In the test set, the model achieved a prediction accuracy of 87.4%, sensitivity of 88.2%, specificity of 82.4%, and AUC of 0.89 (95% CI 0.80, 0.93). Conclusion:The RF prediction model for urinary tract infection in patients with cervical spine fracture is constructed based on 9 predictors including duration of indwelling catheterization, length of hospital stay, RBC, age, time from injury to surgery, Frankel grade, concurrent hepatic impairment, concurrent benign prostatic hyperplasia, and indwelling catheterization, with the first 6 viriables ranked as the most important factors, and demonstrates favorable predictive performance.

Objective:To construct a structural equation model for neck work-related musculoskeletal disorders (WMSDs) in the footwear industry and analyze the mediating effect of fatigue in the model.Methods:From November 2018 to December 2019, stratified cluster sampling was adopted to select all the workers (3565 people) from 7 footwear enterprises in Fujian Province as the research subjects. The incidence of WMSDs, fatigue and work-related condition were investigated by using the Chinese version of the Musculoskeletal Disorders Questionnaire. A structural equation model of individual factors, work type, work posture, work organization factors, and fatigue on neck WMSDs was constructed to analyze the mediating effect of fatigue among them.Results:The incidence rate of WMSDs in the neck of footwear workers was 39.6% (1413/3565) , and the incidence rate of neck fatigue was 46.6% (1662/3565) .The final structural equation model was constructed with a χ2/ df of 9.927, a goodness-of-fit index of 0.961, an adjusted goodness-of-fit index of 0.946, and a root mean square error of approximation of 0.050. Except for the χ2/ df, all other fit indicators met the standard. Individual factors and work posture factors had a direct effect on neck WMSDs, with standardized path coefficients of 0.101 and 0.077, respectively ( P<0.05) . Individual factors, work type, work posture, and work organization had indirect effects on neck WMSDs through fatigue, the standardized path coefficients of indirect effects were 0.163, 0.090, 0.206, 0.105, respectively, and the standardized path coefficients of the total effect were 0.264, 0.090, 0.282, and 0.105 respectively ( P<0.05) . The indirect effects of individual factors and work posture factors on neck WMSDs through fatigue accounted for 61.74% and 73.05% of the total effects, respectively. The standardized path coefficient of fatigue on WMSDs was 0.689 ( P<0.001) , with the highest coefficient among all paths. Conclusion:Individual factors, work type, work posture, and work organization factors are important influencing factors in the occurrence and development of neck WMSDs in the footwear industry, and fatigue plays an important mediating role in them.

Objective:To construct a predictive model for urinary tract infection in patients with cervical spine fracture based on the random forest (RF) algorithm and evaluate its predictive performance.Methods:A retrospective cohort study was conducted to analyze the clinical data of 400 patients with cervical spine fracture admitted to West China Hospital of Sichuan University from October 2020 to February 2025, including 311 males and 89 females, aged 12-87 years [(48.5±14.8)years]. According to the occurrence of urinary tract infection during hospital stay, the patients were divided into urinary tract infection group ( n=57) and non-urinary tract infection group ( n=343). General information, disease-related data, and serological laboratory indicators during hospital stay were recorded in both groups. Viriables for urinary tract infection in patients with cervical spine fracture were analyzed and identified through univariate analysis and Lasso regression analysis. Using the bootstrap method with 500 resamples, the data were randomly allocated into the training set ( n=281) and test set ( n=119) at a ratio of 7∶3. An RF prediction model for urinary tract infection in patients with cervical spine fracture was constructed in the training set and the variable importance for the model was calculated. The constructed RF prediction model was validated in the test set, with the predictive accuracy, sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve (AUC) calculated to evaluate its predictive performance. Results:Univariate analysis showed that age, body mass index (BMI), length of hospital stay, concurrent hepatic impairment, concurrent benign prostatic hyperplasia, indwelling catheterization, duration of indwelling catheterization, immunosuppressant use, fracture site, cervical spinal cord injury, Frankel grade, time from injury to surgery, red blood cell count (RBC), hemoglobin (Hb), white blood cell count (WBC), albumin (Alb), globulin (GLO), blood urea nitrogen (BUN), and C-reactive protein (CRP) were significantly associated with urinary tract infection in patients with cervical spine fracture ( P<0.05). Among them, 9 viriables screened through Lasso regression analysis were age, length of hospital stay, concurrent hepatic impairment, concurrent benign prostatic hyperplasia, indwelling catheterization, duration of indwelling catheterization, Frankel grade, time from injury to surgery, and RBC. Based on the 9 viriables, a predictive model for urinary tract infection in patients with cervical spine fracture was constructed using the RF algorithm. Based on the mean decrease in Gini coefficient in the RF model, the top 6 important variables were duration of indwelling catheterization, length of hospital stay, RBC, age, time from injury to surgery, and Frankel grade in sequence. In the test set, the model achieved a prediction accuracy of 87.4%, sensitivity of 88.2%, specificity of 82.4%, and AUC of 0.89 (95% CI 0.80, 0.93). Conclusion:The RF prediction model for urinary tract infection in patients with cervical spine fracture is constructed based on 9 predictors including duration of indwelling catheterization, length of hospital stay, RBC, age, time from injury to surgery, Frankel grade, concurrent hepatic impairment, concurrent benign prostatic hyperplasia, and indwelling catheterization, with the first 6 viriables ranked as the most important factors, and demonstrates favorable predictive performance.

Objective:To evaluate the efficacy and safety of cord blood stem cell transplantation (CBSCT) in pediatric recipients with mucopolysaccharidosis type Ⅱ (MPS Ⅱ, Hunter syndrome).Methods:Clinical data of five male children with MPS Ⅱ who underwent CBSCT at the Department of Hematology, Children's Hospital of Soochow University between March 2018 and July 2023 were retrospectively analyzed. Post-transplantation clinical outcomes and enzymatic activity were observed. Literature was searched in the China National Knowledge Infrastructure (CNKI), Wanfang, and PubMed databases using the keywords "mucopolysaccharidosis type Ⅱ" "MPS Ⅱ" "IDS gene" and "Hunter syndrome" in both English and Chinese. Articles describing clinical manifestations, genetic diagnosis, and hematopoietic stem cell transplantation (HSCT) in MPS II were screened.Results:All five patients were male, with a median age at diagnosis of 4.3(2.5-5.5) years and a median age at transplantation of 4.6(2.8-6.5) years. At diagnosis, all exhibited coarse facial features, hepatosplenomegaly, skeletal deformities or abnormalities, abnormal head MRI findings, and Mongolian spots; four had joint stiffness, three had valvular heart disease, and two had airway obstruction, short stature, and intellectual disability. Three recipients received single-unit cord blood, and two received double-unit cord blood. Myeloablative conditioning regimens consisted of busulfan, cyclophosphamide, anti-thymocyte globulin ± fludarabine. The median neutrophil engraftment and platelet engraftment times were 19(14-21) days and 26(15-44) days, respectively. Complete donor chimerism was achieved at 1 month post-transplantation. Complications included peri-engraftment syndrome in 5 cases, acute graft-versus-host disease (GVHD) in 2 cases (1 with grade Ⅳ skin and grade Ⅱ intestinal involvement; 1 with grade Ⅱ skin involvement), limited chronic GVHD in 1 case (moderate intestinal involvement), cytomegalovirus (CMV) infection in 3 cases, Epstein-Barr virus (EBV) infection in 1 case, and capillary leak syndrome in 1 case; all were successfully managed. At the last follow-up in December 2023, all patients were alive, and enzyme activity had normalized by 3 months post-transplantation. Most clinical symptoms and signs improved; however, neurocognitive function showed no significant improvement, and some recipients exhibited progressive brain parenchymal changes on MRI. Literature review included 7 English and 5 Chinese studies, indicating that CBSCT and other HSCT modalities can improve multi-system clinical manifestations in MPS Ⅱ children, including restoration of enzyme activity, organ function improvement (such as liver and spleen shrinkage, adenoid reduction), enhanced motor function, and stabilization of neurocognitive function. Some studies suggest superior efficacy compared with enzyme replacement therapy, particularly in delaying disease progression and improving daily living abilities.Conclusion:CBSCT effectively restores enzymatic activity and improves multi-system manifestations in children with MPS Ⅱ, although its effect on neurological symptoms remains controversial. It is a safe and feasible therapeutic option for this condition.