Background Neck-related work-related musculoskeletal disorders (WMSDs) are a major type of musculoskeletal disorders with a relatively high proportion. Shanghai has a large number of occupational populations; however, the occurrence of WMSDs at neck among the occupational populations across industries in this city has not been reported, and needs to be addressed. Objective To understand the occurrence of neck-related WMSDs and their influencing factors among occupational populations in 8 industries in Shanghai, and to provide a scientific basis for the prevention and control of WMSDs in this population. Methods From February 2024 to February 2025, a cross-sectional survey employed stratified cluster sampling to select 7829 employed workers from 48 enterprises across 8 industries in Shanghai. The study investigated the occurrence of neck-related WMSDs among the participants over the preceding 12 months. Logistic regression analysis was employed to examine the relationships between WMSDs and various occupational factors. Results A total of 7770 questionnaires were collected, yielding an effective response rate of 99.2%. Overall, the positive rate of neck-related WMSDs among the participants was 11.89% (924/7770). Among different industries, the environmental sanitation industry (19.48%), pharmaceutical manufacturing industry (14.57%), and cigarette manufacturing industry (13.66%) had higher prevalence of neck-related WMSDs. Univariate analysis showed that the risk of neck-related WMSDs was higher in the following groups: those with a job tenure ≥5 years in the current position (OR=1.50–1.70), females (OR=1.77), those with higher education levels (master’s degree or above, OR=2.27), and those with worse self-rated health (very poor health, OR=4.38) (P＜0.05). Multivariate logistic regression analysis identified the following independent risk factors for neck WMSDs: environmental sanitation industry (OR=7.30, 95%CI: 4.72, 11.87), higher educational attainment (master’s degree or above: OR=2.16, 95%CI: 1.36, 3.35), worse self-rated health status (very poor: OR=1.95, 95%CI: 1.31, 2.85), work performed in a single workshop (OR=1.36, 95%CI: 1.13, 1.64), understaffing (OR=1.46, 95%CI: 1.25, 1.70), slight neck forward flexion (OR=1.64, 95%CI: 1.32, 2.06), severe neck forward flexion (OR=2.55, 95%CI: 1.97, 3.30), and maintaining a fixed neck posture for a prolonged period (OR=2.28, 95%CI: 1.93, 2.70). Conversely, work rotation (OR=0.75, 95%CI: 0.65, 0.87), adequate rest (OR=0.70, 95%CI: 0.60, 0.82), and severe back flexion (OR=0.63, 95%CI: 0.46, 0.85) were protective factors against neck-related WMSDs. For the nomogram, the area under the curve (AUC)=0.75 (95%CI: 0.74, 0.77), Hosmer-Lemeshow test P=0.764, and Brier score=0.094, indicating that the model had good discrimination and calibration. Conclusion Among the occupational populations in Shanghai, the environmental sanitation industry, pharmaceutical manufacturing industry, and cigarette manufacturing industry are identified as high-risk industries for neck-related WMSDs. Industry affiliation, educational level, work organization patterns, and awkward neck working postures are confirmed as the core influencing factors for the development of neck-related WMSDs. Targeted and comprehensive intervention measures should be formulated focusing on the aforementioned high-risk industries and key influencing factors. Multi-dimensional collaborative efforts, including ergonomic optimization, improvement of labor management systems, and strengthened health education and promotion, should be implemented to effectively control the risk of neck-related WMSDs in the occupational population, and to provide robust statistical evidence for the advancement of regional occupational health prevention and control strategies.

There are various complicated wired connections in traditional endoscopic systems, which have disadvantages such as prolonging the preoperative setup time, restricting the movement of laparoscope, hindering the intraoperative manipulation, potentially contaminating the operation area and causing safety hazards.Our team has developed a wireless intelligent ultra-high-definition endoscopic system for the first time, which has been widely applied in many urological surgeries, such as tumors, stones, transurethral prostate enucleation, laparoscopic pyeloureteroplasty, laparoscopic renal cyst top decompression and so on.This essay reviews the applications and advantages of this system in urology, and forecasts its prospects.

Objective:To explore the characteristics of potential categories of chronic disease co-morbid patients' learned helplessness, and to analyze the differential characteristics of different categories of chronic disease co-morbid patients.Methods:Convenience sampling method was used to select patients with chronic disease co-morbidities who attended The NO.1 People's Hospital of Xiangyang, Hubei University of Medicine, from June to December 2023 as survey respondents. General information questionnaire, Learned Helplessness Scale, Health Questionnaire Somatic Symptom Cluster Scale, Kessler Psychological Distress Scale, and Comprehension Social Support Scale were used for the cross-sectional survey. The potential profile of learned helplessness, and the influencing factors of potential categories of learned helplessness was analyzed.Results:A total of 810 patients with chronic co-morbidities were investigated. There were 453 males and 357 females, aged (65.03±10.89) years old. The learned helplessness of these patients was categorized into three different potential categories, which were named as low-level learned helplessness group, medium-level learned helplessness group, high-level learned helplessness, accounting for 17.5% (142/810), 23.5% (190/810), and 59.0% (478/810), respectively. Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with more severe physical symptoms ( OR=1.456, 1.391, both P<0.01). Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with more severe the psychological distress ( OR=1.359, 1.917, both P<0.01). Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with lower levels of social support ( OR=0.928, 0.874, both P<0.01). Compared with the low-level learned helplessness group, patients with a duration of illness >5 years were used as controls, patients with a duration of illness 2-5 years were more likely to belong to the medium-level learned helplessness group and high-level learned helplessness group ( OR=74.586, 62.620, both P<0.01). Compared with the low-level learned helplessness group, patients with neutral personalities were compared, patients with extroverted personalities had a lower probability of belonging to the medium-level learned helplessness group ( OR=0.105, P<0.05), while patients with introverted personalities had a lower probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group ( OR=0.052, 0.046, both P<0.01). Conclusions:Patients with chronic disease co-morbidities have higher levels of learned helplessness during disease treatment and have more distinctive categorical characteristics. Healthcare professionals should adopt targeted nursing interventions according to different categories of chronic disease co-morbid patients to reduce the level of learned helplessness.

Objective:To examine the validity and reliability of the Chinese version of the Transgender Atti-tudes and Beliefs Scale(TABS)in the general adult population.Methods:A total of 1 656 residents aged≥18 years were recruited by convenient sampling method,and were equally divided into sample 1 and sample 2 accord-ing to age group.The total sample was used for item analysis and internal consistency reliability test.Sample 1 was used for exploratory factor analysis,Sample 2 was used for confirmatory factor analysis,and 60 residents were se-lected for retesting at a 2-week interval.Results:The TABS Chinese version included a total of 26 items,with the content validity index(I-CVI)of each item ranging from 0.83 to 1.00,and the content validity index(S-CVI)of the scale being 0.98.Exploratory factor analysis extracted 3 common factors,namely interpersonal comfort,gender beliefs,and human value,with a cumulative total variance of 57.13％.Confirmatory factor analysis showed that the scale fit was acceptable(x2/df=2.95,RMSEA=0.05,GFI=0.92,AGFI=0.90).The Cronbach α coefficients of the total score of the scale and the scores of the 3 factors were 0.95,0.95,0.88 and 0.86.The retest reliabilities were 0.88,0.78,0.65 and 0.91.Conclusion:The Chinese version of the Transgender Attitudes and Beliefs Scale(TABS)has good validity and reliability in assessing general adults'attitudes toward the transgender community.

Objective:To explore the characteristics of potential categories of chronic disease co-morbid patients' learned helplessness, and to analyze the differential characteristics of different categories of chronic disease co-morbid patients.Methods:Convenience sampling method was used to select patients with chronic disease co-morbidities who attended The NO.1 People's Hospital of Xiangyang, Hubei University of Medicine, from June to December 2023 as survey respondents. General information questionnaire, Learned Helplessness Scale, Health Questionnaire Somatic Symptom Cluster Scale, Kessler Psychological Distress Scale, and Comprehension Social Support Scale were used for the cross-sectional survey. The potential profile of learned helplessness, and the influencing factors of potential categories of learned helplessness was analyzed.Results:A total of 810 patients with chronic co-morbidities were investigated. There were 453 males and 357 females, aged (65.03±10.89) years old. The learned helplessness of these patients was categorized into three different potential categories, which were named as low-level learned helplessness group, medium-level learned helplessness group, high-level learned helplessness, accounting for 17.5% (142/810), 23.5% (190/810), and 59.0% (478/810), respectively. Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with more severe physical symptoms ( OR=1.456, 1.391, both P<0.01). Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with more severe the psychological distress ( OR=1.359, 1.917, both P<0.01). Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with lower levels of social support ( OR=0.928, 0.874, both P<0.01). Compared with the low-level learned helplessness group, patients with a duration of illness >5 years were used as controls, patients with a duration of illness 2-5 years were more likely to belong to the medium-level learned helplessness group and high-level learned helplessness group ( OR=74.586, 62.620, both P<0.01). Compared with the low-level learned helplessness group, patients with neutral personalities were compared, patients with extroverted personalities had a lower probability of belonging to the medium-level learned helplessness group ( OR=0.105, P<0.05), while patients with introverted personalities had a lower probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group ( OR=0.052, 0.046, both P<0.01). Conclusions:Patients with chronic disease co-morbidities have higher levels of learned helplessness during disease treatment and have more distinctive categorical characteristics. Healthcare professionals should adopt targeted nursing interventions according to different categories of chronic disease co-morbid patients to reduce the level of learned helplessness.

Objective:To examine the validity and reliability of the Chinese version of the Transgender Atti-tudes and Beliefs Scale(TABS)in the general adult population.Methods:A total of 1 656 residents aged≥18 years were recruited by convenient sampling method,and were equally divided into sample 1 and sample 2 accord-ing to age group.The total sample was used for item analysis and internal consistency reliability test.Sample 1 was used for exploratory factor analysis,Sample 2 was used for confirmatory factor analysis,and 60 residents were se-lected for retesting at a 2-week interval.Results:The TABS Chinese version included a total of 26 items,with the content validity index(I-CVI)of each item ranging from 0.83 to 1.00,and the content validity index(S-CVI)of the scale being 0.98.Exploratory factor analysis extracted 3 common factors,namely interpersonal comfort,gender beliefs,and human value,with a cumulative total variance of 57.13％.Confirmatory factor analysis showed that the scale fit was acceptable(x2/df=2.95,RMSEA=0.05,GFI=0.92,AGFI=0.90).The Cronbach α coefficients of the total score of the scale and the scores of the 3 factors were 0.95,0.95,0.88 and 0.86.The retest reliabilities were 0.88,0.78,0.65 and 0.91.Conclusion:The Chinese version of the Transgender Attitudes and Beliefs Scale(TABS)has good validity and reliability in assessing general adults'attitudes toward the transgender community.

Objective To investigate the relationship between MTHFR C677T gene polymorphism and peripheral edema after intracerebral hemorrhage.Methods Two hundred and sixteen patients with hypertensive intracerebral hemorrhage were divided into edema enlargement group and edema non-enlargement group according to whether cerebral edema enlargement occurred.Clinical data of the patients were collected,and the MTHFR C677T genotype was detected.Results The level of homocysteine(Hey),vascular endothelial growth factor(VEGF)level at 72 h after admission,blood loss and incidence of venous thrombosis of lower extremity in edema enlargement group were significantly increased than those in edema non-enlargement group(P＜0.05-0.01).The frequency of TT genotype of MTHFR C677T in edema enlargement group was significantly higher than that of CT genotype,and the frequency of CT genotype was significantly higher than that of the frequency of CC genotype(all P＜0.05).There were significant differences in MTHFR C677T genotype and allele frequency between edema enlargement group and edema non-enlargement group(X2=70.668,P＜0.001;x2=84.139,P＜0.001).Multivariate Logistic regression analysis showed that VEGF level at 72 h after admission,MTHFR C677T CT genotype and TT genotype were independent risk factors for cerebral hemorrhage edema enlargement(OR=1.013,95％CI:1.007-1.019,P＜0.001;OR=5.534,95％CI:2.426-12.625,P＜0.001;OR=33.088,95％CI:9.012-121.479,P＜0.001).After adjusting for other factors,the OR of MTHFR C677CT to MTHFR C677CC was 5.53(95％CI:2.426-12.625,P＜0.05),and the OR of MTHFR C677TT to MTHFR C677CC was 33.09(95％CI:9.012-121.479,P＜0.05).The edema growth rate of TT genotype,CT genotype and CC genotype at MTHFR C677T site was significantly different(F=3.204,P=0.044).There was no significant difference in VEGF level among TT genotype,CT genotype and CC genotype of MTHFR C677T site at admission(F=0.978,P=0.379),but there was significant difference in VEGF level at 72 h after admission(F=5.819,P=0.007).Conclusion MTHFR C677T gene polymorphism is associated with secondary edema enlargement after intracerebral hemorrhage.

As new evidence emerges, treatment strategies toward the functional cure of chronic hepatitis B are evolving. In 2019, a panel of national hepatologists published a Consensus Statement on the functional cure of chronic hepatitis B. Currently, an international group of hepatologists has been assembled to evaluate research since the publication of the original consensus, and to collaboratively develop the updated statements. The 2.0 Consensus was aimed to update the original consensus with the latest available studies, and provide a comprehensive overview of the current relevant scientific literatures regarding functional cure of hepatitis B, with a particular focus on issues that are not yet fully clarified. These cover the definition of functional cure of hepatitis B, its mechanisms and barriers, the effective strategies and treatment roadmap to achieve this endpoint, in particular new surrogate biomarkers used to measure efficacy or to predict response, and the appropriate approach to pursuing a functional cure in special populations, the development of emerging antivirals and immunomodulators with potential for curing hepatitis B. The statements are primarily intended to offer international guidance for clinicians in their practice to enhance the functional cure rate of chronic hepatitis B.

Traditional Chinese medicine （TCM） compound prescriptions serve as crucial practical embodiments of TCM theoretical frameworks， characterized by their complex multi-component composition and multi-target interactions. The research on the material basis of their pharmacological effects has gradually become the key to promoting the modernization of TCM. In recent years， new ideas and theories regarding the research on pharmacodynamic substance basis of TCM compound prescriptions have been continuously proposed. This review systematically summarizes and reviews analytical techniques such as targeted fishing technology， spectrum-effect relationship analysis， serum pharmacochemistry， network pharmacology， high-throughput screening， and cell membrane chromatography. It is found that these techniques exhibit unique advantages in areas including target-specific analysis， component-pharmacological effect correlation analysis， identification of the material basis in vitro and in vivo， prediction of multi-target mechanisms， efficient screening of active ingredients， and analysis of interactions between cell membrane receptors. These techniques compensate for the shortcomings of traditional research methods， enhance the systematicness and precision of research on pharmacodynamic substance based TCM compound prescriptions， and can provide theoretical support for the promotion and clinical application of TCM compound prescriptions.

ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.