In the context of the digital-intelligent era of traditional Chinese medicine （TCM）， the lack of clinical thinking is a pressing issue that limits the overall effectiveness of TCM and talent cultivation. The "disease-pulse-syndrome-treatment differentiation" thinking model， originally developed by ZHANG Zhongjing in the Treatise on Cold Damage and Miscellaneous Diseases （Shang Han Za Bing Lun）， has served as a guideline and paradigm followed by generations of medical practitioners. This study aims to construct a digitalized "disease-pulse-syndrome-treatment differentiation" thinking system， develop a digital assessment system， and implement it for practical application. The goal is to recommend a digitalized assessment model for TCM and provide a reference for the integrated innovation of talent cultivation in medicine， education， and research. First， based on the complex diagnostic and treatment framework of the Treatise on Cold Damage Diseases （Shang Han Lun）， the research team previously established a "process" + "result" thinking model that included four processes and ten steps. This study integrates knowledge unit theory and digital technology to create a digital system for "disease-pulse-syndrome-treatment differentiation" with a dual-control model of "process control" and "result control". The system consists of 46 items across three categories： knowledge body （W=20%）， knowledge element （W=30%）， and knowledge element associations （W=50%）. Second， a mixed-methods research design was employed， combining qualitative and quantitative approaches. The Delphi method was used to establish hierarchical levels and screen items， while the analytic hierarchy process （AHP） was used to assign weights. Expert surveys were conducted to reach a consensus and further validate the rationale and necessity of the system. Finally， based on the system architecture and integrating key computer technologies， a digital assessment system for "disease-pulse-syndrome-treatment differentiation" was developed. The Treatise on Cold Damage Diseases （Shang Han Lun） was used as a case study to validate the system's feasibility. Statistical results showed that the difficulty level of the assessment question bank was moderate （DL ranging from 0.65 to 0.89）， with good discrimination （D>0.4）， and reasonable reliability and validity （Cronbach's α=0.84， KMO=0.72， Bartlett's test P<0.01）. The system can perform process-oriented evaluations of candidates' thinking in "disease-pulse-syndrome-treatment differentiation" and effectively achieve the goal of clinical thinking assessment through a combination of "process control" and "result control". The examination system offers three major advantages. It standardizes， objectifies， and streamlines the assessment of thought processes， facilitates the organic transformation of TCM education from outcome-based education to thinking-based education， and from exam-oriented education to competency-oriented education， and promotes the practical transformation of TCM assessments from qualitative to quantitative evaluation， as well as from theory to practice. In summary， this system not only represents a technological upgrade to traditional examinations but also empowers the cultivation and assessment of clinical talent in the digital-intelligent era， demonstrating broad application prospects.

Objective To investigate the influencing factors of stroke patients with hypertension and their compliance with antihypertensive drugs, and to provide targeted intervention measures for stroke prevention in hypertensive patients.  Methods Using the method of multi-stage cluster sampling, a total of 59,434 permanent residents aged 40 and above were selected from 48 monitoring sites in 9 cities of Hebei Province from December 2019 to December 2020. Unconditional logistic regression analysis was used to explore the influencing factors of stroke complicated with hypertension and the compliance of patients with antihypertensive drugs.  Results Among the 59 434 subjects, the prevalence rate of stroke was 4.33% and the prevalence rate of stroke complicated with hypertension was 82.47%. The results of univariate analysis showed that the proportion of women, rural areas, dyslipidemia, diabetes, obesity, and people with family history of stroke was higher in stroke patients with hypertension, and the difference was statistically significant (P<0.05). Multivariate logistic regression analysis showed that rural areas, dyslipidemia, diabetes, obesity, and family history of stroke significantly increased the risk of stroke, and the OR (95%CI) values were 1.29 (1.03-1.62), 1.39 (1.12-1.72), 1.58 (1.25-1.99), 1.61 (1.22-2.12) and 1.60 (1.26-2.04), respectively. Among stroke patients with hypertension, 92.71% of patients took antihypertensive drugs. It was found that women's compliance with antihypertensive drugs was good, with an OR (95%CI) value of 1.46 (1.01-2.09).  Conclusion The prevalence rate of stroke complicated with hypertension is high in people aged 40 and above in Hebei Province. Hypertensive people should lower blood lipids, control blood glucose, and lose weight as soon as possible to prevent the occurrence of stroke.

Bacillus is a class of spore-producing Gram-positive bacteria that produce a variety of antimicrobial substances with different structures and functions. The application of the antimicrobial substances produced by Bacillus can effectively inhibit the activity of harmful bacteria and fungi and promote the sustainable development of green agriculture. The antimicrobial substances produced by Bacillus mainly include proteins, lipopeptides, polyketones, and polypeptides. This paper reviews the synthesis gene clusters, synthesis pathways, structures, and mechanisms of various antimicrobial substances produced by Bacillus and discusses the challenges in the industrial application of these antimicrobial substances. Furthermore, this paper clarifies the future research and development focuses and prospects the application prospects, and provides comprehensive theoretical support for the in-depth research and wide application of the antimicrobial substances produced by Bacillus.
Bacillus/genetics* ; Anti-Infective Agents/metabolism* ; Bacterial Proteins/genetics* ; Antimicrobial Peptides/biosynthesis* ; Lipopeptides/biosynthesis*

Objective:To explore the efficacy of deep learning-based automatic segmentation technology in the segmentation of hepatocellular carcinoma (HCC) lesions using gadoxetate disodium-enhanced MRI (EOB-MRI), and to investigate the prognostic value of radiomics analysis in predicting patient outcomes.Methods:This was a cross-sectional, retrospective study that collected data from 352 patients with solitary HCC who underwent imaging at the Harbin Medical University Cancer Hospital between June 2015 and May 2023. The patients were randomly divided into a training set ( n=213) and a validation set ( n=139) in a 3∶2 ratio using weighted random sampling. Two radiologists manually annotated the lesions. Hepatobiliary-phase EOB-MRI images were standardized, and six deep learning models,nnU-Net, nnFormer, UnetR, Swin-UnetR, UnetR++ and MedNeXt,were trained for automatic segmentation on the training set. The segmentation performance was evaluated on the validation set, and the segmentation efficacy was assessed using the Dice coefficient and 95% Hausdorff distance (HD 95), identifying of the optimal model. Radiomics features were extracted from both manual and automatic segmentation regions, and the radiomics score (Radscore) was calculated to stratify patients into high-risk and low-risk groups. Kaplan-Meier curves and log-rank tests were used to analyze the differences in relapse-free survival (RFS) and overall survival (OS) between the different stratified groups. Results:Among the automatic segmentation models, the MedNeXt model performed best in the validation set, with a Dice coefficient of 76.0%, HD 95 of 7.2, and a segmentation success rate of 90.6% (126/139). The nnFormer model was the second-best, with a Dice coefficient of 75.3%, HD 95 of 10.1, and a segmentation success rate of 89.9% (125/139). Other models showed Dice coefficients ranging from 66.3% to 74.1%. A MedNext-nnF model was established by combining the MedNeXt and nnFormer models, achieving a Dice coefficient of 78.2%, HD 95 of 5.9, and a segmentation success rate of 92.1% (128/139) in the validation group. After constructing the automatic segmentation radiomics prognostic model, patients were stratified by Radscore. Both manual and automatic segmentation models showed statistically significant differences in RFS and OS between different risk groups ( P<0.001). Conclusions:The Mednext-nnF fusion model enables efficient and automated segmentation of HCC lesions in EOB-MRI. The radiomics model constructed based on the automated segmentation demonstrates strong performance in predicting and stratifying prognostic risk.

Objective:To translate and adapt the postoperative recovery in children (PRiC) scale, developing a Chinese version for children undergoing dental treatment under general anesthesia (PRiC-DTGA) with validated psychometric properties.Methods:The PRiC scale underwent forward-backward translation using Brislin′s model. A convenience sample of DTGA patients from the Department of Anesthesiology, School of Stomatology, The Fourth Mility Force Medical University was enrolled for a cross-sectional survey on postoperative complications. Delphi expert consultation informed cultural adaptation based on survey findings to develop the PRiC-DTGA Chinese version. Psychometric validation included reliability and validity testing in a separate DTGA cohort at the same center (April-October 2024).Results:Results from the cross-sectionalsurvey of 231 children showed that 82.7% (191/231) of them hadat least one postoperative complication within 72 hours, and these complications were mainly mild local symptoms. Additionally, 358 copies of the Chinese version of the PRiC-DTGA scale were distributed; 21 invalid questionnaires with incomplete information were excluded, and a total of 337 cases were included inthe study. The final PRiC-DTGA comprised 22 items across three dimensions including physical comfort, social ability, and negative emotional. Exploratory factor analysis (EFA) confirmed all factor loadings>0.4. Confirmatory factor analysis (CFA) demonstrated adequate fit: χ 2/df=1.665, tucker-Lewis index (TLI)=0.924, comparative fit index (CFI)=0.896, standardized root mean square residual (SRMR)=0.041, and root mean square error of approximation (RMSEA)=0.044 (90% CI: 0.035-0.053). Reliability was strong with Cronbach′s α (total scale)=0.853, subscale α=0.632-0.723, split-half reliability=0.824. Validity indices met standards: scale-content validity index (S-CVI)=0.909, Item-CVI range=0.944-1.000, average variance extracted (AVE)=0.473-0.501, composite reliability (CR)=0.830-0.913. Conclusions:The systematically adapted PRiC-DTGA demonstrates robust reliability and validity, serving as an effective tool for assessing postoperative recovery quality in Chinese children following DTGA.

ObjectiveTo explore the current situation of forensic ethics practice and education by designing a questionnaire on forensic ethics， with a view to exploring the path of forensic ethics education construction. MethodsA total of 667 valid questionnaires were collected using the online survey method， basically covering various regions across the country and all sub-specialties of forensic medicine. Descriptive analysis was used to analyze the relevant data. ResultsMost practitioners had relevant ethical reflections in the process of forensic practice. 69.12% of the respondents indicated that they had studied the relevant rules， but approximately half stated that there were no corresponding ethical norms or standard operating manuals. The specific behaviors violating ethics in different units were diverse. 23.04% of the respondents reported that they had encountered unethical behaviors， but only 4.9% of them reported such violations. In terms of forensic ethics education， 87.75% of the respondents believed that there were issues with the current model of forensic ethics education. Meanwhile， the respondents showed a high degree of recognition for receiving forensic ethics education， with 84.15% of respondents expressing willingness to participate in relevant courses. More than half of respondents were willing to participate in forensic ethics education during undergraduate studies， new employee training， and regular post-employment training. ConclusionCurrently， there is a problem of ethical neglect in forensic work in China. Combining ethics courses with professional courses at the practitioner training stage and providing regular training at the practice stage are effective measures to popularize forensic ethics knowledge， enhance ethical awareness， and improve the quality of practice.

Objective: To investigate the association between bedtime screen use and sleep health among fourth and fifthgrade primary school students, so as to provide evidence to support interventions for improving sleep quality. Methods: From April to June 2024, a survey was conducted among 4 232 fourth and fifthgrade students from nine primary schools in a district of Beijing. A selfdesigned questionnaire assessed bedtime screen use behavior and sleep health indicators. Generalized linear models and Logistic regression were used to analyze the associations. Results: Among the surveyed students, 28.3% reported bedtime screen use. Mean sleep duration every day was (9.31±0.90) hours on school days and (10.08±1.36) hours on weekends. Compared to nonusers, students with bedtime screen use exhibited every day: later bedtimes on school days (10.18 min delay, 95%CI=6.88-13.47) and weekends (22.09 min delay, 95%CI=17.33-26.85) (P<0.05); later weekend wake times (7.97 min delay, 95%CI=1.78-14.16, P<0.05); reduced sleep duration on school days (-9.82 min, 95%CI=-13.62 to -6.03) and weekends (-14.12 min, 95%CI=-20.24 to -8.00) (P<0.05); greater weekend-school day bedtime discrepancy (β=1.15, 95%CI=1.08-1.23, P<0.01). Additionally, they had lower odds of falling asleep within 20 minutes (OR=0.62, 95%CI=0.54-0.72), daytime alertness (OR=0.66, 95%CI=0.56-0.77), and subjective sleep satisfaction (OR=0.57, 95%CI=0.49-0.66)(P<0.01). Conclusions Bedtime screen use is associated with adverse effects on multiple dimensions of sleep health in primary school students. Reducing screen exposure before bed may help improve their sleep quality.

Objective: To develop a health literacy evaluation scale for Chinese high school students, providing a tool for dynamic monitoring of health literacy among high school students and evaluating the effectiveness of health school construction. Methods: Through theoretical research, an evaluation index system for health literacy of Chinese high school students was constructed. Two rounds of Delphi expert consultations were conducted to quantitatively screen the items, and the item pool was revised based on expert opinions to compile the health literacy evaluation scale for Chinese students. Two focus group interviews were held to collect suggestions from health educators, high school teachers, and high school students regarding optimized scale length, question types, difficulty and wording of the scale. The scale was revised accordingly. A pilot survey was conducted in Beijing and Tianjin in November 2024, and the reliability and validity of the scale were evaluated based on the pilot survey data. Results: The response rate in both rounds of Delphi expert consultations was over 80%, and the expert authority coefficient was over 0.70. The expert opinions were highly concentrated, and the dispersion was small. The revised item pool based on expert opinions contained 39 items. The revised scale based on the suggestions and opinions collected from the focus group interviews had a moderate number of questions and difficulty level. The pilot survey obtained 800 valid responses, with the response rate of 89.39%. The Cronbach α coefficient of the scale was 0.911, χ 2/df =3.321, the root mean square error of approximation was 0.054, the adjusted goodness-of-fit index was 0.991 , and the factor loadings of some items were less than 0.40. Conclusion The health literacy evaluation scale for Chinese high school students demonstrates scientific rigor and practical applicability, with good internal consistency and structural validity.

Objective To investigate the association between the Chinese visceral adiposity index (CVAI) and diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension among elderly people in Hebei Province. Methods In 2020, a stratified multi-stage random sampling was used to conduct questionnaire survey, physical examination and laboratory detection among permanent residents of 10 monitoring sites in Hebei Province. Logistic regression was used to analyze the association between CVAI and diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension. The area under the ROC curve (AUC) was used to evaluate the predictive value of CVAI for diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension. Results The detection rates of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension were 19.8%, 74.6%, 78.2%, and 16.2%, respectively. Multivariate logistic regression analysis showed that compared with the lowest quartile of CVAI group Q1, the OR (95% CI) of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension in the highest quartile Q4 group were 3.55 (2.58~4.89), 2.52 (1.92~3.31), 3.09 (2.31~4.12), and 4.92 (3.40~7.12), respectively. The ROC curve results showed that CVAI had the best predictive value in the diagnosis of diabetes with hypertension, and the optimized critical values in males and females were 128.54 and 141.88, respectively. Conclusion The detection rates of diabetes mellitus and hypertension are high in the elderly population in Hebei Province. CVAI is positively associated with the risk of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension among the elderly in Hebei. CVAI has the strongest prediction ability for diabetes with hypertension.

Objective: To develop and validate a health literacy assessment scale for junior high school students, providing an effective tool for evaluating and monitoring health literacy among Chinese adolescents. Methods: Based on school health education policy documents, a health literacy assessment framework was constructed, comprising five horizontal and four vertical dimensions. From May to June and August to September in 2024, the framework was refined through Delphi expert consultations and focus group discussions, leading to the development of the Health Literacy Assessment Scale for Junior High School Students. In September 2024, a convenience sample of 625 students from three junior high schools in Beijing and Tianjin completed the questionnaire. Item analysis, reliability, and validity tests were conducted to evaluate the scale. Results: The recovery rate for two rounds of expert consultation questionnaires was 100%. The expert authority coefficients ( Cr ) were 0.86 and 0.87 respectively (both >0.70), with Kendall W values of 0.34 and 0.27 ( P <0.05). The focus group discussions followed a rigorous structure, and after multiple rounds of item screening and revision, the version 3.0 of the junior high school students health literacy assessment scale was developed, comprising 57 items. Three items that failed to meet the comprehensive screening criteria were preliminarily removed, and the final scale contained 54 items. The scale demonstrated excellent reliability, with an overall Cronbach s α coefficient of 0.92 and split half reliability of 0.93. Confirmatory factor analysis [ χ 2/df =2.094, root mean square error of approximation ( RMSEA )=0.042, comparative fit index ( CFI )=0.911, Tucker Lewis index ( TLI )=0.907] indicated good model fit indices. Conclusions The preliminary development of the health literacy assessment scale for junior high school students follows a rigorous item screening process with well designed dimensions, demonstrating good reliability and validity, thus serving as an appropriate evaluation tool for adolescent health literacy.