Objective:To establish innovative teaching reform methods suitable for food-related majors in medical colleges by leveraging virtual simulation experimental technology.Methods:Based on the course construction and application of the national virtual simulation experiment teaching course sharing platform,a comparative study was conducted between traditional teaching and virtual simulation experiment technology teaching for grade 2021 and grade 2022 students majoring in food quality and safety.The differences between the two teaching methods were analyzed by comparing learning performance.Results:A total of 58 food virtual simulation courses covering 107 courses were constructed in the national virtual simulation experiment teaching course sharing platform,which had been widely recognized in university education.Compared with the traditional teaching method,the experimental teaching using virtual simulation technology significantly improved the students'scores in homework assignments,midterm exams,and final exams.Conclusion:The application of virtual simulation experiment technology in the Animal and Plant Quarantine course enhances students'learning performance and strengthens their practical application abilities,which has become an internal driving force to strengthen the construction of professional level.

Objective To investigate the effect of large artery atherosclerosis(LAA)and non-LAA subtypes on the efficacy of Ginkgo Diterpene Lactone Meglumine(GDLM)in patients with acute ischemic stroke.Methods This was a post-hoc analysis of multicenter,randomized,double-blind,placebo-controlled,and parallel-group trial.A total of 3 448 patients who had acute ischemic stroke were randomly assigned in a 1∶1 ratio to receive the injection of GDLM or the placebo once day within 48 h after symptoms and continued for 14 d.The primary outcome was the proportion of patients with a modified Rankin Scale(mRS)of 0 or 1 on day 90 after randomization.Results A total of 3 448 patients were enrolled,with 1 604(46.52% )patients with non-LAA and 1 844(53.48% )with LAA.Compared to the placebo treatment.GDLM injection effectively improve the functional prognosis,with a higher proportion of mRS score of 0-1 in both non-LAA(OR=1.24,95% CI:1.02-1.51;P=0.03)and LAA(OR=1.37,95% CI:1.14-1.65;P<0.001)group.There was no significant interaction between LAA subtypes with treatment(P=0.48 for interaction).Conclusion Among patients with acute ischemic stroke in this randomized clinical trial,GDLM might improve the favorable clinical outcomes at 90 d compared with placebo,regardless of LAA subtypes.Nevertheless,it is necessary to confirm the findings in the future.

Autism spectrum disorder(ASD)is a neurodevelopmental disorder starting from early childhood.At present,the age of diagnosis for ASD in children is significantly delayed,typically occurring after two years of age,although behavioral signs or prodromal symptoms can emerge before the age of 12 months.These early indicators gradually evolve into the core symptoms of ASD.It has been well recognized that early screening and intervention can maximally improve its prognosis and promote optimal development of the affected children.Therefore,there has been increasing emphasis on preemptive screening and intervention for prodromal symptoms of ASD before the age of 12 months in clinical practice and research,so as to reduce the symptoms to a normal state to some extent.However,during the prodromal period of ASD,especially before the age of one,preemptive screening and intervention present many challenges.Preemptive screening faces obstacles such as significant individual differences in infant growth and development,incomplete presentation of ASD symptoms,and differing assessment content and criteria;preemptive intervention must overcome challenges like the diversity of screening tools and varying factors of parents.As a result,few research has been conducted in this field.This review mainly introduces preemptive screening tools and intervention techniques for children with ASD in the first year of life,including the intervention used in the British Autism Study of Infant Siblings-video interaction for promoting positive parenting(iBASIS-VIPP),the promoting first relationships,the environmental enrichment for infants,parenting with acceptance and commitment therapy(ENACT),and the adapted response teaching.The application of neuroimaging technology and artificial intelligence technology is also explained to provide reference for relevant research and clinical practice.

Objective:To explore the relationship and underlying mechanisms between servant leadership and satisfaction of medical staff in tertiary hospitals, and to provide references for improving satisfaction of medical personnel.Methods:From January to June 2023, a questionnaire survey was conducted among on-duty medical staff at a tertiary hospital in Guangzhou using a simple random sampling method. Data corresponding to four key variables: servant leadership, hospital management level, affective commitment, and satisfaction of medical staff were collected. SPSS 25.0 software was used to perform independent samples t-tests and one-way analysis of variance (ANOVA) to examine group differences, and Pearson correlation analysis was conducted to explore the relationships among multiple variables. Amos 24.0 software was employed to construct a structural equation model to conduct confirmatory factor analysis of the four key variables, analyze potential mediating effects, and use multi-group analysis to examine differences in path parameters and structure among groups. Results:A total of 632 valid questionnaires were obtained. The satisfaction score of medical staff was (4.50±0.66)(maximum score was 5 points). Age, years of work experience, and job category had statistically significant effects on satisfaction of medical staff ( F = 5.799, 6.483, 7.671; P = 0.001). All four key variables were significantly positively correlated ( P<0.001). Servant leadership, hospital management level, and affective commitment all had direct positive effects on satisfaction of medical staff, with path coefficients of 0.207, 0.386, and 0.345, respectively ( P <0.05, critical ratio>1.96). Hospital management level and affective commitment each had independent partial mediating effects between servant leadership and satisfaction of medical staff (path coefficients of 0.353 and 0.067, respectively; P = 0.007, 0.018). They also jointly exerted a chain mediating effect (path coefficient of 0.243, P = 0.013). Differences in path effects among different job categories (clinical doctors, nurses, and administrative support staff) were statistically significant ( χ2 = 43.344, df = 24, P = 0.009). Conclusions:The servant leadership in tertiary hospitals can directly influence the satisfaction of medical staff, as well as indirectly influence it through emotional commitment and hospital management level. Moreover, the mechanisms of influence vary among medical staff of different professional categories. Tertiary hospitals should introduce and promote servant leadership styles, enhance the servant leadership behaviors of management personnel, and strengthen the synergistic effects of servant leadership, hospital management level, and affective commitment. Differential adjustment mechanisms should be implemented for different job categories.

Objective To explore the risk factors associated with the development of acute respir-atory distress syndrome(ARDS)in patients with severe traumatic brain injury(sTBI)and to construct and validate a risk prediction model for ARDS in these patients.Methods Clinical data from 371 sTBI patients admitted to Yangzhou Affiliated Hospital of Yangzhou University between January 2017 and December 2023 were retrospectively collected.Patients were randomly divided into modeling group(n=259)and validation group(n=112)at a 7-to-3 ratio.A nomogram model was constructed after screening for risk factors using the Least Absolute Shrinkage and Selection Operator(LASSO)and multivariate Logistic regression analysis.Model performance was evaluated using the receiver operating characteristic(ROC)curve,area under the curve(AUC),Hosmer-Lemeshow test,calibration curve,and deci-sion curve analysis(DCA).Results Statistically significant differences were observed in heart rate,respiratory rate,pupil size,percutaneous oxygen saturation(SpO2),Glasgow Coma Scale(GCS)score,Acute Physiology and Chronic Health Evaluation Ⅱ(APACHE Ⅱ)score,head Ab-breviated Injury Scale(AIS)score,chest AIS score,emergency intubation,pulmonary infection,associated chest trauma,midline shift,blood transfusion within 12 hours of admission,fluid intake within 24 hours of admission,shock,mechanical ventilation,hemoglobin level,hematocrit,white blood cell count,prothrombin time,international normalized ratio,total protein,albumin,serum calcium,oxygenation index,and base excess between the two groups(P＜0.05).Multivariate Lo-gistic regression analysis revealed that SpO2,pulmonary infection,and fluid intake within 24 hours of admission were predictors of ARDS in sTBI patients.The Hosmer-Lemeshow test results for the modeling and validation groups showed good fit(x2=10.373,P=0.240;x2=13.21,P=0.105).DCA results for both groups indicated net benefit at threshold probabilities ranging from 0％to 72％and 0％to 50％,respectively.Conclusion SpO2,pulmonary infection,and fluid in-take within 24 hours of admission are risk factors for ARDS in sTBI patients.The model constructed using these factors demonstrates good performance and provides a reliable tool for clinical screening of high-risk ARDS populations among sTBI patients.

Plastics are widely used in all areas of human life,providing convenience while also causing serious en-vironmental pollution problems.Microplastic pollution is one of its derivative problems.Microplastics are plastic parti-cles with a diameter of less than 5 mm.They are currently widely present in the environment,so humans are at considera-ble risk of exposure to microplastics.Humans are mainly exposed to microplastics through the respiratory tract,digestive tract and skin.When exposed to a large number of microplastics,some of them will enter the body and be transported throughout the body via the bloodstream,accumulating in multiple tissues and organs.A significant amount of microplas-tics has also been detected in the cardiovascular system.This paper systematically describes human exposure to and dam-age by microplastics,highlighting the distribution and pathological damage of microplastics in the cardiovascular system.The pathological mechanisms of cardiovascular damage caused by microplastics are analyzed,and relevant clinical research progress is followed.This paper aims to evaluate the pathological risk of microplastics from the perspective of cardiovascu-lar damage,and provide a basis for disease prevention and scientific prevention and control of microplastic pollution.

Objectives:To explore the value of non-invasive myocardial work combined with myocardial contrast echocardiography(MCE)in the early diagnosis of coronary artery disease and its efficacy in stratifying the severity of coronary vessel lesions.Methods:A total of 130 patients with suspected coronary artery disease admitted to the First Affiliated Hospital of Dalian Medical University from June 2024 to January 2025 were enrolled in this study.All patients underwent echocardiography and MCE after admission,and coronary angiography(CAG).Based on CAG results,patients were divided into non-CAD group(n=45,coronary artery stenosis<50%)and CAD group(n=85,coronary artery stenosis≥50%).Patients in CAD group were further divided into low-score CAD group(≤49 points,n=43)and high-score CAD group(>49 points,n=42)according to the median of Gensini score(49 points).Non-invasive MW indices and quantitative MCE parameters were assessed.A binary logistic regression model was used to construct a combined diagnostic model,and the value of each parameter in diagnosing CAD and evaluating the severity of coronary lesions was calculated.The receiver operating characteristic(ROC)curve of subjects was estimated,and the area under the curve(AUC)was calculated to evaluate its sensitivity and specificity for early diagnosis of coronary heart disease.Results:Compared with the non-CAD group,the global longitudinal strain,global work index(GWI),and global constructive work(GCW)in both low-score and high-score CAD groups were significantly lower(all P<0.05),and the global work efficiency in the high-score CAD group was significantly reduced(P<0.05).MCE indices in both low-score and high-score CAD groups were significantly lower than those in the non-CAD group(all P<0.05).The multivariate logistic stepwise regression analysis and ROC curve showed that GWI(OR=0.997,95%CI:0.995-0.999,P=0.003)and A value(representing the peak intensity of the curve,reflecting myocardial blood volume(OR=0.415,95%CI:0.246-0.698,P=0.001)were independent predictors of low-score CAD.The combined diagnostic sensitivity and specificity for low-score coronary artery disease were 72.1%and 88.9%respectively,with an AUC of 0.851.GCW(OR=0.997,95%CI:0.995-1.000,P=0.019)and β-value(OR=0.000,95%CI:0.000-0.003,P<0.001)were independent predictors of high-score CAD.The combined diagnostic sensitivity and specificity for high-score coronary artery disease were 88.1%and 88.9%respectively,with an AUC of 0.934.Conclusions:Both non-invasive myocardial work parameters and MCE parameters have high diagnostic efficacy for coronary artery lesions of various degrees.The combined application of the two methods significantly improves the accuracy of coronary artery disease diagnosis,with improved sensitivity and specificity than single technique.Our results provide a new non-invasive comprehensive diagnostic model for clinical early diagnosis and risk stratification of coronary artery disease.

Objective:To explore the teaching reform of the Food Analysis experiment course under the concept of employment-oriented education,and to improve students'practical ability and employment competitiveness.Methods:Taking students majoring in Food Quality and Safety at a certain university as the research objects,the control group adopted traditional teaching,while the experimental group carried out reforms by optimizing the curriculum system,innovating the teaching mode,and establishing a diversified evaluation system.The total scores,teaching effectiveness,satisfaction with the teaching mode,and the evaluation of graduates by employers between the two groups were compared.Results:The average total score of the experimental group was significantly higher than that of the control group(P＜0.05).The teaching effect evaluations of the experimental group in improving experimental operation skills and enhancing employment position cognition were all higher than those of the control group(P＜0.05).The satisfaction of the experimental group with the teaching mode was better than that of the control group(P＜0.05).In the evaluation results of employers on graduates,the excellent rate of the experimental group was significantly higher than that of the control group(P＜0.01).Conclusion:The reform measures effectively improve the teaching quality and students'comprehensive literacy,and deliver high-quality talents with both practical ability and innovative thinking to the food industry.

Objectives:There is a lack of long-term follow-up study results on severe microvascular complications in a larger Chinese population with diabetes.This study aims to explore long-term impact of newly diagnosed diabetes(NDD)on the incidence and risk of severe microvascular complications.Methods:A total of 598 NDD and 493 normal glucose tolerance(NGT)subjects were included in this study in 1986.By questionnaire and systematic case review,the occurrence of severe microvascular complications,including severe diabetic retinopathy,severe diabetic nephropathy,and severe diabetic neuropathy,was followed up and collected over a period of 34 years.Results:The cumulative incidence of severe microvascular complications in the NDD population was 65.03%(95%CI:58.90%-70.48%)over 34 years,significantly higher than that in the NGT population(16.8%,95%CI:12.64%-20.11%).After adjusting for related risk factors,the risk of severe microvascular complications in the NDD population was 7.08 times than that of the NGT population(HR=7.08,95%CI:5.09-9.84,P<0.0001).Stratified analysis by sex showed that the cumulative incidence and risk of severe microvascular complications were slightly higher in male NDD population(68.02%,95%CI:57.27%-76.61%;HR=9.45,95%CI:5.78-15.47,P<0.0001)than in female NDD population(63.37%,95%CI:55.69%-70.09%;HR=5.86,95%CI:3.75-9.16,P<0.0001);however,the cumulative incidence increased more rapidly in women during the follow-up period of 10-25 years.Conclusions:The incidence and risk of severe microvascular complications in diabetes were significantly higher than those in the NGT population;and the incidence of severe vascular complications increased rapidly after the duration of diabetes exceeded 10 years,indicating that strict control of blood glucose in the early stage of diabetes is of vital importance.

Objective:Based on the autoregressive integrated moving average (ARIMA) model, back propagation neutral network (BPNN), and ARIMA-BPNN model, select the optimal model suitable for predicting the incidence trend of hepatitis C in Taiyuan City according to the characteristics of the data.Methods:The data of reported cases of hepatitis C in Taiyuan from 2008 to 2021 were selected, and the seasonal trend decomposition chart was used to analyze the seasonal characteristics of the monthly incidence rate of hepatitis C in Taiyuan during the period, and the ARIMA model, BPNN model, and ARIMA-BPNN model were established to predict. The performance of the model was measured using four indicators: mean absolute error ( MAE), mean squared error ( MSE), root mean square error ( RMSE), and mean absolute percentage error ( MAPE). Results:A total of 20 025 cases of hepatitis C were reported, and the overall incidence trend was stable. The BPNN model performed well on MSE, MAE, and RMSE indicators, the ARIMA-BPNN model performed well on MAPE indicators, and the ARIMA model performed relatively averagely. Conclusions:The ARIMA-BPNN model is a better model for predicting the trend of hepatitis C in Taiyuan City, with a higher predictive performance than a single model. It has significant prospects in predicting the trend of infectious diseases.