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.

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: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.

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.

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.

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.

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.