Wu Jutong's academic thoughts are inherited from Ye Tianshi and traced back to Zhongjing,and have a unique under-standing and play of the evil invading Shaoyang.Wu Jutong believes that Shaoyang has two major functional characteristics:ascending and pivoting.The principle of treating evil invading Shaoyang is to follow the ascending nature of Shaoyang and restore the pivoting function of Shaoyang.For Shaoyang fire-heat syndrome,follow Shaoyang to ascend and disperse to penetrate heat,and often use light,scavenging and dispersing products;for Shaoyang phlegm-fluid syndrome,creat Xiangfu Xuanfuhua Decoction to benefit the liver and gallbladder and resolve phlegm-fluid;for malaria invading Shaoyang,turn the pivot to stop malaria,and use Xiaochaihu Decoction and Qinghao Biejia Decoction for the treatment;for yin evil invading Shaoyang and Jueyin,Xiao Chaihu Decoction and Bupleurum chinense DC.are often used to turn the pivot of Shaoyang and warm and unchoke Jueyin.The contraindications of Xiao Chaihu Decoction are al-so summarized.

Objective:To explore the application effects of the solution-focused approach combined with empathic nursing in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) .Methods:A total of 96 AMI patients who underwent PCI in the Department of Cardiology at Cangzhou Central Hospital from March 2020 to March 2023 were selected using convenience sampling. They were randomly assigned to an experimental group ( n=48) and a control group ( n=48) using a random number table. The control group received routine nursing care, while the experimental group received a solution-focused approach combined with empathic nursing. Medication adherence, coping strategies, and patient satisfaction were compared between the two groups. Results:After the intervention, medication adherence and satisfaction scores in the experimental group were significantly higher than those in the control group, and the differences werestatistically significant ( P<0.05) . Additionally, the experimental group scored higher in confrontation coping, and lower in avoidance and resignation coping than the control group, and the differences were statistically significant ( P<0.01) . Conclusions:The combination of a solution-focused approach and empathic nursing can effectively improve medication adherence, coping strategies, and patient satisfaction in AMI patients after PCI.

Objective: To assess the nutritional supply status of school meals for primary and secondary school students in Henan Province, so as to provide a basis for scientific guidance of school meals. Methods: During 2021-2023, 115 lunch and dinner samples were collected from 25 primary and secondary schools in Zhoukou, Anyang and Luoyang of Henan Province by a direct selection method, and 13 nutrients were determined for each sample. The nutrient supply was evaluated based on Nutrition Guidelines of School Meals and Reference Intake of Dietary Nutrients for Chinese Residents (2023 Edition). Mann-Whitney U test was used to compare the differences of nutritional supply between urban and rural schools. Results: The median values for energy (709.77 kcal,1 kcal=4.18 kJ), fat energy supply ratio (0.27) and carbohydrate energy supply ratio (0.55) in the 66 lunches and dinners from primary school were within the recommended range. The supply of protein (28.39 g) and sodium (1 464.59 mg) was excessive. The median values of zinc (2.62 mg) and dietary fiber (5.19 g) were lower than the reference values. No statistically significant differences were observed in the supply of 13 nutrients between urban and rural primary schools( U = 427.00 -633.00, P > 0.05 ). Among 49 samples from secondary schools, the median value of energy supply (930.02 kcal), carbohydrate energy ratio ( 0.54 ) and fat energy supply ratio(0.25) were within the recommended range; and the median values of protein (38.82 g) and sodium (2 556.80 mg) were higher than the standard; and the median values of calcium (250.32 mg) and vitamin B1 (0.16 mg) were lower than the standard. Additionally, the differences in the level of vitamin B2 ( U =372.00) and zinc ( U =375.00) between the urban and rural secondary schools were statistically significant ( P <0.05). Conclusion Nutrient supply of primary and secondary school meals in three cities of Henan Province is inadequate and imbalanced, and the recipe need to be further optimized and improved.

Research indicates that microbe activity within the human body significantly influences health by being closely linked to various diseases. Accurately predicting microbe-disease interactions (MDIs) offers critical insights for disease intervention and pharmaceutical research. Current advanced AI-based technologies automatically generate robust representations of microbes and diseases, enabling effective MDI predictions. However, these models continue to face significant challenges. A major issue is their reliance on complex feature extractors and classifiers, which substantially diminishes the models' generalizability. To address this, we introduce a novel graph autoencoder framework that utilizes decoupled representation learning and multi-scale information fusion strategies to efficiently infer potential MDIs. Initially, we randomly mask portions of the input microbe-disease graph based on Bernoulli distribution to boost self-supervised training and minimize noise-related performance degradation. Secondly, we employ decoupled representation learning technology, compelling the graph neural network (GNN) to independently learn the weights for each feature subspace, thus enhancing its expressive power. Finally, we implement multi-scale information fusion technology to amalgamate the multi-layer outputs of GNN, reducing information loss due to occlusion. Extensive experiments on public datasets demonstrate that our model significantly surpasses existing top MDI prediction models. This indicates that our model can accurately predict unknown MDIs and is likely to aid in disease discovery and precision pharmaceutical research. Code and data are accessible at: https://github.com/shmildsj/MDI-IFDRL.

Objective:To evaluate the feasibility of training physicians from secondary comprehensive hospitals in the clinical assessment of brain death and to provide recommendations for nationwide implementation.Methods:This prospective cohort study enrolled physicians who completed standardized training in clinical brain death determination at five pilot hospitals between June and December 2023. Participants were from internal medicine, neurology, critical care, emergency, or anesthesiology departments of secondary comprehensive hospitals and had ≥5 years of clinical experience. Organ donation coordinators and surgeons involved in organ donation or transplantation were excluded. The training program comprised four modules: didactic lectures, bedside demonstrations, simulation-based practice, and written theoretical assessment with review. The theoretical assessment was considered qualified if the score was 60 or above. Participants were categorized into ≥80 and <80 groups based on assessment scores. Between-group comparisons were conducted using rank-sum or chi-square tests.Results:A total of 191 physicians from 74 secondary comprehensive hospitals were enrolled. Most held a bachelor's degree [89.5%(171/191)] and had intermediate [47.1%(90/191)] or associate senior [36.1%(69/191)] professional titles; [59.7%(114/191)] were from non-neurology specialties. The overall pass rate was 99.5% (190/191), with a mean score of 82.4±7.1. Compared with those scoring<80 (56 participants), physicians scoring ≥80 (135 participants) differed significantly by professional title, province, and department ( P=0.014, 0.019 and 0.039). The proportion scoring<80 was higher among junior/intermediate versus senior titles [38.0%(41/108) vs 18.1%(15/83), P=0.003), and among non-neurology/critical care departments (emergency, internal medicine, anesthesiology) versus neurology/critical care [39.7%(31/78) vs 22.1%(25/113), P=0.009]. Only 2.09%(4/191) achieved a perfect score. Across all test items, the overall error rate was 14.99%(700/4 670). The five knowledge points with the highest error rates were mistriggering of mechanical ventilation [96.97%(32/33)], corneal reflex [42.25%(30/71)], spinal reflexes [24.25%(65/268)], documentation of the determination [21.21%(7/33)], and the apnea test procedure [20.73%(57/275)]. Conclusions:The pilot hospitals can effectively deliver clinical training for brain death determination, supporting nationwide promotion. However, physicians' theoretical grounding in neurology at secondary comprehensive hospitals appears relatively weak. Training curricula should be optimized to further improve training quality.

Research indicates that microbe activity within the human body significantly influences health by being closely linked to various diseases.Accurately predicting microbe-disease interactions(MDIs)offers critical insights for disease intervention and pharmaceutical research.Current advanced AI-based technologies automatically generate robust representations of microbes and diseases,enabling effec-tive MDI predictions.However,these models continue to face significant challenges.A major issue is their reliance on complex feature extractors and classifiers,which substantially diminishes the models' generalizability.To address this,we introduce a novel graph autoencoder framework that utilizes decoupled representation learning and multi-scale information fusion strategies to efficiently infer po-tential MDIs.Initially,we randomly mask portions of the input microbe-disease graph based on Bernoulli distribution to boost self-supervised training and minimize noise-related performance degradation.Secondly,we employ decoupled representation learning technology,compelling the graph neural network(GNN)to independently learn the weights for each feature subspace,thus enhancing its expressive power.Finally,we implement multi-scale information fusion technology to amalgamate the multi-layer outputs of GNN,reducing information loss due to occlusion.Extensive experiments on public datasets demonstrate that our model significantly surpasses existing top MDI prediction models.This indicates that our model can accurately predict unknown MDIs and is likely to aid in disease discovery and precision pharmaceutical research.Code and data are accessible at:https://github.com/shmildsj/MDI-IFDRL.

Objective To investigate the value of hs-cTnT in predicting all-cause death in the elderly with SCAD.Methods A prospective cohort observation study was conducted on 274 old adults with SCAD hospitalized in our department from January 2016 to January 2019.Their hs-cTnT level was measured,and according to the results,they were divided into lower(≤13.0 ng/L,94 cases),middle(14.0-22.0 ng/L,94 cases)and upper(≥23.0 ng/L,86 cases)tertile groups.The general clinical data were compared among the three groups.Kaplan-Meier survival curve was drawn to analyze the survival differences among groups.Cox proportional hazards regression analysis was applied to identify risk factors for mortality.ROC curve analysis was applied to evaluate the predictive value of hs-cTnT for all-cause mortality.Results During a me-dian follow-up period of 32 months,62(22.63％)patients died among the 274 patients,account-ing for 75.8％dying of non-cardiovascular diseases.There were statistically differences in the three tertile groups in terms of age,male ratio,proportions of hypertension,chronic obstructive pulmonary disease and chronic kidney disease,number of comorbidities,estimated glomerular fil-tration rate,albumin and hemoglobin levels,left ventricular ejection fraction,left ventricular mass index,and mortality rate(P＜0.05,P＜0.01).COX proportional hazards regression model showed the upper tertile group had significantly lower cumulative survival rate than the middle and lower tertile groups(Plog rank＜0.01).Multivariate Cox proportional hazards regression analysis indicated that hs-cTnT≥23.0 ng/L level was still a risk factor for death in both model 2(HR=3.749,95％CI:1.703-8.256,P=0.001)and model 3(HR=2.990,95％CI:1.358-6.581,P=0.007).ROC curve analysis revealed that the AUC value of hs-cTnT level in predicting death was 0.736,with a cut-off value of 25 ng/L.Conclusion For elderly SCAD patients,despite the existence of multiple comorbidities and the priority of non-cardiovascular death,hs-cTnT,a marker reflecting myocar-dial injury,is still a predictor for risk of death in the population.

In recent years,the post-translational modification in epigenetics has drawn the attention of the researchers,and is expected to become the important direction for tumor pharmacology research in future.Chinese herbal medicine has the advantages of less side effects and better efficacy,and has shown good prospects in the research of prevention and treatment of colorectal cancer.This paper outlined the types of post-translational modifications in epigenetics and their roles in the progression of colorectal cancer,and explored the possible mechanisms of single Chinese herbal medicine and Chinese herbal compounds in the treatment of colorectal cancer by influencing post-translational modifications.In the progression of colorectal cancer,the post-translational modifications such as ubiquitination,ubiquitination-like,acetylation,crotonylation and glycylation were involved.The Chinese medicinal active ingredients from Coptidis Rhizoma,Euodiae Fructus,Scutellariae Radix,Curcumae Longae Rhizoma,etc.,and Chinese herbal compounds of Yiliu Decoction and Teng Long Buzhong Decoction have all shown certain effects for the prevention and treatment of colorectal cancer by participating in post-translational modifications.The in-depth exploration of the therapeutic mechanism of Chinese herbal medicine in the prevention and treatment of colorectal cancer and the development of new Chinese medicinal preparations from the perspective of post-translational modification are expected to become a new direction for the future research on the mechanism of anti-colorectal cancer and on the application of anti-cancer agents.

Objective:To evaluate the feasibility of training physicians from secondary comprehensive hospitals in the clinical assessment of brain death and to provide recommendations for nationwide implementation.Methods:This prospective cohort study enrolled physicians who completed standardized training in clinical brain death determination at five pilot hospitals between June and December 2023. Participants were from internal medicine, neurology, critical care, emergency, or anesthesiology departments of secondary comprehensive hospitals and had ≥5 years of clinical experience. Organ donation coordinators and surgeons involved in organ donation or transplantation were excluded. The training program comprised four modules: didactic lectures, bedside demonstrations, simulation-based practice, and written theoretical assessment with review. The theoretical assessment was considered qualified if the score was 60 or above. Participants were categorized into ≥80 and <80 groups based on assessment scores. Between-group comparisons were conducted using rank-sum or chi-square tests.Results:A total of 191 physicians from 74 secondary comprehensive hospitals were enrolled. Most held a bachelor's degree [89.5%(171/191)] and had intermediate [47.1%(90/191)] or associate senior [36.1%(69/191)] professional titles; [59.7%(114/191)] were from non-neurology specialties. The overall pass rate was 99.5% (190/191), with a mean score of 82.4±7.1. Compared with those scoring<80 (56 participants), physicians scoring ≥80 (135 participants) differed significantly by professional title, province, and department ( P=0.014, 0.019 and 0.039). The proportion scoring<80 was higher among junior/intermediate versus senior titles [38.0%(41/108) vs 18.1%(15/83), P=0.003), and among non-neurology/critical care departments (emergency, internal medicine, anesthesiology) versus neurology/critical care [39.7%(31/78) vs 22.1%(25/113), P=0.009]. Only 2.09%(4/191) achieved a perfect score. Across all test items, the overall error rate was 14.99%(700/4 670). The five knowledge points with the highest error rates were mistriggering of mechanical ventilation [96.97%(32/33)], corneal reflex [42.25%(30/71)], spinal reflexes [24.25%(65/268)], documentation of the determination [21.21%(7/33)], and the apnea test procedure [20.73%(57/275)]. Conclusions:The pilot hospitals can effectively deliver clinical training for brain death determination, supporting nationwide promotion. However, physicians' theoretical grounding in neurology at secondary comprehensive hospitals appears relatively weak. Training curricula should be optimized to further improve training quality.

Wu Jutong's academic thoughts are inherited from Ye Tianshi and traced back to Zhongjing,and have a unique under-standing and play of the evil invading Shaoyang.Wu Jutong believes that Shaoyang has two major functional characteristics:ascending and pivoting.The principle of treating evil invading Shaoyang is to follow the ascending nature of Shaoyang and restore the pivoting function of Shaoyang.For Shaoyang fire-heat syndrome,follow Shaoyang to ascend and disperse to penetrate heat,and often use light,scavenging and dispersing products;for Shaoyang phlegm-fluid syndrome,creat Xiangfu Xuanfuhua Decoction to benefit the liver and gallbladder and resolve phlegm-fluid;for malaria invading Shaoyang,turn the pivot to stop malaria,and use Xiaochaihu Decoction and Qinghao Biejia Decoction for the treatment;for yin evil invading Shaoyang and Jueyin,Xiao Chaihu Decoction and Bupleurum chinense DC.are often used to turn the pivot of Shaoyang and warm and unchoke Jueyin.The contraindications of Xiao Chaihu Decoction are al-so summarized.