Objective: To construct a scientific and perfect evaluation index system of infectious disease prevention and control ability in colleges and universities, so as to provide reference tools for colleges and universities to effectively respond to infectious disease. Methods: The initial framework of the evaluation index system of infectious disease prevention and control ability in colleges and universities was constructed by using literature analysis method. Experts familiar with infectious disease prevention and control or school health work were selected to conduct two rounds( n =16，18) of Delphi expert consultation for determining the evaluation index system. Analytical hierarchy process was used to calculate the index weights and combined weights. About 198 prevention and control personnel were conveniently selected from 3 universities in Inner Mongolia Autonomous Region to comprehensively evaluate the evaluation indicators by using fuzzy comprehensive evaluation method. Results: After two rounds of Delphi consultation questionnaire, the effective recovery rates were 80.0% and 90.0%, the expert authority levels were 0.89 and 0.86, the expert harmony coefficients for Kendall W were 0.166 and 0.310, and the variation coefficient of each index was <0.25. Finally, the evaluation index system of infectious disease prevention and control ability of colleges and universities included 4 first level indicators, 14 second level indicators and 75 third level indicators. The weights of prevention and monitoring and early warning, organizational system guarantee, emergency management, rehabilitation and summary were 0.176, 0.476, 0.268 and 0.080, respectively. The top 3 weights of the secondary indexes were 0.623 for infectious disease surveillance and early warning, 0.595 for loss assessment and 0.370 for emergency response. The score of fuzzy comprehensive evaluation of the index system of infectious disease prevention and control ability in colleges and universities was 79.148, suggesting a high level. Conclusion The established evaluation index system of infectious disease prevention and control ability in colleges and universities is scientific and reasonable, which is conducive to provide tool reference for the evaluation of infectious disease prevention and control ability in colleges and universities.

Objective: To analyze the consumption frequency of major foods among Chinese children aged 6-17 years old, and to provide a basis for optimizing the dietary structure of children in China. Methods: Using data from the China Nutrition and Health System Survey and Application Program for Children 0-18 years old, 56 734 children aged 6-17 years old from North, Norththeast East, Central, South, Southwest and Northwest seven regions in China were selected for the study using stratified cluster random sampling from 2019 to 2021. A food frequency questionnaire was used to investigate the intake frequency of eight food groups in a month, including fresh vegetables, fresh fruits, livestock and poultry meats, aquatic products, eggs, dairy products, legumes, and cereals and potatoes. The foods were grouped according to whether they met the recommended intake criteria outlined in the Dietary Guidelines for Chinese Residents 2022. The〖KG*2〗χ2 test was used to compare the differences in the proportion of childrens intake frequency of each food group meeting the standard in different regions and age groups. Results: The proportions of Chinese children aged 6-17 years who consumed fresh vegetables and cereals and potatoes ≥3 times/d were 12.1% and 67.2%, respectively. The proportions of children who consumed fresh fruits, livestock and poultry meats, eggs and dairy products ≥1 time/d were 50.8%, 58.8%, 36.0% and 54.3%, respectively. The proportion of legumes consumed ≥4 times/week was 37.4%, and the proportion of aquatic products consumed ≥2 times/week was 39.7%. Fresh vegetables (5.5%), fresh fruits (33.1%), and dairy products (36.4%) had the lowest frequency of meeting the recommended standards in South China, and aquatic products (27.4%) and eggs (21.1%) had the lowest frequency of meeting the recommended standards in Northwest (P<0.008 3). Conclusion The overall intake frequency of fresh vegetables, fresh fruits, legumes, and dairy products are insufficient among Chinese children, with significant regional variations.

This article discusses the key pathogenesis of atherosclerosis （AS） based on the physiological characteristics and pathological changes of lipids and introduces the therapeutic effect of Zhuyuwan on AS， aiming to provide a theoretical basis for the treatment of cardiovascular diseases from the spleen. As essential substances， lipids have the same essence but different forms. They circulate throughout the body with body fluids under the action of Yang Qi to nourish the nutrient Qi and support the defensive Qi. Lipid metabolism disorder often leads to the obstruction of Qi movement， the accumulation of dampness and turbidity， and the generation of phlegm and blood stasis. It has been proven that the formation of vulnerable plaques in AS is attributed to the interaction of three pathogenic factors： deficiency of healthy Qi， phlegm-turbidity， and collateral stasis. Their pathological essence is closely related to abnormal lipid metabolism. As lipids constitute the thick and dense components of body fluids， their impaired dispersion may lead to phlegm-turbidity and blood stasis， the pathological process of which is predominantly ascribed to the dysfunction of the spleen in distributing essence. Therefore， AS is rooted in spleen-stomach disorder， manifests as plaques formed by pathological product accumulation in vessels， with lipid transport disorder as its core pathogenesis. Specifically speaking， the dysfunction of spleen in transportation with accumulation of dampness-turbidity marks the initial stage， and blood turbidity and coagulation and phlegm-nodules accumulating in vessels represent the intermediate phase. Cold accumulation and stagnated heat transforming into toxins represent the terminal stage. Zhuyuwan， first recorded in Taiping Holy Prescriptions for Universal Relief， contains equal proportions of Coptidis Rhizoma and Evodiae Fructus. Coptidis Rhizoma， bitter and cold， exerts descending and purging actions to assist stomach Qi in lowering turbidity. Evodiae Fructus， pungent-bitter and hot， disperses obstruction and promotes free flow to support spleen Qi in ascending the clear. The compatibility of Coptidis Rhizoma and Evodiae Fructus ascends the clear and descends the turbid to harmonize Yin and Yang， assisting the spleen in distributing essence and resolving lipid accumulation to reduce lipid levels. In terms of the therapeutic mechanism， Zhuyuwan modulates lipid metabolism by correcting immune-inflammation network imbalance， improving gut microbiota composition and metabolism， and enhancing reverse cholesterol transport. By analyzing the pathological characteristics of lipid transport disorder in AS， this study delves into the intrinsic connections between cardiovascular disease and lipid transport disorder， giving novel insights into the prevention and treatment of AS.

This article discusses the key pathogenesis of atherosclerosis （AS） based on the physiological characteristics and pathological changes of lipids and introduces the therapeutic effect of Zhuyuwan on AS， aiming to provide a theoretical basis for the treatment of cardiovascular diseases from the spleen. As essential substances， lipids have the same essence but different forms. They circulate throughout the body with body fluids under the action of Yang Qi to nourish the nutrient Qi and support the defensive Qi. Lipid metabolism disorder often leads to the obstruction of Qi movement， the accumulation of dampness and turbidity， and the generation of phlegm and blood stasis. It has been proven that the formation of vulnerable plaques in AS is attributed to the interaction of three pathogenic factors： deficiency of healthy Qi， phlegm-turbidity， and collateral stasis. Their pathological essence is closely related to abnormal lipid metabolism. As lipids constitute the thick and dense components of body fluids， their impaired dispersion may lead to phlegm-turbidity and blood stasis， the pathological process of which is predominantly ascribed to the dysfunction of the spleen in distributing essence. Therefore， AS is rooted in spleen-stomach disorder， manifests as plaques formed by pathological product accumulation in vessels， with lipid transport disorder as its core pathogenesis. Specifically speaking， the dysfunction of spleen in transportation with accumulation of dampness-turbidity marks the initial stage， and blood turbidity and coagulation and phlegm-nodules accumulating in vessels represent the intermediate phase. Cold accumulation and stagnated heat transforming into toxins represent the terminal stage. Zhuyuwan， first recorded in Taiping Holy Prescriptions for Universal Relief， contains equal proportions of Coptidis Rhizoma and Evodiae Fructus. Coptidis Rhizoma， bitter and cold， exerts descending and purging actions to assist stomach Qi in lowering turbidity. Evodiae Fructus， pungent-bitter and hot， disperses obstruction and promotes free flow to support spleen Qi in ascending the clear. The compatibility of Coptidis Rhizoma and Evodiae Fructus ascends the clear and descends the turbid to harmonize Yin and Yang， assisting the spleen in distributing essence and resolving lipid accumulation to reduce lipid levels. In terms of the therapeutic mechanism， Zhuyuwan modulates lipid metabolism by correcting immune-inflammation network imbalance， improving gut microbiota composition and metabolism， and enhancing reverse cholesterol transport. By analyzing the pathological characteristics of lipid transport disorder in AS， this study delves into the intrinsic connections between cardiovascular disease and lipid transport disorder， giving novel insights into the prevention and treatment of AS.

Objective To explore the feasibility of long non-coding RNAs (lncRNAs) as biomarkers for radiation-induced intestinal injury. Methods Mice were exposed to 15 Gy of ⁶⁰Co γ-rays to the abdominal area. The pathological changes in intestinal tissues were analyzed at 72 h post-irradiation to confirm the successful establishment of the radiation-induced intestinal injury model. Real-time quantitative PCR was conducted to detect the expression of candidate radiation-responsive lncRNAs in the jejunum, jejunal crypts, colon tissues, and plasma of irradiated mice. Human intestinal epithelial cell line HIEC-6 and human colon epithelial cell line NCM460 were exposed to 0, 5, 10, and 15 Gy of ⁶⁰Co γ-rays. The expression levels of candidate lncRNAs were measured at 4, 24, 48, and 72 h post-irradiation to observe their changes with the irradiation dose. Results Pathological analysis showed that abdominal irradiation with 15 Gy successfully established an acute radiation-induced intestinal injury mouse model. Real-time quantitative PCR showed that Dino, Lncpint, Meg3, Dnm3os, Trp53cor1, Pvt1, and Neat1 were significantly upregulated following the occurrence of radiation-induced intestinal injury (P < 0.05). Among them, Meg3 and Dnm3os in mouse plasma were significantly upregulated (P < 0.05), while Gas5 was significantly downregulated (P < 0.05). In HIEC-6 and NCM460 cells, the expression levels of DINO, MEG3, DNM3OS, and GAS5 showed dose-dependent patterns at certain time points (P < 0.05). Conclusion The lncRNAs encoded by MEG3, DNM3OS, and GAS5 in intestinal epithelial cells are responsive to ionizing radiation. Consistent differential expression changes were detected in mouse plasma and intestinal tissues, indicating their potential as biomarkers for radiation-induced intestinal injury.

OBJECTIVE To investigate the efficacy and safety of tirofiban for early neurological deterioration in patients with acute ischemic stroke. METHODS A total of 126 patients with early neurological deterioration of acute ischemic stroke who were admitted to the Department of Neurology， Heji Hospital Affiliated to Changzhi Medical College from January 2022 to December 2023 were selected and divided into observation group and control group according to random number table method， with 63 cases in each group. All patients received standardized treatment such as lipid-lowering and blood pressure-lowering therapy. Based on the standard treatment， patients in the control group additionally took Aspirin enteric-coated tablets 100 mg+Clopidogrel bisulfate tablets 75 mg orally （once a day， for 14 consecutive days）. The patients in the observation group received Tirofiban hydrochloride and sodium chloride injection based on the standardized treatment [first intravenous infusion of 0.40 μg/（kg·min） for 30 min， and then continuous intravenous infusion of 0.10 μg/（kg·min） for 47.5 h]； subsequently， patients were given Aspirin enteric-coated tablets （100 mg） and Clopidogrel bisulfate tablets （75 mg） once a day for 14 consecutive days. The clinical efficacy， the National Institutes of Health Stroke Scale （NIHSS） score， modified Rankin Scale （mRS） score， and hemorheological indexes before and after treatment were compared between the two groups， and the adverse reactions were recorded. RESULTS The total effective rate （87.30%） of the observation group was significantly higher than that of the control group （71.43%） （P＜0.05）. NIHSS scores of the two groups at 1st， 7th and 14th day after treatment， the mRS score at 90th day after treatment， and the platelet aggregation rate， whole blood viscosity， plasma viscosity and fibrinogen at 14th day after treatment were significantly lower than those before treatment in the same group， and the observation group was significantly lower than the control group at the same period （P＜0.05）. The total incidences of adverse reactions such as nausea， headache， fever， gastrointestinal bleeding， oral and nasal mucosal bleeding and thrombocytopenia in both groups of patients were 28.57% respectively， with no statistically significant difference （P＞0.05）. CONCLUSIONS For patients with early neurological deterioration in acute ischemic stroke， the addition of tirofiban can accelerate the recovery of neurological function， improve blood hyperviscosity and platelet aggregation， and improve the prognosis of patients with good safety.

Objective: To analyze the association of eating dining locations and their association with nutritional status among Chinese children aged 6-17 years,so as to provide reference for guiding children s reasonable diet. Methods: Stratified random cluster sampling was used to select children aged 6 to 17 years from 28 cities and rural areas of 14 provinces in East, North, Central, South, Southwest, Northwest, Northeast of China, and a total of 52 535 children were included in the study from 2019 to 2021. Information including dining locations, demographic characteristics, dietary intakes and physical activity were collected through a questionnaire survey. Fasting body height and weight were measured in the morning. Unordered multiclass Logistic regression analysis was conducted to assess the relationship between dining locations and nutritional status in children. Results: Regarding children s dining locations, 66.3% ate breakfast at home,25.8% ate breakfast at school,7.9% ate breakfast outside (small dining tables, restaurants, stalls, etc.); 67.7% ate dinner at home,29.0% ate dinner at school,3.3% ate dinner outside; and 63.6% ate lunch at school,30.8% ate lunch at home,5.7% ate lunch outside. The prevalence rates of overweight/obesity and undernutrition were 28.6% and 9.3%, respectively. The adjusted multiclass Logistic regression analysis (controlling for age, region, parental education, household income, total energy intake, and moderate-to-vigorous physical activity) demonstrated that, compared to eating at home, school based breakfast and dinner consumption was associated with significantly lower overweight/obesity risks for both genders (boys: breakfast OR =0.70, 95% CI =0.65-0.75; dinner OR =0.80, 95% CI = 0.74- 0.86; girls: breakfast OR = 0.89 , 95% CI = 0.82-0.96; dinner OR =0.88, 95% CI =0.81-0.95), whereas eating lunch away from home significantly increased overweight/obesity risks (boys: OR =1.32, 95% CI =1.17-1.48; girls: OR =1.43, 95% CI =1.26- 1.62 ), with all associations being statistically significant ( P <0.05). After adjusting for confounding factors, boys who ate breakfast away from home showed a significantly reduced risk of undernutrition ( OR =0.80,95% CI =0.66-0.97), while those consuming lunch away from home had an increased risk ( OR =1.26, 95% CI =1.01-1.57) ( P <0.05). Conclusions The choice of dining locations for children is becoming more diverse, and a relatively high proportion of children eat meals outside the home and at school. Eating out have a higher risk of malnutrition for children. School feeding may be beneficial to children s physical health.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.