OBJECTIVE To explore the protective effect and mechanism of Longshengzhi capsules on cerebral ischemia- reperfusion injury in rats. METHODS The model of middle cerebral artery occlusion （MCAO） was established by using the improved thread occlusion method. The experiment was divided into six groups： sham surgery group （only separating blood vessels without inserting thread plugs， given the same volume of normal saline）， model group （modeling， given the same volume of normal saline）， nimodipine group （positive control， modeling， dose of 20 mg/kg）， and low-dose， medium-dose， and high-dose groups of Longshengzhi capsules （modeling， doses of 0.72， 1.44 and 2.88 g/kg， respectively）， with 10 mice in each group. Each group was given corresponding medication solution/normal saline by gavage， once a day， for 7 consecutive days. One hour after the last administration， the Zea Longa scoring method was used to score the neurological deficits in each group of rats， and the ABC enzyme-linked immunosorbent assay was used to detect the serum levels of tumor necrosis factor-α （TNF-α） and interleukin-6 （IL-6） in rats； TTC staining was used to observe the volume of cerebral infarction in rats and calculate the cerebral infarction volume ratio. Hematoxylin eosin staining was used to observe the pathological changes in the brain tissue of rats. Immunohistochemical staining was used to detect the positive expression of NLRP3 protein in the brain tissue of rats. Real-time fluorescence quantitative PCR was used to detect mRNA relative expressions of Toll-like receptor 4 （TLR4） and nuclear factor-κB （NF-κB） in the brain tissue of rats. Western blot assay was adopted to detect the relative expressions of TLR4， NLRP3 and phosphorylated NF-κB （p-NF-κB） protein in the brain tissue of rats and its intracellular NF-κB protein. RESULTS Compared with the sham surgery group， the neural dysfunction score， serum levels of TNF-α and IL-6， cerebral infarction volume ratio， relative expression levels of NF-κB and TLR4 mRNA， as well as protein relative expressions of TLR4， NLRP3 and p-NF-κB in the brain tissue， and relative protein expression of intracellular NF-κB were increased significantly in the model group （P＜0.01）； the enlarged gap and significant edema were observed in cortical nerve cells of brain tissue in rats， with a large amount of inflammatory cell infiltration； the positive expression of NLRP3 protein in brain tissue of rats obviously increased. Compared with the model group， the levels of the above indicators in the medium-dose and high-dose groups of Longshengzhi capsules， as well as the Nimodipine group， were reversed to varying degrees， and most differences were statistically significant （P＜0.05 or P＜0.01）； the pathological morphology observation showed a significant improvement， and the positive expression of NLRP3 protein in the brain tissue of rats was obviously reduced. CONCLUSIONS Longshengzhi capsules may inhibit TLR4/NF-κB/NLRP3 signaling pathway and neuroinflammatory response， thereby achieving a protective effect against cerebral ischemia-reperfusion injury in rats.

Improving the entire outpatient clinic experience is an important measure in the new era to enhance patients'sense of gain from medical treatment.Beijing Tongren Hospital Affiliated to Capital Medical University explores the establishment of a full-process outpatient service management system based on continuous improvement of medical services.Through the concept of forward service,it focuses on the patient's pre-diagnosis experience;the process is simplified and intelligently guided to optimize the patient's in-diagnosis experience;and continuous diagnosis and treatment Model innovation improves patients'post-diagnosis experience and creates a Chinese-style modern outpatient medical service model to continuously meet the people's growing needs for a better life.

[Objective]To summarize and analyze the research progress of flavonoids in the prevention and treatment of diabetes mellitus and its complications.[Methods]The role of flavonoids in diabetes mellitus and diabetic complications was summarized by searching the databases of Web of Science,PubMed,China National Knowledge Infrastructure,VIP,Wanfang and others for the reports of flavonoids and diabetes mellitus and diabetic complications from January 2013 to December 2022,and the role of flavonoids in diabetes mellitus and diabetic complications was summarized.[Results]Studies have confirmed that flavonoids(herbal flavonoid extracts,naringenin,galangal,kaempferol,etc.)are effective in preventing and treating diabetes and diabetes-induced retinopathy,nephropathy,cardiomyopathy,osteoporosis and diabetic foot.Overall regulation and comprehensive treatment are the characteristics of flavonoid components,which can inhibit inflammation,reduce oxidative stress,repair mitochondrial function,lower blood glucose,relieve insulin resistance and are able to influence the expression of related factors from multiple signaling pathways,thus treating diabetes and its complications.[Conclusion]The elaboration of the pharmacodynamic material basis,mechanism of action and constitutive relationship of Chinese medicine flavonoids against diabetes mellitus and its complications in multiple ways and at multiple levels are key issues to be solved in the development of flavonoids and an important direction for future research.

Improving the entire outpatient clinic experience is an important measure in the new era to enhance patients'sense of gain from medical treatment.Beijing Tongren Hospital Affiliated to Capital Medical University explores the establishment of a full-process outpatient service management system based on continuous improvement of medical services.Through the concept of forward service,it focuses on the patient's pre-diagnosis experience;the process is simplified and intelligently guided to optimize the patient's in-diagnosis experience;and continuous diagnosis and treatment Model innovation improves patients'post-diagnosis experience and creates a Chinese-style modern outpatient medical service model to continuously meet the people's growing needs for a better life.

Improving the entire outpatient clinic experience is an important measure in the new era to enhance patients'sense of gain from medical treatment.Beijing Tongren Hospital Affiliated to Capital Medical University explores the establishment of a full-process outpatient service management system based on continuous improvement of medical services.Through the concept of forward service,it focuses on the patient's pre-diagnosis experience;the process is simplified and intelligently guided to optimize the patient's in-diagnosis experience;and continuous diagnosis and treatment Model innovation improves patients'post-diagnosis experience and creates a Chinese-style modern outpatient medical service model to continuously meet the people's growing needs for a better life.

Improving the entire outpatient clinic experience is an important measure in the new era to enhance patients'sense of gain from medical treatment.Beijing Tongren Hospital Affiliated to Capital Medical University explores the establishment of a full-process outpatient service management system based on continuous improvement of medical services.Through the concept of forward service,it focuses on the patient's pre-diagnosis experience;the process is simplified and intelligently guided to optimize the patient's in-diagnosis experience;and continuous diagnosis and treatment Model innovation improves patients'post-diagnosis experience and creates a Chinese-style modern outpatient medical service model to continuously meet the people's growing needs for a better life.

Improving the entire outpatient clinic experience is an important measure in the new era to enhance patients'sense of gain from medical treatment.Beijing Tongren Hospital Affiliated to Capital Medical University explores the establishment of a full-process outpatient service management system based on continuous improvement of medical services.Through the concept of forward service,it focuses on the patient's pre-diagnosis experience;the process is simplified and intelligently guided to optimize the patient's in-diagnosis experience;and continuous diagnosis and treatment Model innovation improves patients'post-diagnosis experience and creates a Chinese-style modern outpatient medical service model to continuously meet the people's growing needs for a better life.

Improving the entire outpatient clinic experience is an important measure in the new era to enhance patients'sense of gain from medical treatment.Beijing Tongren Hospital Affiliated to Capital Medical University explores the establishment of a full-process outpatient service management system based on continuous improvement of medical services.Through the concept of forward service,it focuses on the patient's pre-diagnosis experience;the process is simplified and intelligently guided to optimize the patient's in-diagnosis experience;and continuous diagnosis and treatment Model innovation improves patients'post-diagnosis experience and creates a Chinese-style modern outpatient medical service model to continuously meet the people's growing needs for a better life.

Improving the entire outpatient clinic experience is an important measure in the new era to enhance patients'sense of gain from medical treatment.Beijing Tongren Hospital Affiliated to Capital Medical University explores the establishment of a full-process outpatient service management system based on continuous improvement of medical services.Through the concept of forward service,it focuses on the patient's pre-diagnosis experience;the process is simplified and intelligently guided to optimize the patient's in-diagnosis experience;and continuous diagnosis and treatment Model innovation improves patients'post-diagnosis experience and creates a Chinese-style modern outpatient medical service model to continuously meet the people's growing needs for a better life.

Objectives Building a chest X-ray(CXR)image classification model based on convolutional neural networks in deep learning,providing reliable auxiliary diagnostic techniques for lung diseases.Methods Four kinds of chest X-ray pictures of COVID-19,mild pulmonary infection,viral pneumonia and normal were collected through KAGGLE database,and the data were randomly divided into training set,test set and verification set according to 3∶1∶1 ratio.Building a CXR image classification model based on convolutional neural network architecture,adjusting hyperparameters to strengthen and optimize the model.Subsequently,the model was validated and evaluated using metrics such as confusion matrix,accuracy,sensitivity,and K-fold cross validation results.Results The classification accuracy of this research model for lung imaging images is 0.81,the sensitivity is 0.80,and the loss values of the test and validation sets can be stable at a relatively low level.Compared with models with the same migration algorithm,the accuracy,sensitivity,and F1 score on the test dataset were improved by 1.7%,1.7%,1.3%,and 2.9%,respectively.Conclusion This model has stronger recognition and classification performance for CXR images,and can be more effectively applied to auxiliary analysis and judgment of lung diseases.