Da Qinjiaotang is the 54^th formula of the 100 formulas in the Catalogue of Ancient Classical Formulas （the first batch） ，and it originated from the Collection of Writings on the Mechanism of Disease， Suitability of Qi， and Safeguarding of Life Discussed in Plain Questions. Da Qinjiaotang is composed of Gentiana macrophylla， Glycyrrhizae Radix et Rhizoma， Ligusticum chuanxiong， Angelica sinensis， Paeonia lactiflora， Asari Radix et Rhizoma， Notopterygium incisum， Saposhnikoviae Radix， Scutellariae Radix， Gypsum， Angelica dahurica， Atractylodis Macrocephalae Rhizoma， Rehmanniae Radix， Rehmanniae Radix Praeparata， Poria， and Angelicae Pubescentis Radix. It is a classical formula for treating strokes. Da Qinjiaotang is widely used in modern clinical practices for treating ischemic stroke， peripheral facial paralysis， cervical spondylosis， rheumatic arthritis， neurodermatitis， and other multisystem diseases. Therefore， following the Principles of Textual Research on the Key Information of Ancient Classical Famous Formulas， the authors collected the ancient Chinese medical literature of Da Qinjiaotang by the method of bibliometrics and screened out 177 valid data， involving 100 ancient books of traditional Chinese medicine. Based on the historical evolution， composition， dosage， method of preparation， and preparation of the original medicinal materials of Da Qinjiaotang， a systematic study was carried out. It was found that among the 175 records of the main diseases and syndromes， stroke （144） was the most， accounting for 82.29% of the total diseases and syndromes. Later generations mostly followed the practice of LIU Wansu in using Da Qinjiaotang to treat stroke caused by "weak blood and inability to nourish tendon"， featuring "hands and feet cannot move， stiff tongue hinders speaking"， as well as other symptoms， such as slant of the mouth， hemiplegia， numbness of the limbs， paroxysmal pain， and acerbic syncope. The treatment scope was expanded， covering tendon dryness， clonic convulsion， spasm syndrome， and arthralgia syndrome. At the same time， it was found that there was a controversy between "internal wind" and "external wind" in the treatment of stroke by Da Qinjiaotang. LIU Wansu thought that stroke was caused by internal factors， created the theory of "hot stroke"， and used Da Qinjiaotang to treat "internal wind". Many doctors in later generations focused on treating the "external wind" of "internal deficiency and evil". There were 76 valid data on the composition of drugs， 59 of which had doses for each drug. It was suggested to use the modern conversion dosage of the original formula， with 41.30 g per dose. The drug should be boiled in 600 mL water until 300 mL， decocted once， and taken in a warm state after removing the dregs anytime. Through the analysis and study of the ancient books about Da Qinjiaotang， the paper clarified its historical evolution and confirmed its key information， so as to provide the ancient literature evidence for the research and development of the classical famous formula Daqinjiaotan and its better clinical application.

Da Qinjiaotang is the 54^th formula of the 100 formulas in the Catalogue of Ancient Classical Formulas （the first batch） ，and it originated from the Collection of Writings on the Mechanism of Disease， Suitability of Qi， and Safeguarding of Life Discussed in Plain Questions. Da Qinjiaotang is composed of Gentiana macrophylla， Glycyrrhizae Radix et Rhizoma， Ligusticum chuanxiong， Angelica sinensis， Paeonia lactiflora， Asari Radix et Rhizoma， Notopterygium incisum， Saposhnikoviae Radix， Scutellariae Radix， Gypsum， Angelica dahurica， Atractylodis Macrocephalae Rhizoma， Rehmanniae Radix， Rehmanniae Radix Praeparata， Poria， and Angelicae Pubescentis Radix. It is a classical formula for treating strokes. Da Qinjiaotang is widely used in modern clinical practices for treating ischemic stroke， peripheral facial paralysis， cervical spondylosis， rheumatic arthritis， neurodermatitis， and other multisystem diseases. Therefore， following the Principles of Textual Research on the Key Information of Ancient Classical Famous Formulas， the authors collected the ancient Chinese medical literature of Da Qinjiaotang by the method of bibliometrics and screened out 177 valid data， involving 100 ancient books of traditional Chinese medicine. Based on the historical evolution， composition， dosage， method of preparation， and preparation of the original medicinal materials of Da Qinjiaotang， a systematic study was carried out. It was found that among the 175 records of the main diseases and syndromes， stroke （144） was the most， accounting for 82.29% of the total diseases and syndromes. Later generations mostly followed the practice of LIU Wansu in using Da Qinjiaotang to treat stroke caused by "weak blood and inability to nourish tendon"， featuring "hands and feet cannot move， stiff tongue hinders speaking"， as well as other symptoms， such as slant of the mouth， hemiplegia， numbness of the limbs， paroxysmal pain， and acerbic syncope. The treatment scope was expanded， covering tendon dryness， clonic convulsion， spasm syndrome， and arthralgia syndrome. At the same time， it was found that there was a controversy between "internal wind" and "external wind" in the treatment of stroke by Da Qinjiaotang. LIU Wansu thought that stroke was caused by internal factors， created the theory of "hot stroke"， and used Da Qinjiaotang to treat "internal wind". Many doctors in later generations focused on treating the "external wind" of "internal deficiency and evil". There were 76 valid data on the composition of drugs， 59 of which had doses for each drug. It was suggested to use the modern conversion dosage of the original formula， with 41.30 g per dose. The drug should be boiled in 600 mL water until 300 mL， decocted once， and taken in a warm state after removing the dregs anytime. Through the analysis and study of the ancient books about Da Qinjiaotang， the paper clarified its historical evolution and confirmed its key information， so as to provide the ancient literature evidence for the research and development of the classical famous formula Daqinjiaotan and its better clinical application.

Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

ObjectiveTo explore the construction of a machine learning model for the diagnosis of traditional Chinese medicine （TCM） syndromes in chronic cough and the optimization of this model using the Voting ensemble algorithm. MethodsA retrospective analysis was conducted using clinical data from 921 patients with chronic cough treated at the Respiratory Department of Dongfang Hospital， Beijing University of Chinese Medicine. After standardized processing， 84 clinical features were extracted to determine TCM syndrome types. A specialized dataset for TCM syndrome diagnosis in chronic cough was formed by selecting syndrome types with more than 50 cases. The synthetic minority over-sampling technique （SMOTE） was employed to balance the dataset. Four base models， logistic regression （LR）， decision tree （dt）， multilayer perceptron （MLP）， and Bagging， were constructed and integrated using a hard voting strategy to form a Voting ensemble model. Model performance was evaluated using accuracy， recall， precision， F1-score， receiver operating characteristic （ROC） curve， area under the curve （AUC）， and confusion matrix. ResultsAmong the 921 cases， six syndrome types had over 50 cases each， phlegm-heat obstructing the lung （294 cases）， wind pathogen latent in the lung （103 cases）， cold-phlegm obstructing the lung （102 cases）， damp-heat stagnating in the lung （64 cases）， lung yang deficiency （54 cases）， and phlegm-damp obstructing the lung （53 cases）， yielding a total of 670 cases in the specialized dataset. High-frequency symptoms among these patients included cough， expectoration， odor-induced cough， throat itchiness， itch-induced cough， and cough triggered by cold wind. Among the four base models， the MLP model showed the best diagnostic performance （test accuracy： 0.9104； AUC： 0.9828）. Compared with the base models， the Voting ensemble model achieved superior performance with an accuracy of 0.9289 on the training set and 0.9253 on the test set， showing a minimal overfitting gap of 0.0036. It also achieved the highest AUC （0.9836） in the test set， outperforming all base models. The model exhi-bited especially strong diagnostic performance for damp-heat stagnating in the lung （AUC： 0.9984） and wind pathogen latent in the lung （AUC： 0.9970）. ConclusionThe Voting ensemble algorithm effectively integrates the strengths of multiple machine learning models， resulting in an optimized diagnostic model for TCM syndromes in chronic cough with high accuracy and enhanced generalization ability.

In the past few decades, microbubbles were widely used as ultrasound contrast agents in the field of tumor imaging. With the development of research, ultrasound targeted microbubble destruction technology combined with drug-loaded microbubbles can achieve precise drug release and play a therapeutic role. As a micron-scale carrier, microbubbles are difficult to penetrate the endothelial cell space of tumors, and nano-scale drug delivery system—nanobubbles came into being. The structure of the two is similar, but the difference in size highlights the unique advantages of nanobubbles in drug delivery. Based on the classification principle of shell materials, this review summarized micro/nanobubbles used for ultrasound diagnosis or treatment and discussed the possible development directions, providing references for the subsequent development.

BACKGROUND:Total hip and knee arthroplasty is widely used in the elderly population,but there is a lack of accurate prediction methods for unplanned readmission and postoperative complications. OBJECTIVE:To investigate the effect of the Rothman index on unplanned readmission and complications in elderly patients undergoing total hip and knee arthroplasty. METHODS:A total of 153 patients who underwent elective total hip and knee arthroplasty from December 2020 to December 2022 in Ward Area One,Department of Orthopedics,The First People's Hospital of Zunyi were selected as the study subjects.According to whether they were unplanned readmission within 90 days after discharge,they were divided into a readmission group(n=21)and a non-readmission group(n=132).The general data of all patients were collected through the electronic medical record system,including gender,age,body mass index,diabetes mellitus,hypertension,and surgical joint type.The Rothman index was evaluated according to the literature.Postoperative complications were counted. RESULTS AND CONCLUSION:(1)There was no significant difference in gender,body mass index,surgical joint type,and length of hospital stay between the readmission group and the non-readmission group(P>0.05).There were significant differences in the number of comorbidities,age,and Rothman score between the two groups(P<0.05).(2)The results of multivariate Logistics regression analysis showed that the number of comorbidities,age,and Rothman score were independent influencing factors for readmission 90 days after total hip and knee arthroplasty in elderly patients with hip and knee diseases(P<0.05).(3)The results of receiver operating characteristic curve analysis exhibited that the area under the curve of the Rothman index for predicting readmission 90 days after total hip and knee arthroplasty was 0.824;the sensitivity was 80.85%;the specificity was 78.85%;the maximum Youden index was 0.597,and the optimal cutoff value was 46 points.(4)The incidence of total complications in elderly patients with Rothman<46 was higher than that in elderly patients with Rothman≥46(P<0.05).(5)It is concluded that the Rothman index can accurately predict unplanned readmission after total hip and knee arthroplasty in elderly patients with hip and knee joint diseases.Simultaneously,patients with Rothman index of less than 46 points have a higher overall risk of complications and poor joint recovery,which can be used to improve postoperative management of patients in clinical practice.

Wuhutang is the 51st Chinese medicine prescription of Han ethnic group on in the catalogue of ancient classical prescriptions （the second batch） ，which originated from Renzhai' Straight Diections Prescriptions （《仁斋直指方》） by YANG Shiying in the Song dynasty，it is composed of 5 medicines， including Ephedrae Herba，Armeniacae Semen Amarum， Glycyrrhizae Radix et Rhizoma， tea and Gypsum Fibrosum. It treats shortness of breath and phlegm. Following the principle of textual research on the key information of ancient classical famous prescriptions， the author collected and recorded the ancient books of traditional Chinese medicine of Wuhutang with the method of Bibliometrics， and screened out 53 valid data， involving 41 ancient books. Based on the historical evolution， drug composition， main treatment of disease and syndrome， drug dosage， method of preparation and usage， drug origin and processing， the author conducted a dig and a systematic study of Wuhutang. The results show that：in the later generations， besides inheriting the original prescription， the composition of medicine was added or subtracted， and the frequency of addition of Mori Cortex was the most；in the treatment of disease and syndrome， most of them inherited the original prescription mainly treating asthma syndrome， also see in the treatment of asthma， cough and other lung disease， in the drug dosage and method of use ， it is suggested to inherit the original prescription， the dosage of each medicine is： Ephedrae Herba 2.89 g， Armeniacae Semen Amarum 4.13 g， Glycyrrhizae Radix et Rhizoma 1.65 g， tea 3.30 g， Gypsum Fibrosum 6.20 g， decoction， take warm clothes before eating；on the source of medcine，ephedra is made from the dried herbaceous stems of Ephedra sinica （Ephedraceae），bitter almond is made from the dried and mature seeds of Prunus armeniaca （Rosaceae），Licorice is made from the dried roots and rhizomes of Glycyrrhiza uralensis（Legumes）， tea is made from the buds leaves of Camellia sinensis（Camellia），plaster is made from Gypsum Fibrosum of sulfate mineral gypsum family. At the same time， we collected and sorted the modern clinical application literature of Wuhutang， and obtained 73 effective literatures， all of which are for the treatment of respiratory system diseases， especially for children's pneumonia and asthma， and mostly belong to"phlegm-heat obstructing the lung syndrome". Through the analysis and study of ancient books and modern applied literature， the historical evolution and prescription evolution of Wuhutang are clarified， and its key information is determined， in order to provide more accurate reference for the research and development of the classic Wuhutang and the rational addition and subtraction of the application.

Atherosclerosis caused by disorders of lipid metabolism is the main pathological basis of atherosclerotic cardiovascular disease.Statins are the cornerstone of lipid-modulating therapy for this type of disease,but in practice there are still some patients with suboptimal lipid management.Proprotein convertase subtilisin/kexin type 9(PCSK9)inhibitors have been gradually applied as a new class of lipid-modulating drugs for the treatment in patients with this type of disease,and recent studies have shown that in addition to regulating lipid metabolism,PCSK9 inhibitors also have potential anti-inflammatory and anti-platelet activation effects.This article sorts out the multiple pharmacological mechanisms of action of PCSK9 inhibitors and the current status of clinical research of PCSK9 inhibitors.Besides,it discusses the factors that may affect the efficacy of PCSK9 inhibitors,in order to provide a reference for the safe and rational medication of PCSK9 inhibitors.

Objective:To analyze the risk factors of internalizing problems in adolescents aged 12 to 18 years,and provide supporting evidence for the scientific prevention and effective control of internalizing problems in adolescents.Methods:By systematically searching the Chinese and English databases such as CNKI,VIP,Wan-fang,PubMed,Web of Science,Psychology and Behavioral Sciences Collection,PsycInfo,PsycArticles and ERIC,literature on risk factors of internalizing problems among adolescents in the past 22 years was collected,and non-clinical literature using CBCL or YSR or TRF scales to measure related internalizing problems were included.Meta analysis was performed using CMA3.0,with r as the effect size indicator and random effects model combined with the effect size of risk factors.Results:Finally,77 and 18 risk factors literatures were included,including 7 risk fac-tors of individuals,7 risk factors of family,and 4 risk factors of school/community.The average correlation between family risk factors and internalizing problems of adolescents was the highest.Among family risk factors,parent-child attachment had the highest correlation.Conclusion:Individual risk factors,family risk factors and school/com-munity risk factors are significantly positively correlated with adolescent internalizing problems,and family risk fac-tors(especially parent-child attachment quality)have the highest correlation with adolescent internalizing problems.

Perimenopausal syndrome （MPS）， a common endocrine system disease， is one of the diseases responding specifically to traditional Chinese medicine （TCM）. The China Association of Chinese Medicine organized experts in endocrinology， gynecology， and interdisciplinary fields of both Western and Chinese medicine to discuss the advantages and challenges of diagnosing and treating MPS with Western medicine， TCM， and integrative medicine. Experts at the conference believe that MPS is initiated by estrogen decline and rooted in deficiency， with the pathogenesis being imbalance between Yin and Yang in the kidney. The hormone replacement therapy in Western medicine for menopause can rapidly alleviate related symptoms by quickly restoring the estrogen level and timely detect and delay complications of menopause， whereas such a therapy has certain risks， necessitating close monitoring of adverse reactions. Moreover， the various contraindications and precautions limit the clinical application of the hormone replacement therapy. TCM has advantages in synergistically alleviating symptoms such as hot flashes， sweating， sleep disorders， and emotional abnormalities of MPS without causing obvious adverse reactions. However， its efficacy is slower than the hormone replacement therapy， and the TCM evidence for preventing and treating complications of menopause remains unclear. Three suggestions were proposed for the future development of both Western and TCM for ameliorating MPS. First， an integrated diagnosis and treatment system for MPS with both Western and Chinese medicine should be established. Second， high-quality evidence-based interventions for MPS should be developed with TCM alone or in combination with Western medicine. Third， efforts should be made to promote the new TCM drug development and the interdisciplinary cooperation for treating MPS.