In this paper， by referring to ancient and modern literature， the textual research of Inulae Flos has been conducted to clarify the name， origin， production area， quality evaluation， harvesting， processing and others， so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research， it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties， Xuanfuhua has been taken as the official name， and it also has other alternative names such as Jinfeicao， Daogeng and Jinqianhua. The period before the Song and Yuan dynasties， the main origin of Inulae Flos was the Asteraceae plant Inula japonica， and from the Ming and Qing dynasties to the present， I. japonica and I. britannica are the primary source. In addition to the dominant basal species， there are also regional species such as I. linariifolia， I. helianthus-aquatili， and I. hupehensis. The earliest recorded production areas in ancient times were Henan， Hubei and other places， and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower， the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months， and dried in the sun， and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom， in order to remove impurities， dry in the shade or dry in the sun. In addition， the roots， whole herbs and aerial parts are used as medicinal materials. In ancient times， there were no records about the quality of Inulae Flos， and in modern times， it is generally believed that the quality of complete flower structure， small receptacles， large blooms， yellow petals， long filaments， many fluffs， no fragments， and no branches is better. Ancient processing methods primarily involved cleaning， steaming， and sun-drying， supplemented by techniques such as boiling， roasting， burning， simmering， stir-frying， and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties， ancient texts describe it as salty and sweet in taste， slightly warm in nature， and mildly toxic. Modern studies characterize it as bitter， pungent， and salty in taste， with a slightly warm nature. Its therapeutic effects remain consistent across eras， including descending Qi， resolving phlegm， promoting diuresis， and stopping vomiting. Based on the research results， it is recommended that when developing famous classical formulas containing Inulae Flos， either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements， where no processing instructions are specified， the raw products may be used after cleaning.

In this paper， by referring to ancient and modern literature， the textual research of Inulae Flos has been conducted to clarify the name， origin， production area， quality evaluation， harvesting， processing and others， so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research， it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties， Xuanfuhua has been taken as the official name， and it also has other alternative names such as Jinfeicao， Daogeng and Jinqianhua. The period before the Song and Yuan dynasties， the main origin of Inulae Flos was the Asteraceae plant Inula japonica， and from the Ming and Qing dynasties to the present， I. japonica and I. britannica are the primary source. In addition to the dominant basal species， there are also regional species such as I. linariifolia， I. helianthus-aquatili， and I. hupehensis. The earliest recorded production areas in ancient times were Henan， Hubei and other places， and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower， the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months， and dried in the sun， and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom， in order to remove impurities， dry in the shade or dry in the sun. In addition， the roots， whole herbs and aerial parts are used as medicinal materials. In ancient times， there were no records about the quality of Inulae Flos， and in modern times， it is generally believed that the quality of complete flower structure， small receptacles， large blooms， yellow petals， long filaments， many fluffs， no fragments， and no branches is better. Ancient processing methods primarily involved cleaning， steaming， and sun-drying， supplemented by techniques such as boiling， roasting， burning， simmering， stir-frying， and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties， ancient texts describe it as salty and sweet in taste， slightly warm in nature， and mildly toxic. Modern studies characterize it as bitter， pungent， and salty in taste， with a slightly warm nature. Its therapeutic effects remain consistent across eras， including descending Qi， resolving phlegm， promoting diuresis， and stopping vomiting. Based on the research results， it is recommended that when developing famous classical formulas containing Inulae Flos， either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements， where no processing instructions are specified， the raw products may be used after cleaning.

Hygroscopicity research has long been a key focus and hot topic in Chinese materia medica（CMM）. Elucidating hygroscopic mechanisms plays a vital role in formulation design， process optimization， and storage condition selection. Hygroscopic models serve as essential tools for characterizing CMM hygroscopic mechanisms， with various types available. The double exponential model is a kinetic mathematical model constructed based on the law of conservation of energy and Fick's first law of diffusion， tailored to the physical properties of CMM extracts. In recent years， this model has been extensively applied to simulate the dynamic moisture absorption behavior of CMM extracts and solid dosage forms under varying humidity conditions. It has revealed the correlation between moisture absorption kinetic parameters and material properties， offering a new perspective for characterizing the moisture uptake behavior of CMM. This paper systematically reviews the application progress of this model in the field of CMM， analyzes its advantages， disadvantages， and challenges in this domain， and explores its potential application trends in other fields. It aims to provide references for elucidating the moisture absorption mechanisms of CMM and researching moisture-proofing technologies， while also offering insights for its broader application in food and polymer materials.

OBJECTIVE To compare the efficacy and safety of evolocumab and probucol in patients with ultra-high-risk atherosclerotic cardiovascular disease （ASCVD） following percutaneous coronary intervention （PCI）. METHODS A retrospective analysis was conducted on 156 ultra-high-risk ASCVD patients who underwent PCI in our institution between January 1， 2023 and December 31， 2024. According to the lipid-lowering regimen， the patients were categorized into evolocumab group （ n ＝86） and probucol group （ n ＝70）. Changes in lipid parameters [total cholesterol （TC）， low-density lipoprot ein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， triglycerides， lipoprotein （a）， and lipid goal achievement rate ] ， inflammatory markers [interleukin-6 （IL-6） and C-reactive protein （CRP） ] ， and cardiac function indices （left ventricular ejection fraction， left ventricular end-systolic diameter， left ventricular end-diastolic diameter， and N-terminal pro-B-type natriuretic peptide） were compared between two groups at baseline and after 6 months of treatment. The incidence of adverse clinical events during treatment， including acute myocardial infarction， in-stent restenosis， acute heart failure， cerebral hemorrhage， and stroke， was also evaluated. RESULTS No statistically significant differences were observed between the two groups at baseline （ P ＞0.05）. After 6 months of treatment， both groups demonstrated significant improvements in lipid profiles （except HDL-C） and inflammatory markers compared to those at baseline （ P ＜0.05）. The evolocumab group exhibited greater reductions in TC， LDL-C， IL-6， and CRP， along with a higher lipid target achievement rate， compared with the probucol group （ P ＜0.05）. There were no statistically significant differences in the cardiac function-related indicators before and after treatment between the two groups， nor in the incidence of adverse events during the treatment （ P ＞0.05）. CONCLUSIONS For ultra-high-risk ASCVD patients after PCI， both of the above treatment options are associated with improvements in blood lipid and inflammatory response， with good safety during short-term follow-up. Evolocumab shows superior efficacy in TC， LDL-C and inflammatory markers reduction and lipid target achievement， compared to probucol.

This article adopts Professor CHEN Chaozu′s " sanjiao composed by membrane-striae" theory as its foundation to explore the relationship between irritable bowel syndrome and functional/structural abnormalities of the membrane-striae. Sanjiao encompasses both the tangible membrane and the intangible striae. These striae permeate the entire body，and their pathological changes comprehensively reflect qi，body fluids，and fasciae. Based on the physiological function of the membrane-striae in regulating qi and fluids，the pathogenesis of irritable bowel syndrome is characterized by a disharmony of membrane-striae and an imbalance of the qi-fluid interactions. In the early stage，external pathogens，emotional factors，or dietary stimuli often cause membrane-striae constriction and disordered qi-fluid circulation. In the middle stage，stagnant fluids gradually transform into phlegm retention，leading to membrane-striae obstruction. In the late stage，deficiency of vital qi becomes predominant，manifesting as laxity of membrane-striae with impaired control or weakened conduction. The treatment of irritable bowel syndrome should adopt " unblocking" as the guiding principle. In the early stage，therapy should focus on eliminating pathogenic factors and soothing membrane-striae to promptly restore qi-fluid circulation，thereby attaining unblocking through spasm relief. In the middle stage，treatment should focus on resolving tangible obstructions in membrane-striae，achieving unblocking via dredging. In the late stage，the emphasis should shift to reinforcing healthy qi，particularly by strengthening spleen-kidney yang qi，and achieving unblocking through supplementation. Concurrently，throughout the entire treatment process，the regulation of mental state and easing of emotional tension should be integrated to alleviate patient′s anxiety，achieving the goal of holistic treatment of both body and mind.

OBJECTIVE To introduce the development of an intelligent prescription review decision-support system for anti-tumor drugs and assess its clinical application outcomes. METHODS Relevant data sources， including national and local pharmaceutical administration policies， clinical practice guidelines/consensus， hospital information systems data， and genetic testing results， were integrated. Adhering to the principles of structure， standardization and dynamic updating， a knowledge base covering chemotherapeutic， targeted and immunotherapeutic agents was constructed using a dual-dimensional modeling approach that combined “drug attributes” and “clinical contexts”. This knowledge base was then embedded into the hospital’s electronic medical order system to establish the prescription review decision-support system. The application and performance of the system were evaluated at Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. RESULTS A knowledge base containing 18 318 prescription review rules for anti-tumor drugs was constructed， and a closed-loop prescription review system was successfully established， encompassing pre-prescription real-time intervention， in-process interactive review， and post-prescription evaluation and analysis. From 2021 to 2024， the system generated a total of 57 879 alerts for prescriptions of five typical categories of anti-tumor drugs. For platinum-containing prescriptions， 22 577 alerts were generated， with Cisplatin for injection （lyophilized） being the most frequently alerted drug （13 445 alerts）， and “ototoxicity risk due to combined use” alerts remained high （7 682 alerts）. For methotrexate-containing prescriptions， 3 721 alerts were recorded， primarily related to “precaution-related issues” （76.4%， 2 843/3 721）. For doxorubicin-containing prescriptions， 17 301 alerts were triggered， primarily related to “dosage and administration” （14 315 alerts）. For human epidermal growth factor receptor 2-targeted agents-containing prescriptions， 1 007 alerts were issued， mostly related to “reimbursement restrictions” （956 alerts）. For programmed death-1/programmed death-ligand 1 inhibitors-containing prescriptions， the alerts increased year by year， totaling 13 273 alerts， primarily related to “inappropriate indication” （9 118 alerts）. Over the 4 years， the physician response rates to system alerts were 21.4%， 27.1%， 33.5% and 51.6%， respectively. CONCLUSIONS An intelligent decision-support system for anti-tumor drug prescription review， encompassing a closed-loop process of “real-time pre-event intervention， interactive in-event prescription review， post-event evaluation and analysis”， has been successfully constructed and implemented throughout the entire workflow. There is a discernible trend in this hospital， where the focus on monitoring anti-tumor drugs is shifting towards immunotherapy drugs. Additionally， the acceptance rate of physicians regarding prescription review opinions has been steadily increasing year by year.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

ObjectiveTo investigate the antiviral efficacy of pegylated interferon α-2b （PEG-IFN-α-2b） in patients with HBV-related liver cirrhosis， to assess the safety and tolerability of this regimen， and to provide evidence-based medical evidence for optimizing the treatment strategies for patients with HBV-related compensated liver cirrhosis. MethodsA prospective study was conducted among 115 patients with HBV-related compensated liver cirrhosis and 114 patients with CHB who attended Third People’s Hospital of Taiyuan from January 2023 to March 2024. Treatment-naïve patients received PEG-IFN-α-2b monotherapy， while the patients once treated with nucleos（t）ide analogues （NAs） received PEG-IFN-α-2b add-on therapy. The patients with HBV-related compensated liver cirrhosis were followed up at baseline and at 12， 24， 36， and 48 weeks of treatment. Samples were collected from CHB patients at baseline and at the end of follow-up to assess virological indicators， routine blood test results， and liver function. The chi-square test was used for comparison of categorical data between groups； the independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the one-way repeated measures analysis of variance was used for comparison among different time ponts within the same group，and the Bonferroni was applied for post-hoc pairwise comparisons； the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups， and the Friedman test was used for comparison across different time points within the same group， and the Nemenyi test was utilized for subsequent pairwise comparisons. The multivariate stepwise Logistic regression analysis was used to investigate the influencing factors for clinical cure. ResultsCompared with the CHB group， the HBV-related compensated liver cirrhosis group had a significantly higher mean age （43.50±9.97 years vs 40.90±8.16 years， t=2.160， P=0.032）， a significantly higher proportion of patients with hepatitis B e antigen at baseline （28.70% vs 15.79%， χ²=4.788， P=0.029）， and a significantly lower platelet level ［（178.67±55.07）×10⁹/L vs （194.93±55.79）×10⁹/L， t=2.217， P=0.028］. Compared with the CHB group at the end of follow-up， the HBV-related compensated liver cirrhosis group had significantly lower HBV surface antigen （HBsAg） clearance rate （10.38% vs 33.04%， χ²=14.988， P<0.001） and HBV surface antibody positive rate （0.00% vs 19.64%， χ²=21.041， P<0.001）. Compared with the CHB group at the end of follow-up，the HBV-related compensated liver cirrhosis group had significantly lower aminotransferase levels ［ALT： 31.00（19.00～47.50） U/L vs 40.00（27.00～57.00） U/L， Z=2.433， P<0.05； AST： 31.00（23.00～45.50） U/L vs 37.00（25.00～52.00） U/L， Z=1.963， P<0.05］， but significantly higher level of white blood cells （WBC） ［（4.02±1.56）×10⁹/L vs （3.59±1.24）×10⁹/L， t=2.272， P<0.05］， neutrophils ［（2.39±1.17）×10⁹/L vs （1.87±0.94）×10⁹/L， t=3.284， P<0.05］， and platelets ［（143.93±68.10）×10⁹/L vs （121.88±49.72）×10⁹/L， t=2.588， P<0.05］. A lower level of HBsAg （OR=0.997， 95%CI： 0.996　—　0.999， P<0.001） and previous treatment with NAs （OR=5.889， 95%CI： 2.195　—　17.330， P<0.001） were positive predictive factors for clinical cure， while liver cirrhosis （OR=0.177， 95%CI： 0.063　—　0.470， P<0.001） was a negative predictive factor for clinical cure. During follow-up， no patients experienced acute decompensation or progression to hepatocellular carcinoma， and the main adverse events included fever， fatigue， reductions in WBC and platelets， weight loss， alopecia， and thyroid dysfunction. In the subgroup analysis of HBV-related compensated liver cirrhosis， in both the treatment-naïve patients and the patients previously treated with NAs， there was a significant reduction in HBsAg level from baseline to week 36 of treatment ［treatment-naïve： 99.25 （5.87　—　1 212.35） IU/mL vs 403.47 （36.94　—　2 569.02） IU/mL， P<0.05； previously treated with NAs： 205.94 （14.00　—　737.80） IU/mL vs 427.03 （65.64　—　1 552.65） IU/mL， P<0.05］ and week 48 of treatment ［treatment-naïve： 85.45 （0.58　—　827.56） IU/mL vs 403.47 （36.94　—　2 569.02） IU/mL， P<0.05； previously treated with NAs： 45.28 （0.16　—　267.27） IU/mL vs 427.03 （65.64　—　1 552.65） IU/mL， P<0.05］. There were significant increases in the levels of aminotransferases during treatment， as well as significant reductions in the levels of WBC， neutrophils， platelets， and hemoglobin （all P<0.05）. ConclusionAlthough a finite course of PEG-IFN-α-2b therapy has achieved a relatively low rate of clinical cure in the treatment of HBV-related compensated liver cirrhosis， it can still significantly reduce the level of HBsAg， and this treatment regimen has good safety and tolerability， without accelerating disease progression.

Objective: To assess the status of sexual behaviors, HIV/AIDS knowledge awareness, and novel synthetic drug use among school attending young students in Guangdong Province, so as to provide evidence base for formulating targeted intervention strategies. Methods: From September to December 2024, a convenience sampling method was employed to conduct an anonymous online survey among 41 119 students from 20 higher education institutions and vocational colleges in Guangdong Province. Chi square test was utilized for rate comparisons and univariate analysis, and a multivariate Logistic regression model was applied to analyze factors associated with novel synthetic drug use. Results: The self reported rate of sexual behavior was 5.2%. Among sexually active students, the rates of unprotected sexual intercourse, having temporary sexual partners, and having commercial sexual partners were 32.4%, 34.5%, and 26.3%, respectively. The awareness rate of HIV related knowledge was 75.7%. The overall use rate of novel psychoactive substances(NPS) was 1.0%, and among sexually active students it was 6.5%. Multivariate Logistic regression analysis showed that students with sexual experience ( OR =4.15) and those with HIV testing history ( OR =9.38) had higher risks of NPS use; among sexually active students, those with unprotected sexual intercourse ( OR =6.83) and those with commercial sexual partners ( OR = 4.68 ) had higher risks of NPS use (all P <0.05). Conclusions The HIV/AIDS knowledge level among surveyed students needs further improvement, and high risk sexual behaviors are cross linked with novel synthetic drug use. It is recommended to carry out integrated health education for all students and implement comprehensive targeted interventions for sexually active students.

OBJECTIVE To explore the main factors influencing the blood concentration of duloxetine， and provide a scientific basis for the individualized use of duloxetine. METHODS Retrospective analysis was conducted on 434 inpatients with depressive disorders at the First Hospital of Hebei Medical University， who were treated with duloxetine and underwent blood concentration monitoring between January 2022 and April 2024. The study examined the impact of various factors， including gender， age， body mass index （BMI）， gene phenotypes， combined medication， drug type （original/generic）， and genotyping results of gene single nucleotide polymorphism loci， on blood concentration and the concentration-to-dose （C/D） after dose adjustment. RESULTS The blood concentration of duloxetine was 76.65 （45.57， 130.31） ng/mL， and C/D was 0.96 （0.63， 1.60） ng·d/（mL·mg）. The blood concentration of duloxetine was positively correlated with the daily dose of administration （R2＝0.253 7， P＜0.001）. Blood concentration of duloxetine in 38.94% of patients exceeded the recommended range specified in the guidelines. Gender， age， BMI， combined use of CYP2D6 enzyme inhibitors， and CYP2D6 and CYP1A2 phenotypes had significant effects on C/D of duloxetine （P＜0.05）. CONCLUSIONS The patient’s age， gender， BMI， combined medication， and genetic phenotypes are closely related to the blood concentration of duloxetine.