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.

Objective: To analyze adverse event following immunization(AEFI) with the domestic bivalent human papilloma virus (HPV) vaccine among female students in primary, junior, and senior high schools in Hebei Province from 2022 to 2024, aiming to provide evidence for the vaccination program. Methods: On May 14, 2025, AEFI case data and vaccination data for the domestic bivalent HPV vaccine among female students in primary, junior, and senior high schools in Hebei Province from 2022 to 2024 were collected from the China Disease Control and Prevention Information System and the Hebei Provincial Immunization Program Information Management System, respectively. Statistical analysis was performed by using descriptive and analytical epidemiological methods, with intergroup comparisons conducted by using the Chi square test or Fisher s exact probability test. Results: From 2022 to 2024, a total of 817 900 doses of the domestic bivalent HPV vaccine were administered to female students in primary, junior, and senior high schools in Hebei Province. A total of 68 AEFI cases were reported, comprising 57 common vaccine reactions, 7 rare vaccine reactions, 3 coincidental events, and 1 psychogenic reaction. The overall AEFI reporting rate was 8.31 per 100 000 doses, 4 cases (2.30/100 000 doses), 31 cases (8.73/100 000 doses), and 33 cases (11.41/100 000 doses) were reported in 2022, 2023, and 2024, respectively, with a statistically significant difference across years ( χ 2=10.97, P <0.01). The reporting rates for common and rare vaccine reactions were 6.97 per 100 000 doses and 0.86 per 100 000 doses, respectively. The AEFI reporting rates were 15.14 per 100 000 doses among primary school girls and 8.20 per 100 000 doses among secondary school girls, though the difference was not statistically significant (Fisher s exact test, P =0.30). The reporting rate was higher after the first dose (10.91/100 000 doses) than after the second dose (5.96/100 000 doses; χ 2=5.85, P =0.02).The second quarter recorded the highest AEFI reporting rate at 11.21 per 100 000 doses. The majority of AEFI cases (56 cases, 82.35%) occurred within 24 hours post vaccination. Conclusion The domestic bivalent HPV vaccine demonstrates a favorable safety profile among female students in Hebei Province, with a low overall AEFI reporting rate that consisted predominantly of general reactions and occasional cardiac related reactions.

ObjectiveTo construct a risk prediction model for frequent acute exacerbations of chronic obstructive pulmonary disease （COPD） under disease-syndrome combination， thus providing decision support for precise clinical intervention. MethodsA total of 2 029 patients with acute exacerbations of COPD admitted to the First Affiliated Hospital of Anhui University of Chinese Medicine from January 2020 to August 2024 were retrospectively included. These patients were classified into groups of frequent acute exacerbations （≥2 times/year） and infrequent acute exacerbations （<2 times/year） according to the hospitalization times per year. Risk factors were screened by LASSO regression combined with logistic regression， and a nomogram model was constructed. The model performance was assessed based on the area under the curve （AUC）， calibration curves， and decision curve analysis （DCA）. ResultsThe differences in baseline characteristics between the frequent acute exacerbations group （1 196 cases） and infrequent acute exacerbations group （833 cases） were not statistically significant. LASSO regression combined with multivariate logistic regression screened the following independent risk factors： body mass index （BMI）， hospitalization days， number of smoking years， place of residence， use of noninvasive ventilators， oxygen-demanding therapy， liver cirrhosis， use of systemic glucocorticosteroids， and traditional Chinese medicine syndrome （phlegm and stasis obstructing the lung）. The nomogram model showed good discrimination and calibration in both the training set （AUC=0.748） and validation set （AUC=0.774）. ConclusionThe risk prediction model for frequent acute exacerbations of COPD， integrating traditional Chinese medicine syndrome， constructed in this study has high accuracy. It can provide a scientific basis for early clinical identification of high-risk patients and individualized intervention.

Aromatic Chinese medicinal essential oils are volatile oils extracted from aromatic Chinese herbs， which can prevent and treat respiratory infectious diseases through multiple synergistic mechanisms including pathogen inhibition， immune regulation， and inflammatory response regulation. Essential oils are primarily used externally on the body to prevent infections and alleviate symptoms through methods like inhalation， smearing， topical application， bathing， gargling or as a suppository. They can also be utilized in the environment for disinfection and air purification， through methods like diffusion， vaporization， or spraying. The external application of essential oils extracted from Chinese aromatic herbs has the advantages of convenience， quick absorption， and simultaneous influence on both the body and mind. However， there are still challenges and deficiencies in aspects such as the positioning of functions， indications， safety， and the research on the mechanism of action. It has been proposed to combine the theory of aromatic Chinese medicinals with the characteristics of essential oils， and formulate prescriptions of Chinese medicinal essential oils under the principles of traditional Chinese medicine syndrome differentiation， and prevent and treat respiratory infectious diseases efficiently， accurately， and safely， thereby expanding the clinical application of aromatic Chinese medicinals and the preventive theory of traditional Chinese medicine.

Antibody drug conjugates (ADC) have emerged as a cutting-edge technology in anti-tumor treatment, making significant strides in recent years. ADC couple a highly active small molecule toxin payload to highly specific antibodies through a linker, enabling precise targeting of tumor cells while reducing systemic toxicity, thereby expanding the therapeutic window. However, due to the complexity of ADC molecule design, its efficacy and safety are influenced by various factors. Model-informed drug development (MIDD) is a powerful tool that utilizes various mathematical models for modeling and simulation to conduct quantitative analysis, guiding drug development and decision-making. By integrating multi-faceted data and information using mathematical models, it is possible to gain insights into the complex mechanisms, pharmacokinetics, and pharmacodynamics of ADC, providing unique perspectives for optimizing ADC development processes and clinical translation decisions. This review will introduce the basic concepts of MIDD and ADC and discuss application cases of MIDD in different stages of ADC development, aiming to provide beneficial references for the advancement of ADC.

The auxin/indole-3-acetic acid (Aux/IAA) gene family is an important regulator for plant growth hormone signaling, involved in plant growth, development, as well as response to environmental stresses. In the present study, we identified SmIAA7 which is potentially associated with Salvia miltiorrhiza leaf development through comparatively analyzed the transcriptome data from different pinnate leaves. SmIAA7 was successfully isolated from S. miltiorrhiza using the specific primers. Then subsequent bioinformatic analysis, prokaryotic expression and purification, subcellular localization, and induction expression analysis under auxin and abiotic stress were performed. The full-length of SmIAA7 contained an ORF of 684 bp encoding a protein of 227 amino acid with a molecular weight of 25.3 kD. Conserved domain analysis showed that SmIAA7 contains the conserved Aux_IAA domain (pfam02309). Sequence analysis and phylogenetic tree analysis results indicated SmIAA7 was phylogenetically close to IAA7 and IAA14 from other plants, suggesting SmIAA7 involved in plant growth and development as well as response to environmental stresses. The prokaryotic expression vector pET28a-SmIAA7 was constructed and SmIAA7 recombinant protein was successfully expressed in E. coli Rosetta (DE3) strain. Subcellular localization experiment demonstrated that SmIAA7 localized in the nucleus of plant cells. Real-time fluorescence quantitative PCR results showed that the expression level of SmIAA7 was upregulated in response to auxin. Drought, low temperature, and salt stress significantly increased the transcript level of SmIAA7 gene. This study lays a foundation for further elucidating the role of SmIAA7 in leaf development, signal transduction, and stress defense in S. miltiorrhiza.

Objective: To explore the correlation among picky eating levels in preschool children, parental self-efficacy and parenting stress. Methods: A convenience sampling method was employed to conduct an electronic questionnaire survey among 459 children aged 3-6 years and their parents from five kindergartens in Urumqi in November 2023. The survey included a general information questionnaire, the Children s Eating Behavior Questionnaire (CEBQ), the Parenting Sense of Competence Scale (PSOC), and the Parenting Stress Index-Short Form (PSI-SF). The Mann-Whitney U-test was used for twogroup comparisons, and the Kruskal-Wallis H-test was applied for multi-group comparisons. Spearman correlation analysis was conducted to examine the relationships between children s picky eating levels and parenting selfefficacy as well as parenting stress. Results: The picky eating score of preschool children was 10.00 (4.00), and the parenting self-efficacy score was 58.00 (12.00), both indicating a moderate level. The parenting stress score was 75.00 (16.00), reflecting a moderately low level. Spearman correlation analysis showed that children s picky eating levels were negatively correlated with the total score of parenting self-efficacy ( r =-0.28) and positively correlated with the total score of parenting stress( r =0.25)( P <0.01). Conclusions Picky eating levels of preschool children are closely associated with parenting self-efficacy and parenting stress. Picky eating behaviors in children can be reduced by implementing various effective measures to enhance parenting self-efficacy and alleviate parenting stress.

ObjectiveTo understand the measles, rubella, and mumps antibody seroprevalence among the children aged 18 years and younger in Karamay City, and to evaluate the effectiveness of vaccination. MethodsA stratified whole cluster random sampling method was used to investigate the antibody seroprevalence of measles, rubella, and mumps among the healthy children aged 18 years and younger in Karamay City, and to further analyze the positive antibody rates and the geometric mean concentration (GMC) of antibodies. ResultsA total of 620 people were investigated, and the positive rates of IgG to measles, rubella, and mumps were 72.74%,62.26%, and 86.45%, respectively, with a GMC of308.94 mIU·mL^-1, 21.81 mIU·mL^-1, and 249.10 U·mL^-1. There were statistically significant differences in the positive rates of antibodies to measles, rubella, and mumps among different age groups (χ²_measles=76.707, P<0.001; χ²_rubella=60.804, P<0.001; χ²_mumps=35.407, P<0.001). The differences in positive rates were statistically significant among individuals with different intervals from the time of their last dose vaccination (χ²_measles=60.533, P<0.001; χ²_rubella=46.331, P<0.001; χ²_mumps=22.825, P<0.001). ConclusionThe antibody levels of measles, rubella and mumps among the people aged 18 years and younger in Karamay City are found to be low. Two doses of measles-mumps-rubella (MMR) vaccine should be given to children born before 2020, and if necessary, supplementary immunization with MMR vaccine should be carried out before they are enrolled in nursery and kindergarten. Additionally, regular population-based antibody surveillance should be conducted to promptly identify the people with weak immunity, which is conducive to effectively reducing and controlling the epidemic situation of measles, rubella and mumps in schools.

Objective: To investigate the risk factors affecting the early diagnosis of ABO-hemolytic disease of the fetus and newborn (ABO-HDFN) in neonates with maternal-fetal blood group incompatibility, and to develop a risk prediction model and validate its predictive performance, so as to provide a reference for the early diagnosis of neonates with ABO-HDFN in primary hospitals. Methods: A total of 1 229 neonates with maternal-fetal blood group incompatibility suspected of ABO-HDFN, admitted to our hospital between between June 2021 and September 2024, were enrolled. The sample size was calculated by using the events per variable (EPV) method. The cohort was divided into a modeling group (n=860) and a validation group (n=369), and the results and clinical information of laboratory examination indicators were collected. Univariate and multivariate logistic regression analysis were used to explore the risk factors affecting the early diagnosis of ABO-HDFN in neonates with maternal-fetal blood group incompatibility. The risk prediction model was developed and internally validated by the Bootstrap method. The goodness-of-fit of the model was evaluated by the Hosmer-Lemeshow (H-L) test, and the receiver operating characteristic (ROC) curve was used to analyze the predictive performance of the model. The prediction model was validated by using the validation group data, and the predictive performance of the model was evaluated. Results: Among the 860 neonates with maternal-fetal incompatibility in the modeling group, 346 (346/860, 40.23%) were diagnosed with ABO-HDFN. Univariate and multivariate logistic regression analyses identified the following as significant risk factors for early diagnosis: the number of postnatal days at specimen collection, maternal type O blood group, parity >1, time of onset for pathologic jaundice, maternal-fetal blood group incompatibility due to A antigen, the level of total bilirubin, and the immature reticulocyte fraction (IRF). A risk prediction model was established, and the calibration degree of the model was validated by the Bootstrap internal validation method, Brier=0.143. The results of H-L test showed that χ =3.464, P=0.902. The area under the ROC curve (AUC) was 0.885. The maximum value of the Youden index was 0.611, the sensitivity was 0.832, and the specificity was 0.778. The results of the validation group showed that the area under the ROC curve was 0.863, with a sensitivity of 0.875 and specificity of 0.735. Conclusion: The risk prediction model developed based on these risk factors has good predictive performance for ABO-HDFN, facilitating early diagnosis of suspected ABO-HDFN cases by clinicians in primary hospitals.