ObjectiveTo explore the mechanisms of Yangjing Tongluo prescription （YJTL） in the treatment of intrauterine adhesion （IUA） from the perspective of oxidative stress mediated by the Kelch-like ECH-associated protein 1/nuclear factor erythroid 2-related factor 2/heme oxygenase-1 （Keap1/Nrf2/HO-1） signaling pathway. MethodsA total of 48 rats with normal estrous cycles were selected and randomly divided into a normal group （n=8） and a modeling group （n=40）. An IUA rat model was established using a dual-injury method combining surgical curettage and infection. Eight rats were randomly selected from the modeling group for a pilot experiment to confirm successful model establishment. After successful modeling， the remaining 32 rats were randomly divided into a model group， a low-dose YJTL group （YJTL-L）， a high-dose YJTL group （YJTL-H）， and a Progynova group. Rats in the normal and model groups were administered purified water （15 mL·kg^-1） by gavage daily， while rats in the YJTL-L， YJTL-H， and Progynova groups received YJTL at doses of 6.43 and 12.86 g·kg^-1 and Progynova at 2.06 × 10^-4 g·kg^-1， respectively， for 14 consecutive days. The general condition， uterine morphology， and uterine index of the rats were monitored. Histopathological changes in uterine tissue were observed using hematoxylin-eosin （HE） staining. Serum levels of reactive oxygen species （ROS） and glutathione peroxidase （GSH-Px） were measured by enzyme-linked immunosorbent assay （ELISA）. Protein expression levels of Keap1， Nrf2， and HO-1 in endometrial tissue were detected by Western blot. Immunofluorescence （IF） was used to assess the distribution of Nrf2 and HO-1， as well as the expression of Nrf2 in the cytoplasm and nucleus. ResultsCompared with the normal group， rats in the model group exhibited poor mental status and reduced mobility， markedly edematous and tortuous uterine morphology， decreased gland number， and inflammatory reactions in the endometrium， along with an increased uterine organ index （P<0.05）. Serum ROS levels were significantly increased （P<0.05）， while serum GSH-Px levels were significantly decreased （P<0.05）. In endometrial tissue， Keap1 protein expression was increased （P<0.05）， whereas Nrf2 and HO-1 protein expression was decreased. Mild nuclear translocation of Nrf2 was observed， accompanied by increased relative fluorescence intensity of nuclear Nrf2 and decreased relative fluorescence intensity of cytoplasmic HO-1. Compared with the model group， all treatment groups showed varying degrees of improvement in the above symptoms and pathological changes. Serum ROS levels were reduced （P<0.05）， serum GSH-Px levels were increased （P<0.05）， Keap1 protein expression in endometrial tissue was decreased， and Nrf2 and HO-1 protein expression was increased in a dose-dependent manner （P<0.05）. Notably， significant nuclear translocation of Nrf2 was observed， with correspondingly increased relative fluorescence intensity of nuclear Nrf2 and enhanced relative fluorescence intensity of cytoplasmic HO-1. ConclusionYJTL may enhance antioxidant capacity and repair oxidative damage to the endometrial basal layer by regulating the Keap1/Nrf2/HO-1 signaling pathway.

This study focuses on the core pathology of sinew wei （痿）， which is mainly characterized by the fai-lure of qi and blood to nourish the sinews. A mechanical-biological response framework is constructed with mitochondria as a key component， explaining the modern interpretation of the disease location of sinew transmitting to qi and blood pathology. Mechanical loading， as a physical stress stimulus applied to the body， manifests primarily as passive loading formed by external forces such as massage， and active loading resulting from voluntary muscle contractions， such as dao yin （导引）. Mechanical loading can regulate mitochondrial function through two pathways， mechanical signal transduction and metabolic demand-driven regulation. Skeletal muscle mitochondrial dysfunction is regarded as the core microscopic basis of qi imbalance in sinew wei， highlighting the intrinsic connection between qi and mitochondrial energy metabolism， as well as between blood and microcirculatory efficiency. Accordingly， distinct regulatory patterns of mechanical loading are identified. Wei associated with qi stagnation may correspond to mitochondrial network fragmentation and can be treated by regulating qi through passive loading， such as tuina， to restore mitochondrial dynamics. In contrast， wei caused by qi deficiency is attributed to insufficient mitochondrial biogenesis and may be treated by tonifying qi through active loading， such as dao yin， to promote mitochondrial biogenesis. This framework reveals the biological differences in mitochondrial regulation induced by distinct mechanical loading modalities and provides a microscopic mechanism-based explanation for the principle of "treating the same disease with different methods" in sinew wei.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To compare the predictive performance of the deep forest ensemble model,deep forest,and random forest in medical classification.Methods This study proposed a deep forest ensemble model that integrated Sobol-MDA(Sobol-mean decrease accuracy)with the cascading structure of deep forest and feature extraction capabilities of random forest.The model was applied to both simulation and real medical data analysis.The simulation experiments covered scenarios such as unbalanced outcome variables,nonlinear relationships,noise variables,multicollinearity,and interactions.The real data analysis was conducted on parotid MRI data to compare the performance of the models in terms of area under curve(AUC)and other metrics.Results In both the simulation and real data analysis,the deep forest ensemble model demonstrated superiority,especially in complex interaction scenarios,where its predictive performance significantly outperformed deep forest and random forest models.Conclusion Deep forest ensemble model shows significant advantages in addressing complex medical classification tasks.Its predictive performance outperforms traditional models.

OBJECTIVE T o explore the clinical characteristics and risk factors for plastic bronchitis(PB)in the chil-dren with Mycoplasma pneumoniae pneumonia(MPP).METHODS A retrospective case-control study was con-ducted for the medical data of the children with MPP who hospitalized in pediatrics department of Affiliated Hos-pital of Jining Medical College and underwent bronchoscopy and bronchoalveolar lavage from Jan.2023 to Dec.2024.The enrolled children were divided into the PB group and the non-PB group according to the status of complication with PB.The baseline data,clinical characteristics,laboratory test indexes,imaging features,bron-choscopy findings and treatment outcomes were observed and compared between the two groups of children.RESULTS A total of 734 children with MPP were included in the study,131 of whom were assigned as the PB group,and 603 were assigned as the non-PB group.The children were younger[4.83(1.88,7.00)years],the du-ration of fever was longer,the peak temperature was higher[39.50(39.20,39.80)℃],the percentage of compli-cation with pleural effusion was higher(33.59％),the percentage of extrapulmonary organs involved was higher(27.48％),the levels of white blood cells,neutrophils percentage,C-reactive protein(CRP),lactic dehydrogen-ase(LDH),D-dimer(DD)and alanine aminotransferase(ALT)were higher in the PB group than in the non-PB group,and there were significant differences(P＜0.05).There were significant differences in the percentage of mucosal necrosis under bronchoscopy,number of times of treatments assisted by bronchoscopy and length of hospital stay between the two groups(P＜0.05).CONCLUSIONS The MPP children with PB are characterized by younger rage,longer duration of fever,higher peak temperature,higher percentage of complication with pleural effusion,extrapulmonary organs more likely to be involved,more intensive inflammatory reactions and higher percentage of mucosal necrosis under bronchoscopy.Some of the children need to be treated repeatedly with assis-tance of bronchoscopy,and the length of hospital stay is long.

AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P＞0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.

Objective:To explore the association between A Body Shape Index (ABSI) and sarcopenia in Chinese older adults.Methods:Totally 1 728 participants in waves 1 and 3 of the China Health and Retirement Longitudinal Survey (CHARLS) were enrolled in this cohort-based cross-sectional analysis. ABSI was calculated by using anthropometric measurements from CHARLS. According to the Asian Working Group for Sarcopenia (AWGS) 2019 consensus update on sarcopenia, low muscle strength and low muscle mass were used as the diagnostic criteria for sarcopenia. Logistic regression and restricted cubic spline (RCS) were used to assess the relationship between ABSI and sarcopenia, and subgroup and interaction analyses were conducted to evaluate the influence of other factors on this association.Results:High ABSI showed a significant association with the risk of sarcopenia among older adults in China, and RCS analysis demonstrated a positive linear correlation between ABSI and sarcopenia. Additionally, the relationship of ABSI with sarcopenia was significantly modified by educational level and depressive status.Conclusion:ABSI, a novel anthropometric measure, serves as an effective threshold for assessing sarcopenia risk in the Chinese older population, providing a basis for developing clinical interventions and public health strategies for the prevention and early identification of sarcopenia.

Objective:To investigate the clinical characteristics of patients with multiple myeloma(MM)complicated by bone lesions and the risk factors associated with bone lesions.Methods:The clinical data of 294 newly diagnosed MM patients in Gansu Provincial Hospital from January 2017 to June 2021 were retrospectively analyzed.The patients were divided into the bone lesion group(154 cases)and the non-bone lesions group(140 cases)based on the presence of absence of bone lesions at diagnosis.The general data and laboratory parameters were compared between the two groups.The risk factors for bone lesions in MM patients were analyzed by logistic regression analysis,and the characteristic(ROC)curves were plotted to assess the predictive value of each risk factor for the occurrence of bone lesions in MM patients.Results:Compared to the non-bone lesion group,the bone lesion group had significantly higher serum calcium levels and significantly greater proportions of patients with Durie-Salmon(DS)stage Ⅲ,and bone pain(all P＜0.05).Logistic regression analysis showed that elevated serum calcium(OR=5.135,95％CI:1.931-13.653,P=0.001),DS stage Ⅲ(OR=1.841,95％CI:1.019-3.328,P=0.043),and bone pain(OR=8.208,95％CI:4.761-14.151,P＜0.001)were independent risk factors for bone lesions in MM patients.ROC curve analysis showed that serum calcium(AUC=0.619,95％CI:0.555-0.683,P＜0.001)and bone pain(AUC=0.743,95％CI:0.692-0.793,P＜0.001)had predictive value for bone lesions in MM patients.Conclusion:MM patients have a high incidence of bone lesions,and active monitoring and management of risk factors may improve treatment outcomes and prognosis.

With the rapid development of personalized medicine, recommending the optimal treatment regimes among multiple options for individual patients has become a key topic in the study of individualized treatment rules. Existing methods often face challenges such as limited accuracy and robustness when handling multi-category treatment problems. This study proposes a weighted random forest method that formulates the treatment decision problem as a weighted classification task. By incorporating the expected loss differences among treatment outcomes, the method enhances its learning process and improves recommendation performance with the non-parametric nature and flexibility of random forests. The weighted random forest method is further applied to real-world hypertension intervention data to generate personalized antihypertensive treatment recommendations based on the patient's baseline characteristics, demonstrating its potential value in clinical practice. This research aims to provide a new approach for individualized treatment rules in multi-treatment settings and to support the development of data-driven clinical decision-making systems.

Objective To explore the calculation model of the antagonistic parameter pA2 in the medical functional experi-ment course"determination of dose-effect relationship and pA2 of drugs".Methods The ACh effect on the rectus abdominis muscle of bullfrogs was observed,while tubocurarine was used as a competitive antagonist.An excel calculation model of pA2 was created.The t-test was used to analyze the pA2 data from 25 random experimental group,in which traditional coordinate method or model treatment method were conducted.Results The estimated values of the coordinate method and the calculated values of the model for pA2 with the largest maximum effect of the first dose-effect curve(6.39±0.35)and(6.37±0.34)from 14 groups;And pA2 from other 10 groups were(6.15±0.50)and(6.42±0.57),respectively.The results of t-test analysis showed that there was no significant difference in the pA2 values calculated by the two methods(P＞0.05).Conclusion This model can be used for calculating pA2 in medical functional experimental courses to effectively improve the timeliness,standardi-zation,and accuracy of data processing,then lecturers can analyze the experimental results in real-time to improve experimental efficiency and teaching quality.