ObjectiveIn the context of the digital transformation of education, this study aims to construct a triadic interactive teaching model for surgical animal surgery in clinical medicine using modern information technology. It explores the effectiveness of different teaching methods in improving students' practical skills, aseptic awareness, and teamwork abilities, providing a reference for the reform of clinical practice education. MethodsA quasi-experimental research design was adopted. A total of 80 students from the eight-year clinical medicine program at Nanjing University were selected, including the Class of 2020 (control group, n=40) and the Class of 2021 (experimental group, n=40). The control group received traditional teaching methods, while the experimental group implemented the "Teacher-Student-AI" triadic interactive teaching model. This model utilized a smart teaching platform for personalized pre-class preparation , as well as data-driven post-class review and feedback throughout the entire teaching process. The "assessment indicators and scoring criteria for the surgical animal surgery course" were used to evaluate teaching effectiveness, with independent samples t-tests used for statistical analysis. ResultsPre-course assessments revealed no statistically significant differences in baseline theoretical knowledge or practical skills between the two groups (P>0.05). Upon completion of the course, the experimental group achieved higher scores than the control group across three key dimensions: practical skills (47.98±1.34 vs 46.92±2.51, P=0.022), aseptic awareness (17.84±1.16 vs 16.94±2.29, P=0.029), and teamwork (16.82±1.44 vs 15.95±1.22, P=0.004). However, no statistically significant difference was observed in the scores for humane care awareness between the two groups (8.24±0.70 vs 8.16±0.53, P=0.589). ConclusionThe AI-based triadic interactive teaching model can, to some extent, address the limitations of traditional surgical animal surgery education. It plays a positive role in enhancing medical students' surgical skills, aseptic awareness, and collaborative abilities. This model facilitates the transition from traditional to personalized teaching and offers a practical framework for the digital reform of clinical practice education.

Traditional Chinese medicine and its bioactive components have garnered increasing attention as potential therapeutic options for allergic asthma. By targeting the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway, these natural compounds exhibit unique advantages in multilevel immunomodulation and inflammation suppression compared with single-target synthetic drugs. Accumulating pharmacological evidence supports their capacity to restore pathway homeostasis, positioning them as promising candidates for complementary strategies in asthma management. Allergic asthma, a heterogeneous respiratory disorder affecting approximately 150 million individuals worldwide, arises from a complex interplay of genetic predisposition, environmental exposures, and lifestyle factors. Its pathological progression is marked by aberrant activation of the PI3K/AKT signaling cascade, with the mechanistic target of rapamycin serving as a key downstream regulatory node. This evolutionarily conserved pathway orchestrates fundamental cellular processes that contribute to three hallmark pathological features of allergic asthma: chronic airway inflammation, structural remodeling of the bronchial architecture, and airway hyperresponsiveness. This review has 3 primary objectives: (1) to evaluate the role of the PI3K/AKT pathway in allergic asthma pathogenesis, (2) to analyze the molecular mechanisms of representative traditional Chinese medicine preparations and their active ingredients, and (3) to identify novel bioactive inhibitors derived from natural products. Collectively, these investigations provide a conceptual framework for the development of next-generation targeted therapies and for optimizing clinical management strategies for allergic asthma.

ObjectiveTo investigate the microbiological characteristics of bile in patients with common bile duct stones alone or comorbid with juxtapapillary duodenal diverticula （JPDD）. MethodsA prospective study was conducted among 30 patients with common bile duct stones who were admitted to Department of Gastroenterology， Hebei General Hospital， from January to May 2024， and according to the presence or absence of JPDD， they were divided into JPDD group and simple common bile duct stones group （CBD group）， with 15 patients in each group. Bile samples were collected during endoscopic retrograde cholangiopancreatography， and 16S rRNA microbial sequencing was performed to compare the differences in microbial composition， diversity， and metabolic pathways between the two groups. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U rank sum test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. Pearson correlation analysis or Spearman correlation analysis was used to analyze the correlation between clinical indicators and microbial species abundance. ResultsClinical data showed that compared with the CBD group， the JPDD group had significantly greater maximum diameter of stones （10.87±3.42 mm vs 6.80±2.08 mm， t=3.94， P0.01） and common bile duct diameter （14.73±3.95 mm vs 9.67±2.64 mm， t=4.13， P0.01）. The microbiological analysis of the bile showed that Proteobacteria， Bacteroidetes， Firmicutes， and Actinobacteria were the most common phyla in both groups， and Proteobacteria was the dominate phylum in the JPDD group. At the genus and species levels， the JPDD group had higher relative abundances of Escherichia-Shigella， Enterococcus， and Escherichia coli. Alpha diversity was similar between the two groups， and there was a significant difference in beta diversity between the two groups （Adonis test， P0.05）. The LEfSe analysis identified 25 differentially expressed species （LDA2） between the two groups， and the JPDD group had enrichment of 7 flora such as Enterobacter， Enterococcaceae， and Klebsiella， while the CBD group had significant enrichment of 18 flora such as Peptococcaceae， Roseburia， and Alistipes （P0.05）. The correlation analysis showed that Enterococcaceae and Enterococcus significantly enriched in the JPDD group were positively correlated with the diameter of the common bile duct and the maximum diameter of stones （P0.01）， whereas Peptococcaceae， Acinetobacter， and Alistipes with reductions in expression were negatively correlated with the diameter of the common bile duct and the maximum diameter of stones （P0.05）. The enrichment analysis of biliary microbial metabolic pathways showed that there were significant differences between the two groups in 10 metabolic pathways such as cell growth and death， transportation and decomposition， nervous system， biosynthesis of valine， leucine， and isoleucine， and histidine metabolism （P0.05）. ConclusionThe presence of JPDD may lead to alterations in bile microbiota， such as an increase in Enterococcus and a reduction in Roseburia， and specific flora and metabolism can promote the formation of common bile duct stones.

Objective To investigate the ameliorative effects and mechanisms of six types of tea(green tea,cyan tea,red tea,white tea,black tea and yellow tea)on metabolic disorders in obesity mice induced by high-fat diet(HFD).Methods Four-week-old male C57BL/6J mice were randomly divided into 8 groups with 7 mice per group.An HFD-induced obese mouse model was established,and the mice in control group maintained on standard diet followed by intragastric administration of different teas for 5 weeks.The body weight,liver weight ratio,fasting blood glucose,and lipid profile of the mice were measured to assess glucose and lipid metabolism.Serum inflammatory factors including IL-6,tumor necrosis factor-alpha(TNF-α)and oxidative stress markers[malondialdehyde(MDA)and superoxide dismutase(SOD)were measured.Additionally,liver histopathology and the expression of key glycolipid metabolism-related genes,adenosine monophosphate-activated protein kinase(AMPK)and carnitine palmitoyltransferase 1(CPT-1),were analyzed to explore underlying mechanisms.Results Cyan tea significantly suppressed weight gain,demonstrating superior weight control.White tea markedly reduced fasting blood glucose levels and decreased the area under the curve of oral glucose tolerance test(OGTT)and insulin tolerance test(ITT),indicating synergistic improvements in glucose metabolism and insulin sensitivity.Yellow tea exhibited exceptional anti-inflammatory and antioxidant effects,reducing hepatic IL-6 and MDA while enhancing SOD activity.Green tea activated the lipid oxidation pathway by upregulating AMPK/CPT-1 expression.All kinds of tea significantly attenuated hepatic lipid droplet accumulation.Conclusion All six types of tea alleviated metabolic disorders by reducing hepatic fat content in obesity mice.However,different types of tea exert their unique effects on improving metabolic disorders through differential mechanisms such as glucose metabolism regulation,lipid oxidation,and anti-inflammatory and antioxidant actions.

Objective To investigate the clinical efficacy and safety of facilitated percutaneous coronary intervention(PCI)with half-dose recombinant staphylokinase(r-SAK)in patients with ST-segment elevation myocardial infarction(STEMI)who are expected to undergo PCI within 120 minutes.Methods From October 2021 to August 2022,a total of 200 STEMI patients in eight centers were included and randomly assigned in a 1﹕1 ratio to either r-SAK group or control group.Patients received loading doses of aspirin and ticagrelor and intravenous heparin and were randomized to receive an intravenous bolus of either 5 mg r-SAK or normal saline prior to PCI.The outcomes were set as ST-segment resolution(STR)at 60-90 minutes after PCI,the proportion and transition of pathological Q waves on the 5th day after PCI,and the proportion of high-sensitivity cardiac troponin T(hs-cTnT)peaking within 12 hours of onset.The safety outcome was major bleeding events defined as Bleeding Academic Research Consortium(BARC)≥type 3 bleeding during hospitalization.Results Compared with the control group,the r-SAK group had a higher proportion of STR≥70%within 60-90 minutes after PCI(58.3%vs.40.3%,P=0.009);a lower proportion of pathological Q waves(59.1%vs.74.1%,P=0.040);a lower rate of Q wave progression(14.8%vs.43.2%,P＜0.001);a higher rate of Q wave disappearance(12.5%vs.3.7%,P=0.027);and a higher proportion of hs-cTnT peaking within 12 hours of symptom onset[31/40(77.5%)vs.17/33(51.5%),P=0.027].Regarding the safety outcome,no significant difference in BARC≥type 3 bleeding was found between the two groups during hospitalization(P＞0.05).Conclusions For STEMI patients who were expected to undergo primary PCI within 120 minutes of symptom onset,the facilitated PCI with half-dose r-SAK significantly increased the proportion of STR≥70%at 60-90 minutes after PCI,reduced the formation of pathological Q waves,and shortened the time to peak hs-cTnT,without increasing the risk of bleeding,which should be an alternative reperfusion strategy worthy of further study.

Healthy female rabbits aged 3.5 to 4.0 months were randomly divided into four groups:the white light group(control group A),the green light group(treatment group B),the red light group(treatment group C)and the blue light group(treatment group D)with 3 replicates in each group,and 12 rabbits in each replicate.The light intensity was set to 80 lx,and the light was 16 h per day for 6 days before artificial insemination.Three reproductive cycles were carried out to de-termine the reproductive performance of female rabbits under different light colors,such as the number of fetuses,total litter size,weaning litter weight and serum reproductive hormone content.The results showed that,according to the comprehensive statistics of three breeding cycles:(1)the melatonin levels in the green group and red group were significantly lower than those in white group(P＜0.01),and the green group was significantly lower than the blue group(P＜0.05);the levels of luteinizing hormone in green group and red group were significantly higher than those in white group(P＜0.01);the follicle stimulating hormone in the green group was significantly high-er than in white group(P＜0.05);the estradiol content in the green group was significantly higher than that in the white group and blue group(P＜0.01),and significantly higher than that in the red group(P＜0.05).(2)the conception rate of the group was significantly higher than that of the white group(P＜0.01),and significantly higher than that of the red group and blue group(P＜0.05).(3)the number of rabbits in the green group at 30 days of age was significantly higher than that in the red group and the blue group(P＜0.05),and the litter weight at 30 days of age was significantly higher than that in the red group and the blue group(P＜0.01),and significantly higher than that in the white group(P＜0.05).In conclusion,the LED light belt is controlled by a dynamic light control system,the light intensity is set to 80 lx,and the light is 16 h a day for 6 d before artificial insemination.Green light can reduce the serum melatonin of Fujian white rabbits,which has the best comprehensive effect on the same period of conception rate and reproductive performance of Fujian white rabbits.

Objective To address the limitations of conventional physics-informed neural network(PINN)in handling hemodynamic boundary constraints,an improved hard boundary-constrained PINN(HBC-PINN)framework was proposed to achieve precise prediction of blood flow fields within stenotic arteries.Methods An idealized stenosed vessel geometry model was established and computational fluid dynamic simulation was performed to obtain a validation dataset.Appropriate boundary dependent trial functions were designed according to the hard constraint method to embed the flow boundary conditions into the network output.Thus,an HBC-PINN model with the hard boundary constraint method was constructed to predict the velocity field and pressure field of stenosed blood flow.Meanwhile,an original PINN model with the soft constraint method was also built for comparison.By evaluating the accuracy of the two models on the validation dataset,the capability of the HBC-PINN model to simulate hemodynamics without using any labeled data for training was verified.Results The effectiveness of the HBC-PINN method in predicting hemodynamic parameters in stenosed blood flow tasks was validated.The relative L2 errors of the flow velocity and pressure predicted by the HBC-PINN in two different stenosis scenarios were both lower than 0.5％,representing an improvement of over 48.8％in accuracy compared to the original PINN model.Additionally,the prediction accuracy of the transverse velocity also increased by more than 35.4％.Conclusions Implementing hard constraints on boundary conditions in the PINN modeling process can effectively improve the prediction accuracy of hemodynamic parameters and the efficiency of model solving.

Purpose To explore the ultrasound characteristics of female breast cancer patients with different molecular types,and improve the diagnostic value of ultrasound.Materials and Methods The ultrasound diagnostic data of breast cancer patients in Xijing Hospital,the Air Force Medical University from January 2021 to July 2023 were retrospectively analyzed,and the ultrasound diagnosis of breast cancer patients from the aspects of molecular typing and related human epidermal growth factor receptor-2(HER-2)expression and Ki-67 expression were analyzed.Results A total of 1 405 patients were included in this study,including 240 patients with Luminal A type,631 patients with Luminal B type,162 patients with HER-2+hormone receptor(HR)-type,207 patients with HER-2+HR+type and 165 patients with triple-negative breast cancer.Among the ultrasound characteristics of female breast cancer with different molecular classifications,there were statistical differences in breast imaging reporting and data system classification,edge angulation,spiculation,posterior echo and calcification(χ2=13.652-143.178,all P<0.05).According to the analysis of different degrees of invasion,there were statistical differences in breast imaging reporting and data system classification,edge angulation,spiculation,posterior echo and calcification from the Lumina group(Luminal A,Luminal B)and the aggressive group(HER-2+HR-,HER-2+HR+and triple-negative)(χ2=4.702-17.587,all P<0.05).The HER-2-negative and HER-2-positive groups of patients had significant differences in shape,edge angulation,spiculation and calcification,with statistical differences(χ2=3.947-7.944,all P<0.05).According to the Ki-67 level analysis,it was found that edge angulation,spiculation and posterior echo were influencing factors,with statistical differences(χ2=9.309-56.380,all P<0.05).Conclusion Breast cancer with different molecular expression has its own ultrasound characteristics.Preoperative ultrasound can provide a certain reference basis for the diagnosis,treatment and prognosis assessment of breast cancer.

Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.

Objective To address the limitations of conventional physics-informed neural network(PINN)in handling hemodynamic boundary constraints,an improved hard boundary-constrained PINN(HBC-PINN)framework was proposed to achieve precise prediction of blood flow fields within stenotic arteries.Methods An idealized stenosed vessel geometry model was established and computational fluid dynamic simulation was performed to obtain a validation dataset.Appropriate boundary dependent trial functions were designed according to the hard constraint method to embed the flow boundary conditions into the network output.Thus,an HBC-PINN model with the hard boundary constraint method was constructed to predict the velocity field and pressure field of stenosed blood flow.Meanwhile,an original PINN model with the soft constraint method was also built for comparison.By evaluating the accuracy of the two models on the validation dataset,the capability of the HBC-PINN model to simulate hemodynamics without using any labeled data for training was verified.Results The effectiveness of the HBC-PINN method in predicting hemodynamic parameters in stenosed blood flow tasks was validated.The relative L2 errors of the flow velocity and pressure predicted by the HBC-PINN in two different stenosis scenarios were both lower than 0.5％,representing an improvement of over 48.8％in accuracy compared to the original PINN model.Additionally,the prediction accuracy of the transverse velocity also increased by more than 35.4％.Conclusions Implementing hard constraints on boundary conditions in the PINN modeling process can effectively improve the prediction accuracy of hemodynamic parameters and the efficiency of model solving.