Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective To determine the material basis of the antioxidant activity of Mori Folium by examining the spec-trum-effect relationship.Methods High-performance liquid chromatography(HPLC)was utilized to establish the fingerprints of Mori Folium.The antioxidant activity of Mori Folium was assessed using the 1,1-diphenyl-2-picrylhydrazyl(DPPH)radical scavenging assay and other related indicators.The spectrum-effect relationship of antioxidation was analyzed using gray relational analysis,bivariate correlation analysis,and partial least squares regression analysis.Molecular docking techniques were employed to predict potential interaction targets.Results HPLC fingerprints for 13 batches of Mori Folium were established,and thirteen common peaks were marked,with similarities ranging from 0.932 to 0.998.Nine common peaks were identified by comparing them to reference substances.Differences in antioxidant activity were observed among the different batches of Mori Folium.Based on the analysis of the spectrum-effect relationship,chemical components such as chlorogenic acid,cryptochlorogenic acid,rutin,and iso-chlorogenic acid B were found to contribute significantly to the antioxidant activity.These components may exert their effects by binding to several antioxidant protein targets,such as XOD,NO-1,and PPAR-α.This implies that Mori Folium might exert its an-tioxidant action via multiple components and targets.Conclusions By integrating the fingerprint and antioxidant activity of Mori Folium,the contributions of individual components to its antioxidant activity were determined.This study provides an experi-mental basis for elucidating the substances responsible for the antioxidant activity of Mori Folium and for establishing quality con-trol methods.

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective To determine the material basis of the antioxidant activity of Mori Folium by examining the spec-trum-effect relationship.Methods High-performance liquid chromatography(HPLC)was utilized to establish the fingerprints of Mori Folium.The antioxidant activity of Mori Folium was assessed using the 1,1-diphenyl-2-picrylhydrazyl(DPPH)radical scavenging assay and other related indicators.The spectrum-effect relationship of antioxidation was analyzed using gray relational analysis,bivariate correlation analysis,and partial least squares regression analysis.Molecular docking techniques were employed to predict potential interaction targets.Results HPLC fingerprints for 13 batches of Mori Folium were established,and thirteen common peaks were marked,with similarities ranging from 0.932 to 0.998.Nine common peaks were identified by comparing them to reference substances.Differences in antioxidant activity were observed among the different batches of Mori Folium.Based on the analysis of the spectrum-effect relationship,chemical components such as chlorogenic acid,cryptochlorogenic acid,rutin,and iso-chlorogenic acid B were found to contribute significantly to the antioxidant activity.These components may exert their effects by binding to several antioxidant protein targets,such as XOD,NO-1,and PPAR-α.This implies that Mori Folium might exert its an-tioxidant action via multiple components and targets.Conclusions By integrating the fingerprint and antioxidant activity of Mori Folium,the contributions of individual components to its antioxidant activity were determined.This study provides an experi-mental basis for elucidating the substances responsible for the antioxidant activity of Mori Folium and for establishing quality con-trol methods.

Objective:To investigate the mid- and long-term training effect of deliberate practice combined with intensive training in cardiopulmonary resuscitation (CPR) teaching for nurses receiving standardized training.Methods:A total of 160 nurses who received the first year of standardized training in Guangdong Provincial Hospital of Traditional Chinese Medicine from July 2020 to March 2021 were enrolled as subjects, and they were randomly divided into experimental group and control group, with 80 nurses in each group. The nurses in the control group received the mode of single deliberate practice, and those in the experimental group received deliberate practice combined with intensive training at months 0, 3, and 6. Assessment was performed for the two groups before and after training,with objective indicators and subjective evaluation as the assessment criteria. Objective score was determined by the immediate objective feedback provided by the electronic display of Resusci Anne ? QCPR, and subjective score was determined by the same group of examiners based on the evaluation of cardiopulmonary resuscitation performed by trainees,including environment evaluation, judgment of consciousness, judgment of respiration, initiation of emergency treatment system, re-evaluation after resuscitation, and overall evaluation. SPSS 18.0 was used for the independent samples t-test, the non-parametric test, and the chi-squares test. Results:After training, there were significant differences between the experimental group and the control group in the objective indicators of the percentage of correct compression (CC%) [85.500 (77.50, 93.00) vs. 81.00 (71.75, 89.00), Z=-2.49, P=0.013] and the proportion of correct ventilation (V%) [84.00 (75.00, 92.75) vs. 80.00 (64.00, 90.25), Z=-2.15, P=0.031]. Both groups had significant improvements in objective and subjective indicators after training (all P<0.05). Conclusions:Deliberate practice combined with intensive training at an interval of 3 months can effectively improve the mid- and long-term CPR skills of nurses receiving standardized training and is more suitable for high-level muscle memory training.

Objective To analyze and identify the volatile constituents in different parts(flowers,stems and leaves)of Huai chrysanthemumin,and to lay a theoretical foundation for the comprehensive utilization for it.Methods The volatile oil in different parts of Huai chrysanthemumin were extracted by hydrodistillation,respectively.Their constituents were analyzed by gas chromatography-mass spectrometry(GC-MS).The compounds were identified by library search and literature screening.The relative percentage of each compound was obtained by the area normalization method.The differences in their chemical compositions were analyzed by Venn diagram,principal component analysis(PCA)and cluster heat map analysis.Results A total of 62 volatile chemical components were identified from different parts of Huai chrysanthemumin,including monoterpenes,sesquiterpenes,and their derivatives,as well as a small amount of aliphatic compounds.32,42 and 40 volatile components were detected from the flowers,stems and flowers,respectively.Furthermore 17 volatile components were shared by three parts,whereas 5,6 and 16 volatile components were unique to the flowers,stems and leaves,respectively.The results of stoichiometric analysis showed that both PCA and cluster heat map analysis could separate the flowers,stems and leaves,and their volatile components were different.Conclusion The types and contents of the volatile oil in the stems,leaves and flowers of Huai chrysanthemumin have certain variability,which provide a scientific basis for the further medicinal or industrial exploitation of different parts of Huai chrysanthemumin.

Objective:To establish the ultra high performance liquid chromatography (UPLC) fingerprints of Mume flos at different flowering stages; To provide reference for the quality research of Mume flos.Methods:The fingerprints of Mume flos were established by UPLC method, and the common peaks were identified by high performance liquid chromatography high resolution mass spectrometry (LC-MS). Chemometrics analysis was carried out with the fingerprints' common peak area of plum blossom at different flowering stages as a variable. Semiquantitative analysis of changes in flavonoids and phenolic acids in Mume flos at different flowering stages was conduct using peak area calculation method.Results:Totally 31 common peaks were identified in the fingerprints of plum blossom medicinal materials at different flowering stages and 9 components were identified. Clustering analysis (HCA) and principal component analysis (PCA) both classified plum blossom medicinal herbs at different flowering stages into three categories. Among them, there were significant differences between the groups at the bud stage, blooming period, and final flowering period, while the differences between the groups at blooming period and final flowering period were relatively small. The orthogonal partial least squares discriminant analysis (OPLS-DA) screened 16 different components with VIP>1.0. The contents of phenolic acids in different flowering stages were as follows: bud stage>blooming period>final flowering period, while the contents of flavonoids were as follows: blooming period>final flowering period>bud stage.Conclusions:This method is simple and reliable, and can provide reference for the quality evaluation of plum blossom medicinal materials at different flowering stages.

Objective:To comprehensively evaluated the quality of Sargentodoxae Caulis from different habitats with a combination of indexes and characteristic chromatogram method from Chinese Pharmcopoeia (Edition 2020). Methods:The contents of water content, total ash, ethanolic extract, sulfur dioxide residue, heavy metals and harmful elements, total phenols, chlorogenic acid, salidroside and characteristic chromatogram of 17 batches of Sargentodoxae Caulis were determined. The quality of Sargentodoxae Caulis was comprehensively evaluated by combining chemical pattern recognition method. Results:The water content, total ash content, extracts, and content determination of 17 batches of Sargentodoxae Caulis from different habitats complyed with the provisions of the Chinese Pharmcopoeia (Edition 2020). There were differences in the contents of extracts, chlorogenic acid, and salidroside, among which the content of Anhui origin was higher. A total of 8 common peaks were identified from the 17 batches samples. Conclusion:Comprehensive evaluation of multiple indicators can demonstrate the quality of Sargentodoxae Caulis more correctly, and shows that the quality of Sargentodoxae Caulis from different habitats is different. The quality of Sargentodoxae Caulis from Anhui is better than that from other habitats.

Objective:To establish the quality evaluation method of Perillae caulis formula granules based on the three kind of quality indexes of standard decoction. Methods:Eighteen batches of Perillae caulis were collected from different habitats according to different technical requirements, eighteen batches of standard decoction and three batches of formula granules were prepared and the paste-forming rates were calculated. The content of Caffeic acid and Rosmarinic acid were determined and calculated by Ultra High Performance Liquid Chromatography (UPLC). Then the fingerprints of standard decoction of and formula granules of Perillae caulis were established by UPLC . The similarity values of fingerprints between formula granules and standard decoction were calculated. Results:The average paste-forming rate of standard decoction was (7.16±1.97)%. The paste-forming rates of three batches of formula granules were 5.52%, 5.25% and 5.34%, respectively. The average content of Caffeic acid and Rosmarinic acid in standard decoction was (12.06±3.37)mg/g. The contents of three batches of formula granules were 5.52, 5.82, 5.77 mg/g, respectively. Seven common fingerprint peaks were identified in the fingerprints of standard decoction and formula granules, three of which were identified as Caffeic acid, N-Feruloyl Octopus amine and Rosmarinic acid by comparison of reference substance. The fingerprints similarity of Perillae caulis dispensing granules and standard decoction were 1.000, 0.995 and 0.997, respectively. Conclusions:The quality indexes of three batches of formulation granules are consistent with standard decoction. This method can provide basis for the establishment of quality standard of Perillae caulis dispensing granules.

OBJECTIVE To co mpare the difference of liposoluble constitue nts in different processed products of Huaizhong No.1 Rehmannia glutionsa （fresh R. glutionsa ，R. glutionsa and prepared R. glutionsa ），and to evaluate its in vitro antioxidant activity preliminarily. METHODS Liposoluble extracts were extracted from 3 processed products of R. glutionsa by Soxhlet extraction. Their constituents were analyzed by gas chromatography-mass spectrometry. The spectral library of NIST 98 system was used to automatically retrieve the mass spectrum information of components ，and the structures of compounds were identified in combination with relevant literature and by comparing with eight peak index and EPA/NIH library. Relative contents of the components were calculated by using peak area normalization method with Hewlett Packard software. The antioxidant activities of liposoluble constituents in 3 processed products of R. glutionsa were investigated by 1，1-diphenyl-2-picrylhydrazyl（DPPH）free radical scavenging. RESULTS A total of 79 liposoluble components were identified from different processed products of R. glutionsa，and 48，52 and 37 liposoluble compounds were identified from fresh R. glutionsa ，R. glutionsa and prepared R. glutionsa，respectively；their relative contents accounted for 92.69％，86.29％，92.89％ of the total components respectively. Among them ，there were 20 liposoluble compounds totally ，and their relative contents accounted for 88.73％，80.89％ and 85.87％ of liposoluble components in each processed product respectively ；they were mainly composed of fatty acids such as methyl linoleate，methyl palmitate and methyl oleate. In addition ，there were 18 unique liposoluble components in fresh R. glutionsa ， mostly terpenoids ；there were 17 and 6 unique liposoluble components in R. glutionsa and prepared R. glutionsa ，mostly alkanes. The results of antioxidant experiment showed that median scavenging concentrations of liposoluble components to DPPH limeng free radical were 0.756，0.660，0.758 mg/mL，respectively. CONCLUSIONS The common liposoluble components in different processed products of R. glutionsa are mostly acids；the unique liposoluble components in fresh R. glutionsa are mostly terpenoids ，and those of R. glutionsa and prepared R. glutionsa are mostly alkanes ；the liposoluble constituents possess in vitro antioxidant activities.