Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.

Background: Salvia miltiorrhiza Bunge, commonly known as “Danshen” in China due to the distinctive red color of its roots, is one of the most widely used traditional Chinese medicines. It is cultivated in various regions across China, and environmental differences among these regions can affect the secondary metabolites of plants, thereby influencing the quality of S. miltiorrhiza. In recent years, increasing demand for S. miltiorrhiza has exacerbated the problem of origin fraud. Therefore, ensuring the authenticity of its geographical origin is crucial for the sustainable development of the industry. Objective: The red coloration of S. miltiorrhiza is closely associated with the content of its primary active compounds, particularly tanshinones. Therefore, both its internal chemical composition and external color characteristics serve as key indicators for quality assessment. This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S. miltiorrhiza. Methods: Spectral data reflecting the internal chemical properties of S. miltiorrhiza were integrated with color information representing its external features through 3 levels of data fusion. These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification. Results: The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72% by integrating image color and short-wave infrared spectral data. Conclusion: This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S. miltiorrhiza.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.

Background: Pleuropterus multiflorum Thunb. cv. “Heshouwu”(HSW) has been used as a classical material for both medicine and food in China for millennia. Recently, the cultivation region of HSW has shifted from Guangdong to Sichuan, Guizhou, and other regions. The investigation of geographic variation in bioactive metabolite contents and their relationship with soil mineral elements holds academic significance. Objective: This study aimed to investigate the variations in the distribution of active components in HSW across diverse planting regions and their relationship with soil mineral elements. Methods: A reliable quantitative analysis based on ultrahigh-performance liquid chromatography with triple-quadrupole mass spectrometry (UPLC-QQQ-MS) was developed to assess the levels of 15 bioactive metabolites in 60 HSW samples collected from 4 distinct regions. A total of 43 soil mineral elements in corresponding 60 soil samples were quantified by inductively coupled plasma mass spectrometry (ICP-MS). Orthogonal partial least squares-discriminant analysis (OPLS-DA), heatmap analysis, Pearson correlation analysis, and random forest (RF) regression were conducted based on the above quantitative data. Results: The content of stilbene glycosides displayed a wider range of variation compared with emodin and physcion among different regions. Eight compounds were screened as the differential metabolites in HSW samples from various sources using the supervised OPLS-DA analysis. Among these, 2 important functional compounds including physcion and 2, 3, 5, 4′-tetrahydroxystilbene-2-O-(6″-O-ace-tyl)-glucoside (THSG-5) are the most abundant in HSW samples from Deqing, a geographical indicative production region. Pearson correlation analysis indicated that the impact of soil mineral elements on the levels of stilbene glycosides is greater compared to that on anthraquinones. A negative correlation was observed between the levels of elements Na, Zn, Ba, Ti, and 2, 3, 5, 4′-tetrahydroxysilbene 2-O-glucoside (THSG-1). Conversely, a positive correlation was found between the contents of elements Na, Ce, Ti, and physcion and THSG-5, 2 components that exhibited higher levels in Deqing. Furthermore, an RF algorithm was employed to establish an interrelationship model, effectively forecasting the abundance of the majority of differential metabolites in HSW samples based on the content data of soil mineral elements. Conclusions: The variation of stilbene glycosides is wider than emodin and physcion in HSW. The levels of metabolites in HSW samples are influenced by soil mineral elements, with stilbene glycosides being more susceptible to such influences compared to anthraquinones. Specifically, THSG-1 shows a negative association withmost soil mineral elements, notably Na, Zn, Ba, and Ti, whereas the content of physcion displays a positive correlation.

OBJECTIVE:To establish a method for the content determination of saccharide in polysaccharides containing galact-uronic acid based on phenol-sulfuric acid method combined with correction factor method. METHODS:The determination condi-tion of phenol-sulfuric acid was optimized. A series of standard curves were drawn with glacturonic aid-glucose mixed control with different mass ratio. The content of saccharide in Codonopsis pilosula polysaccharides CPP1b samples containing galacturonic acid was determined. According to regression equation of galacturonic acid-glucose ratio of 0-100%,the correction factor was calculated by using C. pilosula polysaccharides CPP1b as the reference polysaccharide,and the results of content determination of saccharide were corrected. The rationality of this method was verified by using mixed monosaccharide control with same composition as C. pi-losula polysaccharides CPP1b. RESULTS:The correction factor of C. pilosula polysaccharide CPP1b to glucose was 3.33;in vali-dation test,the content of saccharide in mixed monosaccharide control with same composition as C. pilosula polysaccharides CPP1b was 103.47%. RSDs of precision and stability tests was <1%. The recoveries ranged 93.52%-107.35%(RSD=5.09%,n=6). CONCLUSIONS:The established method can accurately determine the content of saccharide in C. pilosula polysaccharides CPP1b containing galacturonic acid.

Objective To investigate the feasibility and applicability of free airbags,free fixed totally extraperitoneal laparoscopic inguinal hernia repair (TEP) treatment of inguinal hernia.Methods In Baotou Medical College,Department of General Surgery,the First Affiliated Hospital,the 40 cases of patients confirmed with inguinal hernia surgery were choosed from Jan.2010 to Dec.2012 as the observed object,depending on the surgical methods.Divided the cases into the TEP group and the open surgery group to observe statistics including postoperative pain,extent of gastrointestinal function recovery time,the time of bedside movement,the number of days of hospitalization,the incidence of postoperative complications,hospital fees indicators.Results The operation time of TEP group was about 20 minutes longer than the open group and the difference was statistically significant (P ＜ 0.05).Compared with the open group,TEP group' s postoperative pain was milder,postoperative feeding time,the time of bedside movement and postoperative exhaust time were earlier,hospital stays were shoter,incidence of postoperative complications was lower,the differences were statistically significant (P ＜ 0.05).The difference was not statistically significant in hospital costs(P ＞ 0.05).Conclusion TEP inguinal hernia greater advantages compared with traditional open surgery,may be appropriate to carry out in my area.

ObjectiveTo explore the relationship among the aggressive behavior,hostile attribution bias and childhood trauma in schizophrenic patients.Methods 135 schizophrenic patients were tested with Modified Overt Aggression Scale (MOAS),the Chinese-version of the Ambiguous Intentions Hostility Questionnaire (AIHQ-C) and Childhood Trauma Questionnaire (CTQ).According to the score of the MOAS,the patients were divided into the aggressive group ( n =58 ) and the non-aggressive group ( n =77 ).The hostile attribution bias and the childhood trauma were compared between the two groups,and correlation and hierarchical regression analysis were used to investigate the relationships of the variables.ResultsCompared with the non-aggressive patients,the aggressive patients had significantly higher AIHQ-C total hostility bias score (6.27 ± 1.20 vs 5.90 ± 0.97,P ＜0.05 ),total blame bias score (8.04 ± 1.97 vs 6.91 ± 2.10,P ＜ 0.01 ) and total aggression bias score ( 6.17 ±1.02 vs 5.59 ± 1.04,P ＜ 0.01 ).Correlation analysis showed that the MOAS score,AIHQ scores and the total score of CTQ were significantly positively correlated with each other ( r =0.171 ～ 0.350,P ＜ 0.05 ～0.01 ).Regression analysis indicated the hostile attribution bias directly predicted the aggressive behavior( β =0.342,P ＜0.05) and completely mediated the relationship between the childhood trauma and the aggressive behavior.ConclusionThe aggressive behavior in schizophrenic patients is associated with the experience of childhood trauma and the attribution style.The childhood trauma indirectly influences the aggressive behavior by the mediating of the hostile attribution bias.