Objective The objective of this study is to improve the accuracy of automatic identification in complex background herbal slice images.The goal is to achieve accurate recognition of herbal slice images in the presence of complex backgrounds.Methods The experiment was conducted on a collected and organized dataset of Tibetan herbal slice images.The RGB,HOG,and LBP features of the slices were analyzed.An improved HOG algorithm was used to fuse multiple features,and a deep learning network was utilized for image recognition.Results The proposed method of multi-feature fusion combined with deep learning achieved an identification accuracy of 91.68%on 3610 Tibetan herbal slice images with complex backgrounds.Furthermore,the average identification accuracy for 20 common traditional Chinese medicine slices,such as Chuan Beimu,Hawthorn,and Pinellia,reached 98.00%.This method outperformed existing methods for identifying herbal slices in complex backgrounds,indicating its feasibility and wide applicability for the identification of other traditional Chinese herbal medicines.Conclusion The fusion of multiple features effectively captures distinguishing characteristics of herbal slices in complex backgrounds.It exhibits high recognition rates for Tibetan herbal slices with complex and heavily occluded backgrounds,and can be successfully applied to the recognition of natural scene-based traditional Chinese herbal medicines and herbal slices.This approach shows promising prospects for practical applications.

【Objective】 To investigate the protective effects of aflexible sleeve penile protection device on reducing postoperative pain and wound edema in patients after circumcision. 【Methods】 A total of 54 patients who underwent circumcision at Yan’an Branch of Peking University Third Hospital during Feb.1 and May 31, 2023 were enrolled.The patients were randomly divided into the experimental group and control group, with 27 patients in either groups.Patients in the experimental group were treated with a flexible sleeve penis protection device after surgery, and patients in the control group were treated with traditional gauze bandage after surgery.Postoperative pain, wound edema and complications were compared between the two groups. 【Results】 In terms of pain, the visual analogue scale of the experimental group was significantly lower at 6 hours [(1.7±0.9) vs.(3.3±1.9), P<0.001] and 2 days [(2.0±1.3) vs.(3.3±1.3), P<0.001] after surgery than that of the control group, but there were no statistically significant differences between the two groups on the 4th and 7th postoperative days (P>0.05).In terms of edema, the edema score of the experimental group was significantly lower than that of the control group on the 2nd postoperative day [(2.0±1.0) vs.(4.0±0.8), P<0.001] , the 4th postoperative day [(1.5±1.2) vs.(2.6±0.9), P<0.001] , and the 7th postoperative day [(0.9±1.3) vs.(2.3±1.5), P<0.001] .There was no statistically significant difference in the incidence of complications between the two groups (P>0.05). 【Conclusion】 The flexible sleeve penile protection device has significant effects of reducing early postoperative pain and reducing edema in patients undergoing circumcision.

Objective:To explore the active ingredients of shengxian and jinshuiliujun decoction with the method of network pharmacology, and to verify the experimental mechanism of its treatment of silicosis.Methods:In May 2023, the active ingredients and targets of drugs in shengxian and jinshuiliujun decoction were obtained through the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database. The target of silicosis disease was screened by databases such as Genecards, Disease Gene Network (DisGeNET), Comparative Toxicogenomics Database (CTD), etc. The screened drug targets and disease targets were intersected to obtain the target set of shengxian and jinshuiliujun decoction for the treatment of silicosis. Protein-protein interaction (PPI) network analysis was performed on the target set through STRING database, and core target genes were screened. GO enrichment analysis and KEGG pathway analysis of intersection genes were performed based on Metascape database, and molecular docking verification of key components and targets of shengxian and jinshuiliujun decoction was carried out. Twenty-four adult male SD rats with SPF grade were randomly divided into control group, model group and TCM intervention group, with 8 rats in each group. The dust-stained rat model was prepared by non-tracheal exposure of 1 ml silica suspension (50 mg/ml) in one go, and TCM intervention group was given shengxian and jinshuiliujun decoction[6 g/ (kg·d) ] on the second day. The CT of the lungs of each group was observed 28 days after the dust-stained rat model. Paraffin sections of rat lung tissues were prepared and stained with Hematoxylin-Eosin (HE) and Masson. Western blot was used to verify the expression of core target-related proteins in rat lung tissues after the intervention of shengxian and jinshuiliujun decoction for 28 days, and the differences in protein expression between groups were compared by one-way analysis of variance.Results:A total of 205 active ingredients and 3345 active compounds were selected from shengxian and jinshuiliujun decoction, corresponding to 281 targets, among which 240 targets were related to silicosis. Serine/threonine kinase 1 (AKT1), tumor protein p53 (TP53), tumor necrosis factor (TNF) and interleukin (IL) 6 may be the key targets of shengxian and jinshuiliujun decoction in the treatment of silicosis. Through enrichment analysis, 30 GO entries and 20 potential signaling pathways were screened according to P-value, including nuclear factor κB (NF-κB), mitogen-activated protein kinase (MAPK) and cancer signaling pathways. Molecular docking showed that the active compounds of shengxian and jinshuiliujun decoction had good binding with the core target proteins, and the strongest binding properties were beta-sitosterol and TNF-α (-10.45 kcal/mol). In animal experiments, the inflammatory infiltration and fibrosis of lung tissue of rats in TCM intervention group were significantly improved. Compared with control group, the levels of TNF-α, IL-1β, IL-6 and NF-κB in lung tissue of model group were significantly increased ( P<0.05). Compared with model group, the lung injury of rats in TCM intervention group was significantly improved, and the expressions of TNF-α, IL-1β, IL-6 and NF-κB were significantly decreased ( P<0.05) . Conclusion:Shengxian and jinshuiliujun decoction in the treatment of silicosis may play an anti-fibrosis role by inhibiting the NF-κB signal transduction pathway mediated by inflammatory factors such as TNF-α and IL-1β, which provides a reference for further exploring the material basis and mechanism of its action.

Objective:To translate Evidence-based Practice-knowledge, attitude, application, anticipated future use (EBP-KAPF) scale into Chinese, and evaluate its reliability and validity.Methods:The Chinese version of the EBP-KAPF scale was determined through translation, adaptation, recall, review and pre-investigation. From July to August 2022, 250 clinicians from 28 provinces (autonomous regions and municipalities directly under the Central Government) were selected by using the convenience sampling method. A self-made questionnaire was used to investigate the EBP-KAPF scale in Chinese to investigate the EBM ability of clinicians, including the basic information of the respondents, the learning and use of Evidence-based medicine courses and related software. The item analysis, validity and reliability evaluation of the Chinese version of the EBP-KAPF scale were performed.Results:The Chinese version of the EBP-KAPF scale included 26 items in four dimensions: knowledge mastery, attitude, personal application and future use. A total of 265 questionnaires were sent out (including self-made questionnaires and the Chinese version of the EBP-KAPF scale), and 250 effective questionnaires were obtained, with a total effective rate of 94.3%. The total score of the Chinese version of the EBP-KAPF scale was (102.85±17.48) points, and the scores of knowledge mastery, attitude, personal application and future use sub-scales were (27.22±4.47), (13.56±7.70), (20.07±6.78), and (42.00±9.00) points, respectively. Except for item 16, all items were correlated with the total score of the scale, and the correlation coefficient ranged from 0.456 to 0.828. After item 16 was deleted, the determination values of the remaining 25 items ranged from 4.287 to 18.262 ( P<0.001). After item was removed one by one, the Cronbach′s α coefficient of the scale ranged from 0.870 to 0.888. After item 16 was removed, the Chinese version of the 25-item EBP-KAPF scale had good content validity, structural validity and discriminant validity. The content validity index (I-CVI) at the item level ranged from 0.875 to 1.000, and the content validity index at the overall agreement scale level was 0.615. The average S-CVI values were 0.952, and the probability of correction ( K*) values were 0.87 to 1.00. The results of confirmatory factor analysis showed that the structure fit was good [comparative fit index (CFI)=0.962, Tucker-Lewis index (TLI)=0.957, root mean square error of approximation (RMSEA)=0.060, χ2/ df=1.889]. Discriminant validity analysis showed that there were statistically significant differences in the EBP-KAPF scores among clinicians of different ages, evidence-based medicine course learning and related software use ( P<0.05). After item 16 was removed, the Cronbach′s α coefficient of the Chinese version of the EBP-KAPF scale was 0.893, and the Guttman half coefficients of each dimension were 0.915, 0.901, 0.812 and 0.906, respectively. The correlation coefficients were 0.902-0.982, 0.507-0.953, 0.517-0.744 and 0.632-0.986, respectively. Conclusion:The Chinese version of the EBP-KAPF scale is simple, easy to understand, unambiguous, and has good validity and reliability.

Purpose/Significance To explore the feasibility of applying blockchain technology to the current healthcare system of hos-pitals,and to achieve the purpose of protecting patients'privacy to the greatest extent possible at a lower cost.Method/Process 505 questionnaires are randomly distributed and collected from people of different age groups in Beijing,Tianjin,Shanghai and Shenzhen who have a certain degree of understanding of blockchain technology,and the results are analyzed.Result/Conclusion Different age groups are highly concerned about personal privacy and privacy protection,and are willing to accept blockchain as an emerging technology.There is a greater demand and acceptance for the application of blockchain technology in the primary health care systems.

Objective To compare the contents of alkaloid in Aconiti Kusnezoffii Radix with different degrees of processing and their effects on electrocardiogram and vagus nerve action potential in SD rats;To establish a toxicity evaluation method for Aconiti Kusnezoffii Radix and its processed products.Methods HPLC was used to determine the contents of six alkaloid components,including benzoyl neoaconitine,benzoyl aconitine,benzoyl subeaconitine,neoaconitine,subeaconitine and aconitine in Aconiti Kusnezoffii Radix and Aconiti Kusnezoffii Radix Cocta of soaking and boiled for 30 minutes,boiled for 4 h without soaking,soaking and boiled for 4 h,and soaking and boiled for 8 h.SD rats were subjected to sublingual drainage with Aconiti Kusnezoffii Radix and four types of processed products.The vagus nerve action potential and electrocardiogram of rats before and after administration were recorded,and the correlation analysis between alkaloid content and vagus nerve action potential and heart rate was conducted.Results The contents of alkaloid of the four processed products showed that the content of diester alkaloids was soaking and boiled for 30 min>boiled for 4 h without soaking>soaking and boiled for 4 h>soaking and boiled for 8 h;monoester alkaloid content:boiled for 4 h without soaking>soaking and boiled for 30 min>soaking and boiled for 4 h>soaking and boiled for 8 h.After the administration of each sample,compared with the basal discharge,the vagus nerve discharge of rats with different processed products was changed by sublingual administration,heart rate increased,the degree of arrhythmia increased,and it varied with the degree of processing;the results of correlation analysis showed that there was a significant correlation between the nerve discharge area and the contents of diester alkaloids and total alkaloids.Conclusion The action potential of the vagus nerve and electrocardiogram of rats after sublingual drainage administration can reflect the degree of numbness in the tongue,which can provide reference for the study of tongue sensation of Aconiti Kusnezoffii Radix.

Objective:To translate Evidence-based Practice-knowledge, attitude, application, anticipated future use (EBP-KAPF) scale into Chinese, and evaluate its reliability and validity.Methods:The Chinese version of the EBP-KAPF scale was determined through translation, adaptation, recall, review and pre-investigation. From July to August 2022, 250 clinicians from 28 provinces (autonomous regions and municipalities directly under the Central Government) were selected by using the convenience sampling method. A self-made questionnaire was used to investigate the EBP-KAPF scale in Chinese to investigate the EBM ability of clinicians, including the basic information of the respondents, the learning and use of Evidence-based medicine courses and related software. The item analysis, validity and reliability evaluation of the Chinese version of the EBP-KAPF scale were performed.Results:The Chinese version of the EBP-KAPF scale included 26 items in four dimensions: knowledge mastery, attitude, personal application and future use. A total of 265 questionnaires were sent out (including self-made questionnaires and the Chinese version of the EBP-KAPF scale), and 250 effective questionnaires were obtained, with a total effective rate of 94.3%. The total score of the Chinese version of the EBP-KAPF scale was (102.85±17.48) points, and the scores of knowledge mastery, attitude, personal application and future use sub-scales were (27.22±4.47), (13.56±7.70), (20.07±6.78), and (42.00±9.00) points, respectively. Except for item 16, all items were correlated with the total score of the scale, and the correlation coefficient ranged from 0.456 to 0.828. After item 16 was deleted, the determination values of the remaining 25 items ranged from 4.287 to 18.262 ( P<0.001). After item was removed one by one, the Cronbach′s α coefficient of the scale ranged from 0.870 to 0.888. After item 16 was removed, the Chinese version of the 25-item EBP-KAPF scale had good content validity, structural validity and discriminant validity. The content validity index (I-CVI) at the item level ranged from 0.875 to 1.000, and the content validity index at the overall agreement scale level was 0.615. The average S-CVI values were 0.952, and the probability of correction ( K*) values were 0.87 to 1.00. The results of confirmatory factor analysis showed that the structure fit was good [comparative fit index (CFI)=0.962, Tucker-Lewis index (TLI)=0.957, root mean square error of approximation (RMSEA)=0.060, χ2/ df=1.889]. Discriminant validity analysis showed that there were statistically significant differences in the EBP-KAPF scores among clinicians of different ages, evidence-based medicine course learning and related software use ( P<0.05). After item 16 was removed, the Cronbach′s α coefficient of the Chinese version of the EBP-KAPF scale was 0.893, and the Guttman half coefficients of each dimension were 0.915, 0.901, 0.812 and 0.906, respectively. The correlation coefficients were 0.902-0.982, 0.507-0.953, 0.517-0.744 and 0.632-0.986, respectively. Conclusion:The Chinese version of the EBP-KAPF scale is simple, easy to understand, unambiguous, and has good validity and reliability.

Objective:To explore the active ingredients of shengxian and jinshuiliujun decoction with the method of network pharmacology, and to verify the experimental mechanism of its treatment of silicosis.Methods:In May 2023, the active ingredients and targets of drugs in shengxian and jinshuiliujun decoction were obtained through the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database. The target of silicosis disease was screened by databases such as Genecards, Disease Gene Network (DisGeNET), Comparative Toxicogenomics Database (CTD), etc. The screened drug targets and disease targets were intersected to obtain the target set of shengxian and jinshuiliujun decoction for the treatment of silicosis. Protein-protein interaction (PPI) network analysis was performed on the target set through STRING database, and core target genes were screened. GO enrichment analysis and KEGG pathway analysis of intersection genes were performed based on Metascape database, and molecular docking verification of key components and targets of shengxian and jinshuiliujun decoction was carried out. Twenty-four adult male SD rats with SPF grade were randomly divided into control group, model group and TCM intervention group, with 8 rats in each group. The dust-stained rat model was prepared by non-tracheal exposure of 1 ml silica suspension (50 mg/ml) in one go, and TCM intervention group was given shengxian and jinshuiliujun decoction[6 g/ (kg·d) ] on the second day. The CT of the lungs of each group was observed 28 days after the dust-stained rat model. Paraffin sections of rat lung tissues were prepared and stained with Hematoxylin-Eosin (HE) and Masson. Western blot was used to verify the expression of core target-related proteins in rat lung tissues after the intervention of shengxian and jinshuiliujun decoction for 28 days, and the differences in protein expression between groups were compared by one-way analysis of variance.Results:A total of 205 active ingredients and 3345 active compounds were selected from shengxian and jinshuiliujun decoction, corresponding to 281 targets, among which 240 targets were related to silicosis. Serine/threonine kinase 1 (AKT1), tumor protein p53 (TP53), tumor necrosis factor (TNF) and interleukin (IL) 6 may be the key targets of shengxian and jinshuiliujun decoction in the treatment of silicosis. Through enrichment analysis, 30 GO entries and 20 potential signaling pathways were screened according to P-value, including nuclear factor κB (NF-κB), mitogen-activated protein kinase (MAPK) and cancer signaling pathways. Molecular docking showed that the active compounds of shengxian and jinshuiliujun decoction had good binding with the core target proteins, and the strongest binding properties were beta-sitosterol and TNF-α (-10.45 kcal/mol). In animal experiments, the inflammatory infiltration and fibrosis of lung tissue of rats in TCM intervention group were significantly improved. Compared with control group, the levels of TNF-α, IL-1β, IL-6 and NF-κB in lung tissue of model group were significantly increased ( P<0.05). Compared with model group, the lung injury of rats in TCM intervention group was significantly improved, and the expressions of TNF-α, IL-1β, IL-6 and NF-κB were significantly decreased ( P<0.05) . Conclusion:Shengxian and jinshuiliujun decoction in the treatment of silicosis may play an anti-fibrosis role by inhibiting the NF-κB signal transduction pathway mediated by inflammatory factors such as TNF-α and IL-1β, which provides a reference for further exploring the material basis and mechanism of its action.

Objective:To analyze the correlation between homocysteine (Hcy), ferritin and gestational anemia in advanced age pregnant women, and the effect on adverse pregnancy outcomes.Methods:The clinical data of 344 advanced age pregnant women in Handan City Maternal and Child Health Hospital from March 2021 to June 2022 were retrospectively analyzed. The adverse pregnancy outcomes were followed up and recorded. The pregnant women were divided into anemia group (114 cases) and control group (230 cases) according to the diagnostic criteria for anemia. The levels of Hcy and ferritin, etc. were compared between two groups, different degrees of anemia and different pregnancy outcomes. Pearson method was used to analyze the correlation between Hcy, ferritin and hemoglobin. Multivariate Logistic regression was used to analyze the independent risk factors of adverse pregnancy outcomes in advanced age pregnant women with gestational anemia.Results:The Hcy in anemia group was significantly higher than that in control group: (31.39 ± 3.34) mol/L vs. (9.28 ± 1.44) mol/L, the ferritin was significantly lower than that in control group: (69.81 ± 5.08) μg/L vs. (96.43 ± 7.52) μg/L, and there were statistical differences ( P<0.01). Among 114 advanced age pregnant women with gestational anemia, 64 cases were mild anemia (mild anemia group), 35 cases were moderate anemia (moderate anemia group), and 15 cases were severe anemia (severe anemia group). The levels of Hcy in the control group, mild anemia group, moderate anemia group and severe anemia group were gradually increased: (9.28 ± 1.44), (24.79 ± 3.25), (37.63 ± 5.51) and (45.01 ± 7.23) mol/L, the levels of ferritin were gradually decreased: (96.43 ± 7.52), (81.19 ± 5.14), (64.82 ± 4.47) and (32.96 ± 2.01) μg/L, and the difference between pairwise comparisons were statistically significant ( P<0.05). Pearson correlation analysis result showed that Hcy was negatively correlated with hemoglobin ( r = - 0.596, P<0.01), and ferritin was positively correlated with hemoglobin ( r = 0.685, P<0.01). Among 114 advanced age pregnant women with gestational anemia, 35 cases had adverse pregnancy outcomes, and 79 cases had normal pregnancy outcomes. The age, gestational reproductive tract infection rate and Hcy in advanced age pregnant women with adverse pregnancy outcomes were significantly higher than those in advanced age pregnant women with normal pregnancy outcomes: (41.17 ± 3.74) years old vs. (38.25 ± 4.28) years old, 28.57% (10/35) vs. 10.13% (8/79) and (49.56 ± 4.12) mol/L vs. (23.34 ± 2.63) mol/L, the ferritin was significantly lower than that in advanced age pregnant women with normal pregnancy outcomes: (38.36 ± 3.08) μg/L vs. (83.74 ± 6.25) μg/L, and the degree of gestational anemia was more serious than that in advanced age pregnant women with normal pregnancy outcomes, and there were statistical differences ( P<0.01 or <0.05). Multivariate Logistic regression analysis result showed that age, gestational reproductive tract infection, Hcy, ferritin and the degree of gestational anemia were the independent risk factors of adverse pregnancy outcomes in advanced age pregnant women with gestational anemia ( OR = 1.570, 1.758, 1.865, 1.556 and 1.652; 95% CI 1.154 to 2.136, 1.181 to 2.617, 1.223 to 2.842, 1.100 to 2.201 and 1.175 to 2.323; P<0.01). Conclusions:The level of Hcy in advanced age pregnant women with gestational anemia is relatively higher, and the level of ferritin is relatively lower. The ferritin and Hcy levels are risk factors for adverse pregnancy outcomes in advanced age pregnant women with gestational anemia, and may be involved in the occurrence and development of gestational anemia in advanced age pregnant women.

Objective:To realize the optimization and upgradation of the detection method of you only look once(YOLO)algorithm model based on the improved YOLO network on the ultrasound image for breast tumor.Methods:A total of 659 images of breast tumor of the Kaggle database were selected as the initially dataset,and the image annotation tool Labelimg was used to conduct pre-labeling for the detection targets in the images.According to a ratio as 7:3,629 images of the 659 images were divided into the train set and validation set,and the other 30 images were used as the test set.The convolutional block attention module(CBAM)and bidirectional feature pyramid network(BiFPN)were introduced into the original YOLO algorithm to underwent structural improvement,which was named as YOLOv5-BiFPN-CBAM.Both the train set and validation set were placed in original YOLO algorithm model and YOLOv5-BiFPN-CBAM model to conduct train,which included 200 rounds of iterative training.The obtained optimal weight files were used in the final test of test set.Results:After 200 rounds of iterative train for two kinds of models,the test results of validation set indicated that the mean values of average precision of two kinds of models were respectively 72.1%and 80.5%for all ultrasound images of breast tumor.The result,that the optimal weight file of improved model was tested by test set,indicated the test ability of improved model was significantly enhanced than that of original model for small target in image.Conclusion:Compared with the original YOLO algorithm model,the improved YOLO algorithm model has higher recognition capability for image,which also enhances precision and sensitivity in identifying small targets of ultrasound images of breast tumor.This model is helpful to improve the diagnostic efficiency in clinical practice for breast tumor.