In response to the challenges of small scale and huge labor cost in biomedical feature modeling in current skin disease assisted diagnosis,as well as the inability to accurately describe the time series of patient disease features,a fusion text classification algorithm is used to integrate commonly used text classification models(TextLSTM,TextCNN,and RCNN)to obtain a model based on transfer learning and neural networks(TLNN model).By extracting the medical features of image sensors and quantizing them,the pretreatment reduces the number of foci and eliminates the feature information with large deviations,thus improving the accuracy of decision data.TLNN model achieves an accuracy of 72.36%on ISIC2018 and PH2 datasets,which is higher than those of the other 3 text classification models.The diagnostic accuracy of TLNN model is close to doctor's diagnosis(92%vs 94%),but the effective diagnostic efficiency is significantly higher than doctor's diagnosis(1.17 min/case vs 4.57 min/case),and the overall efficiency is improved by 290%.The results demonstrate that the fusion text classification algorithm model can obtain accurate diagnosis in less time than the traditional manual diagnosis.TLNN model can be applied to disease diagnosis,and assist doctors in medical decision-making,thereby providing patients with high-quality and convenient intelligent diagnosis and treatment services.

Objective: To analyze the different fabrication methods and surface structure of treated dentin matrix (TDM) and demineralized dentin matrix (DDM) and their diverse function on promoting the proliferation and osteogenic differential capability of human periodontal ligament cells (hPDLCs). This study provides a preliminary basis for the treatment of periodontal bone defects with bone substitutes from teeth. Methods: TDM was made from human dentin matrices and demineralized incompletely by soaking in different concentrations of ethylene diamine tetra-acetic while DDM was made of human dentin matrices and demineralized completely by soaking in a hydrochloric acid solution followed by observation via SEM. The liquid extracts of TDM and DDM were collected according to the protocol of the International Standardization Organization (ISO 10993). Then, hPDLCs were divided into the following three groups: the TDM group (liquid extracts of TDM), the DDM group (liquid extracts of DDM), the control group (a-modified eagle medium with 10% fetal bovine serum), hPDLCs were cultured with liquid extracts of TDM or DDM, or a-modified eagle medium with 10% FBS). hPDLC proliferation was detected by a Cell Counting Kit-8 (CCK-8). The alkaline phosphatase (ALP) expression and calcified nodules of hPDLCs were tested. Results : TDM obtained a preferable surface structure compared to DDM due to more sufficiently exposed dentinal tubules and looser fiber bundles of the intertubular and peritubular dentin. Both TDM and DDM promoted the proliferation of hPDLCs compared with the control group, and the proliferation of hPDLCs was significantly greater in the TDM group compared to the DDM group (F = 36.480, P < 0.05). The ALP activity of hPDLCs in the TDM group was higher than the DDM group. After a 14-day osteogenic induction, Alizarin red staining mineral nodes were observed in both groups; however, the TDM group displayed more calcified nodules than the DDM group. Conclusion The advantages of TDM including the surface structure, proliferation and osteogenic differentiation of hPDLCs, are more prominent than those of DDM, suggesting that TDM is a potential promising bone graft substitute in periodontal regeneration.

OBJECTIVE：To study the co rrelation of the chro maticity value of Schizonepeta tenuifolia charcoal of different processing time（0-40 min，similarly herein after）with multiple indicators ，and to reveal the quality change law of S. tenuifolia charcoal during processing and confirm the terminal time. METHODS ：The contents of ethanol-soluble extracts from S. tenuifolia charcoal decoction pieces of different processing time were determined. UPLC fingerprint of S. tenuifolia decoction pieces and S. tenuifolia charcoal decoction pieces of different processing time were established ，and the similarity evaluation was also conducted. The chromatographic peaks were confirmed by comparison with substance control. The same UPLC conditions were used to determine the contents of index components （hesperidin，rosmarinic acid ，menthone）in S. tenuifolia charcoal decoction pieces of different processing time. The colorimetric method was used to measure the chromaticity value of S. tenuifolia charcoal decoction pieces of different processing time. Meanwhile ，sample of processing 0 min was used as a control to calculate the total color value （E）and the total color difference value （ΔE）. Pearson correlation analysis ，cluster analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）were performed on the ethanol-soluble extracts ，index component contents ，chromatographic peak area and chromaticity value. The terminal time of processing S. tenuifolia charcoal was conf irmed，and validation test was also conducted. RESULTS ：With the extension of processing time ， the content of ethanol-soluble extract in S. tenuifolia charcoal qq.com decoction pieces gradually decreased. A total of 17 chromato- graphic peaks were identified in 12 batches of S. tenuifolia decoction piece ，and its si milarity with the control fingerprint was greater than 0.9. 21 chromatographic peaks were identified in S. tenuifolia charcoal decoction pieces of different processing time，and its similarity with the chromatogram of sample of processing 0 min decreased with the processing time ，and the similarity after 18 min was lower than 0.9. The chromatographic peak 9 was hesperidin ，peak 10 was rosmarinic acid and peak 17 was menthone. The determination of content and chromaticity value showed that with the extension of processing time ，the contents of hesperidin ，rosmarinic acid and menthone decreased gradually ；the color L，b and E values of S. tenuifolia charcoal decoction piece powder decreased gradually ，and the a and ΔE values increased gradually. Pearson correlation analysis showed that the contents of ethanol-soluble extract ，hesperidin，rosmarinic acid and menthone ，the peak areas of 15 chromatographic peaks （peak 2，7-15，17-21）were significantly positively correlated with E value（P＜0.01）；the peak areas of 5 chromatographic peaks （peak 1，3-6）were significantly negatively correlated with E value（P＜0.01），but peak area of peak 16 was not related to E value（P＞ 0.05）. Results of cluster analysis showed that S. tenuifolia charcoal decoction pieces of different processing time were divided into 2 categories；the first category was processed for 0-16 min，and the second category was processed for 18-40 min. The results of OPLS-DA showed that the VIP values of peak 6 area（2.800 75），L value（2.327 54），peak 3 area（1.793 39），b value（1.735 78） and peak 5 area（1.244 04）were greater than 1. The final processing time of S. tenuifolia charcoal was 18 min. The results of validation experiment showed that the L，a and b values of S. tenuifolia charcoal decoction piece were 20.22-22.00，4.44-7.67， 9.78-13.00，and ΔE were 13.50-14.12，respectively. CONCLUSIONS ：The chromaticity value of S. tenuifolia charcoal decoction pieces of different processing time is closely related to the contents of ethanol-soluble extract ，hesperidin，rosmarinic acid ， menthone and the area of 20 chromatographic peaks. It is suggested that the terminal time of processing S. tenuifolia is 18 min.

Objective:To explore the impact of PM 2.5 concentration in Shanghai on the incidence of allergic rhinitis（AR） in the population, and provide strategies for early warning and prevention of AR. Methods:Collect daily average concentrations of atmospheric pollutants monitored in Shanghai from January 1, 2017 to December 31, 2019, and clinical data of AR patients from five hospitals in Shanghai during the same period. We used a time-series analysis additive Poisson regression model to analyze the correlation between PM 2.5 levels and outpatient attendance for AR patients. Results:During the study period, a total of 56 500 AR patients were included, and the daily average concentration of PM 2.5 was（35.28±23.07）μg/m³. There is a correlation between the concentration of PM 2.5 and the number of outpatient attendance for AR cases. There is a positive correlation between the daily average number of outpatient for AR and levels of PM 2.5 air pollution（（P<0.05）） . We found that every 10 μg/m³ increase in PM 2.5, the impact of on the number of AR visits was statistically significant on the same day, the first day behind, and the second day behind, with the strongest impact being the exposure on the same day. Every 10 μg/m³ increases in PM 2.5, the number of outpatient visits increased by 0.526% on the same day（95%CI 1.000 50-1.010 04）. Conclusion:The atmospheric PM 2.5 concentration in Shanghai is positively correlated with the number of outpatient for AR, and PM 2.5 exposure is an independent factor in the onset of AR. This provides an important theoretical basis for AR.
Humans ; Particulate Matter/analysis* ; Air Pollutants/adverse effects* ; Incidence ; China/epidemiology* ; Air Pollution/adverse effects* ; Rhinitis, Allergic/etiology*