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 analyze the epidemiological and etiological characteristics of hand-foot-mouth disease (HFMD) in Tongren City during 2018 to 2022, so as to provide the reference for HFMD effective prevention and control. Methods: Monitoring data on HFMD in Tongren City from 2018 to 2022 was collected from National Infectious Disease Reporting Information Management System. Descriptive epidemiological method was conducted on the data analysis. Results: A total of 14 376 cases of HFMD were reported in Tongren City during 2018 to 2022, the average annual incidence rate of HFMD was 89.43/100 000. Totally 47 severe cases were reported, accounting for 0.33% of the total cases. The incidence rates of HFMD were generally declining trend during 2018 to 2022 (124.68/100 000, 95.37/100 000, 78.50/100 000, 61.63/100 000, 87.80/100 000) ( χ 2 trend =393.05, P <0.01), mainly occurred during April to July (48.13%), among children under 5 years old (95.72%). During 2018 to 2022, a total of 967 laboratory diagnosed cases reported in different years, regions, age groups showed significant differences in pathogen composition ratio ( χ 2=169.62, 456.65 , 167.96, P <0.05). From 2018 to 2022, the dominant pathogen of HFMD was constantly changing. Other enteroviruses were the dominant epidemic strains in 2018 and 2022 (33.04%, 37.62%), CoxA 6 was the dominant epidemic strain in 2019 to 2020 ( 68.75 %, 50.78%), and CoxA16 was the dominant epidemic strain in 2021(43.30%).In 2018, one case was infected with CoxA16 and EV71.The difference of pathogen composition ratio varied in different years ( χ 2=169.62, P <0.01). Conclusions The prevalence of HFMD in Tongren City has showed a declining trend during 2018 to 2022, and the dominant strain of HFMD has changed in recent years. The pathogen monitoring of HFMD should be strengthened to timely grasp the distribution and changes of pathogens, so as to provide a basis for the precise prevention and control of HFMD.

This paper demonstrates a 3D rotatory chair and the development of control rotatory system based on PLC, corresponding software and user interface. The PLC-based three-dimensional rotatory chair has the advantage of maneuverability and stability according to the result of the experiment.
Equipment Design ; Labyrinth Diseases ; rehabilitation ; Rehabilitation ; instrumentation ; Software ; User-Computer Interface

In the past few years,it has been disclosed that identified epigenetic processes and epigenetic changes are involved in human diseases.Disorders of these processes may influence chromatin structure and gene expression,which may result in complicated syndroms,multiple-factor diseases and cancers. The researchprogress of epigenetic processes of several diseases is reviewed in this paper.