Subjects: Medicine, Pharmacy >> Preventive Medicine and Hygienics submitted time 2024-03-26 Cooperative journals: 《中国全科医学》
Abstract： Background The level and quality of diagnosis and treatment of Helicobacter pylori（Hp）infections in Shanghai's community health service Institutions is unclear，and there is a lack of systematic evaluation and monitoring. Objective To understand the current status of diagnosis，treatment and management of Helicobacter pylori（Hp）infection in community health centers in Shanghai，to evaluate the quality of diagnosis and treatment，and to explore the problems and improvement measures. Method A questionnaire was distributed to a total of 249 community health centers in 16 administrative districts of Shanghai and 3 875 general practitioners（GPs）working in the community health centers from May to June 2022 to investigate the standardization of prescriptions for the eradication of Hp infections in the community health centers，the detection of Hp infections，the provision of drugs for the eradication of Hp infections，the management of Hp infections，the difficulties of Hp infections in the treatment of Hp infections，as well as the knowledge of community-based GPs on the diagnosis and treatment of Hp infections. Result The result of the prescription eradication program for Hp infection in primary health care facilities in Shanghai was only 32.0 percent correct. The proportion of health service centers with the ability to conduct Hp infection testing in primary healthcare institutions in Shanghai is high，nearly 80%. Most of the community health service centers were able to equip the basic medicines needed for the eradication of Hp，but the rate of bismuth equipment was low，54.6%. The rate of Hp diagnosis and treatment standard supervision was 80.0%. The demand for the training of standardized diagnosis and treatment of Hp infections was high，accounting for 66.7%. The main difficulties in Hp infection diagnosis and treatment were incomplete drug provision，insufficient doctor's diagnosis and treatment ability and insufficient equipment. Community general practitioners do not have enough basic knowledge about the diagnosis and treatment of Hp infection. Conclusion The capacity to conduct Hp testing needs to be further strengthened in primary care organizations in Shanghai，especially in remote community health service centers，including the purchase of more Hp-related testing equipment and reagents，and the completion of related medications needed for the eradication of Hp. In addition，it is necessary to further strengthen the standardized diagnosis and treatment training of Hp infection for community health centers，improve the diagnosis and treatment ability of general practitioners on Hp infection，and at the same time，strengthen the supervision of Hp diagnosis and treatment standardization，so as to further improve the diagnosis and treatment ability of community general practitioners on Hp infection.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-08-13 Cooperative journals: 《计算机应用研究》
Abstract： With the increasing number of the vehicles, the intelligent transportation system requires accurately and quickly detect vehicles in videos under complex conditions. Hence, this paper proposed an efficient vehicles detection scheme basing on the existing works. Firstly, it selected a pixel based adaptive segmentation algorithm to linearly optimize its background model, which could reduce the compute complexity and extract the foreground spot as Defined Range Approach. Then, it used threshold determination to determine the region of interest; In the region of interest, it selected the Haar-like features and histogram of oriented gradient (HOG) features and used them as input of the optimized AdaBoost + support vector machine (SVM) cascade classifier for vehicles detection. The proposed algorithm used the OpenCV library. These methods guarantee the real-time performance of the algorithm. The substancial experiments demonstrated the superiority of the linearized Pixel Based Adaptive Segmentation, the rapidity of the Adaboost+Support Vector Machine cascaded classifier, and the real-time processing abality and the illumination robustness of the overall vehicle detection algorithm in detecting vehicles.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-20 Cooperative journals: 《计算机应用研究》
Abstract： In order to take into account the fidelity and computational efficiency of cloth simulation, this paper presented a construction method of multi-resolution cloth based on low-resolution cloth sampling. Firstly, through sampling a simulation example of low-resolution cloth movement several times, this paper obtained the average deformation degree, which represented by the average deformation degree of the vertex and the edge collision mark. Then, according to the results of sampling, it divided the region of low-resolution into high deformation area, middle deformation area and low deformation area. Next, it used the improved adaptive subdivision algorithm to refine the three deformation areas in different extent, so as to construct the multi-resolution geometric model. Finally, through the definition of the mass and the spring coefficient of the cloth, it obtained the multi-resolution physical model. This paper reduces multi-resolution grid number and improves computational efficiency relative to the high-resolution grid. It also improves the fidelity of cloth simulation compare to the low-resolution grid.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-20 Cooperative journals: 《计算机应用研究》
Abstract： To realize the rapid collision detection between cloth and human body in cloth simulation, a collision detection method based on ellipsoid fitting is proposed. Firstly, the geometric distance isoline was used as the basic data. And the model feature points was extracted by combining the linear relationship between body size and height with the structural features of the human body, which realized the semantic segmentation of the model. Secondly, the average of the radial distance was used to represent the fitting error between an ellipsoid and the model. And the number of cluster centers was gradually increased by bisecting K-means clustering algorithm based on pruning optimization. It could realize the rapid clustering of human model and generate a series of minimum ellipsoids. Finally, cloth grid points was detected with the ellipsoids instead of the model. Simulation experiments show that this method not only realizes the fast fitting of the human model, but also effectively improves the computational efficiency of collision detection.
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