Spatial analysis of tuberculosis treatment outcomes in Shanghai: implications for tuberculosis control

Zhang Jing,Shen Xin,Yang Chongguang,Chen Yue,Guo Juntao,Wang Decheng,Zhang Jun,Lynn Henry,Hu Yi,Pan Qichao,Zhang Zhijie 한국역학회 2022 Epidemiology and Health Vol.44 No.-

OBJECTIVES: Tuberculosis (TB) treatment outcomes are a key indicator in the assessment of TB control programs. We aimed to identify spatial factors associated with TB treatment outcomes, and to provide additional insights into TB control from a geographical perspective.METHODS: We collected data from the electronic TB surveillance system in Shanghai, China and included pulmonary TB patients registered from January 1, 2009 to December 31, 2016. We examined the associations of physical accessibility to hospitals, an autoregression term, and random hospital effects with treatment outcomes in logistic regression models after adjusting for demographic, clinical, and treatment factors.RESULTS: Of the 53,475 pulmonary TB patients, 49,002 (91.6%) had successful treatment outcomes. The success rate increased from 89.3% in 2009 to 94.4% in 2016. The successful treatment outcome rate varied among hospitals from 78.6% to 97.8%, and there were 12 spatial clusters of poor treatment outcomes during the 8-year study period. The best-fit model incorporated spatial factors. Both the random hospital effects and autoregression terms had significant impacts on TB treatment outcomes, ranking 6th and 10th, respectively, in terms of statistical importance among 14 factors. The number of bus stations around the home was the least important variable in the model.CONCLUSIONS: Spatial autocorrelation and hospital effects were associated with TB treatment outcomes in Shanghai. In highly-integrated cities like Shanghai, physical accessibility was not related to treatment outcomes. Governments need to pay more attention to the mobility of patients and different success rates of treatment among hospitals.

Optimization of the Structural Parameters of the Vertical Trabeculae Beetle Elytron Plate Based on the Mechanical and Thermal Insulation Properties

Zhijie Zhang,Elbashiry Mohamed Adam Elsafi,Jinxiang Chen,Peixing Wei,Yaqin Fu 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.12

According to the excellent structure of the beetle elytron plate (BEP), a new type of bionic prefabricated wallboard with vertical trabeculae and honeycomb walls (the vertical trabeculae beetle elytron plate: VBEPsc) was proposed. The relationships between the main structural parameters, including the concrete frame thickness (T), honeycomb wall thickness (t), trabecula number (N) and trabecular radius (R), and the performance of the VBEPsc were analyzed. In addition, to improve the mechanical and insulation performance of the VBEPsc, an initial optimal design was determined. The results showed that 1) in addition to the mechanical properties of the VBEPsc being mainly affected by T, as is known, N had an apparent impact on the stiffness of the VBEPsc; the insulation performance was affected greatly by T, N, and t. 2) Under the given conditions, the mechanical properties of the optimized VBEPsc met the requirements for bearing capacities and serviceability; The insulation performance of the optimized VBEPsc met the requirements for self-insulating walls of category II buildings in areas that are cold in winter and hot in summer. In addition, a double-layer mold and complete production technology for VBEPsc were proposed. These works started a discussion for the application of such prefabricated wallboards.

Study on Consumer Behavior Predict in E-commerce Based on Multi-Agent

YanRong Zhang,ZhiJie Zhao 보안공학연구지원센터 2014 International Journal of u- and e- Service, Scienc Vol.7 No.6

This paper adopted the method of user interest concept tree based on domain ontology, and proposed a multi-agent based consumer behavior forecasting model in e-commerce to overcome the limitations of traditional consumer behavior forecasting method. The model consists of multiple agents. They are consumer behavior forecast agent, user interest model management agent, monitoring agent and source data monitoring agent. These agents collaborate with each other and then predict consumer behavior. In order to validate the feasibility of the model, the paper combined with the artificial intelligence technology, the database technology, the networkings as well as the electronic commerce correlation technique to build e-commerce consumer behavior predict expert system. From the test results, compared with the original method, it can effectively analyze and predict e-commerce customers consumer behavior, and can be concluded that the customer's overall consumption trend.

Stem cells from human exfoliated deciduous teeth attenuate trigeminal neuralgia in rats by inhibiting endoplasmic reticulum stress

Yang, Zhijie,Wang, Chun,Zhang, Xia,Li, Jing,Zhang, Ziqi,Tan, Zhao,Wang, Junyi,Zhang, Junyang,Bai, Xiaofeng The Korean Pain Society 2022 The Korean Journal of Pain Vol.35 No.4

Background: The treatment of trigeminal neuralgia remains a challenging issue. Stem cells from human exfoliated deciduous teeth (SHED) provide optimized therapy for chronic pain. This study aimed to investigate the mechanisms underlying the attenuation of trigeminal neuralgia by SHED. Methods: Trigeminal neuralgia was induced by chronic constriction injury of the infraorbital nerve. The mechanical threshold was assessed after model establishment and local SHED transplantation. Endoplasmic reticulum (ER) morphology and Caspase12 expression in trigeminal ganglion (TG) was evaluated as well. BiP expression was observed in PC12 cells induced by tunicamycin. Results: The local transplantation of SHED could relieve trigeminal neuralgia in rats. Further, transmission electron microscopy revealed swelling of the ER in rats with trigeminal neuralgia. Moreover, SHED inhibited the tunicamycin-induced up-regulated expression of BiP mRNA and protein in vitro. Additionally, SHED decreased the up-regulated expression of Caspase12 mRNA and protein in the TG of rats caused by trigeminal neuralgia after chronic constriction injury of the infraorbital nerve mode. Conclusions: This findings demonstrated that SHED could alleviate pain by relieving ER stress which provide potential basic evidence for clinical pain treatment.

An Effective Image Coding Method using Lattice Vector Quantization in Wavelet Domain

Lizhi Zhang,Mingrui Zhang,Qinghe Pan1,Tao Wang,Zhijie Zhao,Xuesong Jin 보안공학연구지원센터(IJSIP) 2014 International Journal of Signal Processing, Image Vol.7 No.2

Research on Advanced Control Strategies of Induction Motor System

Junmei Zhao,Zhijie Zhang,Yifeng Ren 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.1

The induction motor (IM) is a nonlinear, uncertain, and complex controlled object that is difficult to drive and control. When the system parameters change or has external disturbance signal, the system cannot return to the original state of equilibrium, to which active disturbance rejection control (ADRC) has been shown to be an effective solution. ADRC regards the external disturbance and strong coupling structure of induction motor (IM) as the total disturbance, which is observed and compensated by extended state observer, and does not depend accurate system mathematical model, and has strong anti-interference and robustness. In this paper, a new control strategy----Tornambe control is used in the speed regulator of IM system instead of ADRC. It has the similar control thought to the ADRC, and has the simple structure, less setting parameters, and is convenient to study and use. In this paper, the direct torque control strategy is adopted to drive the IM. The active disturbance rejection control and Tornambe control are used instead of traditional speed regulator, the system performance of the two control strategy are compared. The results show that the system performance of TC strategy is better than that of ADRC.

Improved Received Signal Strength Ratio Based High Accuracy Indoor Visible Light Positioning Scheme

Zhijie Luo,JinHua Wang,WenWen Zhao,JianKun Luo,WeiNan Zhang,GuoFu Zhou 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.12

With the increasingly development of Light-emitting Diode (LED) lighting, in this paper, we proposed an Indoor Visible Light Positioning (VLP) Scheme by using visible LED lights for accurate localization. The basic idea of the position scheme is to improve received signal strength ratio algorithm. Received signal strength ratio (RSSR) is the relative ratio of optical powers detected between each LED and optical receiver. In this paper, we introduce concept of multiple LEDs selection to improve RSSR positioning algorithm. By three LEDs are reasonably selected from the multiple LEDs deployed in the room, the positioning accuracy of RSSR is improved. The system can be employed easily because it does not require additional sensors and occlusion problem in visible light would be alleviated. In addition, we performed the simulation experiments, and confirmed the feasibility of our proposed method.

Twin Minimax Probability Machine for Handwritten Digit Recognition

Zhijie Xu,Jianqin Zhang,Hengyou Wang 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.2

Handwritten digit recognition is a task of great importance in many applications. There are different challenges faced while attempting to solve this problem. It has drawn much attention from the field of machine learning and pattern recognition. Minimax probability machine (MPM) is a novel method in machine learning and data mining. In this paper, we present an extension algorithm for MPM, which is named twin minimax probability machine (TWMPM). TWMPM generates two hyperplanes to improve the classification accuracy. Experiment results on several data sets from the UCI repository demonstrate that TWMPM can improve performance of MPM in most cases. The proposed method is used for recognizing the handwritten digits provided in the MNIST data set of images of handwritten digits (0-9). The testing accuracies are improved comparing with MPM.

Microwave Dielectric Properties of High-Q Mg(SnxTi1-x)O3 Ceramics

Zhijie Gong,Zhefei Wang,Lixi Wang,Zhenxiao Fu,Wei Han,Qitu Zhang,김응수 대한금속·재료학회 2013 ELECTRONIC MATERIALS LETTERS Vol.9 No.3

A series of Sn-doped Mg(SnxTi1-x)O3 ceramics were prepared using the conventional solid-state route. The influence of Sn4+ substitution for Ti4+ on the microstructure and microwave dielectric properties of Mg(SnxTi1-x)O3ceramics was systematically investigated. Substitution with a suitable amount of Sn can eliminate the MgTi2O5phase. The dielectric constants and temperature coefficients of resonant frequency changed slightly with the variation in Sn content in the specimens. However, the quality factors (Q) dramatically improved and were sensitive to the concentration of Sn4+. The high Q value was attributed to the uniform grain, clean and narrow grain boundary, and elimination of the MgTi2O5 phase. Moreover, the composition-optimized Mg(Sn0.05Ti0.95)O3ceramics sintered at 1390°C exhibited excellent microwave dielectric properties of εr = 17.61, Q×f = 328,543GHz, and τf = −42 ppm/°C.

The synthesis of MDMO-PPV capped PbS nanorods and their application in solar cells

Zhijie Wang,Shengchun Qu,Xiangbo Zeng,Junpeng Liu,Changsha Zhang,Mingji Shi,Furui Tan,Zhanguo Wang 한국물리학회 2009 Current Applied Physics Vol.9 No.5

Poly[2-methoxy-5-(3',7'-dimethyloctyloxy)-1,4-phenylenevinylene] (MDMO-PPV) capped PbS nanorods about 100 nm in diameter and 400 nm in length were synthesized via a hydrothermal route in toluene and dimethylsulfoxide solution. By blending the PbS nanorods with the MDMO-PPV as the active layer, bulk heterojunction solar cells with an indium tin oxide (ITO)/polyethylenedioxythiophene/polystyrenesulphonate (PEDOT: PSS)/MDMO-PPV: PbS nanorods/Al structure were fabricated in a N2 filled glove box. Current density–voltage characterization of the devices showed that the solar cells with PbS nanorods hybrid with MDMO-PPV as active layer were better in performance than the devices with the polymer only.