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RISS 인기검색어
- 검색키워드
- 저자 : Li Meijun (검색결과 4 건)
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Meijun He,Qun Wang,Da Yao,Jing Li,Guang Bai 대한소화기 기능성질환∙운동학회 2022 Journal of Neurogastroenterology and Motility (JNM Vol.28 No.2
Background/AimsThe incidence of gastroesophageal reflux disease (GERD) is increasing annually. Studies have suggested that psychosocial disorders may be linked to the development of GERD. However, studies evaluating the association between psychosocial disorders and GERD have been inconsistent. Thus, we conducted a systematic review and meta-analysis of observational studies that evaluated the association between psychosocial disorders and GERD. MethodsWe systematically searched the PubMed, Embase, Cochrane, and Web of Science databases until October 17, 2020. Pooled OR with 95% CI and subgroup analyses were calculated using a random-effects model. Subgroup analyses were performed to identify the sources of heterogeneity. Sensitivity analysis by one-study removal was used to test the robustness of our results. ResultsThis meta-analysis included 1 485 268 participants from 9 studies. Studies using psychosocial disorders as the outcome showed that patients with GERD had a higher incidence of psychosocial disorders compared to that in patients without GERD (OR, 2.57; 95% CI, 1.87-3.54; I2 = 93.8%; P < 0.001). Studies using GERD as an outcome showed an association between psychosocial disorders and an increased risk of GERD (OR, 2.23; 95% CI, 1.42-3.51; I2 = 97.1%; P < 0.001). The results of the subgroup analysis showed that the non-erosive reflux disease group had a higher increased risk of anxiety than erosive reflux disease group (OR, 9.45; 95% CI, 5.54- 16.13; I2 = 12.6%; P = 0.285). ConclusionResults of our meta-analysis showed that psychosocial disorders are associated with GERD; there is an interaction between the two.
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Tieyan Zhang,Silin Wang,Meijun Li 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.8
Distributed renewable energy generation is lack of intelligent information processing and decision-making section. The above problems can be solved effectively by the means of intelligent information processing technology based on the dynamic structure of multi-agent for distributed renewable energy. In order to solve the problems of less data and poor information, this paper puts forward fuzzy hyperbolic model and attempts to use dynamic intelligent information processing technology based on multi-agent to change the unreliable, inaccurate information into be full, reliable and accurate. And then the information we have obtained could be intelligent fitted, filtered and decided. The self-organizing self-learning and reasoning ability of multi-agent are considered when the information processing. The intelligent information processing section is comprised of three layers and two kinds of agents. The two kinds of agents are Bus Agents and Coordination Agents, and the three structural layers are the data layer, the filter layer and the policy making layer. Moreover the information have been processed could be utilized.
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Zhu Gaojia,Jia Nan,Li Longnv,Liu Tao,Xue Ming,Li Meijun 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.6
Due to the high power density characteristics of permanent magnet (PM) traction motors and the strict loading conditions of electric vehicle (EV) engine compartments, the excessive losses inside the motors can elevate rapidly the temperature rises, deteriorate the magnetic property of PMs, limit the output torques, and even cause the overheating damages of the machines. In order to guarantee the operational reliability, it’s of vital importance to research and develop the eff ective, reliable and economical cooling systems for improving the working performances of the PM traction motors. In this paper, the three-dimensional (3D) fl uidic-thermal coupled model of a high power density interior PM traction motor is established based on the basic theory of computational fl uid dynamics (CFD) and numerical heat transfer. The fl uid fl ow and thermal distributions are analyzed based on fi nite volume method (FVM), and verifi ed by experimental results. According to the heating characteristics of the motor, the external water frame structure of the motor shell is modifi ed to improve the cooling effi ciency. Taguchi method is used to optimize the cooling structural parameters, so as to reduce the steady-state temperature rise of the motor. The research work in this paper has certain reference signifi cance for the design and development of high power density PM traction motors used in EV applications.
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