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RISS 인기검색어
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- 저자 : Meijun Wang (검색결과 5 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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Design of Large-Stroke and High-Resolution Drive System Based on Giant Magnetostrictive Material
Tian Xie,Chuanli Wang,Caofeng Yu,Meijun Xiong 한국정밀공학회 2021 International Journal of Precision Engineering and Vol.22 No.5
A novel macro–micro linear actuator based on the giant magnetostrictive material has been proposed to achieve high precision and large-stroke. This structure uses a permanent magnet drive coil structure, and a new cylindrical structure permanent magnet linear actuator is made according to the principle of Lorentz force. The permanent magnet and the shell form stator part, and the giant magnetostrictive actuator (GMA) structure is embedded in the interior as a mover structure to achieve macro-motion displacement; the micro-motion can be realized by controlling the GMA. The micro-motion component and the macro-motion component can always remain coaxial in structure and integrated on a motor structure. The actuator’s output displacement can be adjusted by controlling the macro/micro coil current. Experimental results indicate that the macro-displacement can be up to 30 mm, and the response time is below 0.2 s. The micro-motion positioning accuracy can reach nanometer level, which has the advantages of simple structure and easy installation with coaxial, and has a broad application prospect in the field of precision manufacturing.
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Mingtao Zhu,Jun Yu,Min Zhao,Meijun Wang,Guoshun Yang 한국유전학회 2020 Genes & Genomics Vol.42 No.6
Background Grape is an economically valuable fruit around the world. However, some cultivars are prone to fruit cracking during ripening, leading to severe losses. Objective We aimed to find important metabolisms related to fruit cracking during ripening process. Methods RNA-Sequence and analysis was applied to the pericarp of cracking-susceptible ‘Xiang Fei’ at 1 (W1), 2 (W2) and 3 weeks (W3) after veraison on Illumina HiSeq xten; Results Compared with W1, the berry cracking rate increased significantly in W2 and W3. Through transcriptomic analysis, a total of 22,609 genes were expressed in the grape pericarp, among which 805 and 2758 genes were significantly differentially regulated in W1-vs.-W2 and W1-vs.-W3 comparison, respectively. Besides, 304 and 354 genes were up- and down-regulated in both comparisons. The significantly enriched GO terms of both W1–W2 and W1–W3 are related to cell wall and wax biosynthesis. And lipid metabolism, which are involved in the top 20 enriched KEGG pathways of both comparisons, was related to wax biosynthesis. Further, GO enrichment analysis of differentially expressed genes (DEGs) with same regulatory changes also indicated that the continuously up-regulated DEGs are significantly enriched in cell wall component biosynthesis and hydrolase. Conclusion These findings suggested that genes related to cell wall metabolism and cuticle biosynthesis may play important roles in regulating grape berry cracking. Our results provide a reference for further studies on the molecular mechanism underlying fruit cracking.
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