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RISS 인기검색어
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- 저자 : XuHan Chen (검색결과 3 건)
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Potential Mechanisms of Perillae folium Against COVID-19: A Network Pharmacology Approach
XuHan Chen,Xu Xu,Jia Lv,JinQin Huang,LingLing Lyu,Liping Liu 한국식품영양과학회 2023 Journal of medicinal food Vol.26 No.6
In China, Perillae folium is widely used to treat colds, especially in the early stages of cold; the effect of taking P. folium is readily noticeable at that time. The active compounds and targets of P. folium were screened from Traditional Chinese Medicine Systems Pharmacology, Chinese Pharmacopoeia, and UniProt. Targets related to the initiation and progression of 2019 Coronavirus Disease (COVID-19) were retrieved from Online Mendelian Inheritance in Man and GeneCards. The potential therapeutic targets of P. folium on COVID-19 were the cross targets between them. Enrichment analysis of Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were conducted by using the Database for Annotation, Visualization and Integrated Discovery website. Molecular docking between key compounds and core targets was performed with AutoDock. The effects of P. folium extract and rosmarinic acid on inflammatory cytokines were tested by a cellular inflammatory model. The “Perillae folium-compound-target-COVID-19” network contained 11 kinds of compounds and 33 matching targets. There were 261 items in the GO functions (P < .05) and 67 items linked to the KEGG signaling pathways (P < .05). Luteolin and rosmarinic acid were key compounds of P. folium. Their docking with the core targets mitogen-activated protein kinase 1 (MAPK1) and chemokine (C-C motif) ligand 2 (CCL2), respectively, showed that they had good affinity with each other. Cell experiments demonstrated that P. folium extract had inhibitory effects on interleukin-6 and tumor necrosis factor (TNF)-α in cells, and was better than rosmarinic acid. Luteolin, rosmarinic acid, and other individual active compounds in P. folium, which may participate in PI3K-Akt, TNF, Jak-STAT, COVID-19, and other multisignaling pathways through multiple targets such as MAPK1 and CCL2, and play a therapeutic role in COVID-19.
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Xu Han,Xianhao Wang,Chong Chen,Gong Li,Chang-hao Piao 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.6
The manual inspection of photovoltaic (PV) panels to meet the requirements of inspection work for large-scalePV power plants is challenging. We present a hot spot detection and positioning method to detect hot spots inbatches and locate their latitudes and longitudes. First, a network based on the YOLOv3 architecture wasutilized to identify hot spots. The innovation is to modify the RU_1 unit in the YOLOv3 model for hot spotdetection in the far field of view and add a neural network residual unit for fusion. In addition, because of themisidentification problem in the infrared images of the solar PV panels, the DeepLab v3+ model was adoptedto segment the PV panels to filter out the misidentification caused by bright spots on the ground. Finally, thelatitude and longitude of the hot spot are calculated according to the geometric positioning method utilizingknown information such as the drone's yaw angle, shooting height, and lens field-of-view. The experimentalresults indicate that the hot spot recognition rate accuracy is above 98%. When keeping the drone 25 m off theground, the hot spot positioning error is at the decimeter level.
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Xu Han,Huoyue Xiang,Xuli Chen,Yong-Le Li 한국풍공학회 2023 Wind and Structures, An International Journal (WAS Vol.36 No.1
To evaluate the wind shielding effect of bridge towers with multiple limbs on high-speed trains, a wind tunnel test was conducted to investigate the aerodynamic characteristics of vehicles traversing multi-limb towers, which represented a combination of the steady aerodynamic coefficient of the vehicle-bridge system and wind environment around the tower. Subsequently, the analysis model of wind-vehicle-bridge (WVB) system considering the additional moments caused by lift and drag forces under nonuniform wind was proposed, and the reliability and accuracy of the proposed model of WVB system were verified using another model. Finally, the factors influencing the wind shielding effect of multi-limb towers were analyzed. The results indicate that the wind speed distributions along the span exhibit two sudden changes, and the wind speed generally decreases with increasing wind direction angle. The pitching and yawing accelerations of vehicles under nonuniform wind loads significantly increase due to the additional pitching and yawing moments. The sudden change values of the lateral and yawing accelerations caused by the wind shielding effect of multi-limb tower are 0.43 m/s2 and 0.11 rad/s2 within 0.4 s, respectively. The results indicate that the wind shielding effect of a multi-limb tower is the controlling factor in WVB systems.
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