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204 results on '"Zhang, Caili"'

8. Effects of baicalin on expression of mucin 5AC and cystic fibrosis transmembrane conductance regulator in airway epithelium through NF-κB signaling pathway

Author

ZHANG Yan, ZHANG Caili, LIU Yan, CHEN Yulong, PENG, SANG Yazhou, and WU Yaosong

Subjects
baicalin, nf-κb, muc5ac, cystic fibrosis transmembrane conductance regulator, airway mucus, Medicine (General), R5-920
Abstract

Objective To investigate the mechanism of baicalin in improving pathological airway mucus by regulating the expression of airway epithelial mucus regulators mucin 5AC (MUC5AC) and cystic fibrosis transmembrane conductance regulator (CFTR) through nuclear factor κB (NF-κB) signaling pathway. Methods MTT assay was used to detect the effects of different concentrations of baicalin on the viability of human lung cancer H292 cells in order to determine the proper dose of baicalin for subsequent experiments. After H292 cells were induced by IL-1β to establish in vitro inflammatory cell model of mucus hypersecretion, the cells were divided into blank control group, model group, NF-κB inhibitor group (PDTC group, 100 μmol/L) and baicalin group (200 μg/mL). After 24 h of drug intervention, the contents of MUC5AC, IL-8, and TNF-α in the culture supernatant and the levels of MUC5AC and CFTR in the cytoplasm of each group were detected by ELISA. Real-time fluorescent quantitative PCR was adopted to detect the mRNA expression of MUC5AC and CFTR. Western blotting was performed to test the expression of p65 and IκB (inhibitor of NF-κB). Results The results of MTT assay showed that 200 μg/mL was a safe concentration of baicalin for subsequent experiments, with cell viability larger than 80%. As compared with the blank control group, the protein expression of MUC5AC, IL-8, TNF-α, p65 and the mRNA level of MUC5AC in culture supernatant and cytoplasm were all significantly increased in the model group (P < 0.05), while the expression of IκB and CFTR proteins as well as the CFTR mRNA level were remarkably decreased (P < 0.05). When compared with the model group, the PDTC group presented lower level of MUC5AC secretion, declined protein levels of IL-8, TNF-α and p65, as well as MUC5AC mRNA in the culture supernatant (P < 0.05), while higher protein expression of MUC5AC, CFTR and IκB in the cytoplasm, along with elevated mRNA level of CFTR (P < 0.05). In terms of the baicalin group, the secretion levels of MUC5AC, IL-8 and TNF-α were greatly diminished in culture supernatant (P < 0.01) as compared with the model group, whereas the expression of IκB as well as the protein and mRNA levels of CFTR notably improved (P < 0.01), and there was no significant difference in MUC5AC mRNA expression. Conclusion Baicalin reduces MUC5AC secretion and increases CFTR expression by inhibiting the activity of NF-κB, and thus attenuates airway inflammation.

Published
2022
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31. Construction of navigable road network based on taxi trajectories

Author

ZHANG Caili, XIANG Longgang, LI Yali, and WANG Wenlong

Subjects
construction of navigable road network, road intersection recognition, Mathematical geography. Cartography, GA1-1776, taxi trajectory
Abstract

Taxi trajectories not only reflect the static geometrical and topological structures of urban road network, but also carry dynamic navigation information such as turning relationship. Considering that the location, topological connection and turning rules of road intersection are the basis and key to the construction of navigable road network, this paper made full use of the spatial distribution and dynamic connection information of taxi trajectories and proposed a navigable road network generation method guided by intersection information, which adopts the research idea of "intersection location—road segment geometry—navigation attribute". Firstly, an integrated intersection recognition technology considering multi-mode features was designed, and then the random forest algorithm was introduced to explore a zero-label supervised anti-counterfeiting strategy for eliminating false intersections; on this basis, a multi-stage road segment generation method based on Delaunay triangulation network was proposed; finally, the turning relationship and one/two-way information of road segment, which are closely related to intersections, were further captured so as to derive a navigable road network. Compared with other methods, the proposed method achieves higher completeness and accuracy for the extraction of navigable road network information such as road intersection, road segment and turning relationship.

Published
2021

32. Road intersection recognition based on a multi-level fusion of vehicle trajectory and remote sensing image

Author

LI Yali, XIANG Longgang, ZHANG Caili, WU Huayi, and GONG Jianya

Subjects
vehicles trajectory, co-training, road intersection, remote sensing image, Mathematical geography. Cartography, automatic activation, GA1-1776
Abstract

Road intersections are important components of a road network, which are not only numerous and diverse in shape, but also complex in structure and different in size. It is difficult to recognize comprehensive and accurate road junctions based on single data source, as its limited describe information. To this end, this paper designs a multiple integration method to identify road intersections from vehicle trajectories and remote sensing images. Firstly, based on the unsupervised idea, a method combining morphological processing, density peak clustering and tensor voting is proposed to extract the seed intersections, which is regarded as a small sample set. Based on it two intersection classifiers based on deep convolution network and oriented to vehicle trajectories and remote sensing images are constructed by using collaborative training mechanism, and finally, the advantages of the two models are combined to form an integrated classification model of road intersections. In this paper, a semi supervised intersection extraction technology is proposed by fusing the complementary description features of vehicle trajectories and remote sensing images on multiple levels, which can effectively identify complex and diverse road intersections without manual labeling. Experiments based on Wuhan taxi trajectories and remote sensing images show that the accuracy of this method is more than 93% and the recall rate is 87% without manually labeled samples.

Published
2021

47. Zero waste approach towards a sustainable waste management

Author

Awasthi, Abhishek Kumar, primary, Cheela, V.R. Sankar, additional, D’Adamo, Idiano, additional, Iacovidou, Eleni, additional, Islam, M. Rafizul, additional, Johnson, Michael, additional, Miller, T. Reed, additional, Parajuly, Keshav, additional, Parchomenko, Alexej, additional, Radhakrishan, Loganath, additional, Zhao, Min, additional, Zhang, Caili, additional, and Li, Jinhui, additional

Published
2021
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50. Strategies of Energy Efficiency Design in Traditional Kangbaiwan Mansion in China

Author

Song Xiaoqing and Zhang Caili

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

The building sector is one of the highest energy consuming sectors in the world as well as in China, it is urgent to seek an energy efficiency way of sustainable architecture development. From the perspective of tradition, this paper focus on strategies of energy efficiency design that contained in excellent vernacular dwellings. On the basis of analyzing an example of Kangbaiwan Mansion, it illustrates the advantage of environment ecosystem, and summarizes the physical and cultural characteristic of its buildings, especially the climate-adapting overall arrangement and sustainable strategies of natural ventilation and passive solar gain, which can be a fertile source of modern energy efficiency architecture design as well as a proper way of inheriting the outstanding traditional culture.

Published
2016
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