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Your search keyword '"Mao, Meixin"' showing total 7 results
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7 results on '"Mao, Meixin"'

1. Mapping the Landscapes, Hotspots and Trends of the Social Network Analysis Research from 1975 to 2017

Author

Zeng, Li, Li, Zili, Zhao, Zhao, Mao, Meixin, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Tan, Ying, editor, Shi, Yuhui, editor, and Tang, Qirong, editor

Published
2018
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2. Bibliometric Analysis of the Deep Learning Research Status with the Data from Web of Science

Author

Mao, Meixin, Li, Zili, Zhao, Zhao, Zeng, Li, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Tan, Ying, editor, Shi, Yuhui, editor, and Tang, Qirong, editor

Published
2018
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4. Nanoparticles Containing Biocompatible Radicals Based on 1,2,4-Benzotriazinyl for Reactive Oxygen Species Scavenging in Living Cells.

Author

Qu, Le, Chen, Hanjiao, Chen, Hongyu, Shi, Chengjia, Li, Huaqing, Lian, Wenru, Mao, Meixin, Hou, Yan, Ai, Qi, Yang, Huige, Yan, Xinhao, Liu, Xuying, and Hu, Xiaoguang

Abstract

We report the first demonstration using π-conjugated radicals for reactive oxygen species (ROS) scavenging. The ester-derived 1,2,4-benzotriazinyl monoradical VER and its carboxyl counterpart VAR exhibit typical antiferromagnetic behavior with a thermally populated spin-triplet state. Upon self-assembly with DSPE-PEG1000, VER formed ∼25 nm size nanoparticles (NPs) with good water dispersibility and stability, no obvious aggregation and degradation were observed after storing at ambient environment for 14 days. In contrast, VAR NPs were unstable and visible aggregates appeared on the seventh day. These radical NPs show good biocompatibility, there was almost no decrease in the cell viability after being incubated with either NPs even at a concentration of 100 μg/mL. Importantly, excessive ROS of the studied model RAW264.7 cells was scavenged to normal concentration when incubated with VER NPs, whereas ROS of VAR NPs treated model cells was almost not changed or even increased. [ABSTRACT FROM AUTHOR]

Published
2023
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5. Bibliometric Analysis of the Semantic Mining Research Status with the Data from Web of Science

Author

Zeng Li, Yang Zhao, Zhao Zhao, Mao Meixin, and Zili Li

Subjects
World Wide Web, Bibliometric analysis, Web of science, Computer science, Semantic mining
Abstract

By using the 2460 papers obtained from the Web of Science database from 1991 to 2018 as the research sample, this paper demonstrates a comprehensive bibliometric analysis of the research status, trends and hotspots in the domain of Semantic Mining. The results indicate that the current global semantic mining research is of great value; Knowledge is mainly distributed in computer science, engineering and linguistics; the international academic communications in semantic mining field are pretty prosperous, which are concentrated on three major region: East Asia, North America and West Europe. In addition, the research hotspots be shown in keywords co-occurring mapping is the research of technology which is represented by text mining, the research of theory which is represented by ontology and semantic network, and the research of application which is represented by knowledge discovery and information extraction. And the current research fronts can be categorized into two layers: the model research by using deep learning technology for semantic mining, the application research such as applying semantic mining to social media. Finally, we discussed to use the mathematical models of logistic curve to predict the number of papers in the future which told us the study is still in the growth stage at present and we need to grasp the golden age of the next five years.

Published
2018

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