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Institution

University of Macau

EducationMacao, Macau, China
About: University of Macau is a education organization based out in Macao, Macau, China. It is known for research contribution in the topics: Computer science & Population. The organization has 6636 authors who have published 18324 publications receiving 327384 citations. The organization is also known as: UM & UMAC.


Papers
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Journal ArticleDOI
TL;DR: Optical imaging possesses a number of notable advantages that renders it as an attractive diagnostic modality, and transition metal complexes have attracted recent attention as alternatives to conventional dyes due to their advantages of large Stokes shifts, long lifetimes, and ease of structural modifications.

97 citations

Journal ArticleDOI
13 May 2021-Chem
TL;DR: In this article, a hydrogen-pyrolysis etching strategy was developed to precisely manipulate the uncoordinated N dopants in the Fe-N-C catalyst, which preferentially eliminate pyridinic and pyrrolic N atoms while leaving graphitic N. The resulting catalyst gave a CO faradaic efficiency (FECO) above 90% over a broad window from −0.3 to − 0.8 V.

97 citations

Journal ArticleDOI
Chao Sun1, Yu Zhu1, Jian Guo, Yamei Zhang1, Guoxing Sun2 
TL;DR: In this article, the effects of the foaming agent type on the properties of foamed concrete, synthetic surfactants (SS), plant surfactant (PS), and animal glue/blood-based foaming agents (AS) were investigated.

97 citations

Journal ArticleDOI
TL;DR: A unified framework for nonuniform embedding, dynamical system revealing, and time series prediction, termed as Structured Manifold Broad Learning System (SM-BLS), which provides a homogeneous way to recover the chaotic attractor from multivariate and heterogeneous time series.
Abstract: High-dimensional and large-scale time series processing has aroused considerable research interests during decades. It is difficult for traditional methods to reveal the evolution state in dynamical systems and discover the relationship among variables automatically. In this paper, we propose a unified framework for nonuniform embedding, dynamical system revealing, and time series prediction, termed as Structured Manifold Broad Learning System (SM-BLS). The structured manifold learning is introduced for nonuniform embedding and unsupervised manifold learning simultaneously. Graph embedding and feature selection are both considered to depict the intrinsic structure connections between chaotic time series and its low-dimensional manifold. Compared with traditional methods, the proposed framework could discover potential deterministic evolution information of dynamical systems and make the modeling more interpretable. It provides us a homogeneous way to recover the chaotic attractor from multivariate and heterogeneous time series. Simulation analysis and results show that SM-BLS has advantages in dynamic discovery and feature extraction of large-scale chaotic time series prediction.

96 citations

Journal ArticleDOI
TL;DR: Though a panel of natural products and herb extracts demonstrate protective effects on DOX-induced cardiotoxicity in cells and animal models, their therapeutic potentials for clinical needs further investigation.

96 citations


Authors

Showing all 6766 results

NameH-indexPapersCitations
Henry T. Lynch13392586270
Chu-Xia Deng12544457000
H. Vincent Poor109211667723
Peng Chen10391843415
George F. Gao10279382219
MengChu Zhou96112436969
Gang Li9348668181
Rob Law8171431002
Zongjin Li8063022103
Han-Ming Shen8023727410
Heng Li7974523385
Lionel M. Ni7546628770
C. L. Philip Chen7448220223
Chun-Su Yuan7239721089
Joao P. Hespanha7241839004
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202345
2022307
20212,579
20202,357
20192,075
20181,714