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Institution

Beijing University of Technology

EducationBeijing, Beijing, China
About: Beijing University of Technology is a education organization based out in Beijing, Beijing, China. It is known for research contribution in the topics: Microstructure & Laser. The organization has 31929 authors who have published 31987 publications receiving 352112 citations. The organization is also known as: Běijīng Gōngyè Dàxué & Beijing Polytechnic University.


Papers
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Journal ArticleDOI
TL;DR: It is proposed that PAIL is a novel predictor for identification of protein acetylation sites and may serve as an important tool to study the function of proteinacetylation.

106 citations

Journal ArticleDOI
TL;DR: Empirical results demonstrate that the proposed DFN-AI models perform significantly better than their corresponding single AI models in both the direction and level of prediction.

106 citations

Journal ArticleDOI
TL;DR: In this article, the authors applied the Mesoscale Modeling System Generation 5 (MM5) and the Models-3/Community Multiscale Air Quality (CMAQ) modeling system to East Asia and North China at 36- and 12-km horizontal grid resolutions, and the source apportionment of PM2.5 in the three top polluted cities in Hebei, i.e., Shijiazhuang, Xingtai, and Handan, is performed using the Brute-Force method.

106 citations

Journal ArticleDOI
TL;DR: An FMT reconstruction algorithm based on the iterated shrinkage method that can obtain more accurate results, even with very limited measurement data is proposed.
Abstract: Through the reconstruction of the fluorescent probe distributions, fluorescence molecular tomography (FMT) can three-dimensionally resolve the molecular processes in small animals in vivo. In this paper, we propose an FMT reconstruction algorithm based on the iterated shrinkage method. By incorporating a surrogate function, the original optimization problem can be decoupled, which enables us to use the general sparsity regularization. Due to the sparsity characteristic of the fluorescent sources, the performance of this method can be greatly enhanced, which leads to a fast reconstruction algorithm. Numerical simulations and physical experiments were conducted. Compared to Newton method with Tikhonov regularization, the iterated shrinkage based algorithm can obtain more accurate results, even with very limited measurement data.

105 citations

Journal ArticleDOI
TL;DR: In this paper, the mechanisms of sulfur dioxide poisoning on Mn/TiO2 and Mn-Ce/NiO2 catalysts are studied and poisoning resistance effect of cerium is revealed.
Abstract: The mechanisms of sulfur dioxide poisoning on Mn/TiO2 and Mn-Ce/TiO2 catalysts are studied and poisoning resistance effect of cerium is revealed Both two kinds of catalysts were deactivated to reduce NOx removal in the presence of SO2, however, the sulfur resistance performance of the Ce doping catalysts was obviously improved From the result of DRIFT and DFT, SO2 can first adsorb on the manganese-terminal (Lewis acid sites) to form sulfates, which inhibit the adsorption of NH3 in the SCR reaction Deactivation of Bronsted acid sites was due to the formation of bisulfite, which can react with NH4+ form NH4HSO4 For the Mn-Ce/TiO2 catalysts, SO2 preferentially adsorbed on Ce atom as sulfate species, alleviating the sulfation of the main active sites (Lewis acid sites and Broosted acid site on MnOx) under the effect of SO2 Furthermore, cerium sulfate can produce new Bronsted acid site and contribute to the low-temperature SCR processes

105 citations


Authors

Showing all 32228 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Pulickel M. Ajayan1761223136241
James M. Tour14385991364
Dacheng Tao133136268263
Lei Zhang130231286950
Hong-Cai Zhou11448966320
Xiaodong Li104130049024
Lin Li104202761709
Ming Li103166962672
Wenjun Zhang9697638530
Lianzhou Wang9559631438
Miroslav Krstic9595542886
Zhiguo Yuan9363328645
Xiang Gao92135942047
Xiao-yan Li8552831861
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023124
2022611
20213,573
20203,341
20193,075
20182,523