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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: In this paper, N-methylpiperazine-templated zeolite precursors were used to obtain tunable photoluminescence according to the concentration and pH value of aqueous dispersions of the CNDs.
Abstract: Hydrophilic N-doped carbogenic nanodots (denoted as CNDs) have been prepared from a N-methylpiperazine-templated zeolite precursor by calcination and NaOH treatment. The isolated CNDs exhibit tunable photoluminescence according to the concentration and pH value of aqueous dispersions of the CNDs. Fine-tuning of the fluorescence emission wavelength across the entire visible spectrum can be easily achieved by varying the concentration of the CND dispersions. Meanwhile, both the emission wavelength and intensity of the photoluminescence can be tuned by controlling the pH value of the CND dispersion. The pyrolysis of organic templates confined in nanoporous zeolites represents a new approach to controlling the optical properties of CNDs, which may open more opportunities in applications such as multimodal sensing and full-color displays.

92 citations

Journal ArticleDOI
TL;DR: 3D-BER is a feasible and effective technology for the denitrification of WWTP effluent with poor organic carbon source and the extension of hydraulic retention time (HRT) could enhance nitrate removal, but too long HRT was not necessary.

92 citations

Journal ArticleDOI
TL;DR: The property of asphalt mastics consisting of asphalt binder and mineral fillers significantly affects the performance of asphalt mixture and also results in several forms of distresses in pavement as discussed by the authors.
Abstract: The property of asphalt mastics consisting of asphalt binder and mineral fillers significantly affects the performance of asphalt mixture and also results in several forms of distresses in pavement...

91 citations

Journal ArticleDOI
TL;DR: Nasopharyngeal carcinoma resistance alleles carrying the strongly associated amino acid variants implicate specific class I peptide recognition motifs in HLA-A and -B peptide binding groove as conferring strong genetic influence on the development of NPC in China.
Abstract: Nasopharyngeal carcinoma (NPC) is an epithelial malignancy facilitated by Epstein-Barr Virus infection. Here we resolve the major genetic influences for NPC incidence using a genome-wide association study (GWAS), independent cohort replication, and high-resolution molecular HLA class I gene typing including 4,055 study participants from the Guangxi Zhuang Autonomous Region and Guangdong province of southern China. We detect and replicate strong association signals involving SNPs, HLA alleles, and amino acid (aa) variants across the major histocompatibility complex-HLA-A, HLA -B, and HLA -C class I genes (P(HLA-A-aa-site-62) = 7.4 × 10(-29); P (HLA-B-aa-site-116) = 6.5 × 10(-19); P (HLA-C-aa-site-156) = 6.8 × 10(-8) respectively). Over 250 NPC-HLA associated variants within HLA were analyzed in concert to resolve separate and largely independent HLA-A, -B, and -C gene influences. Multivariate logistical regression analysis collapsed significant associations in adjacent genes spanning 500 kb (OR2H1, GABBR1, HLA-F, and HCG9) as proxies for peptide binding motifs carried by HLA- A*11:01. A similar analysis resolved an independent association signal driven by HLA-B*13:01, B*38:02, and B*55:02 alleles together. NPC resistance alleles carrying the strongly associated amino acid variants implicate specific class I peptide recognition motifs in HLA-A and -B peptide binding groove as conferring strong genetic influence on the development of NPC in China.

91 citations

Journal ArticleDOI
TL;DR: Three-dimension ordered macroporous bismuth vanadates with a monoclinic crystal structure and high surface area, prepared using ascorbic acid (AA) or citric acid (CA) assisted poly(methyl methacrylate) (PMMA)-templating strategy, are sure that the 3D-OM material is a promising photocatalyst for the removal of organics from wastewater under visible light illumination.
Abstract: Three-dimension ordered macroporous (3D-OM) bismuth vanadates with a monoclinic crystal structure and high surface area (18–24 m2 g−1) have been prepared using ascorbic acid (AA)- or citric acid (CA)-assisted poly(methyl methacrylate) (PMMA)-templating strategy with bismuth nitrate and ammonium metavanadate as the metal sources, HNO3 as the pH adjuster and ethylene glycol and methanol as the solvent The materials were characterized by a number of analytical techniques The photocatalytic performance of the porous BiVO4 samples was evaluated for the degradation of phenol in the presence of a small amount of H2O2 under visible light illumination The effects of the initial phenol concentration and the H2O2 amount on the photocatalytic activity of the photocatalyst were examined It is shown that the chelating agent, AA or CA, and the amount in which it is added had a significant impact on the quality of the 3D-OM structure, with a “(Bi + V):chelating agent” molar ratio of 2:1 being the most appropriate Among the as-prepared BiVO4 samples, the one with a surface area of ca 24 m2 g−1 showed the best visible light-driven photocatalytic performance for phenol degradation (phenol conversion = ca 94% at phenol concentration = 01 mmol L−1 and in the presence of 06 mL H2O2) A higher phenol conversion could be achieved within the same reaction time if the phenol concentration in the aqueous solution was lowered, but an excess amount of H2O2 was not a favorable factor for the enhancement of the catalytic activity It is concluded that the excellent photocatalytic activity of 3D-OM BiVO4 is due to the high quality 3D-OM structured BiVO4 that has a high surface area and surface oxygen vacancy density We are sure that the 3D-OM material is a promising photocatalyst for the removal of organics from wastewater under visible light illumination

91 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