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Institution

Anhui Normal University

EducationWuhu, China
About: Anhui Normal University is a education organization based out in Wuhu, China. It is known for research contribution in the topics: Catalysis & Population. The organization has 7955 authors who have published 7309 publications receiving 117443 citations.


Papers
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Journal ArticleDOI
TL;DR: Analytical formulas for the average intensity and the beam width of the elegant Laguerre-Gaussian beam in non-Kolmogorov turbulence have been derived based on the extended Huygens-Fresnel principle and reveal that the ELGB converts to Gaussian form quicker for smaller values of beam order and for smaller wavelengths.
Abstract: The analytical formulas for the average intensity and the beam width of the elegant Laguerre-Gaussian beam (ELGB) in non-Kolmogorov turbulence have been derived based on the extended Huygens-Fresnel principle. Numerical results reveal that the ELGB converts to Gaussian form quicker for smaller values of beam order and for smaller wavelengths. The root-mean-square (rms) beam width of ELGB increases markedly with the propagation distance for higher beam order, smaller waist width, and larger wavelength. Furthermore, discussions of the influence of ELGB by the non-Kolmogorov turbulence reveal that the normalized intensity distribution of ELGB converts into Gaussian form more quickly and that the rms beam width of ELGB increases more rapidly in non-Kolmogorov turbulence with smaller parameter α, larger outer scale, smaller inner scale and larger structure constant.

46 citations

Journal ArticleDOI
Long Kuai1, Baoyou Geng1, Shaozhen Wang1, Yanyan Zhao1, Yinchan Luo1, Han Jiang1 
TL;DR: In this paper, a facile one-pot, seedless, water-based approach that incorporates polyvinyl pyrrolidone and ammonia was used to generate polyhedral noble metal nanostructures for fuel cells.
Abstract: Much effort has gone into generating polyhedral noble metal nanostructures because of their superior electrocatalytic activities for fuel cells. Herein, we report uniform, high-yield icosahedral silver and gold nanoparticles by using a facile one-pot, seedless, water-based approach that incorporates polyvinyl pyrrolidone and ammonia. Electrocatalysis of the oxygen-reduction reaction was carried out in alkaline media to evaluate the performance of the icosahedral nanoparticles. They showed excellent stability and much higher electrocatalytic activity than the spherelike nanoparticles; they display a positive shift in reduction peak potential for O2 of 0.14 and 0.05 V, while the reduction peak currents of the silver and gold icosahedra are 1.5- and 1.6-fold, respectively, better than the spherelike nanoparticles. More importantly, the icosahedral nanoparticles display electrocatalytic activities comparable with commercial Pt/C electrocatalysts. The facile preparation of icosahedral silver and gold nanoparticles and their superior performance in the oxygen reduction reaction render them attractive replacements for Pt as cathode electrocatalysts in alkaline fuel cells.

46 citations

Journal ArticleDOI
TL;DR: This paper focuses on the streaming categorical information and proposes a novel anonymization technique for providing a strong privacy protection to safeguard against privacy disclosure and information tampering, which utilizes an innovative two-phase anonymization approach.
Abstract: Protecting users’ privacy when transmitting a large amount of data over the Internet is becoming increasingly important nowadays. In this paper, we focus on the streaming categorical information and propose a novel anonymization technique for providing a strong privacy protection to safeguard against privacy disclosure and information tampering. Our technique utilizes an innovative two-phase anonymization approach which is very easy to implement, highly efficient in terms of speed and communication and is robust against possible tampering from adversaries. Extensive experimental evaluation that is conducted demonstrates that our technique is very efficient and more robust than the existing method.

45 citations

Journal ArticleDOI
TL;DR: A novel terminal protection based label-free and "turn-on" fluorescent sensor for detection of folate receptors (FRs) and HeLa cells is developed by fluorescence resonance energy transfer (FRET) between single-walled carbon nanotubes and silver nanoclusters.

45 citations

Journal ArticleDOI
TL;DR: In this paper, an electroplating wastewater treatment based on biosorption followed by flocculation/precipitation is proposed, which is an eco-friendly process and implies the reuse of a product at the end of its useful life rather than being disposed in landfill.
Abstract: In this work, an electroplating wastewater treatment based on biosorption followed by flocculation/precipitation is proposed. Biosorption was carried out by using exhausted coffee which has proved to be an efficient low cost sorbent for metal ions and reducing agent of hexavalent chromium in our previous works. After biosorption Cr(VI) concentration in the effluent met the wastewater treatment plant discharge regulation limit for hexavalent chromium (0.5 mg L −1 ). The addition of a suitable concentration of coagulant/flocculant resulted in the precipitation of residual trivalent chromium and other metal ions. The high correlation coefficients between Cr(VI) and Cr(III) and conductivity and pH values measured during the biosorption process highlighted the possible use of these two parameters to monitor the process. Indeed, these two parameters measured online resulted to be effective indicators of both process development and the end point of the process. The merits of the proposed treatment which are considered over other techniques are much lower electrical energy consumption; less amount of chemicals addition and the possibility of chromium recovery from the sorbent at a quite high level of purity. Moreover, biosorption is an eco-friendly process and implies the reuse of a product at the end of its useful life rather than being disposed in landfill.

45 citations


Authors

Showing all 8016 results

NameH-indexPapersCitations
Zhen Li127171271351
Tao Zhang123277283866
Liang Cheng116177965520
Xiaodong Li104130049024
Peng Chen10391843415
Jun-Jie Zhu10375441655
Paul K.S. Lam8748525614
Hao Yu8198127765
Fei Xu7174324009
Minghong Wu6949823547
Peng Li6682517800
Yongming Luo6339912495
Willem H. Koppenol5919221818
Yadong Li579617224
Yong Wang5254311515
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202326
2022117
2021832
2020733
2019594
2018490