Institution
Henan University of Technology
Education•Zhengzhou, China•
About: Henan University of Technology is a education organization based out in Zhengzhou, China. It is known for research contribution in the topics: Catalysis & Starch. The organization has 7648 authors who have published 6503 publications receiving 73067 citations. The organization is also known as: Hénán Gōngyè Dàxué.
Papers published on a yearly basis
Papers
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TL;DR: The PANI nanofibers have diameters in the range of 20-50 nm and lengths up to several micrometers and properties of the as-prepared products were characterized by thermogravimetric analysis, Fourier transform infrared spectroscopy and ultraviolet-visible absorption spectrum as mentioned in this paper.
Abstract: Polyaniline (PANI) nanofibers were synthesized in the presence of Polyethylene glycol. The morphologies of polyaniline nanostructures were characterized by scanning electron microscopy and transmission electron microscopy. The PANI nanofibers have diameters in the range of 20–50 nm and lengths up to several micrometers. The properties of the as-prepared products were characterized by thermogravimetric analysis, Fourier-transform infrared spectroscopy and ultraviolet-visible absorption spectrum. CV experiment shows the obtained PANI nanofibers has good electrochemical activity.
28 citations
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TL;DR: This method has been successfully applied to determine ENR in spiked samples with the recovery of 103%-96%.
28 citations
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TL;DR: In this paper, the enzymatic glycerolysis of castor oil (CO) in solvent-free system was investigated and three commercial immobilized lipases (Novozym 435, Lipozyme RM IM and Lipo-zyme TL IM) were compared.
28 citations
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TL;DR: Experimental results show that the proposed heuristic algorithm, called MC-aware VM consolidation (MVC) algorithm, can effectively decrease the migration cost and, at the same time guarantee the energy consumption within a certain low level.
Abstract: By live migration technology, multiple virtual machines (VMs) can be consolidated into a fewer physical servers and the idle ones can be shut down or switched to low-power mode, thus reducing the energy consumption of cloud data centers. However, live migration can result in performance degradation of migrated VMs, or even interrupting their services. At the same time, live migration can also aggravate the overheads of data transmissions and produce additional energy consumption in cloud data centers. All these negative influences belong to migration cost (MC) caused by VM migration, which becomes an important cost factor that can’t be ignored. Otherwise, another important concern, remaining runtime of the migrated VM, also has influence on the efficiency of VM consolidation, which is not well addressed as well. This paper investigates MC-aware VM consolidation problem and formulates the problem as a multi-constraint optimization model by considering migration cost and remaining runtime of VMs. Based on the proposed model, a heuristic algorithm, called MC-aware VM consolidation (MVC) algorithm, is developed. Finally, based on a real-world cloud trace, we conduct extensive experimental studies to verify the validity of the proposed model and algorithm. Experimental results show that, compared with some popular algorithms, MVC algorithm can effectively decrease the migration cost and, at the same time guarantee the energy consumption within a certain low level.
28 citations
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TL;DR: In this paper, a solid-state method under low temperature was adopted to prepare graphitic carbon nitride quantum dots (g-CNQDs), and a strong cathodic ECL signal was observed in phosphate buffer.
Abstract: Electrogenerated chemiluminescence (ECL) of semiconductor quantum dots (QDs) is considered as a powerful technique in the fabrication of biosensor, however, the inherent toxicity of the heavy metal ion containing in QDs limits their further applications. Thus, searching for environment-friendly luminescent nanomaterials with high electrochemiluminescence (ECL) efficiency is an urgent goal. In this work, a solid-state method under low temperature was adopted to prepare graphitic carbon nitride quantum dots (g-CNQDs). By using coreactant K2S2O8, a strong cathodic ECL signal of g-CNQDs could be observed in phosphate buffer. A novel ECL resonance energy transfer procedure was constructed between g-CNQDs (emitter) and gold nanoparticles (acceptor). A signal probe was formed by connecting gold nanoparticles at the hairpin DNA (Hai-DNA) terminal. When the signal probe was anchored on g-CNQDs, ECL resonance energy transfer occurred due to the ECL quenching of gold nanoparticles to g-CNQDs. This phenomenon decreased the ECL signal. In the presence of target DNA (T-DNA), the looped structure of Hai-DNA could be destroyed by T-DNA, and gold nanoparticles were separated from g-CNQDs. Accordingly, the ECL resonance energy transfer procedure was hindered, and the ECL signal was recovered again. The ECL intensities exhibited linear correlation with the logarithm of T-DNA concentration from 0.02 fM to 0.1 pM, and the limit of detection was 0.01 fM (3σ). With the developed ECL resonance energy transfer system, good selectivity and high sensitivity were achieved in T-DNA detection.
28 citations
Authors
Showing all 7708 results
Name | H-index | Papers | Citations |
---|---|---|---|
Xin Li | 114 | 2778 | 71389 |
Yang Liu | 82 | 1695 | 33657 |
Qing-Hua Qin | 52 | 505 | 9939 |
Dong-Qing Wei | 48 | 418 | 7839 |
Feng Qi | 47 | 581 | 10687 |
Jian Jian Li | 46 | 119 | 7577 |
Hongshun Yang | 46 | 165 | 5539 |
Shuangqiang Chen | 41 | 73 | 5539 |
Fei Xu | 40 | 314 | 6102 |
Dennis R. Salahub | 39 | 132 | 9259 |
Lingbo Qu | 37 | 291 | 4894 |
Yuting Wang | 37 | 80 | 11820 |
Zhiyong Jiang | 36 | 135 | 3559 |
Baoping Tang | 31 | 83 | 2455 |
Jinliang Liu | 30 | 107 | 2317 |