Institution
Henan Normal University
Education•Xinxiang, China•
About: Henan Normal University is a education organization based out in Xinxiang, China. It is known for research contribution in the topics: Catalysis & Ionic liquid. The organization has 10863 authors who have published 11077 publications receiving 166773 citations.
Topics: Catalysis, Ionic liquid, Adsorption, Photocatalysis, Graphene
Papers published on a yearly basis
Papers
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TL;DR: A novel neighborhood rough sets and entropy measure-based gene selection with Fisher score for tumor classification is proposed, which has the ability of dealing with real-value data whilst maintaining the original gene classification information.
Abstract: Tumor classification is one of the most vital technologies for cancer diagnosis. Due to the high dimensionality, gene selection (finding a small, closely related gene set to accurately classify tumor) is an important step for improving gene expression data classification performance. Traditional rough set model as a classical attribute reduction method deals with discrete data only. As for the gene expression data containing real-value or noisy data, they are usually employed by a discrete preprocessing, which may result in poor classification accuracy. In this paper, a novel neighborhood rough sets and entropy measure-based gene selection with Fisher score for tumor classification is proposed, which has the ability of dealing with real-value data whilst maintaining the original gene classification information. First, the Fisher score method is employed to eliminate irrelevant genes to significantly reduce computation complexity. Next, some neighborhood entropy-based uncertainty measures are investigated for handling the uncertainty and noisy of gene expression data. Moreover, some of their properties are derived and the relationships among these measures are established. Finally, a joint neighborhood entropy-based gene selection algorithm with the Fisher score is presented to improve the classification performance of gene expression data. The experimental results under an instance and several public gene expression data sets prove that the proposed method is very effective for selecting the most relevant genes with high classification accuracy.
78 citations
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TL;DR: In this paper, the authors developed a new approach for improving SO2 absorption by novel acylamido-based anion-functionalized ionic liquids (ILs) and showed that these ILs strongly interacted with SO2, resulting in very high SO2 capacity up to ∼4.5 mol SO2 per mole of IL.
Abstract: Acid gases such as SO2 can be absorbed by ionic liquids (ILs) because of their unique properties. In this work, we developed a new approach for improving SO2 absorption by novel acylamido-based anion-functionalized ILs. Several kinds of such ILs with different structures of acylamido group (anionic acylamide) were designed, prepared, and used for efficient capture of SO2. It was shown that these acylamido-based ILs strongly interacted with SO2, resulting in a very high SO2 capacity up to ∼4.5 mol SO2 per mole of IL. The interactions between acylamido-based ILs and SO2 were investigated by FT-IR, NMR, and quantum chemical calculations. It was found that the dramatic enhancement of SO2 absorption capacity was originated from the multiple-site interactions such as N···S and C═O···S interactions between the anion and SO2. Furthermore, the captured SO2 was easy to release by heating or bubbling N2 through the SO2-saturated ILs. This novel strategy provides an excellent alternative to current SO2 capture techno...
78 citations
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TL;DR: In this paper, the hybridization strategies of metal phosphides with different carbonaceous species are specifically highlighted in this review, followed by the illustration of how a robust understanding of these carbon matrixes within composites provides fundamental insights into the electronic conductivity, cycling durability, and rate capacity in metal phosphide electrodes.
Abstract: Advanced electrode materials embrace the key to the fundamental progress in rechargeable ion battery systems, which are essential to meet the finite nature of fossil fuels and the growing energy demands for clean and renewable energy. Metal phosphides in particular offer opportunities in rechargeable ion batteries owing to the extraordinarily high theoretical capacity and suitable redox potential. Notwithstanding these advantages, metal phosphides suffer from drastic volume variation during the electrochemical cycling process, resulting in relatively low capacity retention. Constructing metal phosphide–carbon heterostructures is an engrossing approach, which is because nanocarbon possesses bifunctional features that afford an electronic pathway and alleviate large volume expansion. Thus, the hybridization strategies of metal phosphides with different carbonaceous species are specifically highlighted in this review, followed by the illustration of how a robust understanding of these carbon matrixes within composites provides fundamental insights into the electronic conductivity, cycling durability, and rate capacity in metal phosphide electrodes. Meanwhile, the systematic discussion of the Li+/Na+/K+ ion storage mechanism in metal phosphides has also been expressly represented. Based on the insights, we outline the critical issues and challenges of metal phosphide/carbon heterostructures that need to be addressed to broaden their contribution in rechargeable ion batteries.
78 citations
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Washington State University1, Beijing Normal University2, The Catholic University of America3, Kansai University4, Kwansei Gakuin University5, National University of Malaysia6, National Autonomous University of Mexico7, University of Idaho8, De La Salle University9, Henan Normal University10, Gonzaga University11
TL;DR: Within-individual variability in self-concepts and everyday personality states and affects was investigated in two experience sampling studies using density distribution and situation-behavior approaches as mentioned in this paper, and the results showed that within individual variability was substantial and selfconcept and personality state variability exhibited moderate convergence.
78 citations
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TL;DR: The width of the f(0)(980) observed in the dipion mass spectra is anomalously narrower than the world average and Decay rates for three-pion decays of the η' are also measured precisely.
Abstract: The decays J/psi -> gamma pi(+)pi(-)pi(0) and J/psi ->gamma pi(0)pi(0)pi(0) are analyzed using a sample of 225 X 10(6) J/psi events collected with the BESIII detector. The decay of eta(1405) -> f(0)(980)pi(0) with a large isospin violation is observed for the first time. The width of the f(0)(980) observed in the dipion mass spectra is anomalously narrower than the world average. Decay rates for three-pion decays of the eta' are also measured precisely.
78 citations
Authors
Showing all 10953 results
Name | H-index | Papers | Citations |
---|---|---|---|
Hua Zhang | 163 | 1503 | 116769 |
Jie Wu | 112 | 1537 | 56708 |
Peng Wang | 108 | 1672 | 54529 |
Lei Liu | 98 | 2041 | 51163 |
Lixia Zhang | 93 | 351 | 47817 |
Zhongwei Chen | 92 | 511 | 33700 |
Wei Chen | 90 | 938 | 35799 |
Zhiguo Ding | 88 | 817 | 35162 |
Xiaolong Wang | 81 | 966 | 31455 |
Junhua Li | 77 | 480 | 21626 |
Jiujun Zhang | 76 | 276 | 39624 |
Lei Liao | 75 | 276 | 18815 |
Peng Xu | 75 | 1151 | 25005 |
Wei Wang | 75 | 1167 | 23558 |
Tony D. James | 73 | 435 | 21605 |