scispace - formally typeset
Search or ask a question
Institution

Henan University of Technology

EducationZhengzhou, 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
More filters
Journal ArticleDOI
TL;DR: For the continuous-time and sampled-data control algorithms, it is shown that the bipartite synchronization problems of the signed Lur'e network can always be solved if the coupling strength is sufficiently large and the network topology satisfies some suitable conditions.
Abstract: This paper considers the bipartite leaderless and leader-following synchronization in a network of coupled Lur'e systems with sector-condition node dynamics and signed digraph topology, where the interaction digraph consists of both positive and negative communication links. Continuous-time and sampled-data control algorithms are, respectively, proposed to solve the bipartite synchronization problems for the signed Lur'e network. Under some assumptions on the network structure and node functions, some bipartite synchronization conditions are established for signed Lur'e network by using coordinate transform, linear matrix inequalities, and algebraic graph theories. For the continuous-time control algorithms, it is shown that the bipartite synchronization problems of the signed Lur'e network can always be solved if the coupling strength is sufficiently large and the network topology satisfies some suitable conditions. For the sampled-data control algorithms, an upper bound of the sampling intervals is estimated to ensure that the bipartite synchronization can be reached in the signed Lur'e network. Some simulation results are given to illustrate the effectiveness of the theoretical analysis.

45 citations

Journal ArticleDOI
TL;DR: In this paper, an electrochemical aptasensor including CoSe2/AuNRs, 3D structured DNA-PtNi@Co-MOF networks and nicking enzyme was employed to detect zearalenone (ZEN).
Abstract: In this work, an electrochemical aptasensor including CoSe2/AuNRs, 3D structured (3 ds) DNA-PtNi@Co-MOF networks and nicking enzyme was employed to detect zearalenone (ZEN). Herein, CoSe2/AuNRs with large surface area and high conductivity was synthesized to provide a favorable platform for the construction of aptasensor. 3 ds DNA-PtNi@Co-MOF networks with intrinsic catalysis towards thionine (Thi) could largely increase the amount of signal tags Thi and signal amplifiers PtNi@Co-MOF to amplify the current response. When ZEN existed, the aptamer (Apt) was opened to obtain the target complex (ZEN-Apt), thereby further opening hairpin H1 through DNA hybridization. With the aid of nicking enzyme, the ZEN-Apt was released to initiate the next hybridization process, resulting in the production of amounts of residual DNA H1. Thi labeled DNA H2-PtNi@Co-MOF can be introduced by hybridization of residual DNA H1 and hairpin base sequence of DNA H2 to obtain a significantly amplified current. Eventually, higher current was obtained through the further adding of Thi labeled 3 ds DNA-PtNi@Co-MOF networks. As a result, the aptasensor exhibited a low detection limit of 1.37 fg/mL (S/N = 3). Furthermore, the resultant aptasensor exhibited satisfactory stability and specificity, and was applied to detect ZEN in maize samples.

45 citations

Journal ArticleDOI
TL;DR: Among the five fractions, CSP has thehighest DPPH radical scavenging activity while KSH-1 has the highest reducing power, which can contribute to the applications of Chinese quince fruit polysaccharides in food and pharmaceutical industries.

45 citations

Journal ArticleDOI
TL;DR: Recent progress using DG and its derivatives as therapeutic agents for multiple neurological disorders along with their various mechanisms in the central nervous system are summarized.
Abstract: Diosgenin (DG), a well-known steroidal sapogenin, is present abundantly in medicinal herbs such as Dioscorea rhizome, Dioscorea villosa, Trigonella foenum-graecum, Smilax China, and Rhizoma polgonati. DG is utilized as a major starting material for the production of steroidal drugs in the pharmaceutical industry. Due to its wide range of pharmacological activities and medicinal properties, it has been used in the treatment of cancers, hyperlipidemia, inflammation, and infections. Numerous studies have reported that DG is useful in the prevention and treatment of neurological diseases. Its therapeutic mechanisms are based on the mediation of different signaling pathways, and targeting these pathways might lead to the development of effective therapeutic agents for neurological diseases. The present review mainly summarizes recent progress using DG and its derivatives as therapeutic agents for multiple neurological disorders along with their various mechanisms in the central nervous system. In particular, those related to therapeutic efficacy for Parkinson's disease, Alzheimer's disease, brain injury, neuroinflammation, and ischemia are discussed. This review article also critically evaluates existing limitations associated with the solubility and bioavailability of DG and discusses imperatives for translational clinical research. It briefly recapitulates recent advances in structural modification and novel formulations to increase the therapeutic efficacy and brain levels of DG. In the present review, databases of PubMed, Web of Science, and Scopus were used for studies of DG and its derivatives in the treatment of central nervous system diseases published in English until December 10, 2019. Three independent researchers examined articles for eligibility. A total of 150 articles were screened from the above scientific literature databases. Finally, a total of 46 articles were extracted and included in this review. Keywords related to glioma, ischemia, memory, aging, cognitive impairment, Alzheimer, Parkinson, and neurodegenerative disorders were searched in the databases based on DG and its derivatives.

45 citations

Book ChapterDOI
14 Sep 2007
TL;DR: A novel blind watermark extracting scheme using the Discrete Wavelet Transform (DWT) and Particle Swarm Optimization (PSO) algorithm that results in an almost invisible difference between the watermarked image and the original image, and is robust to common image processing operations and JPEG lossy compression.
Abstract: In this paper, a novel blind watermark extracting scheme using the Discrete Wavelet Transform (DWT) and Particle Swarm Optimization (PSO) algorithm is introduced. The watermark is embedded to the discrete multiwavelet transform (DMT) coefficients larger than some threshold values, and watermark extraction is efficiently performed via particle swarm optimization algorithm.The experimental results show that the proposed watermarking scheme results in an almost invisible difference between the watermarked image and the original image, and is robust to common image processing operations and JPEG lossy compression.

45 citations


Authors

Showing all 7708 results

NameH-indexPapersCitations
Xin Li114277871389
Yang Liu82169533657
Qing-Hua Qin525059939
Dong-Qing Wei484187839
Feng Qi4758110687
Jian Jian Li461197577
Hongshun Yang461655539
Shuangqiang Chen41735539
Fei Xu403146102
Dennis R. Salahub391329259
Lingbo Qu372914894
Yuting Wang378011820
Zhiyong Jiang361353559
Baoping Tang31832455
Jinliang Liu301072317
Network Information
Related Institutions (5)
Jiangnan University
29K papers, 450.1K citations

88% related

South China University of Technology
69.4K papers, 1.2M citations

88% related

Southwest University
27.7K papers, 409.4K citations

86% related

Zhengzhou University
50.3K papers, 668.6K citations

85% related

Zhejiang University of Technology
25.2K papers, 336.1K citations

85% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202325
2022128
2021799
2020670
2019574
2018452