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Institution

Southwest University

EducationChongqing, China
About: Southwest University is a education organization based out in Chongqing, China. It is known for research contribution in the topics: Gene & Population. The organization has 29772 authors who have published 27755 publications receiving 409441 citations. The organization is also known as: Southwest University in Chongqing & SWU.
Topics: Gene, Population, Catalysis, Bombyx mori, Adsorption


Papers
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Journal ArticleDOI
01 Feb 2015
TL;DR: A distributed cooperative optimization problem encountered in a computational multiagent network with delay is considered, where each agent has local access to its convex cost function, and jointly minimizes the cost function over the whole network.
Abstract: In this technical correspondence, we consider a distributed cooperative optimization problem encountered in a computational multiagent network with delay, where each agent has local access to its convex cost function, and jointly minimizes the cost function over the whole network. To solve this problem, we develop an algorithm that is based on dual averaging updates and delayed subgradient information, and analyze its convergence properties for a diminishing step-size by utilizing Bregman-distance functions. Moreover, we provide sharp bounds on the convergence rates as a function of the network size and topology embodied in the inverse spectral gap. Finally, we present a numerical example to evaluate our algorithm and compare its performance with several similar algorithms.

146 citations

Journal ArticleDOI
Chen Chen1, Zhengchun Hua1, Ruiqi Zhang1, Guangyuan Liu1, Wanhui Wen1 
TL;DR: An approach based on deep learning that combined convolutional neural networks (CNNs) and long short-term memory networks (LSTM) to automatically identify six types of ECG signals that had robust generalization performance and could be used as an auxiliary tool to help clinicians diagnose arrhythmia after training with a larger database.

146 citations

Journal ArticleDOI
Zhong Wei Jiang1, Peng-Fei Gao1, Lin Yang1, Cheng Zhi Huang1, Yuan Fang Li1 
TL;DR: The proposed SERS system may open up a new opportunity for chemical and biological assay applications by effectively concentrating analytes in close proximity to the Raman hot spots domains between the adjacent AgNPs.
Abstract: Surface-enhanced Raman scattering (SERS) signals are intensively dominated by the Raman hot spots and distance between analyte molecules and metallic nanostructures. Herein, an efficient SERS substrate was developed by in situ synthesis of silver nanoparticles (AgNPs) on the surface of MIL-101 (Fe), a typical metal-organic framework (MOF). The as-prepared SERS substrate combines the numerous Raman hot spots between the high-density Ag NPs and the excellent adsorption performance of MOFs, making it an excellent SERS substrate for highly sensitive SERS detection by effectively concentrating analytes in close proximity to the Raman hot spots domains between the adjacent AgNPs. The resulting hybrid material was used for ultrasensitive SERS detection of dopamine based on the peroxidase-like activity of MIL-101 (Fe) by utilizing the enzyme-linked immunosorbent assay (ELISA) colorimetric substrate, 2,2'-azino-bis(3-ethylbenzthiazoline-6-sulfonic acid) diammonium salt (ABTS) as a SERS marker. This new developed method showed good linearity in the range from 1.054 pM to 210.8 nM for dopamine with the correlation coefficient of 0.992, detection limit of approximately 0.32 pM [signal-to-noise ratio (S/N) = 3], and acceptable recoveries ranging from 99.8% to 108.0% in human urine. These results predict that the proposed SERS system may open up a new opportunity for chemical and biological assay applications.

146 citations

Journal ArticleDOI
TL;DR: The problem of exponential stabilization and synchronization for fuzzy model of memristive neural networks (MNNs) is investigated by using periodically intermittent control with novel and useful stabilization criteria and synchronization conditions derived by using Lyapunov functional and differential inequality techniques.

146 citations

Journal ArticleDOI
Yan-Jun Tan1, Jie Li1, Yuan Gao2, Jiang Li2, Shaoyun Guo2, Ming Wang1 
TL;DR: In this article, a facile wet electroless deposition of Ag on surface of cotton fibers (Ag@CFs) in non-woven fabrics was performed to achieve high conductivity of ∼3333 S/m and excellent EMI shielding effectiveness of ∼71 dB.

146 citations


Authors

Showing all 29978 results

NameH-indexPapersCitations
Frank B. Hu2501675253464
Hongjie Dai197570182579
Jing Wang1844046202769
Chao Zhang127311984711
Jianjun Liu112104071032
Miao Liu11199359811
Jun Yang107209055257
Eric Westhof9847234825
En-Tang Kang9776338498
Chang Ming Li9789642888
Wei Zhou93164039772
Li Zhang9291835648
Heinz Rennenberg8752726359
Tao Chen8682027714
Xun Wang8460632187
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202395
2022461
20213,538
20203,257
20192,923
20182,479