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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: Population & Bombyx mori. The organization has 29772 authors who have published 27755 publications receiving 409441 citations. The organization is also known as: Southwest University in Chongqing & SWU.


Papers
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Journal ArticleDOI
01 Jan 2015-Geoderma
TL;DR: In this article, a hybrid approach, random forest plus residuals kriging (RFRK), was proposed to predict and map the spatial pattern of SOM for the rubber plantation in Hainan Island, China.

162 citations

Journal ArticleDOI
TL;DR: The design of an ultra-broadband infrared absorber based on metasurface is demonstrated and it is demonstrated that the absorption bandwidth can be greatly expanded by using two layers of metAsurface, i.e. dual-layered absorber.
Abstract: By using sub-wavelength resonators, metamaterial absorber shows great potential in many scientific and technical applications due to its perfect absorption characteristics. For most practical applications, the absorption bandwidth is one of the most important performance metrics. In this paper, we demonstrate the design of an ultra-broadband infrared absorber based on metasurface. Compared with the prior work [Opt. Express22(S7), A1713-A1724 (2014)], the proposed absorber shows more than twice the absorption bandwidth. The simulated total absorption exceeds 90% from 7.8 to 12.1 um and the full width at half maximum is 50% (from 7.5 to 12.5 μm), which is achieved by using a single layer of metasurface. Further study demonstrates that the absorption bandwidth can be greatly expanded by using two layers of metasurface, i.e. dual-layered absorber. The total absorption of the dual-layered absorber exceeds 80% from 5.2 to 13.7 um and the full width at half maximum is 95% (from 5.1 to 14.1 μm), much greater than those previously reported for infrared spectrum. The absorption decreases with fluctuations as the incident angle increases but remains quasi-constant up to relatively large angles.

162 citations

Journal ArticleDOI
Fuyuan Xiao1
TL;DR: This article proposes a new distance measure between IFSs based on the Jensen–Shannon divergence that can not only satisfy the axiomatic definition of distance measure but also has nonlinear characteristics and generates more reasonable results than do other existing measure methods.
Abstract: As a generation of fuzzy sets, intuitionistic fuzzy sets (IFSs) have a more powerful ability to represent and address the uncertainty of information. Therefore, IFSs have been used in many areas. However, the distance measure between the IFSs indicating the difference or discrepancy grade is still an open question that has attracted considerable attention over the past few decades. Although various measurement methods have been developed, some problems still exist regarding the unsatisfactory axioms of distance measure or that lack discernment and cause counterintuitive cases. To address the above issues, in this article, we propose a new distance measure between IFSs based on the Jensen–Shannon divergence. This new IFS distance measure can not only satisfy the axiomatic definition of distance measure but also has nonlinear characteristics. As a result, it can better discriminate the discrepancies between IFSs, and it generates more reasonable results than do other existing measure methods; these advantages are illustrated by several numerical examples. Based on these qualities, an algorithm for pattern classification is designed that provides a promising solution for addressing inference problems.

162 citations

Journal ArticleDOI
TL;DR: In this article, the dependence of the response function on model parameters is approximated up to the quadratic term, and the model parameters are optimized by simultaneously fitting J/ψ inclusive charged track distributions and event shapes.
Abstract: Using J/ψ decays collected with the BES III detector, Lundcharm model parameters are optimized with J/ψ light hadron decays. The dependence of the response function on model parameters is approximated up to the quadratic term, and the model parameters are optimized by simultaneously fitting J/ψ inclusive charged track distributions and event shapes. The Monte Carlo simulations show that optimal parameters yield satisfactory MC distributions as compared to both the J/ψ and ψ(2S) data distributions. These optimal values are suggested for the Lundcharm model to produce J/ψ and ψ(2S) decays to light hadrons.

162 citations

Journal ArticleDOI
An-Yi Chen1, Shaoyong Ma1, Ying Zhuo1, Yaqin Chai1, Ruo Yuan1 
TL;DR: The ECL assay for miR-21 detection demonstrated excellent linear response to a concentration variation from 100 aM to 100 pM and limit of detection down to 22 aM, and the obtained ECL intensity dependent on the amount of the Ag NCs, which was positively related to the concentration of the target miM-21.
Abstract: On the basis of a novel target-cycling synchronized rolling circle amplification (RCA) as a signal amplification strategy and in situ electrochemical generation of silver nanoclusters (Ag NCs) as signal probes, an ultrasensitive and simple electrochemiluminescence (ECL) biosensor was proposed for microRNA (miRNA) detection. It was worth mentioning that the circular template was subtly designed to consist of a guanine-rich (G-rich) region and a binding region for realizing target-cycling synchronized RCA. In the presence of target miR-21, the binding region hybridized with the primer and the target miR-21 to form a ternary “P” junction structure, and then the RCA was triggered from the 3′-end of the primer. Along with the proceeding of RCA, the target miR-21 was released and participated into another trigger of the RCA. On account of the G-rich region in the circular template, the product DNA of the target-cycling synchronized RCA possessed tandem periodic cytosine-rich (C-rich) sequences, which acted as l...

162 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
20213,537
20203,257
20192,923
20182,479