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Institution

Southeast University

EducationNanjing, China
About: Southeast University is a education organization based out in Nanjing, China. It is known for research contribution in the topics: Computer science & MIMO. The organization has 66363 authors who have published 79434 publications receiving 1170576 citations. The organization is also known as: SEU.


Papers
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Journal ArticleDOI
TL;DR: For the first time, triple-mode emission (PL, UCPL, and room temperature phosphorescence (RTP) is reported, which relies on a composite of the luminescent carbon dots (CDs) prepared from m-phenylenediamine and poly(vinyl alcohol) (PVA) and demonstrates promise as a triple- mode emission ink in the field of advanced anti-counterfeiting.
Abstract: Photoluminescence (PL), up-conversion PL (UCPL), and phosphorescence are three kinds of phenomena common to light-emitting materials, but it is very difficult to observe all of them simultaneously when they are derived from a single material at room temperature. For the first time, triple-mode emission (that is, PL, UCPL, and room temperature phosphorescence (RTP)) is reported, which relies on a composite of the luminescent carbon dots (CDs) prepared from m-phenylenediamine and poly(vinyl alcohol) (PVA). Moreover, the CDs-PVA aqueous dispersion is nearly colorless and demonstrates promise as a triple-mode emission ink in the field of advanced anti-counterfeiting.

540 citations

Journal ArticleDOI
TL;DR: G-O appears to be an ideal material for constructing humidity sensors with ultrahigh sensitivity for widespread applications and has a fast response time and recovery time compared with conventional capacitive humidity sensors.
Abstract: Humidity sensors have been extensively used in various fields, and numerous problems are encountered when using humidity sensors, including low sensitivity, long response and recovery times, and narrow humidity detection ranges. Using graphene oxide (G-O) films as humidity sensing materials, we fabricate here a microscale capacitive humidity sensor. Compared with conventional capacitive humidity sensors, the G-O based humidity sensor has a sensitivity of up to 37800% which is more than 10 times higher than that of the best one among conventional sensors at 15%–95% relative humidity. Moreover, our humidity sensor shows a fast response time (less than 1/4 of that of the conventional one) and recovery time (less than 1/2 of that of the conventional one). Therefore, G-O appears to be an ideal material for constructing humidity sensors with ultrahigh sensitivity for widespread applications.

538 citations

Journal ArticleDOI
TL;DR: In this paper, the authors summarized the important research activities on multiferroics, especially magnetoelectricity and related physics in the last six years, and addressed the physical mechanisms regarding magneto-lectric coupling so that the backbone of this divergent discipline can be highlighted.
Abstract: Multiferroics are those materials with more than one ferroic order, and magnetoelectricity refers to the mutual coupling between magnetism and electricity. The discipline of multiferroicity has never been so highly active as that in the first decade of the twenty-first century, and it has become one of the hottest disciplines of condensed matter physics and materials science. A series of milestones and steady progress in the past decade have enabled our understanding of multiferroic physics substantially comprehensive and profound, which is further pushing forward the research frontier of this exciting area. The availability of more multiferroic materials and improved magnetoelectric performance are approaching to make the applications within reach. While seminal review articles covering the major progress before 2010 are available, an updated review addressing the new achievements since that time becomes imperative. In this review, following a concise outline of the basic knowledge of multiferroicity and magnetoelectricity, we summarize the important research activities on multiferroics, especially magnetoelectricity and related physics in the last six years. We consider not only single-phase multiferroics but also multiferroic heterostructures. We address the physical mechanisms regarding magnetoelectric coupling so that the backbone of this divergent discipline can be highlighted. A series of issues on lattice symmetry, magnetic ordering, ferroelectricity generation, electromagnon excitations, multiferroic domain structure and domain wall dynamics, and interfacial coupling in multiferroic heterostructures, will be revisited in an updated framework of physics. In addition, several emergent phenomena and related physics, including magnetic skyrmions and generic topological structures associated with magnetoelectricity will be discussed.

529 citations

Journal ArticleDOI
Yang Dong1, Lin Hao, Zhenduo Shi, Gang Wang, Zhiguo Zhang, Conghui Han 
TL;DR: Tadalafil showed good efficacy and safety for improving LUTS and erectile dysfunction in men with BPH, and 5 mg of tadalafils significantly improved Qmax.
Abstract: Objective: To evaluate the efficacy and safety of tadalafil monotherapy for lower urinary tract symptoms secondary to benign prostatic hyperplasia (LUTS/BPH). <

526 citations

Journal ArticleDOI
TL;DR: Several new sufficient conditions for ascertaining the existence, uniqueness, and global asymptotic stability of the equilibrium point of such recurrent neural networks are obtained by using the theory of topological degree and properties of nonsingular M-matrix, and constructing suitable Lyapunov functionals.
Abstract: In this paper, the existence and uniqueness of the equilibrium point and its global asymptotic stability are discussed for a general class of recurrent neural networks with time-varying delays and Lipschitz continuous activation functions. The neural network model considered includes the delayed Hopfield neural networks, bidirectional associative memory networks, and delayed cellular neural networks as its special cases. Several new sufficient conditions for ascertaining the existence, uniqueness, and global asymptotic stability of the equilibrium point of such recurrent neural networks are obtained by using the theory of topological degree and properties of nonsingular M-matrix, and constructing suitable Lyapunov functionals. The new criteria do not require the activation functions to be differentiable, bounded or monotone nondecreasing and the connection weight matrices to be symmetric. Some stability results from previous works are extended and improved. Two illustrative examples are given to demonstrate the effectiveness of the obtained results.

526 citations


Authors

Showing all 66906 results

NameH-indexPapersCitations
H. S. Chen1792401178529
Yang Yang1712644153049
Gang Chen1673372149819
Xiang Zhang1541733117576
Rui Zhang1512625107917
Yi Yang143245692268
Guanrong Chen141165292218
Wei Huang139241793522
Jun Chen136185677368
Jian Li133286387131
Xiaoou Tang13255394555
Zhen Li127171271351
Tao Zhang123277283866
Bo Wang119290584863
Jinde Cao117143057881
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023228
20221,302
20219,150
20208,667
20197,684
20186,464