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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: The proposed adaptive variable impedance control for force tracking has the capability to track the dynamic desired force and compensate for uncertainties in environment and can achieve better force tracking performance than the constant impedance control.

184 citations

Journal ArticleDOI
Yuanjin Zhao1, Yao Cheng1, Luoran Shang1, Jie Wang1, Zhuoying Xie1, Zhongze Gu1 
01 Jan 2015-Small
TL;DR: The focus is on studies of microfluidics, including their design, fabrication, and application in the generation of barcode particles for multiplex assays, as they have properties of high flexibility, fast reaction times, less reagent consumption, and good repeatability.
Abstract: The increasing use of high-throughput assays in biomedical applications, including drug discovery and clinical diagnostics, demands effective strategies for multiplexing. One promising strategy is the use of barcode particles that encode information about their specific compositions and enable simple identification. Various encoding mechanisms, including spectroscopic, graphical, electronic, and physical encoding, have been proposed for the provision of sufficient identification codes for the barcode particles. These particles are synthesized in various ways. Microfluidics is an effective approach that has created exciting avenues of scientific research in barcode particle synthesis. The resultant particles have found important application in the detection of multiple biological species as they have properties of high flexibility, fast reaction times, less reagent consumption, and good repeatability. In this paper, research progress in the microfluidic synthesis of barcode particles for multiplex assays is discussed. After introducing the general developing strategies of the barcode particles, the focus is on studies of microfluidics, including their design, fabrication, and application in the generation of barcode particles. Applications of the achieved barcode particles in multiplex assays will be described and emphasized. The prospects for future development of these barcode particles are also presented.

184 citations

Journal ArticleDOI
TL;DR: Results indicate that BM- MSCs promote tumor growth and suggest that the crosstalk between tumor cells and BM-MSCs increased the expression of pro-angiogenic factors, which may have induced tumor cell proliferation and angiogenesis thereby increasing solid tumor growth.
Abstract: Mesenchymal stem cells (MSCs) are known to migrate to tumor tissues. This behavior of MSCs has been exploited as a tumor-targeting strategy for cell-based cancer therapy. However, the effects of MSCs on tumor growth are controversial. This study was designed to determine the effect of MSCs on the growth of breast and prostate tumors. Bone marrow-derived MSCs (BM-MSCs) were isolated and characterized. Effects of BM-MSCs on tumor cell proliferation were analyzed in a co-culture system with mouse breast cancer cell 4T1 or human prostate cancer cell DU145. Tumor cells were injected into nude mice subcutaneously either alone or coupled with BM-MSCs. The expression of cell proliferation and angiogenesis-related proteins in tumor tissues were immunofluorescence analyzed. The angiogenic effect of BM-MSCs was detected using a tube formation assay. The effects of the crosstalk between tumor cells and BM-MSCs on expression of angiogenesis related markers were examined by immunofluorescence and real-time PCR. Both co-culturing with mice BM-MSCs (mBM-MSCs) and treatment with mBM-MSC-conditioned medium enhanced the growth of 4T1 cells. Co-injection of 4T1 cells and mBM-MSCs into nude mice led to increased tumor size compared with injection of 4T1 cells alone. Similar experiments using DU145 cells and human BM-MSCs (hBM-MSCs) instead of 4T1 cells and mBM-MSCs obtained consistent results. Compared with tumors induced by injection of tumor cells alone, the blood vessel area was greater in tumors from co-injection of tumor cells with BM-MSCs, which correlated with decreased central tumor necrosis and increased tumor cell proliferation. Furthermore, both conditioned medium from hBM-MSCs alone and co-cultures of hBM-MSCs with DU145 cells were able to promote tube formation ability of human umbilical vein endothelial cells. When hBM-MSCs are exposed to the DU145 cell environment, the expression of markers associated with neovascularization (macrophage inflammatory protein-2, vascular endothelial growth factor, transforming growth factor-beta and IL-6) was increased. These results indicate that BM-MSCs promote tumor growth and suggest that the crosstalk between tumor cells and BM-MSCs increased the expression of pro-angiogenic factors, which may have induced tumor cell proliferation and angiogenesis thereby increasing solid tumor growth.

184 citations

Journal ArticleDOI
TL;DR: In this article, the global exponential stability of a class of reaction-diffusion recurrent neural networks with time-varying delays was analyzed and sufficient conditions were obtained to ensure existence, uniqueness and global exponential stabilisation of the equilibrium point of delayed RNNs.

184 citations

Journal ArticleDOI
TL;DR: A review of point-of-care (POC) diagnostics can be found in this paper, where the authors provide new insights and directions for the future development of POC diagnostics for the management of infectious diseases and contribute to the prevention and control of infectious pandemics like COVID-19.

183 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