Southeast University

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

hsa_circ_0013958: a circular RNA and potential novel biomarker for lung adenocarcinoma.

Abstract: Circular RNAs (circRNAs) are associated with cancer progression and metastasis, although little is known about their role in lung adenocarcinoma (LAC). In the present study, microarrays were first used to screen for tumour-specific circRNA candidates in LAC tissue. Thirty-nine circRNAs were found to be up-regulated and 20 were down-regulated (fold change > 2.0). Among them, hsa_circ_0013958 was further confirmed to be up-regulated in all of the LAC tissues, cells and plasma. In addition, hsa_circ_0013958 levels were associated with TNM stage (P = 0.009) and lymphatic metastasis (P = 0.006). The area under the receiver operating characteristic curve was 0.815 (95% confidence interval = 0.727-0.903; P < 0.001). In addition, to further illustrate the bioactivities of hsa_circ_0013958 in LAC, siRNA-mediated inhibition of hsa_circ_0013958 was performed in vitro. The results showed that hsa_circ_0013958 promoted cell proliferation and invasion and inhibited cell apoptosis in LAC. Moreover, hsa_circ_0013958 was identified as a sponge of miR-134, and thus it up-regulated oncogenic cyclin D1, which plays a pivotal role in the development of non-small cell lung cancer. In conclusion, our results suggested that hsa_circ_0013958 could be used as a potential non-invasive biomarker for the early detection and screening of LAC.

Energy-Efficient Resource Assignment and Power Allocation in Heterogeneous Cloud Radio Access Networks

Abstract: Taking full advantages of both heterogeneous networks (HetNets) and cloud access radio access networks (CRANs), heterogeneous cloud radio access networks (H-CRANs) are presented to enhance both the spectral and energy efficiencies, where remote radio heads (RRHs) are mainly used to provide high data rates for users with high quality of service (QoS) requirements, while the high power node (HPN) is deployed to guarantee the seamless coverage and serve users with low QoS requirements. To mitigate the inter-tier interference and improve EE performances in H-CRANs, characterizing user association with RRH/HPN is considered in this paper, and the traditional soft fractional frequency reuse (S-FFR) is enhanced. Based on the RRH/HPN association constraint and the enhanced S-FFR, an energy-efficient optimization problem with the resource assignment and power allocation for the orthogonal frequency division multiple access (OFDMA) based H-CRANs is formulated as a non-convex objective function. To deal with the non-convexity, an equivalent convex feasibility problem is reformulated, and closedform expressions for the energy-efficient resource allocation solution to jointly allocate the resource block and transmit power are derived by the Lagrange dual decomposition method. Simulation results confirm that the H-CRAN architecture and the corresponding resource allocation solution can enhance the energy efficiency significantly.

Flat metasurfaces to focus electromagnetic waves in reflection geometry.

Abstract: We show that a flat metasurface with a parabolic reflection-phase distribution can focus an impinging plane wave to a point image in reflection geometry. Our system is much thinner than conventional geometric-optics devices and does not suffer the energy-loss issues encountered by many metamaterial devices working in transmission geometry. We designed realistic microwave samples and performed near-field scanning experiments to verify the focusing effect. Experimental results are in good agreement with full wave simulations, model calculations, and theoretical analyses.