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.

Microendoscopic discectomy for lumbar disc herniation: surgical technique and outcome in 873 consecutive cases.

Abstract: Study design A retrospective review involving 873 consecutive cases of lumbar disc herniation treated by microendoscopic discectomy (MED) was conducted and a mean 28-month follow-up was performed. Objective The purpose of this study was to describe the MED technique for lumbar disc herniation and report long-time outcome and complications. Summary of background data The conception of MED was introduced in 1997. Long-time outcome has not been described. Method A total of 873 consecutive patients with lumbar disc herniation were treated with the METRx system. Oswestry Disability Index (ODI) was used to quantify pain relief. The degree of pain and disability was also measured by visual analog scale (VAS) and modified MacNab criteria. A control group of 358 patients treated with standard open discectomy was used for comparison. Results There was significant improvement in the mean preoperative and postoperative VAS and ODI score for the MED and open groups, and there was no statistical difference of the pain improvement between the two groups. For the MED group, average length of hospital stay was 4.8 days; mean time to return to work or normal activities was 15 days; average operative blood loss per level was 44 mL. These were significantly less than open group. Conclusions MED is an effective microendoscopic system with fine long-term outcome in treating lumbar disc herniation. The endoscopic approach allows smaller incisions and less tissue trauma, compared with standard open microdiscectomy. Strict adherence to well-defined preoperative selection criteria could ensure optimal postoperative outcome.

Joint Computation Offloading and Resource Allocation Optimization in Heterogeneous Networks With Mobile Edge Computing

Abstract: In this paper, we propose a distributed joint computation offloading and resource allocation optimization (JCORAO) scheme in heterogeneous networks with mobile edge computing. An optimization problem is formulated to provide the optimal computation offloading strategy policy, uplink subchannel allocation, uplink transmission power allocation, and computation resource scheduling. The optimization problem is decomposed into two sub-problems due to the NP-hard property. In order to analyze the offloading strategy, a sub-algorithm named distributed potential game is built. The existence of Nash equilibrium is proved. To jointly allocate uplink subchannel, uplink transmission power, and computation resource for the offloading mobile terminals, a sub-algorithm named cloud and wireless resource allocation algorithm is designed. The solutions for subchannel allocation consist of uniform zero frequency reuse method without interference and fractional frequency reuse method based on Hungarian and graph coloring with interference. A distributed JCORAO scheme is proposed to solve the optimization problem by the mutual iteration of the two sub-algorithms. Simulation results show that the distributed JCORAO scheme can effectively decrease the energy consumption and task completion time with lower complexity.

Adaptive complete synchronization of two identical or different chaotic (hyperchaotic) systems with fully unknown parameters.

Abstract: This paper studies the adaptive complete synchronization of chaotic and hyperchaotic systems with fully unknown parameters. In practical situations, some systems’ parameters cannot be exactly known a priori, and the uncertainties often affect the stability of the process of synchronization of the chaotic oscillators. An adaptive scheme is proposed to compensate for the effects of parameters' uncertainty based on the structure of chaotic systems in this paper. Based on the Lyapunov stability theorem, an adaptive controller and a parameters update law can be designed for the synchronization of chaotic and hyperchaotic systems. The drive and response systems can be nonidentical, even with different order. Three illustrative examples are given to demonstrate the validity of this technique, and numerical simulations are also given to show the effectiveness of the proposed chaos synchronization method. In addition, this synchronization scheme is quite robust against the effect of noise.

Exosomal miRNA-19b-3p of tubular epithelial cells promotes M1 macrophage activation in kidney injury.

Abstract: Tubulointerstitial inflammation is a common characteristic of acute and chronic kidney injury. However, the mechanism by which the initial injury of tubular epithelial cells (TECs) drives interstitial inflammation remains unclear. This paper aims to explore the role of exosomal miRNAs derived from TECs in the development of tubulointerstitial inflammation. Global microRNA(miRNA) expression profiling of renal exosomes was examined in a LPS induced acute kidney injury (AKI) mouse model and miR-19b-3p was identified as the miRNA that was most notably increased in TEC-derived exosomes compared to controls. Similar results were also found in an adriamycin (ADR) induced chronic proteinuric kidney disease model in which exosomal miR-19b-3p was markedly released. Interestingly, once released, TEC-derived exosomal miR-19b-3p was internalized by macrophages, leading to M1 phenotype polarization through targeting NF-κB/SOCS-1. A dual-luciferase reporter assay confirmed that SOCS-1 was the direct target of miR-19b-3p. Importantly, the pathogenic role of exosomal miR-19b-3p in initiating renal inflammation was revealed by the ability of adoptively transferred of purified TEC-derived exosomes to cause tubulointerstitial inflammation in mice, which was reversed by inhibition of miR-19b-3p. Clinically, high levels of miR-19b-3p were found in urinary exosomes and were correlated with the severity of tubulointerstitial inflammation in patients with diabetic nephropathy. Thus, our studies demonstrated that exosomal miR-19b-3p mediated the communication between injured TECs and macrophages, leading to M1 macrophage activation. The exosome/miR-19b-3p/SOCS1 axis played a critical pathologic role in tubulointerstitial inflammation, representing a new therapeutic target for kidney disease.