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Search Results: 1 - 10 of 42181 matches for " LIANG Jing "
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Analysis of Relay Deployment Based on Handover Outage Probability in High Speed Scenarios  [PDF]
Liang Jing, Xiaojie Xu, Yafeng Wang
Communications and Network (CN) , 2013, DOI: 10.4236/cn.2013.53B2063
Abstract: The LTE and LTE-Advanced systems are supposed to be the most popular cellular network in 4Gnetworks. Relay technology is one of the most preferred technologies proposed in LTE-Advanced standardization to improve the capacity and coverage. This paper analyses the handover outage probability through relay deployment, and proposes some proofs and suggestions for relay deployment to minimize the handover outage probability in high speed scenarios.
Effect of Plant Roots on Soil Nutrient Distributions in Shanghai Urban Landscapes  [PDF]
Jing Liang, Hailan Fang, Guanjun Hao
American Journal of Plant Sciences (AJPS) , 2016, DOI: 10.4236/ajps.2016.72029
Abstract: Twenty-seven surface soil samples were collected from four landscape sites in Shanghai, and seven soil profile samples were gathered from the two older sites for evaluation of horizontal and vertical distribution of soil properties to reveal their relationship with plant roots. Results indicated that urban soil had significant heterogeneities. Soil total nitrogen was significantly correlated with organic matter and total potassium was more abundant than total phosphorus. The available contents of iron, manganese, zinc and copper were higher than the standards for plant growth established by Soltanpour. pH and electrical conductivity increased with increasing soil vertical depth, possibly due to leaching, while the nutrients limiting plant growth such as nitrogen, phosphorus, potassium, iron, copper and zinc had more shallow distributions due to absorption by plant roots. However, with the increasing of soil depth, contents of magnesium, sodium, sulfur and chloride increased due to leaching and bio-cycling, which was further shown by the correlation analysis.
Multiuser Channel Estimation from Higher-Order Statistical Matrix Pencil
Zhi Ding,Jing Liang
EURASIP Journal on Advances in Signal Processing , 2003, DOI: 10.1155/s1687617202209117
Abstract: This paper presents a new statistical approach to the blind estimation of linear multiple-input multiple-output (MIMO) channels with finite impulse response. A matrix pencil is constructed from a set of fourth-order cumulant matrices of the channel output signals. The MIMO channel impulse responses can then be efficiently estimated from the generalized eigendecomposition of this cumulant matrix pencil. Random weighting is applied in the matrix pencil construction to improve the reliability of the algorithm. The proposed new method requires a relaxed channel identifiability condition and is robust in the sense that it does not require the exact knowledge of the MIMO channel order.
Role of NKG2D-Expressing NK Cells and sMICA in Immune Surveillance of Advanced Lung Cancer
Jing LIANG,Fucai HAN
Chinese Journal of Lung Cancer , 2009,
Abstract: Background and objective NKG2D-expressing NK cells and soluble major histocompatibility complex class Ⅰ-related chain A (sMICA) is one of aroused general interests in tumor research area recently. The aimof the study is to investigate the levels of NKG2D-expressing NK cells and sMICA in peripheral blood of advanced lung cancer which are remarkably related to clinical significance and analyse the role of NKG2D-expressing NK cells and sMICA in immune surveillance. Methods Flow cytometry was used to determine the percentage of NKG2D-expressing NK cells, T cell subsets, NK cells, and ELISA was used to mesure the levels of sMICA in peripheral blood of 115 advanced lung cancer patients and 50 healthy controls. Results Compared with control group, the levels of sMICA、CD8+T cells, NK cells increased, while the levels of NKG2D-expressing NK cells, CD3+ T cells, CD4+ T cells, CD4+ T/CD8+ T in experimental group decreased. NKG2D-expressing NK cells had a perfect negative correlation with sMICA (r =-0.319, P <0.05). NKG2D-expressing NK cells had positive correlation with CD4+ T cells, CD4+ T/CD8+ T and negative correlationwith CD8+ T cells (P <0.05), sMICA had negative correlation with CD4+ T cells, CD4+ T/CD8+ T and positive correlation with CD8+ T cells (P <0.05), they had no significant correlation with CD3+ T cells, NK cells respectively (P <0.05). Conclusion Accumulation of sMICA in serum may lead to the down-modulation of NKG2D-expressing NK which has been proposed to be a novel mechanism used by cancer cells to evade the tumor immunosurveillance. They may be potential indicators investigating immune functions and helpful in the evaluation of their happening and proceeding.
On Classical Solutions to the Cauchy Problem of the Two-Dimensional Barotropic Compressible Navier-Stokes Equations with Vacuum
Jing Li,Zhilei Liang
Mathematics , 2013,
Abstract: This paper concerns the Cauchy problem of the barotropic compressible Navier-Stokes equations on the whole two-dimensional space with vacuum as far field density. In particular, the initial density can have compact support. When the shear and the bulk viscosities are a positive constant and a power function of the density respectively, it is proved that the two-dimensional Cauchy problem of the compressible Navier-Stokes equations admits a unique local strong solution provided the initial density decays not too slow at infinity. Moreover, if the initial data satisfy some additional regularity and compatibility conditions, the strong solution becomes a classical one.
Some Uniform Estimates and Large-Time Behavior for One-Dimensional Compressible Navier-Stokes System in Unbounded Domains with Large Data
Jing LI,Zhilei Liang
Mathematics , 2014,
Abstract: This paper is concerned with the large-time behavior of solutions to the initial and initial boundary value problems with large initial data for the compressible Navier-Stokes system describing the one-dimensional motion of a viscous heat-conducting perfect polytropic gas in unbounded domains. The temperature is proved to be bounded from below and above independently of both time and space. Moreover, the global solution is showed to be asymptotically stable as time tends to infinity. Note that the initial data can be arbitrarily large. This result is proved by using elementary energy methods.
On Rainbow-$k$-Connectivity of Random Graphs
Jing He,Hongyu Liang
Computer Science , 2010,
Abstract: A path in an edge-colored graph is called a \emph{rainbow path} if all edges on it have pairwise distinct colors. For $k\geq 1$, the \emph{rainbow-$k$-connectivity} of a graph $G$, denoted $rc_k(G)$, is the minimum number of colors required to color the edges of $G$ in such a way that every two distinct vertices are connected by at least $k$ internally disjoint rainbow paths. In this paper, we study rainbow-$k$-connectivity in the setting of random graphs. We show that for every fixed integer $d\geq 2$ and every $k\leq O(\log n)$, $p=\frac{(\log n)^{1/d}}{n^{(d-1)/d}}$ is a sharp threshold function for the property $rc_k(G(n,p))\leq d$. This substantially generalizes a result due to Caro et al., stating that $p=\sqrt{\frac{\log n}{n}}$ is a sharp threshold function for the property $rc_1(G(n,p))\leq 2$. As a by-product, we obtain a polynomial-time algorithm that makes $G(n,p)$ rainbow-$k$-connected using at most one more than the optimal number of colors with probability $1-o(1)$, for all $k\leq O(\log n)$ and $p=n^{-\epsilon(1\pm o(1))}$ for some constant $\epsilon\in[0,1)$.
A Propagation Environment Modeling in Foliage
Liang Jing,Liang Qilian,Samn SherwoodW
EURASIP Journal on Wireless Communications and Networking , 2010,
Abstract: Foliage clutter, which can be very large and mask targets in backscattered signals, is a crucial factor that degrades the performance of target detection, tracking, and recognition. Previous literature has intensively investigated land clutter and sea clutter, whereas foliage clutter is still an open-research area. In this paper, we propose that foliage clutter should be more accurately described by a log-logistic model. On a basis of pragmatic data collected by ultra-wideband (UWB) radars, we analyze two different datasets by means of maximum likelihood (ML) parameter estimation as well as the root mean square error (RMSE) performance. We not only investigate log-logistic model, but also compare it with other popular clutter models, namely, log-normal, Weibull, and Nakagami. It shows that the log-logistic model achieves the smallest standard deviation (STD) error in parameter estimation, as well as the best goodness-of-fit and smallest RMSE for both poor and good foliage clutter signals.
A Propagation Environment Modeling in Foliage
Jing Liang,Qilian Liang,Sherwood W. Samn
EURASIP Journal on Wireless Communications and Networking , 2010, DOI: 10.1155/2010/873070
Abstract: Foliage clutter, which can be very large and mask targets in backscattered signals, is a crucial factor that degrades the performance of target detection, tracking, and recognition. Previous literature has intensively investigated land clutter and sea clutter, whereas foliage clutter is still an open-research area. In this paper, we propose that foliage clutter should be more accurately described by a log-logistic model. On a basis of pragmatic data collected by ultra-wideband (UWB) radars, we analyze two different datasets by means of maximum likelihood (ML) parameter estimation as well as the root mean square error (RMSE) performance. We not only investigate log-logistic model, but also compare it with other popular clutter models, namely, log-normal, Weibull, and Nakagami. It shows that the log-logistic model achieves the smallest standard deviation (STD) error in parameter estimation, as well as the best goodness-of-fit and smallest RMSE for both poor and good foliage clutter signals.
Retrospective analysis of 79 gastrointestinal carcinoids diagnosed by endoscopy and review of literature
Yan NIE,Jing YANG,Jing WEN,Hao LIANG
Medical Journal of Chinese People's Liberation Army , 2012,
Abstract: Objective To explore clinical manifestations, endoscopic and pathologic characteristics, and treatment of gastrointestinal carcinoids, thus improving diagnosis and treatment. Methods The clinical data of a total of 79 cases of gastrointestinal carcinoids discovered via endoscopy and diagnosed pathologically in General Hospital of People's Liberation Army from January 2007 to March 2011 were retrospectively analyzed, including clinical features, appearance in endoscopy, pathological diagnosis, treatment, occurrence of metastasis of the carcinoid, and treatment effects. Furthermore, a review of literature was conducted. Results Among the 79 patients with gastrointestinal carcinoids, those with stomach carcinoids accounted for 12.7% (10/79), duodenal carcinoids 11.4% (9/79), carcinoids of the sigmoid colon 1.3% (1/79), and rectal carcinoid 74.6% (59/79). There were no typical clinical manifestations in all of the 79 patients. Endoscopic findings were primarily polypoid or submucosal tumor. Up to 31 cases were diagnosed through pathological examination of biopsy specimens, whereas 48 cases were diagnosed after operative treatment. Immunohistochemistry was conducted in 41 specimens, and the results indicated that the positive rate of chromaffin granule A(CgA), synaptophysin(Syn), and CD56i was 34.1%, 100%, and 80.5%, respectively. A total of 62 patients were cured successfully under endoscopy. Furthermore, the metastasis rate was low (7.6%, 6/79). Conclusions There was no specific clinical manifestation in the early stage of the carcinoids, and gastrointestinal endoscopy and pathology were the main tools for their discovery and diagnosis. The treatment method for gastrointestinal carcinoid was dependent on the size of tumor, infiltration, and metastasis. Endoscopic treatment should be the first choice for patients who meet the criteria of endoscopic excision.
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