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Search Results: 1 - 10 of 67737 matches for " LU HONG "
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Exact Traveling Wave Solutions for Generalized Camassa-Holm Equation by Polynomial Expansion Methods  [PDF]
Junliang Lu, Xiaochun Hong
Applied Mathematics (AM) , 2016, DOI: 10.4236/am.2016.714138
Abstract: We formulate efficient polynomial expansion methods and obtain the exact traveling wave solutions for the generalized Camassa-Holm Equation. By the methods, we obtain three types traveling wave solutions for the generalized Camassa-Holm Equation: hyperbolic function traveling wave solutions, trigonometric function traveling wave solutions, and rational function traveling wave solutions. At the same time, we have shown graphical behavior of the traveling wave solutions.
The relationship between apoptosis and aging  [PDF]
Bin Lu, Hong-Duo Chen, Hong-Guang Hong-Guang
Advances in Bioscience and Biotechnology (ABB) , 2012, DOI: 10.4236/abb.2012.326091
Abstract: Apoptosis is involved in aging and age-related disease, with respect to aging, apoptosis acting in a celltype-specific manner. The rate of apoptosis is elevated in-most types of aging cell populations and organs. In stable cells and certain continuously dividing cells, apoptosisserves to eliminate presumably dysfunctional cellsthat show homeostatic failure due to oxidative stress, glycation, and DNA damage, thereby maintaining homeostasis in the body. What’smore, apoptosis, at least in part, plays some important role inthe regulation of aging process and anti-tumorigenesis in mammals. Age-enhanced apoptosis may be aninnateprotective mechanism against age-associated tumorigenesis. There is clear evidence to indicate that senescentcells are remarkably resistant to apoptosis. The intensity of global apoptosis and autophagy clearance significantly declines in humans during aging, as aging repress the apoptotic response. In this paper, we will review the relationship between apoptosis and aging, and outline how are they interact each other.
Random Attractors for the Stochastic Discrete Long Wave-Short Wave Resonance Equations
Jie Xin,Hong Lu
Journal of Applied Mathematics , 2011, DOI: 10.1155/2011/452087
Abstract: We prove the existence of the random attractor for the stochastic discrete long wave-short wave resonance equations in an infinite lattice. We prove the asymptotic compactness of the random dynamical system and obtain the random attractor. 1. Introduction There has been considerable progress in the study of infinite-dimensinal dynamical systems in the past few decades (see [1–5]). Recently, the dynamics of infinite lattice systems has attracted a great deal of attention from mathematicians and physicists; see [6–11] and the references therein. Various properties of solutions for lattice dynamical systems (LDSs) have been extensively investigated. For example, the long-time behavior of LDSs was studied in [5, 10]. Lattice dynamical systems play an important role in their potential application such as biology, chemical reaction, pattern recognition and image processing, electrical engineering, and laser systems. However, a system in reality is usually affected by external perturbations within many cases that are of great uncertainty or random influence. These random effects are introduced not only to compensate for the defects in some deterministic models but also to explain the intrinsic phenomena. Therefore, there is much work concerning stochastic lattice dynamical systems. The study of random attractors gained considerable attention during the past decades; see [12] for a comprehensive survey. Bates et al. [13] first investigated the existence of global random attractor for a kind of first-order dynamic systems driven by white noise on lattice ; then, Lv and Sun [14] extended the results of Bates to the dimensional lattices. Stochastic complex Ginzburg-Landau equations, FitzHugh-Nagumo equation, and KGS equations in an infinite lattice are studied by Lv and Sun [15], Huang [16], and Yan et al. [17], respectively. The long wave-short wave (LS) resonance system is an important model in nonlinear science. Long wave-short wave resonance equations arise in the study of the interaction of surface waves with both gravity and capillary modes present and also in the analysis of internal waves as well as Rossby waves as in [18]. In the plasma physics they describe the resonance of the high-frequency electron plasma oscillation and the associated low-frequency ion density perturbation in [19]. Due to their rich physical and mathematical properties the long wave-short wave resonance equations have drawn much attention of many physicists and mathematicians. The LS system is as follows: where denotes a complex-valued vector and represents a real-valued function;
Diethylammonium 4-hydroxybenzoate
Yong-Hong Lu
Acta Crystallographica Section E , 2010, DOI: 10.1107/s1600536810040523
Abstract: In the crystal structure of the title compound, C4H12N+·C7H5O3 , the cations and anions are linked by N—H...O and O—H...O hydrogen bonds, leading to the formation of a three-dimensional network.
Reconsidering Peter Newmark s Theory on Literal Translation
Wei Lu,Hong Fang
Theory and Practice in Language Studies , 2012, DOI: 10.4304/tpls.2.4.741-746
Abstract: Even though Translation Studies has undertaken a cultural turn and made fruitful achievements, Peter Newmark, whose theory bears a strong tint of applicability, should still be considered as one of the most important figures in the field of translation studies, especially among those who are devoted to translation practice or translation teaching. Therefore, it is not out of season here to discuss Peter Newmark and his seemingly dated theory in the present academic atmosphere of Translation Studies. Mainly based on A Textbook of Translation, in which the great translation theorist strongly advocates literal translation, this paper has taken a further consideration on to what extent his theory can be applied to Chinese-English and English-Chinese translation, which would be beneficial to translation practice and translation teaching. The aim is not to put forward something new, but rather to serve as an attempt to rectify the academic extremity after the cultural turn in Translation Studies.
Histopathological examination: an efficient way of diagnosing diffuse meningeal lesions
LU De-hong
Chinese Journal of Contemporary Neurology and Neurosurgery , 2013, DOI: 10.3969/j.issn.1672-6731.2013.01.002
Omega-3 fatty acid-derived resolvins and protectins in inflammation resolution and leukocyte functions: targeting novel lipid mediator pathways in mitigation of acute kidney injury
Song Hong,Yan Lu
Frontiers in Immunology , 2013, DOI: 10.3389/fimmu.2013.00013
Abstract: Inflammation, in conjunction with leukocytes, plays a key role in most acute kidney injury (AKI). Non-resolving renal inflammation leads to chronic fibrosis and renal failure. Resolvin D series (RvDs) and E series (RvEs), protectins, and maresins (MaRs) are endogenous omega-3 fatty acid-derived lipid mediators (LMs) that potently promote inflammation resolution by shortening neutrophil life span and promoting macrophage (Mf) non-phelogistic phagocytosis of apoptotic cells and the subsequent exit of Mfs from inflammatory tissue. 14S,21R-dihydroxy docosahexaenoic acid (14S,21R-diHDHA), a Mf-produced autacrine, reprograms Mfs to rescue vascular endothelia. RvD1, RvE1, or 14S,21R-diHDHA also switches Mfs to the phenotype that produces pro-resolving interleukin-10. RvDs or protectin/neuroprotectin D1 (PD1/NPD1) inhibits neutrophil infiltration into injured kidneys, blocks toll-like receptor -mediated inflammatory activation of Mfs and mitigates renal functions. RvDs also repress renal interstitial fibrosis, and PD1 promotes renoprotective heme-oxygenase-1 expression. These findings provide novel approaches for targeting inflammation resolution and LMs or modulation of LM-associated pathways for developing better clinical treatments for AKI.
On Hybrid (Topologically) Massive Supergravity in Three Dimensions
Hong Lu,Yi Pang
Physics , 2010, DOI: 10.1007/JHEP03(2011)050
Abstract: A class of hybrid (topologically) massive off-shell supergravities coupled to an on-shell matter scalar multiplet was recently constructed. The auxiliary field in the off-shell multiplet is dynamical for generic values of the eight parameters. We find that by choosing the parameters appropriately, it remains non-dynamical. We perform linearized analysis around the supersymmetric AdS3 vacuum and its Minkowski limit. The ghost-free condition for the Minkowski vacuum is explored. For the AdS3 vacuum, we obtain the criticality condition and find that at the critical points, one of the two massive gravitons becomes pure gauge and decouples from the bulk physics, whilst the other has positive energy. We demonstrate that the mass of the BTZ black hole is non-negative at the critical points. We also investigate general BPS solutions. For certain parameter choices, we obtain exact solutions. In particular, we present the BPS string (domain-wall) solution that is dual to certain two-dimensional quantum field theory with an ultra-violet conformal fixed point.
A Security-assured Accuracy-maximised Privacy Preserving Collaborative Filtering Recommendation Algorithm
Zhigang Lu,Hong Shen
Computer Science , 2015,
Abstract: The neighbourhood-based Collaborative Filtering is a widely used method in recommender systems. However, the risks of revealing customers' privacy during the process of filtering have attracted noticeable public concern recently. Specifically, $k$NN attack discloses the target user's sensitive information by creating $k$ fake nearest neighbours by non-sensitive information. Among the current solutions against $k$NN attack, the probabilistic methods showed a powerful privacy preserving effect. However, the existing probabilistic methods neither guarantee enough prediction accuracy due to the global randomness, nor provide assured security enforcement against $k$NN attack. To overcome the problems of current probabilistic methods, we propose a novel approach, Partitioned Probabilistic Neighbour Selection, to ensure a required security guarantee while achieving the optimal prediction accuracy against $k$NN attack. In this paper, we define the sum of $k$ neighbours' similarity as the accuracy metric $\alpha$, the number of user partitions, across which we select the $k$ neighbours, as the security metric $\beta$. Differing from the present methods that globally selected neighbours, our method selects neighbours from each group with exponential differential privacy to decrease the magnitude of noise. Theoretical and experimental analysis show that to achieve the same security guarantee against $k$NN attack, our approach ensures the optimal prediction accuracy.
An Accuracy-Assured Privacy-Preserving Recommender System for Internet Commerce
Zhigang Lu,Hong Shen
Computer Science , 2015,
Abstract: Recommender systems, tool for predicting users' potential preferences by computing history data and users' interests, show an increasing importance in various Internet applications such as online shopping. As a well-known recommendation method, neighbourhood-based collaborative filtering has attracted considerable attention recently. The risk of revealing users' private information during the process of filtering has attracted noticeable research interests. Among the current solutions, the probabilistic techniques have shown a powerful privacy preserving effect. When facing $k$ Nearest Neighbour attack, all the existing methods provide no data utility guarantee, for the introduction of global randomness. In this paper, to overcome the problem of recommendation accuracy loss, we propose a novel approach, Partitioned Probabilistic Neighbour Selection, to ensure a required prediction accuracy while maintaining high security against $k$NN attack. We define the sum of $k$ neighbours' similarity as the accuracy metric alpha, the number of user partitions, across which we select the $k$ neighbours, as the security metric beta. We generalise the $k$ Nearest Neighbour attack to beta k Nearest Neighbours attack. Differing from the existing approach that selects neighbours across the entire candidate list randomly, our method selects neighbours from each exclusive partition of size $k$ with a decreasing probability. Theoretical and experimental analysis show that to provide an accuracy-assured recommendation, our Partitioned Probabilistic Neighbour Selection method yields a better trade-off between the recommendation accuracy and system security.
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