A Novel Method of Sentence Ordering Based on Support Vector Machine

PACLIC 23 / City University of Hong Kong / 3-5 December 200

Ontology based cooperative intrusion detection system

Abstract. As malicious intrusions span sites more frequently, network security plays the vital role in internet. Intrusion detection system(IDS) is expected to provide powerful protection against malicious behaviors. However, high false negative and false positive prevent intrusion detection system from practically using. After survey of present intrusion detection systems, we believe more accurate and efficient detection result can be obtained by using multi-sensor cooperative detection. To aiding cooperative detection, an ontology consisting of attribute nodes and value nodes is presented after analysis of IDSs rules and various classes of computer intrusions. On the basis of ontology, a matchmaking method is given to improve flexibility of detection. Cooperative detection framework based on the ontology is also discussed. The ontology proposed in paper has two advantages. First, it makes the detection more flexible and second it provides global locality information to support cooperation

Game and Balance Multicast Architecture Algorithms for Sensor Grid

We propose a scheme to attain shorter multicast delay and higher efficiency in the data transfer of sensor grid. Our scheme, in one cluster, seeks the central node, calculates the space and the data weight vectors. Then we try to find a new vector composed by linear combination of the two old ones. We use the equal correlation coefficient between the new and old vectors to find the point of game and balance of the space and data factorsbuild a binary simple equation, seek linear parameters, and generate a least weight path tree. We handled the issue from a quantitative way instead of a qualitative way. Based on this idea, we considered the scheme from both the space and data factor, then we built the mathematic model, set up game and balance relationship and finally resolved the linear indexes, according to which we improved the transmission efficiency of sensor grid. Extended simulation results indicate that our scheme attains less average multicast delay and number of links used compared with other well-known existing schemes

In situ structures of RNA-dependent RNA polymerase inside bluetongue virus before and after uncoating.

Bluetongue virus (BTV), a major threat to livestock, is a multilayered, nonturreted member of the Reoviridae, a family of segmented dsRNA viruses characterized by endogenous RNA transcription through an RNA-dependent RNA polymerase (RdRp). To date, the structure of BTV RdRp has been unknown, limiting our mechanistic understanding of BTV transcription and hindering rational drug design effort targeting this essential enzyme. Here, we report the in situ structures of BTV RdRp VP1 in both the triple-layered virion and double-layered core, as determined by cryo-electron microscopy (cryoEM) and subparticle reconstruction. BTV RdRp has 2 unique motifs not found in other viral RdRps: a fingernail, attached to the conserved fingers subdomain, and a bundle of 3 helices: 1 from the palm subdomain and 2 from the N-terminal domain. BTV RdRp VP1 is anchored to the inner surface of the capsid shell via 5 asymmetrically arranged N termini of the inner capsid shell protein VP3A around the 5-fold axis. The structural changes of RdRp VP1 and associated capsid shell proteins between BTV virions and cores suggest that the detachment of the outer capsid proteins VP2 and VP5 during viral entry induces both global movements of the inner capsid shell and local conformational changes of the N-terminal latch helix (residues 34 to 51) of 1 inner capsid shell protein VP3A, priming RdRp VP1 within the capsid for transcription. Understanding this mechanism in BTV also provides general insights into RdRp activation and regulation during viral entry of other multilayered, nonturreted dsRNA viruses

Discovery and structural characterization of a therapeutic antibody against coxsackievirus A10

9月20日，《科学》子刊《科学•进展》（Science Advances）刊出了我校夏宁邵教授团队发表的题为“Discovery and structural characterization of a therapeutic antibody against coxsackievirus A10”的研究论文。该研究首次发现手足口病重要病原体柯萨奇病毒A组10型（CVA10）不同类型病毒颗粒共有的优势中和表位，揭示了病毒颗粒及其与优势中和抗体复合物的精确三维结构，阐明了中和抗体的功能与作用机制，为新型疫苗和治疗药物的研制提供了重要的理论基础。 该研究首次揭示并描绘了CVA10的病毒颗粒及其优势中和表位的精确特征，发现了具有良好应用潜能的治疗性中和抗体，为新型疫苗和特异性治疗药物的研究提供了关键基础。 我校夏宁邵教授、程通副教授和美国加州大学洛杉矶分校纳米系统研究所Z. Hong Zhou（周正洪）教授、美国加州大学圣地亚哥分校颜晓东博士为该论文的共同通讯作者。我校博士生朱瑞、徐龙发博士后、郑清炳工程师、李少伟教授和美国加州大学洛杉矶分校崔彦祥博士后为该论文共同第一作者。【Abstract】Coxsackievirus A10 (CVA10) recently emerged as a major pathogen of hand, foot, and mouth disease and herpangina in children worldwide, and lack of a vaccine or a cure against CVA10 infections has made therapeutic antibody identification a public health priority. By targeting a local isolate, CVA10-FJ-01, we obtained a potent antibody, 2G8, against all three capsid forms of CVA10. We show that 2G8 exhibited both 100% preventive and 100% therapeutic efficacy against CVA10 infection in mice. Comparisons of the near-atomic cryo–electron microscopy structures of the three forms of CVA10 capsid and their complexes with 2G8 Fab reveal that a single Fab binds a border region across the three capsid proteins (VP1 to VP3) and explain 2G8’s remarkable cross-reactivities against all three capsid forms. The atomic structures of this first neutralizing antibody of CVA10 should inform strategies for designing vaccines and therapeutics against CVA10 infections.This work was supported by grants from the National Science and Technology Major Projects for Major New Drugs Innovation and Development (2018ZX09711003-005-003), the National Science and Technology Major Project of Infectious Diseases (2017ZX10304402-002-003), the National Natural Science Foundation of China (31670933 and 81801646), and the National Institutes of Health (R37-GM33050, GM071940, DE025567, and AI094386). We acknowledge the use of instruments at the Electron Imaging Center for Nanomachines supported by the University of California, Los Angeles and by instrumentation grants from NIH (1S10RR23057 and 1U24GM116792) and NSF (DBI-1338135 and DMR-1548924). 该研究获得了国家自然科学基金、新药创制国家科技重大专项、传染病防治国家科技重大专项和美国国立卫生研究院基金的资助

Next-generation in vivo optical imaging with short-wave infrared quantum dots

The short-wavelength infrared region (SWIR; 1000—2000 nm) provides several advantages over the visible and near-infrared regions for in vivo imaging. The general lack of autofluorescence, low light absorption by blood and tissue, and reduced scattering can render a mouse translucent when imaged in the SWIR region. Despite these advantages, the lack of a versatile emitter platform has prevented its general adoption by the biomedical research community. Here we introduce high-quality SWIR-emitting core/shell quantum dots (QDs) for the next generation of in vivo SWIR imaging. Our QDs exhibit a dramatically higher emission quantum yield (QY) than previously described SWIR probes, as well as a narrow and size-tunable emission that allows for multiplexing in the SWIR region. To demonstrate some of its capabilities, we used this imaging platform to measure the heartbeat and breathing rates in awake and unrestrained mice, as well as to quantify the metabolic turnover rates of lipoproteins in several organs simultaneously in real time in mice. Finally, we generate detailed three-dimensional quantitative flow maps of brain vasculature by intravital microscopy and visualize the differences between healthy tissue and a tumor in the brain. In conclusion, SWIR QDs enable biological optical imaging with an unprecedented combination of deep penetration, high spatial resolution, and fast acquisition speed

The stabilization and release performances of curcumin-loaded liposomes coated by high and low molecular weight chitosan

A comprehensive stability evaluation for curcumin-loaded liposomes (Cur-LP) coated by low (LCS) or high (HCS) molecular weight chitosan with three gradient concentrations (L: low; M: medium; H: high) was the main objective of this study. Apart from leading to a higher encapsulation efficiency (>90%), all chitosan-coated Cur-LP displayed an improved stability with respect to resistant to salt, sunlight, heat, accelerated centrifugation and long-term storage at 4 °C. Increasing the molecular weight and concentration of chitosan could effectively improve the stability of Cur-LP, in which HCS-H coatings displayed the best performance. According to the fluorescence probe analysis, the mechanical reinforcement of liposomes and the concomitant reduction in membrane fluidity accounts for the major contribution to vesicle stability. Secondly, a simulated digestion model was used to prove the applicability of sustained curcumin release, achieved by adjusting the molecular weight and concentration of the chitosan stabilizer for Cur-LP. The results of this study show that high molecular weight chitosan used at relatively high concentrations, is a promising coating material for improving the stability and sustained release of Cur-LP in vitro