Non-Uniform Doo-Sabin Subdivision Surface via Eigen Polygon

This paper constructs a new non-uniform Doo-Sabin subdivision scheme via eigen polygon.The authors proved that the limit surface is always convergent and is G1 continuous for any valence and any positive knot intervals under a minor assumption, that λ is the second and third eigenvalues of the subdivision matrix. And then, a million of numerical experiments are tested with randomly selecting positive knot intervals, which verify that our new subdivision scheme satisfies the assumption.However this is not true for the other two existing non-uniform Doo-Sabin schemes in Sederberg, et al.(1998), Huang and Wang(2013). In additional, numerical experiments indicate that the quality of the new limit surface can be improved.     

硅压力传感器基座受力变形时的输出性能

为分析硅压力传感器基座受力变形对传感器输出性能的影响,首先利用弹性力学理论和板壳理论分析推导了压力传感器方形膜片应力分布,为力敏电阻在应变膜上的布置提供依据;再利用ANSYS进行分析模拟,探究了传感器基座结构变形对应变膜应力差的影响;然后针对减小基座受力变形对芯片受力的影响,对基座结构进行适当优化,并对比仿真分析的结果;最后通过实验测得优化前后的传感器输出数据.结果表明,传感器基座结构优化后,传感器硅芯片中心最大变形量从2.172μm降低到1.819μm,输出误差从0.95%下降到0.60%.     

Determination of surface topography of biological specimens at high resolution by scanning tunnelling microscopy

Although techniques are available for the determination of the three-dimensional structure of biological specimens, for example scanning electron microscopy, they all have some serious drawback, such as low resolution, the requirement for crystals or for the sample to be analysed in a high vacuum. In an attempt to develop a technique for high-resolution three-dimensional structure analysis of non-crystalline biological material, we have tested the applicability of scanning tunnelling microscopy (STM), a method that has been used successfully in the analysis of metal and semiconductor surface structures. We report here that scanning tunnelling electron microscopy can be used to determine the surface topography of biological specimens at atmospheric pressure and room temperature, giving a vertical resolution of the order of 1 A. Our results show that quantum mechanical tunnelling of electrons through biological material is possible provided that the specimen is deposited on a conducting surface.     

A Metaheuristic Approach to Optimize European Call Function with Boundary Conditions

The purpose of this paper is to investigate the pricing European call option valuation problems under the exercise price,maturity,risk-free interest rate,and the volatility function. An advance methodology,Chebyshev simulated annealing neural network(Ch SANN),is enforced for the Black-Scholes(B-S) model with boundary conditions. Our scheme is stable and easy to implement on B-S equation,for arbitrary volatility and arbitrary interest rate values. Also,the comparative results demonstrate that the attained approximate solutions are converging towards the exact solution. The graphical results show that the increasing flow of the European call option as the exponential increase takes place in assets. The presented algorithm can be further applied to other financial models with certain boundary conditions. The algorithm of the method shows that the approach can also be easily employed on time-fractional B-S equation.     

Programming the magnitude and persistence of antibody responses with innate immunity

Many successful vaccines induce persistent antibody responses that can last a lifetime. The mechanisms by which they do so remain unclear, but emerging evidence indicates that they activate dendritic cells via Toll-like receptors (TLRs). For example, the yellow fever vaccine YF-17D, one of the most successful empiric vaccines ever developed, activates dendritic cells via multiple TLRs to stimulate proinflammatory cytokines. Triggering specific combinations of TLRs in dendritic cells can induce synergistic production of cytokines, which results in enhanced T-cell responses, but its impact on antibody responses remain unknown. Learning the critical parameters of innate immunity that program such antibody responses remains a major challenge in vaccinology. Here we demonstrate that immunization of mice with synthetic nanoparticles containing antigens plus ligands that signal through TLR4 and TLR7 induces synergistic increases in antigen-specific, neutralizing antibodies compared to immunization with nanoparticles containing antigens plus a single TLR ligand. Consistent with this there was enhanced persistence of germinal centres and of plasma-cell responses, which persisted in the lymph nodes for >1.5 years. Surprisingly, there was no enhancement of the early short-lived plasma-cell response relative to that observed with single TLR ligands. Molecular profiling of activated B cells, isolated 7 days after immunization, indicated that there was early programming towards B-cell memory. Antibody responses were dependent on direct triggering of both TLRs on B cells and dendritic cells, as well as on T-cell help. Immunization protected completely against lethal avian and swine influenza virus strains in mice, and induced robust immunity against pandemic H1N1 influenza in rhesus macaques.     

Transient and constitutive repression of cytoplasmic translation signaling in cells with mtDNA mutation

Cytoplasmic translation is under sophisticated control but how cells adapt its rate to constitutive loss of mitochondrial oxidative phosphorylation is unknown. Here we show that translation is repressed in cells with the pathogenic A3243G mtDNA mutation or in mtDNA-less ρ⁰ cells by at least two distinct pathways, one transiently targeting elongation factor eEF-2 and the other initiation factor eIF-2α constitutively. Under conditions of exponential cell growth and mammalian target of rapamycin (mTOR) activation, eEF-2 becomes transiently phosphorylated by an AMP-activated protein kinase (AMPK)-dependent pathway, especially high in mutant cells. Independent of AMPK and mTOR, eIF-2α is constitutively phosphorylated in mutant cells, likely a signature of endoplasmic reticulum (ER)-stress response induced by the loss of oxidative phosphorylation. While the AMPK/eEF-2K/eEF-2 pathway appears to function in adaptation to physiological fluctuations in ATP levels in the mutant cells, the ER stress signified by constitutive protein synthesis inhibition through eIF-2α-mediated repression of translation initiation may have pathobiochemical consequences. Received 29 October 2008; received after revision 11 December 2008; accepted 16 December 2008     

Ad Hoc网络中基于模拟退火-蚁群算法的QoS路由发现方法

针对Ad Hoc网络的动态网络环境和链路、节点性能限制等不利因素，提出了一种新的QoS路由发现方法——SAANT．该方法利用蚁群算法增加了发现可用QoS路由的概率，利用基于概率的路由转发策略来减少洪泛造成的网络开销，从而强化所提算法的全局搜索能力和自适应性，减小了洪泛对Ad Hoc网络性能的影响．所提方法还利用模拟退火算法调整路由发现算法的搜索方向，以弥补蚂蚁算法收敛速度上的弱点，减少了搜索过程中的停滞现象．在包投递成功率、平均包延迟和吞吐量等方面，通过仿真实验对SAANT、仅基于蚁群算法的QoS路由算法和传统的按需路由算法的方法进行了性能比较，结果表明，在Ad Hoc网络环境下，SAANT的收敛速度、移动性能和网络负载性能均表现出更好的适应性．     

基于Petri网的TCP协议异常检测模型

从面向连接的角度出发，以Petri网为工具，建立了TCP协议异常检测模型．该模型以TCP协议的状态变迁图为基础，并根据协议规范可对传输报文的标志位进行系统的分析，从而识别出标志位非法组合构成的畸形报文（FIN—RST报文）．模型中规定了各种状态下可接收的标志位集合，同时还细化了各状态下的超时异常，据此可准确地检测出各种异常，以抵御已知和未知的非法行为．利用该模型不仅可发现已知异常事件，还可对未知漏洞进行防范．通过实验发现，网络中的错误标志位报文、端口扫描以及DOS攻击产生的异常流量将占到总流量的10%以上．