恒定非均匀磁场调控下的强制对流传热数值研究

分别对雷诺数、磁场强度和磁纳米流体浓度进行了讨论，并将数字高程模型(DEM)应用到梯度磁场模型的建立，分析了磁场梯度大小和方向对传热效果的影响。结果表明：雷诺数、磁场强度和梯度与传热效果呈正相关，在磁场介入的情况下，磁纳米流体浓度对传热效果的影响存在一个最佳值；磁场梯度方向垂直于流动方向时对传热的强化效果最显著。以平均努塞尔数和压降为目标参数，利用正交试验设计的方法研究了各变量对传热效果影响的权重大小，得到各变量取值范围内的最佳组合。     

Application of EDXRF Method in Measurement of Fe Content in Aqueous Fe Sample

介绍了能量色散X荧光分析方法在含水Fe样品测量中的应用.用ANTG -2000型海底X荧光探测系统对含Fe为10％～60％的Fe样进行测量,建立水分对Fe元素特征K α射线影响的校正模型.结果表明,通过该模型校正,对含饱和水情况下Fe样品的分析相对误差小于4％,具有良好的分析效果.     

数字

70％ 苹果“最牛财报”同比增长 “净利润43．1亿美元，同比增长70％。”10月19日，苹果发布最新一季财报，再显吸金术。     

Different Epidemic Models on Complex Networks

Models for diseases spreading are not just limited to SIS or SIR. For instance, for the spreading of AIDS/HIV, the susceptible individuals can be classified into different cases according to their immunity, and similarly, the infected individuals can be sorted into different classes according to their infectivity. Moreover, some diseases may develop through several stages. Many authors have shown that the individuals＇ relation can be viewed as a complex network. So in this paper, in order to better explain the dynamical behavior of epidemics, we consider different epidemic models on complex networks, and obtain the epidemic threshold for each ease. Finally, we present numerical simulations for each case to verify our results.     

Influence of Selective Edge Removal and Refractory Period in a Self-Organized Critical Neuron Model

A simple model for a set of integrate-and-fire neurons based on the weighted network is introduced. By considering the neurobiological phenomenon in brain development and the difference of the synaptic strength, we construct weighted networks develop with link additions and followed by selective edge removal. The network exhibits the small-world and scale-free properties with high network efficiency. The model displays an avalanche activity on a power-law distribution. We investigate the effect of selective edge removal and the neuron refractory period on the self-organized criticality of the system.     

Pure Multiplicative Noises Induced Population Extinction in an Anti-tumor Model under Immune Surveillance

The dynamical characters of a theoretical anti-tumor model under immune surveillance subjected to a pure multiplicative noise are investigated. The effects of pure multiplicative noise on the stationary probability distribution （SPD） and the mean first passage time （MFPT） are analysed based on the approximate Fokker-Planck equation of the system in detail. For the anti-tumor model, with the multiplieative noise intensity D increasing, the tumor population move towards to extinction and the extinction rate can be enhanced. Numerical simulations are carried out to check the approximate theoretical results. Reasonably good agreement is obtained.     

Charge and Energy Dependences of Ionization and Transfer for Helium in Collisions with Fast Charged Projectiles

The classical method within the independent electron model is employed to investigate （i） charge dependences of single and double ionization for helium by various charged ions A^q＋ （q = 1 - 8） at impact energies of 0.64 and 1.44 MeV/u, respectively, （ii） energy dependences of transfer ionization for helium by 0.5-3 MeV/u A^8.9＋ ions impact. The Lenz-Jensen model of the atom is applied instead of the Bohr model of the atom, and the impact-parameter dependences are also introduced into the calculations. Satisfactory agreement is found between theoretical and experimental data.     

Asymmetric Heat Conduction in One-Dimensional Hard-Point Model with Mass Gradient

The heat conduction in a one-dimensional （1D） hard-point model with mass gradient is studied. Using numerical simulation, we find an asymmetric heat conduction in this model with greater heat current in the direction of mass increase. The increase of temperature gradient, mass gradient and system size axe found to enhance the asymmetric heat conduction. Based on the collision dynamic of a haxd-point particle, we give a qualitative explanation for the underlying mechanism of asymmetric effect.