G—M制冷机穿梭传热损失的数值计算与分析

1引言G－M制冷机自50年代末发明以来[1]，由于其结构新颖、工作可靠、寿命长，已在军工和民用部门得到广泛应用。尤其是近些年，由于新型磁性蓄冷材料的发现，随之液氦温区G－M制冷机的研制成功，更加扩大了G－M制冷机的应用前景，使得G－M制冷机的研究再次引起各国高技术领域的极大兴趣。我国液氦温区G－M制冷机的研究已隶属于国家高技术“863”计划。G－M制冷机的工作原理参见[1]。所谓穿梭传热损失是指由于制冷机的排出器（活塞）在汽缸内作往复运动，造成排出器上各点与气缸对应点之间有温差，从而热量由热端传至冷端形成的冷量损…     

Additive Temporal Coloured Noise Induced Eckhaus Instability in Complex Ginzburg-Landau Equation System

The effect of additive coloured noises, which are correlated in time, on one-dimensional travelling waves in the complex Ginzburg-Landau equation is studied by numerical simulations. We found that a small coloured noise with temporal correlation could considerably influence the stability of one-dimensional wave trains. There exists an optimal temporal correlation of noise where travelling waves are the most vulnerable. To elucidate the phenomena, we statistically calculated the convective velocities Vg of the wave packets, and found that the coloured noise with an appropriate temporal correlation can decrease Vg, making the system convectively more unstable.     

Responses of a Noisy Excitable System to External Signals with Different Periods

The behaviour of an excitable system under Gaussian white noise and external periodic forcing is systematically studied. In a large range of noise intensity, the n:l phase locking patterns are obtained for certain ranges of the input periods, where n input periods give one spike. In the phase locking regimes, the system presents low noise-to-signal ratios and shows better regularities. Out of the regimes the system behaves less regularly and the relations between the noise-to-signal ratio and the noise intensity exhibit typical stochastic resonance phenomena.At a higher noise level, the system shows the characteristic behaviour of the noise.     

节理表面波纹度对其闭合性质的影响

节理的表面形貌中普遍含有波纹度。本文分析了含波纹度节理闭合模型的性质，探讨了其接触变形机理，研究了波纹度幅值、频率及不规则度方差对节理闭合性质的效应，最后与将波纹度分量作为随机分量处理的以往的节理闭合模型进行了比较。     

粗糙核算子的加权弱(1,1)有界性

本文得到了Bochner-Ries:平均，R.} Fefferman型奇异积分，粗橄极大算子关于权}r卜的加权弱(1.1)有界性.     

Resonance in Defect Turbulence under Periodic External Force

The periodically forced spatially extended Brusselator is investigated in the chaotic regime. We explore resonant or non-resonant patterns generated under various forcing frequencies and forcing amplitudes. Resonant spatially uniform oscillation and irregular structures are found. Furthermore two types of regular spatial patterns are generated under appropriate parameters. Our results of numerical simulations demonstrate that periodic force can give rise to resonant patterns in forced systems of spatiotemporal chaos similar to the situation of forced systems of regular oscillations.     

Stochastic resonance in a financial model

We report on our model study of stochastic resonance in the stock market using numerical simulation and analysis,In the model,we take the interest rate as the external signal,the randomness of traders‘ behaviour as the noise,and the stock price as the output,With computer simulations.we find that the system demonstrates a characteristic of stochastic resonance as noise intensity varies,An analytical explanation is proposed.     

Social influence in small—world networks

We report on our numerical studies of the Axelrod model for social influence in small-world networks.Our simulation results show that the topology of the network has a crucial effect on the evolution of cultures .As the randomness of the network increases,the system undergoes a transition from a highly fragmented phase to a uniform phase.we also find that the power-law distribution at the transition point,reported by castellano et al,is not a critical phenomenon;it exists not only at the onset of transition but also for almost any control parameters,All these power-law distributions are stable against pertubations.A mean-field theory is developed to explain these phenomena.     

Noise effect in metabolic networks

Constraint-based models such as flux balance analysis (FBA) are a powerful tool to study biological metabolic networks. Under the hypothesis that cells operate at an optimal growth rate as the result of evolution and natural selection, this model successfully predicts most cellular behaviours in growth rate. However, the model ignores the fact that cells can change their cellular metabolic states during evolution, leaving optimal metabolic states unstable. Here, we consider all the cellular processes that change metabolic states into a single term `noise', and assume that cells change metabolic states by randomly walking in feasible solution space. By simulating a state of a cell randomly walking in the constrained solution space of metabolic networks, we found that in a noisy environment cells in optimal states tend to travel away from these points. On considering the competition between the noise effect and the growth effect in cell evolution, we found that there exists a trade-off between these two effects. As a result, the population of the cells contains different cellular metabolic states, and the population growth rate is at suboptimal states.     

岩体不连续间距数学模型的一个修正函数

不连续间距对岩体性质具有十分重要的意义。基于无限长测量线得到的岩体不连续间距的负幂指数分布是最重要的一种概率分布密度, 为纠正因用有限长测量线而带来的不连续间距的分布误差, 本文提出了一个封闭形式的修正函数。结果表明, 该法可显著减少不连续间距的相对误差, 从而可以采用较短的测量线来测量岩体的不连续间距。