A study of macromolecular diffusion through native porcine mucus.

A diffusion chamber technique based on time-lag analysis for the estimation of effective diffusion coefficients of radiolabelled macromolecules of varying molecular weights through native mucus gel is reported. For all solutes studied, a reduction in effective diffusion coefficients was observed with a retardation of solute flux in both aqueous and mucus layers. Over the molecular weight range of solutes investigated (126-186,000 Daltons), a consistent effect of molecular weight was evident with regard to the retarding effect of mucus. No apparent or absolute molecular weight cut-off for macromolecular transfer was exhibited. However, at high molecular weights (greater than 30,000 Daltons) the retardation was greatly enhanced. The results confirm that mucus can be regarded as a gel with finite pores, but that it does not constitute an absolute barrier to even high molecular weight solutes.     

圆电流平面内磁场分布的测量

本文设计了一个测量圆电流平面内磁场分布的实验,实验结果与理论计算能很好地吻合。从而证明该实验设计是可行的。     

冶炼工业废气中SO_2的脱除研究

研究用软锰矿的水悬浮液脱除冶炼工业废气中SO_2的工艺可行性,提出抑制副产物MnS_2O_6生成的途径。     

利用MAX813L防止应用程序出现死循环故障

介绍了利用CPU监控芯片MAX813L防止应用程序出现死循环的方法，使用表明该方法是可行的。     

甘肃产马先蒿属植物分种检索表

本文对甘肃产马先蒿属５２种、７亚种、６变种和１变型列了分种检索表，并在括号内记载了产地，为开发该属资源提供依据。     

广义分布空间中卷积算子可解之充要条件

Ｅｈｒｅｎｐｒｅｉｓ及Ｈｏｒｍａｎｄｅｒ在Ｓｃｈｗａｒｔｚ缓增分布空间中讨论了卷积算子的可解。本文充分利用Ｂｅｕｒｌｉｎｇ广义分布空间中的Ｆｏｕｒｉｅｒ－Ｌａｐｌａｃｅ变换的性质，在Ｂｅｕｒｌｉｎｇ广义分布空间中讨论了卷积算子可解的几个等价条件，进而导出了卷积算子可解的充要条件，并推广了Ｈｏｒｍａｎｄｅｒ的某些结果     

基于弯曲路径的复杂温度场重建算法仿真研究

以最小二乘法温度场图像重建算法为基础以费尔马定理为依据，对声学法工业炉温度场检测中由于声波传播路径弯曲对温度场重建所产生的影响进行了研究，给出一种实现声波路径弯曲补偿的复杂温度场重建算法，通过仿真，考察了该算法对不同温度场分布函数的重建效果，结果表明：该算法不但可实现声波路径弯曲的补偿，而且可同时进行温度场的重建，具有较高的重建精度。     

联合作战仿真应用中的想定系统框架

想定是军事活动的产物，随之成为军事仿真领域不可缺少的重要组成部分，其地位在仿真发展中显得日益重要，想定模型是想定在军事仿真中想定的数字化表述，想定系统是支撑想定模型的软件系统，本文就联合作战仿真应用中的对想定模型和想定系统提出的要求进行探讨，提出适合这种应用的基于一致的想定数据模型的想定系统的功能描述和系统框架。     

Non-Minimum Phase Nonlinear System Predictive Control Based on Local Recurrent Neural Networks

Abstract: After a recursive multi-step-ahead predictor for nonlinear systems based on local recurrent neural networks isintroduced, an intelligent PID controller is adopted to correct the errors including identified model errors and accumulatederrors produced in the recursive process. Characterized by predictive control, this method can achieve a good controlaccuracy and has good robustness. A simulation study shows that this control algorithm is very effective.