甘薯珠心细胞衰退过程的超微结构研究

阐述了甘薯珠心细胞衰退过程中的超微结构变化。发育成熟的珠心细胞，随着胚囊的发育和扩展以不同的方式衰退。在细胞质原位自溶方式，细胞质中的核糖核蛋白体密度迅速下降；细胞中可见许多被溶解的细胞组分的碎片；细胞核的染色质团块逐渐减少，核膜消失。最后在细胞中仅剩下细胞核和淀粉粒残体。在内质网对细胞质的吞噬和分隔方式中，同心环状和平行叠置的粗糙内质网大量增生，同时槽库膨大，并对细胞质组分进行分隔和吞噬；内质网膜膨大、断裂、分解，核糖体仍然存在，原生质体对电子染料的亲和性增强；接着质膜、液泡膜消失，原生质变为电子致密的物质。     

杜仲氨基酸成份的研究

本文借助氨基酸自动分析仪对杜仲离体培养愈伤组织、树叶、树皮中氨基酸含量进行了系统研究，共检测出１６种氨基酸，其总含量为４１．４９～２０８．２２ｍｇ／ｇ，其中包括７种必需氨基酸。     

NMR中InS体系的交叉极化和各向同性混合

常规的积算符法不能获得自旋为１／２ＩｎＳ（ｎ≥２）体系的密度算符在交叉极化和各向同性混合过程随时间演化的解析解。作者提出用投影算符法解决此问题，并以Ｉ２Ｓ体系的交叉极化过程为列分析了获得无相位畸变和强度失真ＮＭＲ谱的方法。     

蔸兰立枯病原菌及颉抗菌防治的研究

本文对１３种蔸兰，２４９个发病器官进行了病原真菌的分离，共获得真菌菌株１９２个，其中立枯丝核菌（Ｒｈｉｚｏｃｌｏｎｉａｓｏｌａｎｉｋｕｈｎ）有１１８个菌株，占整个真菌菌株的６１．４５％，用分离的立枯丝核菌ＹＫ－２６２，菌株对同色蔸兰等４种蔸兰进行了回接试验，共接４２株１３８片叶，发病叶１１２片，发病率平均８８．９％，而对照为８．３％．证明立枯丝核菌是该病的病原菌。用菌丝融合法测试，确定是一个新的菌丝融合群，按国际编号定为ＺＡＧ－８群。绿色木霉菌７８菌株对该病原菌有明显的颉抗作用，初步测定对同色蔸兰立枯丝核菌的防治有效率为８８．８％～９３．３％；对长瓣蔸兰为７７．８％～８１．１％；对带叶蔸兰为７４％．     

半导体激光器行波速率方程的研究

考虑了ＩｎＧａＡｓＰ半导体激光器的俄歇效应后，对描述稳态运行的半导体激光器的行波速率方程组进行了修正，求得了隐函形式的解析解，并以此对激光器的一些重要持性进行了讨论。     

Technical Notes ：STUDIES ON THE VALUE OF SECONDARY MARKET TO THE SUPPLY CHAIN

This paper investigates the impact of a secondary market, where retailers can buy and sell excessinventories, on the supply chain. We develop a two-period model with a single manufacturer and tworetailers. At the beginning of the first period the retailers order and receive products from themanufacturer, but at the beginning of the second period, they can trade surplus products betweenthemselves in the secondary market. We investigate the impact of the correlated dependence ofretailers' demand on both the quantity effect and the allocation effect under the secondary market.Lastly,we study potential strategies for the manufacturer to increase sales with the existence of thesecondary market.     

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.     

一种评定实验教学质量与学习效果的方法研究

本文分析了实验教学评价的特殊性、复杂性与重要性。介绍了运用权重法评定实验教学效果的基本步骤方法。设计了用权重法评定实验教学质量与学习效果的两例评估计算方法。提出了还可以根据实验教学的实践性特点,用权重法设定专项评价和制作自动评价系统课件的设想。     

Subset threshold autoregression

We develop in this paper an efficient way to select the best subset threshold autoregressive model. The proposed method uses a stochastic search idea. Differing from most conventional approaches, our method does not require us to fix the delay or the threshold parameters in advance. By adopting the Markov chain Monte Carlo techniques, we can identify the best subset model from a very large of number of possible models, and at the same time estimate the unknown parameters. A simulation experiment shows that the method is very effective. In its application to the US unemployment rate, the stochastic search method successfully selects lag one as the time delay and five best models from more than 4000 choices. Copyright © 2003 John Wiley & Sons, Ltd.