折叠萝卜螺生物学初步研究

对采自南昌近郊池塘折叠萝卜螺一种群的生物学进行了初步研究，并就其贝壳的形态和其它种群作了比较，测量了210个折叠萝卜螺的壳高（H），壳宽（W）和体重（T），三者之间的关系可分别表示为：T＝0．0009H^2.632,T=0.0047W^1.8915,W=0.6899H-0.3437,在野外，折叠萝上课累在南昌地区从2－6月都能产卵，其中3－4月达高峰期，在室内3，5，6月为产卵高峰，4月几乎不产卵，折叠萝卜卵的孵化率很高，平均孵化率为95．66％，最高达100％，最低也有89．5％，幼螺的死亡率高达50％以上。     

The Synthesis of Glycoglycerolipids

A convenient synthetic route was developed for the synthesis of the novel glycolipids: 1,2-di-O-acyl-3-O-(2‘-acylamide-2‘-denxy-ct-D-glucopyranosyl)-sn-glycerols. 10 new compounds of glycolipids with different acyl groups were obtained.     

丹聂耳电池电动势产生的机理

 1836年,英国化学家丹聂耳(Daniell)发明了一种原理上最简单的化学电池,通常称之为丹聂耳电池。电动势是化学电池的一个重要的性能参数。而电动势等于单位正电荷由负极通过电池内部移到正极时电池内非静电力(化学力)所做的功。它取决于电极材料的化学性质,与电池的大小无关。因此,本文就从物理化学角度来探讨丹聂耳电池电动势产生的机理。丹聂耳电池的结构如图1所示。电池的两个电极锌板和铜板分别浸在ZnSO₄溶液和CuSO₄溶液中。     

重离子治疗计划系统的构想

对重离子柬治癌的优势进行简要的回顾，并着重介绍了用于重离子放射治疗的治疗计划系统。治疗计划系统是一套软件系统，不同的硬件设施应有与其相匹配的软件系统，即治疗计划系统。在此基础上，针对兰州重离子加速器的特点提出一些关于治疗计划系统方面的构想。After a brief review concerning the advantages of heavy ions in radiotherapy, more interests are concentrated on treatment planning system （TPS） for heavy ion radiotherapy. Compared to the hardware devices such as accelerator and beam delivery system, the TPS is a set of software system, and different therapy facilities require their corresponding TPSs. Based on the specialities of the Heavy Ion Research Facility in Lanzhou （HIIRFL）, some suggestions on the TPS for tumor therapy at HIRFL finally are given.     

外来的捕食物种对濒危物种的影响

In this paper, an important problem arising from conservation biology is considered. Namely, how does the introduced species affect the survival of a native endangered species through predation? By using Kamke comparison theorem and some results in Cui and Chen‘s paper (1998), some sufficient conditions that guarantee the permanence of the species and global stability of a unique positive periodic solution are obtained. Biological implication of these results are discussed.     

Synchronizing Complex Networks by an Adaptive Adjustment Mechanism

We propose an adaptive adjustment mechanism for synchronizing complex networks, in particular for sociological or/and biological systems. We do not take it for granted that a dynamical system is put on isolated nodes and they are coupled with each other by one （or more） variable（s）, as employed in most previous models. As a replacement, we suppose that each node may have any finite number of possible states, and their evolutions with time are determined by their nearest-neighbouring （or even second-nearest-neighbouring, etc） nodes in an adaptive adjustment mechanism. It is found that synchronization can be achieved for almost all connected networks and that the scale-free property can evidently improve the synchronizing speed.