提高大学生信息素养水平的途径

从社会、学校、家庭和大学生自身4个方面提出了提高大学生信息素养水平的建议。     

网络少数民族医学信息资源的整合与利用

介绍了网络少数民族医学信息资源的现状及对中国少数民族医学信息资源进行整合的必要性,并探讨了对网络少数民族医学信息资源进行整合与利用的方式。     

浅析经济文献信息的开发和利用

分析了经济文献信息专业化的特征,介绍了经济文献信息的检索原则、类型和途径,探讨了经济文献信息的需求。     

信息技术与传统实验教学整合的探讨

以HPCI 1型物理实验计算机辅助教学系统为例 ,论述了信息技术和传统实验的结合及新型教学模式的构建     

对英语专业八级口语口译考试评分的探讨

本文通过对英语专业八级口语口译考试的评分标准的考察，指出八级口语口译考试评分中两个突出的特点，即突出口语考试和口译考试评分“信息单元化”，从而影响口译质量评估的有效性。适当改变评分比例和口译评分标准的改进将有助于改善测评效果。     

Pensions modelling

Valuable insights into the problem of how to fund defined benefitpension schemes can be obtained by analysis using the standardBlack–Scholes/Merton option pricing model, consideringthe pension fund finances jointly with those of the sponsoringcompany. The nature of the fund assets and liabilities is completelydifferent, and this lies behind current controversies aboutthe appropriate discount rate, valuation, financial accountingand preferential status for pension fund claimants in insolvency.     

Positive value of information in games

We exhibit a general class of interactive decision situations in which all the agents benefit from more information. This class includes as a special case the classical comparison of statistical experiments à la Blackwell. AMS 2000 Subject Classification:Primary 91A35.The work of Bruno Bassan and Marco Scarsini was partially supported by MIUR-COFIN. The authors express their thanks to Sylvain Sorin for enlightening comments.     

论建立煤矿技术档案管理信息系统

分析了工程技术档案管理工作的现状,从设计思路、软件开发等方面介绍了煤矿技术档案数据库系统。     

Rough隶属函数关于集合并与交的一种高精度计算方法

近些年来，许多处理近似问题的方法陆续被提出，其中利用Rough集理论计算两个集合的并和交的Rough隶属函数方法是被用较多的一种方法，但毕竟该方法精度较差。为此，介绍了一种精度较高的计算两个集合的并和交的Rough隶属函数方法，它克服了前者利用Rough集理论计算Rough隶属函数的复杂性，而迎来了简单和高精度的特点。     

Information processing,memories, and synchronization in chaotic neural network with the time delay

Information processing and two types of memory in an analog neural network model with time delay that produces chaos similar to the human and animal EEGs are considered. There are two levels of information processing in this neural network: the level of individual neurons and the level of the neural network. Similar to the state of brain, the state of chaotic neural network is defined. It is characterized by two types of memories (memory I and memory II) and correlation structure between the neurons. In normal (unperturbed) state, the neural network generates chaotic patterns of averaged neuronal activities (memory I) and patterns of oscillation amplitudes (memory II). In the presence of external stimulation, the activity patterns change, showing changes in both types of memory. As in experiments on stimulation of the brain, the neural network model shows synchronization of neuronal activities due to stimulus measured by Pearson's correlation coefficient. An increase in neural network asymmetry (increase of the neural network excitability) leads to the phenomenon similar to the epilepsy. Modeling of brain injury, Parkinson's disease, and dementia is performed by removing and weakening interneuron connections. In all cases, the chaotic neural network shows a decrease of the degree of chaos and changes in both types of memory similar to those observed in experiments with healthy human subjects and patients with Parkinson's disease and dementia. © 2005 Wiley Periodicals, Inc. Complexity 11:39–52, 2005