国内项目知识管理研究进展

本文通过对国内项目知识管理相关研究文献的筛选、整理与分类，回顾了国内学者对项目知识的含义的探讨；从多个视角归纳分析了国内学者对项目知识管理的不同内容和应用领域的研究现状；并指出对项目知识管理信息化的研究还有很大的发展空间。     

企业知识管理的多阶段优化模型研究

为成功实践企业知识管理，在知识管理优化模型构建及分析的基础上，指出了企业知识管理决策选择的重要性，解析了影响企业知识管理决策选择的相关因素，并对其进行了研究，进而从知识管理战略和知识型员工的管理两方面提出了相应的知识管理方案。     

基于Logistic的项目型组织知识流动与和谐共生模型

分析项目型组织知识流动的两种模式,针对项目型组织知识冲突与共享悖论,引入和谐管理理论界定了项目型组织知识和谐性概念。在此基础上,将项目型组织知识和谐分为组织与个人知识和谐、个人与个人知识和谐两类,以个人与项目型组织的知识存量变化作为研究这项目型组织和谐性的切入点,基于Logistic模型建立了项目型组织知识和谐共生模型及稳定性算法。最后仿真模拟了组织与个人、个人与个人知识存量变化趋势,提出相应的策略以保证项目型组织的知识和谐共生。     

国外企业知识管理论析

何谓企业知识管理？这就是：对企业的全部知识－隐性知识和显性知识，对企业知识活动的各个环节－知识创新，存储，交流，共享，使用和增值，实施科学运作和有效管理，运速提高企业的经营业绩 和经济社会效益，反企业管理推进到计算机网络化和知识网络化管理的崭新阶段。     

面向复杂产品系统创新的知识管理系统模型研究

复杂产品系统创新具有多主体知识联盟共同开发和制造,设计高密集性、产品复杂性、生产不确定性的特点.知识管理系统有利于复杂产品系统创新中知识的共享、利用和扩散.在知识管理系统模型研究成果的基础上,构建了基于过程导向的知识链与创新流相结合,以实现知识战略为目标,技术、文化、组织体系为支撑的知识管理系统.明确知识管理战略、把知识管理融入创新流程、创建知识共享文化和激励机制、运行并不断改进系统等策略有利于KMS的实施.     

专利管理在企业知识管理中的应用

企业是技术创新主体.专利是技术创新的重要产出.因此,专利资产是企业重要的战略性资产,有效的专利管理是企业知识管理的重要组成.本文比较了当前国外企业专利管理的几种基本模式与组织架构,分析了各自优劣及适用条件,并探讨了专利情报分析在企业专利管理中的重要应用.     

智能知识平台的构想及其实现

本文根据人们对知识的需求和使用方式，提出了智能知识平台的设想，并阐述了智能知识平台的基本构成和应有的基本功能，最后通过一个实例进行了说明。     

NP问题的常数轮知识的零知识证明系统

文中研究在标准复杂性假设下NP问题的常数轮知识的零知识证明系统的存在性问题.利用一种特殊的交互证明模式,在因子分解的困难性假设下,给出了NP问题的一个3轮的知识的零知识证明系统.文中给出的证明系统不仅肯定了NP问题的常数轮知识的零知识证明系统的存在性,同时也是对(NP问题的)3轮零知识证明系统的存在性这一公开问题的一个肯定性答复.     

概念格的属性约简理论与方法

概念格理论是一种有效的知识表示与知识发现的工具，已被成功应用于许多领域．知识发现的一个重要方面是知识约简．提出了概念格的属性约简理论，进一步扩充了概念格理论．给出了概念格约简的判定定理；引入了形式背景的可辨识属性矩阵，并在此基础上得到了寻找约简的方法；同时，给出了概念格不同类型属性的特征。     

知识表达的分维度量理论

对定量分析、研究知识表达进行了尝试，从分维认识论角度出发，结合分维理论，使用信息论中的信息度量原理和方法，对知识表达的信息量、熵等一系列信息度量特征进行了研究，进而对知识表达的最大熵原理、熵增原理进行了探讨。     

OWL2QL存储与应用

通过对OWL2语法结构和推理方式的分析,提出OWL2基本元素和公理在关系数据库中的存储结构和推理实现方式.将部分推理结果在数据库中进行存储,提高了本体存储和推理的效率,并能对大规模的本体进行存储.通过构建知识管理平台验证了该存储方式的有效性.     

Modelling the daily banknotes in circulation in the context of the liquidity management of the European Central Bank

The main focus of this paper is to model the daily series of banknotes in circulation. The series of banknotes in circulation displays very marked seasonal patterns. To the best of our knowledge the empirical performance of two competing approaches to model seasonality in daily time series, namely the ARIMA‐based approach and the Structural Time Series approach, has never been put to the test. The application presented in this paper provides valid intuition on the merits of each approach. The forecasting performance of the models is also assessed in the context of their impact on the liquidity management of the Eurosystem. Copyright © 2008 John Wiley & Sons, Ltd.     

基于企业生命周期的中小企业人力资源管理研究

随着知识经济时代的到来,人才成为企业获取竞争优势的关键,如何通过人力资源管理促进企业成长日益成为中小企业经营管理者关注的焦点。中小企业人力资源管理不正规、临时性和非专业化的特征使其成长过程有着自身的特殊性。本文通过文献总结,归纳了目前的研究进展;在中国情境下,从中小企业生命周期的视角,分析了我国中小企业人力资源管理成长的需求和现状;最后对中小企业人力资源成长三阶段面临的问题分别提出了应对建议。     

Type I IFN-mediated regulation of IL-1 production in inflammatory disorders

Although contributing to inflammatory responses and to the development of certain autoimmune pathologies, type I interferons (IFNs) are used for the treatment of viral, malignant, and even inflammatory diseases. Interleukin-1 (IL-1) is a strongly pyrogenic cytokine and its importance in the development of several inflammatory diseases is clearly established. While the therapeutic use of IL-1 blocking agents is particularly successful in the treatment of innate-driven inflammatory disorders, IFN treatment has mostly been appreciated in the management of multiple sclerosis. Interestingly, type I IFNs exert multifaceted immunomodulatory effects, including the reduction of IL-1 production, an outcome that could contribute to its efficacy in the treatment of inflammatory diseases. In this review, we summarize the current knowledge on IL-1 and IFN effects in different inflammatory disorders, the influence of IFNs on IL-1 production, and discuss possible therapeutic avenues based on these observations.     

Genera and species vs. laws of nature two epistemic frameworks and their respective ideal worlds

This paper seeks to exhibit and explain, by way of comparison, two ideal kinds of knowledge: knowledge based on classifications according to genera and species, as in Aristotelianism and common sense, and scientific knowledge based on the application of laws of nature. I will proceed by attempting (1) to determine the role that presuppositions play in knowledge in general by means of the distinction between content and form; (2) to describe and explain the main features of both ideal forms of knowledge; and, finally, (3) to analyze the relation between these two forms of knowledge as it is presented in Eddington's celebrated discussion of the “two tables”. I will be critical of the widespread view that modern science is the correct form of knowledge, and that common sense is merely an illusion.     

Gaucher disease: Perspectives on a prototype lysosomal disease

Gaucher disease is an autosomal recessive trait and the most common lysosomal storage disease. The pathogenesis evolves from the diminished activity of the lysosomal hydrolase, acid beta-glucosidase and the resultant accumulation of glucosylceramide within lysosomes. The pathogenic mechanisms are poorly understood. During the past 2 decades, progress has been made in understanding the biochemical basis and molecular biology of the disease, but more fundamental knowledge is required to relate these advances to the cell and whole body phenotypes. Despite this lack of understanding, enzyme replacement therapy has proved a successful and effective management for Gaucher disease. However, basic details of this therapeutic efficacy require elucidation. Here, we review the current state of the molecular pathogenesis and provide our perspective of some major issues for continued advances in this prototype lysosomal storage disease.     

Values in early-stage climate engineering: The ethical implications of “doing the research”

Calls for research on climate engineering have increased in the last two decades, but there remains widespread agreement that many climate engineering technologies (in particular, forms involving global solar radiation management) present significant ethical risks and require careful governance. However, proponents of research argue, ethical restrictions on climate engineering research should not be imposed in early-stage work like in silico modeling studies. Such studies, it is argued, do not pose risks to the public, and the knowledge gained from them is necessary for assessing the risks and benefits of climate engineering technologies. I argue that this position, which I call the “broad research-first” stance, cannot be maintained in light of the entrance of nonepistemic values in climate modeling. I analyze the roles that can be played by nonepistemic political and ethical values in the design, tuning, and interpretation of climate models. Then, I argue that, in the context of early-stage climate engineering research, the embeddedness of values will lead to value judgments that could harm stakeholder groups or impose researcher values on non-consenting populations. I conclude by calling for more robust reflection on the ethics and governance of early-stage climate engineering research.     

Nuclear science and technology in the Malaysian context: Three phases of technoscientific knowledge transfer (ETTLG)

This essay considers the development of the nuclear science programme in Malaysia from a transnational perspective by examining the interactions between state agents and other external nuclear-knowledge/technology related actors and agents. Going beyond the model of knowledge diffusion that brings together concerns articulated in Harris’s (2011) geographies of long distance knowledge and Reinhardt's (2011) role of the expert in knowledge transfer, the proposed three-phase model of knowledge transfer theorises the pathways undertaken by a late-blooming participant of modern science and technology as the latter moves from epistemic dependency to increasing independence despite the hurdles encountered, and the underdevelopment of many areas of its technoscientific economy. The model considers tensions stemming from the pressures of expediency for meeting national developmental goals on the one side, and the call to support the objectives of basic science on the other. The three phases of the model are epistemic transition, epistemic transplantation and localisation, and epistemic generation (ETTLG). As additional support for the proposed model, three arguments are proffered as deeper explanations of the epistemic goal by using Malaysia as a case study: knowledge transfer for political legitimization, knowledge transfer for countering agnotology, and knowledge transfer for social engineering and science diplomacy.