基于认识化学正向价值的教学实践——以“二氧化碳*”为例

模拟大型科普求真类节目《是真的吗？》创设学习氛围;通过基于生活生产实际的“日常灭火可否用N₂代替CO₂”“深海捕获CO₂可否调控温室效应”“石油采矿业中,向油井下注射1吨CO₂可否增产原油3~5吨”“用石灰水可否保鲜鸡蛋”等4个核心问题及3个真假难辨的小问题,引导学生从化学的正向视角深刻认识二氧化碳的性质;利用移动磁贴板设计板书,引导学生经历并建构结构化知识体系。     

基于伙伴关系建构的联盟标准扩散效应

在技术标准扩散动机下,为技术标准联盟设计了一种“以公共供应商为结构洞的、由上下游企业共同组成的三元伙伴结构,分析了这种伙伴结构对于技术标准扩散的影响方式以及有效性,并讨论了共赢结果的实现条件以及稳定性,从而从技术标准联盟内部伙伴关系建构的角度,提出了新的内源性技术标准扩散机制。研究结论主要有三个:第一,技术标准联盟中以公共供应商为结构洞的长期性上下游伙伴结构对于加速技术标准扩散具有内源性促进作用,贡献度取决于以结构洞为中介的双向知识流动比率的大小;第二,共赢结果的实现条件为:三方伙伴同时遵守关于双向知识流动比率的临界值;第三,共赢结果的稳定性取决于供应商与生产商之间的技术相似程度以及生产商专有知识的价值性等因素,而且上下游伙伴之间的技术相似度越高,则供应商对于合作均衡稳定性的决定作用就越大于生产商。     

知识共享与间接互惠:基于计算实验方法的研究

团队中,个体知识共享行为的回报往往来自第三方而非受助者,而以直接互惠为视角的知识共享研究却不足以解释此类现象。采用基于计算机仿真实验方法,通过赋予Agent记忆、推理、决策和沟通等能力,研究受表型背叛、组织信任氛围及声誉传播机制影响下,间接互惠机制对团队大范围知识共享行为的维系机理。研究发现,由于辨别者的存在,即使无条件共享者会成为绝对多数,隐藏者并不会大量侵入群体。这意味着间接互惠机制维系了团队大范围知识共享行为。在低的组织信任氛围水平下,辨别者和隐藏者虽然能够共存,团队内的知识共享行为却没有出现。即使只有少数成员能观察到周围同事的知识共享行为,只要声誉信息能够有效传播,间接互惠对广泛知识共享行为的维系作用就能够发挥。     

基于“政策关系”的政策知识体系论纲

公共政策知识体系的根本功能在于解释政策与政策效能之间的关系。西方公共政策知识体系构建由于受到联邦制、地方分权制和任期制的约束,选择了以“政策过程”为研究对象、以“权力结构”为分析单位,建构了政策阶段论与反阶段论知识体系,主要用来理解和解释某一层级政府或某一个部门的政策形成的原因。这一知识体系虽然有相当好的理解力和解释力,但是不能完全理解和解释中国政策实践。中国是单一制国家,实行中央集权制度和干部体制等,政策体系完整,注重政策间关联,厘清政策关系成为中国公共政策解决实践问题的前提。因此,要理解和解释中国公共政策,需要以“政策关系”为研究对象、以“责任结构”为分析单位建构起中国特色的政策知识体系,这应是中国公共政策研究的一项重要任务。     

一个数学建模问题的简单解法

银行利率给出了一个简单计算方法 ,这种方法更符合中学生思维的习惯 .     

基于改进SIR模型的知识密集型企业隐性知识转移研究

通过对比分析传染病传染机制与隐性知识的转移过程,引入SIR模型,根据隐性知识转移的特点对SIR模型进行改进,并在组织遗忘视角下,将员工知识遗忘细分为主动遗忘和被动遗忘,建立知识密集型企业隐性知识转移模型.而后,通过Matlab对该模型的演化函数进行模拟,分析知识接收方占比、知识转移能力、知识遗忘率及核心员工流失率对知识...     

电动机故障诊断专家系统研究

通过对电动机故障分析，主要研究了产生式电动机故障诊断专家系统的总体结构，知识获取，知识库建立及推理机制。     

The Representational Relation Between Environmental Structures and Neural Systems: Autonomy and Environmental Dependency in Neural Knowledge Representation

In this paper it will be shown that in neural systems with a recurrent architecture, the traditional concepts of knowledge representation cannot be applied any more; no stable representational relationship of reference can be found. That is why a redefinition of the relationship between the states of the environment and the internal representational states is proposed. Studying the dynamics of recurrent neural systems reveals that the goal of representation is no longer to map the environment as accurately as possible to the representation system (e.g., to symbols). It is suggested that it is more appropriate to look at neural systems as physical dynamical devices embodying the (transformation) knowledge for sensorimotor integration and for generating adequate behavior enabling the organism's survival. As an implication the representation is determined not only by the environment, but highly depends on the organization, structure, and constraints of the representation system as well as the sensory/motor systems which are embedded in a particular body structure. This leads to a system relative concept of representation. By transforming recurrent neural networks into the domain of finite automata, the dynamics as well as the epistemological implications become more clear. In recurrent neural systems a type of balance between the autonomy of the representation and the environmental dependence/influence emerges. This not only affects the traditional concept of knowledge representation, but has also implications for the understanding of semantics, language, communication, and even science.     

Preliminary Design of ITER Test Blanket Module HC-SB Structure

The helium cooled solid breeder blanket that represents the main stream in relevant blanket concepts. It is considered as one of the main options for the fusion reactor. This concept have advantage as follows： （ 1 ） structure simpleness and stability, （ 2 ） no effect of MHD, （ 3 ） a good compatibility in different materials.     

How fragile is consolidated knowledge?: Ben's comparisons of infinite sets

This article builds on two previous ones in which we presented the processes of construction and consolidation of one student's knowledge structures about comparisons of infinite sets, according to a recently proposed theory of abstraction. In the present article, we show that under slight variations of context, knowledge structures that have apparently been well-consolidated may become inactive and subordinate to more primitive ones.