论校园时尚语境下的大学生思想政治教育

大学校园时尚的产生有其必然性,它对学生的思想政治教育既有积极意义,又会产生消极影响.基于此,必须积极应对大学校园时尚的冲击,在校园时尚语境下把大学生思想政治教育提升到新的局面.     

母语对外语学习的干扰

消除母语对外语学习的干扰 ,探索语言学习错误的原因 ,寻求恰当的教学途径 ,解决母语干扰问题 ,对于提高外语教学质量具有积极的意义     

我国城市社区建设的几个理论和实践问题

在实践中 ,城市社区建设的实际操作有诸多现象和现实问题应引起我们足够的重视。“社区建设”概念的界定、政府在城市社区建设中的职能定位、居民参与在城市社区建设中的地位、社区工作者队伍建设等几个主要方面的问题则需要我们加以认真的研究和探讨。     

谈鲁迅小说中的逻辑问题

本文运用演绎逻辑、归纳逻辑和辩证逻辑的基本方法 ,对鲁迅小说中的逻辑问题进行分析 ,得到一些有益的结论     

内开槽螺纹波导冷腔色散特性模拟研究

根据螺纹波导中模式间的耦合方程组及冷腔色散方程进行了数值计算,分析了2个模式的相互耦合机理。基于圆柱形波导中线性极化TE11模式存在极化简并的特性,将线极化TE11脉冲作为1个探针,采用粒子模拟软件对该腔体进行了3维冷腔模拟;并将模拟结果与数值计算结果进行了比较,两者基本一致。通过计算机模拟得出了混合模式的电场等位线分布图,结合色散方程数值计算分析了内开槽螺纹几何特性变化对波导色散特性的影响规律。     

论潮汕近代民居建筑的海洋文化内涵

潮汕侨乡是广东侨乡的重要组成部分,华侨投资极大地推动了近代潮汕侨乡的建筑发展。近代潮汕侨乡建筑审美文化特征的主要表现是展现了中西建筑文化从接触碰撞到融会创新的历史过程,突出体现了开放性、兼容性、创新性的时代精神和审美特征。海洋文化对潮汕近代文化的影响是一个客现存在的事实,近代潮汕民居建筑文化是中国近代建筑文化的重要组成部分,有独特的历史文化价值,它给国际建筑思潮影响下的当代新地域性建筑的生存与发展以启迪。     

Risk,trust and knowledge networks in farmers’ learning

This study reports on New Zealand dairy farmers’ access to and use of information as mediated through conditions of risk and trust within the context of their interpersonal social networks. We located participants’ reports of their information use within their perceived environments of trust and risk, following Giddens's [1990. The consequences of modernity. Polity Press, Stanford, CA] typology of trust and risk in pre-modernity and modernity. The research participants were constant users of interpersonal and print information from numerous sources, and monitored their incoming data in the light of strategic needs, reflecting their roles as both farming practitioners and business owners. Socio-spatial knowledge networks (SSKNs) combine individuals’ explanatory cognitive models of information acquisition and use with a micro-geographical analysis of their interpersonal networks. The participants showed characteristics of pre-modern, modern and even post-modern society in respect of their use of complex interactional forms, as well as a blending of individualistic and communitarian practices and concerns in their professional and personal lives.     

Bootstrap Estimation of Benchmark Doses and Confidence Limits with Clustered Quantal Data

The benchmark dose (BMD) is an exposure level that would induce a small risk increase (BMR level) above the background. The BMD approach to deriving a reference dose for risk assessment of noncancer effects is advantageous in that the estimate of BMD is not restricted to experimental doses and utilizes most available dose-response information. To quantify statistical uncertainty of a BMD estimate, we often calculate and report its lower confidence limit (i.e., BMDL), and may even consider it as a more conservative alternative to BMD itself. Computation of BMDL may involve normal confidence limits to BMD in conjunction with the delta method. Therefore, factors, such as small sample size and nonlinearity in model parameters, can affect the performance of the delta method BMDL, and alternative methods are useful. In this article, we propose a bootstrap method to estimate BMDL utilizing a scheme that consists of a resampling of residuals after model fitting and a one-step formula for parameter estimation. We illustrate the method with clustered binary data from developmental toxicity experiments. Our analysis shows that with moderately elevated dose-response data, the distribution of BMD estimator tends to be left-skewed and bootstrap BMDL s are smaller than the delta method BMDL s on average, hence quantifying risk more conservatively. Statistically, the bootstrap BMDL quantifies the uncertainty of the true BMD more honestly than the delta method BMDL as its coverage probability is closer to the nominal level than that of delta method BMDL. We find that BMD and BMDL estimates are generally insensitive to model choices provided that the models fit the data comparably well near the region of BMD. Our analysis also suggests that, in the presence of a significant and moderately strong dose-response relationship, the developmental toxicity experiments under the standard protocol support dose-response assessment at 5% BMR for BMD and 95% confidence level for BMDL.