完善量刑建议权的几点思考

检察机关开展量刑建议工作,是实现司法监督、提升司法公信、维护社会公平正义的重大举措。但是量刑建议本身是一项系统、复杂、长期的工作,目前我国在司法实践中尚处于尝试在探索阶段,在法律制度安排、司法实务层面上还存在一些问题,建议通过加强量刑建议能力建设,构建量刑建议配套规则,明确量刑建议效力等方面不断加以完善。     

热能与动力工程专业毕业设计（论文）的改革与实践

北京工业大学热能与动力工程专业着眼于培养本科生的创新精神与实践能力,将本科毕业设计（论文）环节作为重要抓手。通过加强毕业设计（论文）管理的规范化,采取“0．5＋0．5”毕业设计模式,与开放实验室、本科生导师制、组建混合型研究团队、学生科技竞赛等多种途径紧密结合,显著提高了毕业设计（论文）质量。     

民间精神与荒诞的权力运作机制——论刘震云《我不是潘金莲》的叙事伦理

刘震云持之以恒地关注权力对人性、对社会生活的深刻影响。他最新的长篇小说《我不是潘金莲》中,被权力挟持的荒诞生活更是被他提升到一种寓言化、传奇化的境界。在游刃有余、幽默迭出、清简传神的明清话本风格般的叙述中,刘震云展示了敢于担当的民间精神对荒诞社会的不公不义的反抗,暴露出了社会的权力运作机制的荒诞性,从而逼迫人们深入反思当今社会的可能出路。这无疑是富有启示性的叙事伦理指向。     

Accuracy of Estimates and Statistical Power for Testing Meditation in Latent Growth Curve Modeling

The latent growth curve modeling (LGCM) approach has been increasingly utilized to investigate longitudinal mediation. However, little is known about the accuracy of the estimates and statistical power when mediation is evaluated in the LGCM framework. A simulation study was conducted to address these issues under various conditions including sample size, effect size of mediated effect, number of measurement occasions, and R ₂ of measured variables. In general, the results showed that relatively large samples were needed to accurately estimate the mediated effects and to have adequate statistical power, when testing mediation in the LGCM framework. Guidelines for designing studies to examine longitudinal mediation and ways to improve the accuracy of the estimates and statistical power were discussed.     

Evaluation of a New Mean Scaled and Moment Adjusted Test Statistic for SEM

Recently a new mean scaled and skewness adjusted test statistic was developed for evaluating structural equation models in small samples and with potentially nonnormal data, but this statistic has received only limited evaluation. The performance of this statistic is compared to normal theory maximum likelihood and 2 well-known robust test statistics. A modification to the Satorra–Bentler scaled statistic is developed for the condition that sample size is smaller than degrees of freedom. The behavior of the 4 test statistics is evaluated with a Monte Carlo confirmatory factor analysis study that varies 7 sample sizes and 3 distributional conditions obtained using Headrick's fifth-order transformation to nonnormality. The new statistic performs badly in most conditions except under the normal distribution. The goodness-of-fit χ² test based on maximum-likelihood estimation performed well under normal distributions as well as under a condition of asymptotic robustness. The Satorra–Bentler scaled test statistic performed best overall, whereas the mean scaled and variance adjusted test statistic outperformed the others at small and moderate sample sizes under certain distributional conditions.     

Graphical Extension of Sample Size Planning With AIPE on RMSEA Using R

Kelley and Lai (2011) recently proposed the use of accuracy in parameter estimation (AIPE) for sample size planning in structural equation modeling. The sample size that reaches the desired width for the confidence interval of root mean square error of approximation (RMSEA) is suggested. This study proposes a graphical extension with the AIPE approach, abbreviated as GAIPE, on RMSEA to facilitate sample size planning in structural equation modeling. GAIPE simultaneously displays the expected width of a confidence interval of RMSEA, the necessary sample size to reach the desired width, and the RMSEA values covered in the confidence interval. Power analysis for hypothesis tests related to RMSEA can also be integrated into the GAIPE framework to allow for a concurrent consideration of accuracy in estimation and statistical power to plan sample sizes. A package written in R has been developed to implement GAIPE. Examples and instructions for using the GAIPE package are presented to help readers make use of this flexible framework. With the capacity of incorporating information on accuracy in RMSEA estimation, values of RMSEA, and power for hypothesis testing on RMSEA in a single graphical representation, the GAIPE extension offers an informative and practical approach for sample size planning in structural equation modeling.     

软实力建设与科学发展观

今日之世界,软实力建设不可或缺。国家富强、企业利润最大化、个体进步均离不开自身卓有成效的软实力建设．在当下的中国,软实力建设的核心是科学发展观。为此,软实力建设须在科学发展观的导引下进行．     

Cognitive load and knowledge sharing in Learning Networks

Learning Networks (LNs) are online social networks designed to support nonformal learning; they are therefore particularly suitable for self-directed learners. In LNs, learners need to construct knowledge through knowledge sharing with other participants. However, without support, learners have to organize knowledge sharing themselves and this could induce extraneous cognitive load. When working on complex learning tasks, this organizing process could have a detrimental effect on knowledge construction. To optimize cognitive load, we propose using a peer support system that applies the mechanisms of peer tutoring to support knowledge sharing. Its mechanisms reduce, we argue, the extraneous load imposed by having to organize knowledge sharing as well as induce germane load by directing the freed-up cognitive capacity to processes that contribute to knowledge construction.     

中国用电量需求模型的建立及需求预测

讨论了我国用电量及其影响因素问题。取国内生产总值（GDP）、人口总数和原煤产量3个变量作为解释变量,分析它们对用电总量的影响程度。得出以下结论：（1）通过F检验,得出这3个自变量与用电量有显著线性关系,通过t检验,得出人口总数对用电量没有显著性影响,并通过回归诊断,得出线性回归方程,（2）预测了国家2012～2016年的用电量分别为26533．66亿千瓦时,28914．31亿千瓦时,31083．88亿千瓦时,33157．45亿千瓦时,35054．74亿千瓦时,这些研究结果为我国电力建设和社会发展规划提供了定量科学依据。     

非线性带涂层圆柱形复合介质的电势分布

利用摄动方法,研究了在外加交流电场E=E1sinωt＋E2sin3ωt＋E5sin5ωt的作用下,非线性带涂层圆柱形复合介质的电势分布,这种介质的电流密度J和电场强度E之间满足的关系为Jα=σαE＋χα｜E｜2E。