生态文明建设视角下创新大学生党建工作的路径研究——以宿州学院为例

大学生党员是生态文明观念的传播者,更是推进生态文明建设的先锋队和主力军.当前,在校大学生党员在生态文明方面存在一些意识淡薄与行为失范的问题.高校学生党建工作应以这些问题为导向,分析其在学校生态教育、基层党组织、生态道德修养等方面的成因,找到解决问题的对策.在此基础上,围绕生态文明建设来探索大学生党建工作的路径,如创新党支部设置方式和党建工作模式、丰富宣传教育形式、提升党员服务能力、开展实践活动、构建党员评价体系等,以提升大学生党员的生态文明意识与实践能力.     

农村集体建设用地流转中生态价值维度的法治考量

随着土地生态价值的凸显,农村集体建设用地流转过程中经济效益与生态效益的博弈逐渐引起关注.由于农村土地法律制度对生态价值观念的忽视、土地规划中生态价值效应的弱化、生态补偿制度在集体建设用地中的缺位、集体建设用地流转中执法监督的缺失、法律责任体系的滞后等原因,导致集体建设用地流转中生态价值维度出现失衡,需要在农村土地法律制度贯彻生态价值观念,加强土地规划中的生态效应,构建生态补偿制度,加大执法监督力度,并从法律责任体系上进行完善,最终实现农村集体建设用地流转中生态价值的均衡.     

基于生态理念的北京市新城发展模式

运用系统论的方法,通过分析北京市生态新城发展模式的构成要素及相应的子系统,以及分析在新城发展层次划分基础上的新城发展运行机制,研究构建基于生态理念的北京市新城发展模式。该模式是政治、经济、社会和环境各子系统之间的相互作用与影响、协调和谐运行,通过新城发展的内在机制、外在机制以及动力机制的作用,实现从新城规划建设到新城运行维护再到新城更新进步各个发展层次新城内部的生态系统的优化,以及新城与中心城之间相互促进与共同发展的模式。     

侗族传统村寨中的灵魂观与信仰礼俗研究——基于广西三江县车寨村的调查

广西三江县梅林乡车寨村是典型的侗族传统村寨,灵魂观是当地侗族人观念世界的核心。复杂的宗教信仰及信仰礼俗蕴藏着侗族人独特的灵魂观。车寨的宗教信仰体系中不仅有草木、山石崇拜等自然崇拜,萨岁、土地公等神灵崇拜,还包含信奉灵魂不灭的祖先崇拜。这些复杂多样的信仰及相关祭祀仪式,镶嵌着当地侗族人的生态伦理观和灵魂观。     

分布式室内移动机器人的定位与导航

针对当前移动机器人定位与导航成本较高的问题,提出了一种低成本、高性能的分布式导航方案。以性价比较 高的RPLIDAR激光传感器为核心,采用分布式软件的设计思想,设计了传感器的软件接口;采用DWA方法进行局部路 径规划。设计实现了移动机器人的定位与导航。实验结果表明该方案具有可行性与高效性。     

可行能力与农民工的福利状况评价

基于辽宁省沈阳市农民工调查数据,应用森的可行能力理论和模糊数学方法对农民工的福利状况进行整体评价。结果发现,农民工福利水平的总模糊指数为0.365,处于较低水平。分指标看,健康状况方面的福利状况处于较高水平,居住环境和精神感受方面的福利状况处于中间水平,其它功能性指标的福利水平较低。在影响农民工福利的主要因素中,工作环境和防护性保障的改善对提升农民工福利影响最大。运用OLS回归模型对农民工的福利状况进行扩展分析,发现农民工群体内部存在较强的异质性,并且不同特征的农民工群体福利水平相差很大。     

Imposing and Testing for Shape Restrictions in Flexible Parametric Models

In many economic models, theory restricts the shape of functions, such as monotonicity or curvature conditions. This article reviews and presents a framework for constrained estimation and inference to test for shape conditions in parametric models. We show that “regional” shape-restricting estimators have important advantages in terms of model fit and flexibility (as opposed to standard “local” or “global” shape-restricting estimators). In our empirical illustration, this is the first article to impose and test for all shape restrictions required by economic theory simultaneously in the “Berndt and Wood” data. We find that this dataset is consistent with “duality theory,” whereas previous studies have found violations of economic theory. We discuss policy consequences for key parameters, such as whether energy and capital are complements or substitutes.     

On asymptotic distribution of prediction in functional linear regression

There has been substantial recent attention on problems involving a functional linear regression model with scalar response. Among them, there have been few works dealing with asymptotic distribution of prediction in functional linear regression models. In recent literature, the centeral limit theorem for prediction has been discussed, but the proof and conditions under which the random bias terms for a fixed predictor converge to zero have been ignored so that the impact of these terms on the convergence of the prediction has not been well understood. Clarifying the proof and conditions under which the bias terms converge to zero, we show that the asymptotic distribution of the prediction is normal. Furthermore, we have derived those results related to other terms that already obtained by others, under milder conditions. Finally, we conduct a simulation study to investigate performance of the asymptotic distribution under various parameter settings.     

Functional Partial Linear Single‐index Model

This paper deals with the problem of predicting the real‐valued response variable using explanatory variables containing both multivariate random variable and random curve. The proposed functional partial linear single‐index model treats the multivariate random variable as linear part and the random curve as functional single‐index part, respectively. To estimate the non‐parametric link function, the functional single‐index and the parameters in the linear part, a two‐stage estimation procedure is proposed. Compared with existing semi‐parametric methods, the proposed approach requires no initial estimation and iteration. Asymptotical properties are established for both the parameters in the linear part and the functional single‐index. The convergence rate for the non‐parametric link function is also given. In addition, asymptotical normality of the error variance is obtained that facilitates the construction of confidence region and hypothesis testing for the unknown parameter. Numerical experiments including simulation studies and a real‐data analysis are conducted to evaluate the empirical performance of the proposed method.