基于社区视角下的农村环境管理探讨

市场机制对农村环境管理具有灵活性、低成本性,但是由于环境问题的外部性,市场失灵容易发生.运用政府管制手段可以加强环境管理的公平性,但是由于环境治理的政府主导型特征,政府失灵容易发生.社区作为介于政府与市场之间的第三部门,可以运用其独特的社会资本参与环境管理,以其自身所具有的灵活性、低成本性、信息优势和高效性,克服市场失灵和政府失灵现象.     

试析民主革命时期毛泽东统战思想的若干特点

毛泽东的统一战线思想发生、发展、成熟于中国革命的过程中。毛泽东在长期领导中国革命的历史过程中对统一战线作了一系列具有独创性的论述,并且呈现了若干特点。这些特点主要是：战略上的预见性,策略上的灵活性,精髓上的继承性以及表述上的细致性。     

浅析恶意诉讼

在公民的权利意识不断强化的今天,出现了很多在诉讼这一合法形式的掩饰下谋取不正当利益或损害他人合法权益的行为,恶意诉讼已经成为我们不得不面对和急需解决的问题。恶意讼诉之所以发生,是由于我国立法不完善,诚信观念的缺失以及调解制度的不完善。因此,需要我国立法的进一步完善,以法对恶意诉讼进行规制。     

海上丝绸之路沿线地区概况及深圳参与建设的潜力分析

通过分析21世纪海上丝绸之路国家战略提出的背景和意义,以及21世纪海上丝绸之路沿线地区人口资源、文化、城市化进程、工业化进程、资源等发展的基本情况,梳理深圳参与海上丝绸之路的需求和潜力,为深圳参与海上丝绸之路建设提供建议。     

再论族格——从民族的公法人地位展开

通过分析民族自决权、少数民族文化权利保障存在的问题,认为,现有法律体系对民族权益的保障存在结构性的障碍.通过引入公法人制度,赋予民族公法人地位,是解决该问题的关键.在此过程中,国家及其法律确认了民族有其族格.     

Online MapReduce scheduling problem of minimizing the makespan

MapReduce system is a popular big data processing framework, and the performance of it is closely related to the efficiency of the centralized scheduler. In practice, the centralized scheduler often has little information in advance, which means each job may be known only after being released. In this paper, hence, we consider the online MapReduce scheduling problem of minimizing the makespan, where jobs are released over time. Both preemptive and non-preemptive version of the problem are considered. In addition, we assume that reduce tasks cannot be parallelized because they are often complex and hard to be decomposed. For the non-preemptive version, we prove the lower bound is \(\frac{m+m(\Psi (m)-\Psi (k))}{k+m(\Psi (m)-\Psi (k))}\), higher than the basic online machine scheduling problem, where k is the root of the equation \(k=\big \lfloor {\frac{m-k}{1+\Psi (m)-\Psi (k)}+1 }\big \rfloor \) and m is the quantity of machines. Then we devise an \((2-\frac{1}{m})\)-competitive online algorithm called MF-LPT (Map First-Longest Processing Time) based on the LPT. For the preemptive version, we present a 1-competitive algorithm for two machines.     

我国异质性产业体系低碳化发展的实现路径及其影响因素

本文建立了一个异质性产业体系低碳化发展路径选择的分析框架,通过超越对数形式的随机前沿生产函数,测算了我国29个省区产业体系生产技术及其效率和生产规模效率,以及能源使用技术及其效率和碳减排技术及其效率,并针对不同类型产业体系的低碳化发展提出政策建议.结果表明,我国异质性产业体系可以通过不同的结构升级和技术进步的选择形成适合于自身产业体系特征的低碳化发展路径.     

An adaptive-to-model test for partially parametric single-index models

Residual marked empirical process-based tests are commonly used in regression models. However, they suffer from data sparseness in high-dimensional space when there are many covariates. This paper has three purposes. First, we suggest a partial dimension reduction adaptive-to-model testing procedure that can be omnibus against general global alternative models although it fully use the dimension reduction structure under the null hypothesis. This feature is because that the procedure can automatically adapt to the null and alternative models, and thus greatly overcomes the dimensionality problem. Second, to achieve the above goal, we propose a ridge-type eigenvalue ratio estimate to automatically determine the number of linear combinations of the covariates under the null and alternative hypotheses. Third, a Monte-Carlo approximation to the sampling null distribution is suggested. Unlike existing bootstrap approximation methods, this gives an approximation as close to the sampling null distribution as possible by fully utilising the dimension reduction model structure under the null model. Simulation studies and real data analysis are then conducted to illustrate the performance of the new test and compare it with existing tests.     

模糊变权组合预测方法研究

在不确定环境组合预测中,用模糊权重系数更能体现各单项预测方法的客观表现.文章提出一种新的权重系数为三角模糊数的组合预测方法.首先建立以组合预测精确度指数最小为准则的模糊加权组合预测模型,为了避免样本数据中极端值对模型的影响,对模型进行改进,提出带有0-1变量的模糊加权组合预测模型.进一步考虑到单项预测方法在不同时刻的表现有所差异,建立基于诱导有序模糊加权平均(IOFWA)算子的模糊变权组合预测模型,该模型不仅能克服极端值的影响,而且具有更高的预测精确度.并实证验证了该方法的适用性和灵活性.     

A Bayesian sequential design with binary outcome

Several researchers have proposed solutions to control type I error rate in sequential designs. The use of Bayesian sequential design becomes more common; however, these designs are subject to inflation of the type I error rate. We propose a Bayesian sequential design for binary outcome using an alpha‐spending function to control the overall type I error rate. Algorithms are presented for calculating critical values and power for the proposed designs. We also propose a new stopping rule for futility. Sensitivity analysis is implemented for assessing the effects of varying the parameters of the prior distribution and maximum total sample size on critical values. Alpha‐spending functions are compared using power and actual sample size through simulations. Further simulations show that, when total sample size is fixed, the proposed design has greater power than the traditional Bayesian sequential design, which sets equal stopping bounds at all interim analyses. We also find that the proposed design with the new stopping for futility rule results in greater power and can stop earlier with a smaller actual sample size, compared with the traditional stopping rule for futility when all other conditions are held constant. Finally, we apply the proposed method to a real data set and compare the results with traditional designs.