Estimation of cyclic long-memory parameters

This paper studies cyclic long-memory processes with Gegenbauer-type spectral densities. For a semiparametric statistical model, new simultaneous estimates for singularity location and long-memory parameters are proposed. This generalized filtered method-of-moments approach is based on general filter transforms that include wavelet transformations as a particular case. It is proved that the estimates are almost surely convergent to the true values of parameters. Solutions of the estimation equations are studied, and adjusted statistics are proposed. Monte-Carlo study results are presented to confirm the theoretical findings.     

Bayesian curve fitting and clustering with Dirichlet process mixture models for microarray data

In the field of molecular biology, it is often of interest to analyze microarray data for clustering genes based on similar profiles of gene expression to identify genes that are differentially expressed under multiple biological conditions. One of the notable characteristics of a gene expression profile is that it shows a cyclic curve over a course of time. To group sequences of similar molecular functions, we propose a Bayesian Dirichlet process mixture of linear regression models with a Fourier series for the regression coefficients, for each of which a spike and slab prior is assumed. A full Gibbs-sampling algorithm is developed for an efficient Markov chain Monte Carlo (MCMC) posterior computation. Due to the so-called “label-switching” problem and different numbers of clusters during the MCMC computation, a post-process approach of Fritsch and Ickstadt (2009) is additionally applied to MCMC samples for an optimal single clustering estimate by maximizing the posterior expected adjusted Rand index with the posterior probabilities of two observations being clustered together. The proposed method is illustrated with two simulated data and one real data of the physiological response of fibroblasts to serum of Iyer et al. (1999).     

A fast algorithm for constructing efficient event-related functional magnetic resonance imaging designs

We propose a novel, efficient approach for obtaining high-quality experimental designs for event-related functional magnetic resonance imaging (ER-fMRI), a popular brain mapping technique. Our proposed approach combines a greedy hill-climbing algorithm and a cyclic permutation method. When searching for optimal ER-fMRI designs, the proposed approach focuses only on a promising restricted class of designs with equal frequency of occurrence across stimulus types. The computational time is significantly reduced. We demonstrate that our proposed approach is very efficient compared with a recently proposed genetic algorithm approach. We also apply our approach in obtaining designs that are robust against misspecification of error correlations.     

可持续发展环境下的循环经济与政府经济职能

在市场经济条件下,政府职能需要从粗放型的管理向可持续发展的管理来转变;政府要从关注经济增长向关注经济发展来转变,从而保证市场经济要在社会效益最大化的条件下来调节微观主体的各种行为。政府在循环经济中的作用是引导行为模式,规范企业运行、将循环经济全局调控。而且政府需要从完善制度、产业政策、技术政策、消费政策、教育政策和法律保障等六个方面进行实施。     

我国工业企业发展循环经济存在的问题及解决的对策

我国工业企业发展循环经济存在着有些相关规定和政策可操作性不强,政府作用发挥得不充分,缺少资金、技术和人才,对其重要性认识不足等问题。所以,应依法对企业发展进行监督管理,政府给发展循环经济的企业提供更为宽松的政策,企业应多渠道筹集资金,多研发先进技术,提高职工发展循环经济的自觉性,应进一步推进工业生态园区建设。     

运用均匀设计研究环已烯的制备

以P2 O5为催化剂 ,用均匀设计来安排试验 ,对环已醇脱水制备环已烯的反应条件进行研究 ,并进行优化组合 ,得出反应的最佳条件为 :催化剂 3.5g ,反应时间 30min ,反应温度段为 15 5～16 0℃。     

陕北能源化工基地循环经济要素分析

陕北能源化工基地循环经济的发展受资源、环境、科学技术、资金和人等要素的影响,通过详细分析这五个要素的作用及其相互关系,并提出了促进各要素发挥高效作用应采取的重要措施,即:宣传教育与舆论监督、法制、政策、经济、技术等措施。     

节水型社会是可持续发展的必然选择

从节水型社会的提出背景出发,对节水型社会的制度建设和指标体系建设等方面进行了思考和分析,提出了节水型社会建设的对策,建立政府调控市场调节和大众参与的水资源运行机制,制定科学合理的水价机制推行城乡一体化水资源管理系统     

陕北能源化工基地循环经济系统分析

陕北能源化工基地由四个工业区组成,拟建八个生态工业园组成循环经济示范区,阐述了其建立循环经济示范区的必要性,详细地分析了它的循环经济链和循环经济系统,初步建立了循环经济系统分析模型,最后得出了陕北能源化工基地循环经济系统的建设必须与资源的清洁生产、高效利用和生态环境的保护以及经济的可持续发展相结合的结论     

化学修饰碳糊电极反应机理的探讨

研究了丁二酮肟化学修饰碳糊电极的循环伏安行为，并采用对比实验和红外光谱分析的方法对电极反应机理进行了探讨。