提高地方人大常委会会议审议质量的思考

地方人大常委会是地方人大常委会代表人民行使国家权力最基本、最主要的形式。因此,在新形势下,探索研究怎样提高地方人大常委会会议审议质量,坚持和完善人民代表大会制度,加强国家地方权力机关对“一府两院”依法行政和民主法制监督,联系人民代表、人民群众,是推进社会主义政治文明建设健康发展和经济社会全面发展的迫切需要,也是实现全面建设小康社会的重要保证。必须从精选议题、依法审议、督促落实三个方面提高地方人大常委会会议审议质量。     

人大监督不力的制度原因探析

人大监督权运作正常与否被看成是衡量人大制度健康与否的重要标志。现阶段,我国各级人大较为普遍地存在着监督权不到位、监督不力的现象,这极大地消解了国家权力机关的权威、弱化了其地位。造成这一状况的制度原因主要有：党的领导和人大权力关系未能理顺;人大代表的筛选与监控机制失灵;人大代表履职监督机制还不够健全等。为此,解决人大监督不力、提高人大监督实效,要从制度建设入手,通过制度变革来形成合力,改变人大监督的政治生态环境,健全人大制度、强化人大监督,推动人大制度的健康发展。     

我国的人大代表选举制度

在当代,选举制度是代议民主最基本的要素。在我国,人大代表作为人民代表大会制度的主体,是通过民主选举而产生的。在人大代表选举制度中,有选举权的普遍性、选举权平等、直接选举和间接选举、差额选举、无记名投票（或秘密投票）等原则。选民登记、选区划分、代表名额、代表候选人的提出与确定、预选、代表候选人的宣传介绍、投票选举、选举结果的确定、对代表的监督和补选等都是这些原则的展开和体现。同时,可将这些原则作为标准来观照现实的选举制度。随着我国经济、政治、文化和社会等的发展,选举法也必须与时俱进。     

论新时期网络参政与中国民主政治发展

新时期网络参政对中国民主政治发展促进作用将更加明显,是有中国特色民主政治发展的重要内容之一。网络参政的作用已经引起了党和国家领导人的重视,地方党和政府的负责人也逐渐注意到网络参政的实际意义,其作用主要体现在：促进参与式民主的发展;促进传统集权等级制权力结构的转换;促进社会平等;促进政治、政府公开的发展;促进选民与人大代表的沟通;促进公民政治社会化的加强。网络参政还是把双刃剑,应该加强规范和管理。     

Analysis of microtubule dynamics using growth curve models

Microtubules are part of the structural network within a cell's cytoplasm, providing structural support as well as taking part in many of the cellular processes. A large body of data provide evidence that dynamics of microtubules in a cell is reponsible for the performance of many critical cellular functions such as cell division. In this article, we study the effect of four different isoforms of a protein tau on microtubule dynamics using growth curve models. The results show that a linear growth curve model is sufficient to explain the data. Moreover, we find that a mutated version of a 3-repeat tau protein has a similar effect as a 4-repeat tau protein on microtubule dynamics. The latter findings conform with the biological understanding of the effect of the protein tau on microtubule dynamics.     

Cumulative correspondence analysis of ordered categorical data from industrial experiments

Most studies of quality improvement deal with ordered categorical data from industrial experiments. Accounting for the ordering of such data plays an important role in effectively determining the optimal factor level of combination. This paper utilizes the correspondence analysis to develop a procedure to improve the ordered categorical response in a multifactor state system based on Taguchi's statistic. Users may find the proposed procedure in this paper to be attractive because we suggest a simple and also popular statistical tool for graphically identifying the really important factors and determining the levels to improve process quality. A case study for optimizing the polysilicon deposition process in a very large-scale integrated circuit is provided to demonstrate the effectiveness of the proposed procedure.     

Another look at Huber's estimator: A new minimax estimator in regression with stochastically bounded noise

Huber's estimator has had a long lasting impact, particularly on robust statistics. It is well known that under certain conditions, Huber's estimator is asymptotically minimax. A moderate generalization in rederiving Huber's estimator shows that Huber's estimator is not the only choice. We develop an alternative asymptotic minimax estimator and name it regression with stochastically bounded noise (RSBN). Simulations demonstrate that RSBN is slightly better in performance, although it is unclear how to justify such an improvement theoretically. We propose two numerical solutions: an iterative numerical solution, which is extremely easy to implement and is based on the proximal point method; and a solution by applying state-of-the-art nonlinear optimization software packages, e.g., SNOPT. Contribution: the generalization of the variational approach is interesting and should be useful in deriving other asymptotic minimax estimators in other problems.     

Regularization through variable selection and conditional MLE with application to classification in high dimensions

It is often the case that high-dimensional data consist of only a few informative components. Standard statistical modeling and estimation in such a situation is prone to inaccuracies due to overfitting, unless regularization methods are practiced. In the context of classification, we propose a class of regularization methods through shrinkage estimators. The shrinkage is based on variable selection coupled with conditional maximum likelihood. Using Stein's unbiased estimator of the risk, we derive an estimator for the optimal shrinkage method within a certain class. A comparison of the optimal shrinkage methods in a classification context, with the optimal shrinkage method when estimating a mean vector under a squared loss, is given. The latter problem is extensively studied, but it seems that the results of those studies are not completely relevant for classification. We demonstrate and examine our method on simulated data and compare it to feature annealed independence rule and Fisher's rule.     

城镇居民家庭财产性收入研究

 近几年来,我国城镇居民家庭的财产性收入增长迅速,但其占家庭总收入比重还是很低。为实现“让更多群众拥有财产性收入”,提高居民的整体收入水平,本文对城镇居民家庭财产性收入进行系统深入的研究,提出收入——财产（生活型和投资型）——财产性收入三者相联关系的观点,分析近几年我国城镇居民家庭财产和财产性收入的现状和值得关注问题,并发现财产性收入增长受家庭财产、居民个人因素、经济发展、制度安排和投资市场的影响,最后有针对性提出增加城镇居民家庭财产性收入的对策建议。     

中国证券业总产出和增加值测算研究

 金融机构总产出和增加值的测算是一项基础性的研究工作。与传统测算方法不同,本文借鉴经济合作和发展组织（OECD）提出的使用者成本法,把证券业视为生产性服务活动,并结合我国的实际情况,从服务的角度初步提出了我国证券业总产出和增加值的测算框架。并提出了未来研究改进的方向。