浅论位移电流

位移电流是普通物理中一个较重要的概念,也是教学中的一个难点.本文从位移电流概念的提出及实验验证,位移电流的物理意义及其与传导电流异同等几方面对其加以阐述,以求对位移电流的教学有所帮助.     

农业:如何迎接挑战

"入世"在即,我国农产品市场将向具有极强竞争力的外国农产品进一步开放.农业,如何迎接挑战?文章指出一要发挥比较优势,提高经济效益;二要提高农产品质量,增强竞争力.为实现这两方面的目标,应当调整农业生产的组织结构,政府要强化自身的服务和引导功能,要制定农产品质量标准体系,改善农业生产条件,要为农业提供信息和科技服务,要吸引外商和非农产业投资农业.     

对21世纪会计学教学改革的思考

文章认为21世纪的会计学教学改革,必须将教材更新、注重实践环节和加强学生能力的培养结合起来.     

资源枯竭地区经济转型评价体系研究

 基于实现资源枯竭地区经济转型的根本路径在于促进其经济发展方式从资源依赖型向创新驱动型转变的认识,本文构建了一套以反映发展目标、模式、资源、资本、技术、制度、以及市场机制创新为核心内容的资源枯竭地区经济转型评价指标体系,确定了相应的评价标准,并通过典型地区经济转型进程的实证分析,揭示了资源枯竭地区经济转型的突出制约因素和主要着力点。     

Statistical inference for partially time-varying coefficient errors-in-variables models

This paper studies the partially time-varying coefficient models where some covariates are measured with additive errors. In order to overcome the bias of the usual profile least squares estimation when measurement errors are ignored, we propose a modified profile least squares estimator of the regression parameter and construct estimators of the nonlinear coefficient function and error variance. The proposed three estimators are proved to be asymptotically normal under mild conditions. In addition, we introduce the profile likelihood ratio test and then demonstrate that it follows an asymptotically χ²${\chi }^2$ distribution under the null hypothesis. Finite sample behavior of the estimators is investigated via simulations too.     

A joint modelling approach for clustered recurrent events and death events

In dental implant research studies, events such as implant complications including pain or infection may be observed recurrently before failure events, i.e. the death of implants. It is natural to assume that recurrent events and failure events are correlated to each other, since they happen on the same implant (subject) and complication times have strong effects on the implant survival time. On the other hand, each patient may have more than one implant. Therefore these recurrent events or failure events are clustered since implant complication times or failure times within the same patient (cluster) are likely to be correlated. The overall implant survival times and recurrent complication times are both interesting to us. In this paper, a joint modelling approach is proposed for modelling complication events and dental implant survival times simultaneously. The proposed method uses a frailty process to model the correlation within cluster and the correlation within subjects. We use Bayesian methods to obtain estimates of the parameters. Performance of the joint models are shown via simulation studies and data analysis.     

Modular-transform based clustering

Spectral clustering uses eigenvectors of the Laplacian of the similarity matrix. It is convenient to solve binary clustering problems. When applied to multi-way clustering, either the binary spectral clustering is recursively applied or an embedding to spectral space is done and some other methods, such as K-means clustering, are used to cluster the points. Here we propose and study a K-way clustering algorithm – spectral modular transformation, based on the fact that the graph Laplacian has an equivalent representation, which has a diagonal modular structure. The method first transforms the original similarity matrix into a new one, which is nearly disconnected and reveals a cluster structure clearly, then we apply linearized cluster assignment algorithm to split the clusters. In this way, we can find some samples for each cluster recursively using the divide and conquer method. To get the overall clustering results, we apply the cluster assignment obtained in the previous step as the initialization of multiplicative update method for spectral clustering. Examples show that our method outperforms spectral clustering using other initializations.