论基层检察院审查逮捕制度运作理论模型之建构——兼及刑事诉讼实证研究方法的拓展

利用在四个基层检察院的实证调查材料,并借用社会与组织理论的概念,建构了基层检察院审查逮捕制度日常运作的理论模型。从此理论模型中,可以看到中国审查逮捕制度运作的真实情景,也能够体会到其中种种因素之间相互交错与影响的关系。此模型还提供了思考审查逮捕制度乃至整个刑事司法制度变迁的理论空间。     

运动技能迁移原理在体育教学中的应用研究

体育教学中的技能迁移是有条件的，相对的，它们相互作用、相互制约。在教学过程中，针对不同项目特点，按照运动技能迁移规律处理教学内容的纵、横向联系，对于合理案件安排教学进度，力求形成最佳排列次序、促进体育教学更加科学化有着重要意义。     

Community members' perceptions on social,cultural changes and its implication for educational transformation in a small school district community

Abstract

Systemic organisational transformation with broad stakeholder involvement is needed in our educational systems. While involving all stakeholders is crucial for building grass-roots community support and garnering input in order to achieve fundamental transformation in schools, community members are typically the least represented stakeholder group in most change efforts. This article's investigation of the community's involvement in a change effort in the United States reflects how important it is to harness the power of stakeholder ownership and help community members communicate and participate in learning communities. This study specifically examined the impact of community members' involvement in school-based community forums on the change effort at large.     

Transformation and Smoothing in Sample Survey Data

Abstract. We consider model‐based prediction of a finite population total when a monotone transformation of the survey variable makes it appropriate to assume additive, homoscedastic errors. As the transformation to achieve this does not necessarily simultaneously produce an easily parameterized mean function, we assume only that the mean is a smooth function of the auxiliary variable and estimate it non‐parametrically. The back transformation of predictions obtained on the transformed scale introduces bias which we remove using smearing. We obtain an asymptotic expansion for the prediction error which shows that prediction bias is asymptotically negligible and the prediction mean‐squared error (MSE) using a non‐parametric model remains in the same order as when a parametric model is adopted. The expansion also shows the effect of smearing on the prediction MSE and can be used to compute the asymptotic prediction MSE. We propose a model‐based bootstrap estimate of the prediction MSE. The predictor produces competitive results in terms of bias and prediction MSE in a simulation study, and performs well on a population constructed from an Australian farm survey.     

网络条件下基层图书资料室的建设与服务

在网络条件下,科研单位研究所一级的基层图书资料室仍然具有不可替代性,但必须在资料来源、储存、整理、检索、效能等方面转型,资料的配置要有明确的目标,服务方式要实现现代化.     

组织变革的认知与工作压力——基于国有商业银行的实证研究

目前我国国有商业银行面临着剧烈的环境变化和角色转换。员工对组织变革的认知与工作压力及其工作表现存在着显著的相关关系。因此,国有商业银行在实施组织变革的过程中,要与员工进行良好的协调与沟通,增加与员工之间的互动性,同时还要对员工进行必要的帮助和咨询,使其在心理上和生理上同时适应银行变革后的新的角色。     

促进河北省文化产业转型升级的金融支持研究

河北省确定将文化产业作为“十二五”时期发展的重点，文章从比较分析河北省文化产业的发展现状与其他省份发展的差距入手，从政策性金融支持体系、文化产业投资信息平台和文化产权交易体系建设等几个方面提出了推动河北省文化产业转型升级的金融对策建议。     

A class of semiparametric transormation frailty models with application to estimating treatment effects and heterogenity in aids clinical traials

Muitivariate failure time data are common in medical research; com¬monly used statistical models for such correlated failure-time data include frailty and marginal models. Both types of models most often assume pro¬portional hazards (Cox, 1972); but the Cox model may not fit the data well This article presents a class of linear transformation frailty models that in¬cludes, as a special case, the proportional hazards model with frailty. We then propose approximate procedures to derive the best linear unbiased es¬timates and predictors of the regression parameters and frailties. We apply the proposed methods to analyze results of a clinical trial of different dose levels of didansine (ddl) among HIV-infected patients who were intolerant of zidovudine (ZDV). These methods yield estimates of treatment effects and of frailties corresponding to patient groups defined by clinical history prior to entry into the trial.     

Hierarchical Variable Selection in Polynomial Regression Models

Significance tests on coefficients of lower-order terms in polynomial regression models are affected by linear transformations. For this reason, a polynomial regression model that excludes hierarchically inferior predictors (i.e., lower-order terms) is considered to be not well formulated. Existing variable-selection algorithms do not take into account the hierarchy of predictors and often select as “best” a model that is not hierarchically well formulated. This article proposes a theory of the hierarchical ordering of the predictors of an arbitrary polynomial regression model in m variables, where m is any arbitrary positive integer. Ways of modifying existing algorithms to restrict their search to well-formulated models are suggested. An algorithm that generates all possible well-formulated models is presented.     

基于三维校正的SHGC物体三维结构提取方法

针对SHGC(straight homogeneous generalized cylinders)图像的特点与从单幅图像中提取三维信息困难,设计了一种基于单幅SHGC图像和三维校正的三维结构提取方法。与传统的SHGC三维结构提取方法不同,该方法从三维空间中匹配的角度出发,构造一个二维横截面,在二维横截面上增加一个z轴,通过平移、旋转预先构造好的三维横截面,将构造好的横截面与原图像中SHGC物体的横截面进行兴趣点匹配,从而确定最优化结果时的仿射成像参数(λ,θ),通过成像参数可以成功提取SHGC横截面的三维信息,结合SHGC的子午线轮廓信息定性地得到整个SHGC物体的三维信息,提取SHGC表面的纹理,通过三角网格的方法将纹理贴到三维物体表面。实验论证了本文提出的三维结构提取方法是可行的和正确的。