南京牛首山佛顶宫的公共艺术与场所精神

文章运用实地考察法、文献搜集法,从公共艺术特性入手,通过南京牛首山佛顶宫的文脉、空间及其内外的装置以及人们在这样的宗教建筑环境中进行有关活动的分析研究,寻找公共艺术作品与场所的契合点。通过对契合点的阐释,希望对中国建筑艺术作品的公共艺术与场所精神研究提供一点参考,以期日后创作出更加成功的公共艺术与场所精神相结合的案例。     

城市文化视角下的公共艺术设计策略研究

公共艺术与城市文化两者的关系十分密切,在城市整体形象建设中结合城市规划与建筑设计,注重公共艺术整体性设计,在城市公共空间与环境建设中融入公共艺术,能够实现城市历史与文化的良好传承,并将城市公共活动空间所具有的地域文化特色充分发挥。旨在对城市文化视角下的公共艺术整体性设计展开深入研究,并从整体性设计的城市文化、规划、建筑等多个层面进行深度解析。     

中国风插画的设计和创新

不管是纸质媒体插画,还是数字媒体插画,都是一种具有典型意义的艺术表现方式。从中国风元素在插画艺术中的基本表现入手,对插画艺术与中国风元素之间的关系进行探讨,就如何提高中国风插画的设计水平提几点解决策略。     

中国铁路现代物流研究综述

为提升铁路现代物流专业化服务能力、发挥铁路骨干作用,适应中国物流需求差异化发展趋势,为中国铁路现代物流发展提供理论和技术支撑,利用中国知网检索工具,梳理了最近20年公开发表的1 722篇以铁路物流为关键词的文章,以铁路现代物流体系构成要素为主要维度,对研究成果进行综述和研判。研究发现,既有的研究成果主要以铁路向现代物流转型升级为研究重点,涉及到铁路物流体系发展的顶层设计、物流技术及经营管理等若干领域,基本形成了铁路物流专业化服务体系理论技术架构,推动了铁路现代物流业务的发展;现有研究成果依然存在系统性不足的问题,原因在于没有针对铁路现代物流专业化服务能力不足的根本性问题,以经营效益为导向系统构建铁路现代物流发展理论和技术体系。因此,未来铁路现代物流研究的发展方向,将主要集中在以经营效益为导向的专业化服务体系建设,以及支撑专业化服务体系建设的网络规划、设施布局、装备研发、智能技术等技术方向。     

Statistical Properties of a Modified Accelerated Design for Phase I Cancer Clinical Trials

We consider the semiparametric profile likelihood inference for the distribution function under doubly censored data. For further developments of the statistical inference based on the profile likelihood ratio and alternative tools such as the score or Wald-type inference, we discuss the structures of the profile likelihood estimators and their derivatives included in the score function and the Fisher function of the profile likelihood, establishing the consistencies of their estimators.     

An Extension of Economic Design of x-Bar Control Charts for Non Normally Distributed Data Under Weibull Shock Models

Three parameters—sample size, sampling intervals, and the control limits—must be determined when the x bar chart to monitor a manufacturing process. The constant sampling intervals were widely employed because of its administrative simplicity. However, the variable sampling interval (VSI) has recently been shown to give substantially faster detection of most process shifts than fixed-sampling-interval (FSI) for x-bar charts. In addition, these measurements in the subgroup are assumed to be normally distributed. That assumption may not be tenable. This investigation compares the economic design of x-bar control charts for non normal data under Weibull shock models with various sampling avenues.     

Computer-Generated Change-Over Designs for Correlated Observations

Change-over designs with independently distributed errors in the model have been studied extensively in the literature. Martin and Eccleston (2001 Martin , R. J. , Eccleston , J. A. ( 2001 ). Optimal and near optimal designs for dependent observations . Statist. Applic. 3 : 101 – 116 . [Google Scholar]) gave an algorithm for the generation of efficient change-over designs when the errors are correlated. This article proposes an algorithm for the generation of efficient change-over designs for estimation of direct effects of treatments in the presence of first-order residual effects in the model and when the errors are correlated.     

Uniform Design for Experiments with Mixtures

The goal of uniform mixture design is to scatter the design points in the experimental region uniformly. The commonly used criteria, such as mean square distance, are based on the Euclidean distance. Based on the Lee distance, a new criterion is proposed in this article. And an algorithm, called NTLBG, is also proposed to refine the randomly generated design for the experimental design with mixtures. Some examples show that the design generated by the NTLBG algorithm has a lower criteria value.     

Adaptive Crossover Design for Normal Responses

In a response-adaptive design, we review and update the trial on the basis of outcomes in order to achive a specific goal. In clinical trials our goal is to allocate a larger number of patients to the better treatment. In the present paper, we use a response adaptive design in a two-treatment two-period crossover trial where the treatment responses are continuous. We provide probability measures to choose between the possible treatment combinations AA, AB, BA, or BB. The goal is to use the better treatment combination a larger number of times. We calculate the allocation proportions to the possible treatment combinations and their standard errors. We also derive some asymptotic results and provide solutions on related inferential problems. The proposed procedure is compared with a possible competitor. Finally, we use a data set to illustrate the applicability of our proposed design.