对台湾技职类大学创新教育的几点思考——以朝阳科技大学为例

随着我国经济的转型发展创新教育在大学教育中的地位被凸显出来，技职类大学的创新教育是摆在我们面前的一个实际课题。我国台湾地区高校这类教育开始比大陆早一些，在政策的制定、教师的培养、课程的设计等方面有一些经验可以借鉴，能给我们一些重要的启示。     

中式菜谱艺术菜名分类及其英译策略

中式艺术菜名在中式菜谱汉译英翻译中最难处理,最具争议。针对中式艺术菜名的翻译,依据运用修辞手法的不同把中式艺术菜名分为比喻型、吉祥语型、典故型、诗句型和夸张型等五大类型,并参照海外著名中餐厅与西餐厅菜谱,为不同类型艺术菜名探讨恰当有效的翻译策略与方法,旨在弘扬中国饮食文化。     

Comparison between method of moments and entropy regularization algorithm applied to parameter estimation for mixed-Weibull distribution

Mixed-Weibull distribution has been used to model a wide range of failure data sets, and in many practical situations the number of components in a mixture model is unknown. Thus, the parameter estimation of a mixed-Weibull distribution is considered and the important issue of how to determine the number of components is discussed. Two approaches are proposed to solve this problem. One is the method of moments and the other is a regularization type of fuzzy clustering algorithm. Finally, numerical examples and two real data sets are given to illustrate the features of the proposed approaches.     

The “Silent Dog” Method: Analyzing the Impact of Self-Generated Rules When Teaching Different Computer Chains to Boys with Autism

The purpose of the study was to extend the literature on verbal self-regulation by using the “silent dog” method to evaluate the role of verbal regulation over nonverbal behavior in 2 individuals with autism. Participants were required to talk-aloud while performing functional computer tasks.Then the effects of distracters with increasing demands on target behavior were evaluated as well as whether self-talk emitted by Participant 1 could be used to alter Participant 2''s performance. Results suggest that participants'' tasks seemed to be under control of self-instructions, and the rules generated from Participants 1''s self-talk were effective in teaching computer skills to Participant 2. The silent dog method was useful in evaluating the possible role of self-generated rules in teaching computer skills to participants with autism.     

An economic model for the quality selection problem

The object of an economic model for the quality selection problem is to select the best parameter value for an input quality characteristic (X) so that the quality loss incurred on an output quality characteristic (Y) is minimized. The relation function between Y and X is assumed to be known throughout the article. In the work of Taguchi's experimentations, the selection of best parameter values is solved by two-step optimization when Y is adjustable. In the article, it is further extended to the case where Y is non-adjustable. An economic quality selection model with a general relation function is proposed based on a Taylor-series method for both adjustable and non-adjustable cases. A special case of a quality selection model with a quadratic relation function is also studied. A circuit example provided by Taguchi is presented to illustrate the use of this model.     

侵权人不明的高楼落物侵权的法律规制

《侵权责任法》第87条对侵权人不明的高楼落物侵权责任的承担进行了规定,具有保障受害人得到补偿、统一司法实践、降低致害概率的积极意义。但是,该规定也存在许多不足之处,主要表现为不利于社会和谐、容易引发道德风险、预防功能不充分、适用前提不明确等,没有很好地解决高楼落物侵权所面临的困境。采取社会救济、高楼落物赔偿基金、保险赔偿等多种途径相结合的救济方式,行政法、刑法与《侵权责任法》相配合的惩罚制度,不仅可以使受害人得到及时的、充分的补偿,而且可以有效预防此类侵权损害的发生。     

James - stein regression estimation in a prediction context

Two types of shrunken estimators of regression coefficients are studied in the context of stochastic predictor variables. Emphasis is placed on the choice of the shrinkage parameters, using a ‘deleted-observation’ concept which is motivated by predictive ability.     

Collapsibility of Conditional Graphical Models

Abstract. In this paper, we consider two kinds of collapsibility, that is, the model‐collapsibility and the estimate‐collapsibility, of conditional graphical models for multidimensional contingency tables. We show that these two definitions are equivalent, and propose a sufficient and necessary condition for them in terms of the interaction graph, which allows the collapsibility to be characterized and judged intuitively and conveniently.     

Exponential Inequalities in Stochastic Inverse Problems Using an Iterative Method

We consider an iterative method in order to solve linear inverse problems. We establish exponential inequalities for the probability of the distance between the approximated solution and the exact one for a calibration problem. The approximate is given by an iterative method with Gaussian errors. We treat an operator equation of the form Ax = u, where A is a compact operator.     

Bootstrap method in ranking and slippage problems

In this paper, the bootstrap method of Efron (1979) is given for a ranking and a slippage problem, where the ranking (or slippage) is with respect to the mean of the distributions. The method is also applied to obtain a confidence interval for the largest mean.