内燃机原理实验的教学改革实践

阐述了实验教学的重要性,并从教学内容、思路、教学队伍建设及教学的各个环节介绍了<内燃机原理>实验的改革,提高了学生独立解决问题的能力.     

How to Compete Against a Behavioral Newsvendor

We investigate newsvendor ordering behavior under competition. We present a laboratory experiment that documents the behavioral ordering regularities in competitive newsvendor environments, and an analytical model extending the standard theory of newsvendor competition by including an optimal best‐response policy for competing with a behaviorally biased newsvendor. We test the effectiveness of this policy using an out‐of‐sample experiment and find that it results in improved market share, service level and profitability.     

浅裂纹试样塑性位移与载荷关系的实验标定

本文用实验验证了对于两种中强度，低韧性的材料18MnMoNb10MnMoNbVCu，Ernst分离函数原理P＝g（a／W）H（△P／W）仍适用，并由此用实验标定了两种材料的浅裂纹试样的g（a／W）表达式，在此基础上，得到了浅裂纹试样塑性位移与载荷的函数关系式。     

Optimal experimental design criterion for discriminating semiparametric models

This paper studies the optimal experimental design problem to discriminate two regression models. Recently, López-Fidalgo et al. [2007. An optimal experimental design criterion for discriminating between non-normal models. J. Roy. Statist. Soc. B 69, 231–242] extended the conventional T-optimality criterion by Atkinson and Fedorov [1975a. The designs of experiments for discriminating between two rival models. Biometrika 62, 57–70; 1975b. Optimal design: experiments for discriminating between several models. Biometrika 62, 289–303] to deal with non-normal parametric regression models, and proposed a new optimal experimental design criterion based on the Kullback–Leibler information divergence. In this paper, we extend their parametric optimality criterion to a semiparametric setup, where we only need to specify some moment conditions for the null or alternative regression model. Our criteria, called the semiparametric Kullback–Leibler optimality criteria, can be implemented by applying a convex duality result of partially finite convex programming. The proposed method is illustrated by a simple numerical example.     

自然主义在斯蒂芬·克莱恩《红色英勇勋章》中的体现

作为美国自然主义小说的先驱,斯蒂芬·克莱恩采纳“实验小说”的风格创作了《红色英勇勋章》。小说探索了自然主义的本质：自然的不可抗拒及人类对自然的依赖性;语言朴实无华,简洁明了,通俗易懂,体现了自然主义小说的特征。     

四级翻译改革后课堂翻译训练实验研究

随着大学英语四级考试改革的不断深化,英语翻译日益受到重视,体现了对学生英语输出能力的更高要求。通过实验研究,发现经过一定时期的翻译训练,学生的翻译水平有所提高。因而高校英语教师应改变翻译教学边缘化的现状,重视培养学生的翻译能力,提高学生的翻译水平。     

Status quo bias in decision making

Most real decisions, unlike those of economics texts, have a status quo alternative—that is, doing nothing or maintaining one's current or previous decision. A series of decision-making experiments shows that individuals disproportionately stick with the status quo. Data on the selections of health plans and retirement programs by faculty members reveal that the status quo bias is substantial in important real decisions. Economics, psychology, and decision theory provide possible explanations for this bias. Applications are discussed ranging from marketing techniques, to industrial organization, to the advance of science.     

Two-person sequential bargaining behavior with exogenous breakdown

We examine bargaining behavior in a noncooperative game in which players alternate in making and responding to proposals over the division of a given surplus. Although the number of bargaining periods is unlimited and time is not discounted, the bargaining is subject to exogenous breakdown at each period with a fixed probability which is common knowledge. We manipulate three probabilities of break-down in a between-subjects design that allows comparison with previous studies of two-person bargaining with time discounting. Assuming that subjects maximize expected utility, and this utility is measured by monetary payoffs, our results reject both the subgame perfect equilibrium and equal split solutions. Data analyses reveal that a substantial percentage of subjects behave adaptively in that they systematically search for the highest acceptable demands.     

Bayesian optimal sequential design for nonparametric regression via inhomogeneous evolutionary MCMC

We develop a novel computational methodology for Bayesian optimal sequential design for nonparametric regression. This computational methodology, that we call inhomogeneous evolutionary Markov chain Monte Carlo, combines ideas of simulated annealing, genetic or evolutionary algorithms, and Markov chain Monte Carlo. Our framework allows optimality criteria with general utility functions and general classes of priors for the underlying regression function. We illustrate the usefulness of our novel methodology with applications to experimental design for nonparametric function estimation using Gaussian process priors and free-knot cubic splines priors.     

园林专业实验课程的项目式模块化构建及教学实践

在对国内外课程模式进行研究的基础上,按照项目式模块化课程构建的基本思路,对园林专业课程中实验内容进行了调整和重新构建,并对部分课程内容进行了教学实践。教学实践充分证明:该课程教学激发了学生主动学习的积极性,满足了相似专业不同培养目标及培养方向的学生对实验课程的不同需要,对学生的考查评价更为科学合理;同时在课程构建的过程也推动了学校的教学改革和实验室建设。