模拟教育实习的实践与思考

英语在职教师在教育学院本科的两年学习期间,按照课程设计和教学计划,教育实习是必不可少的.它是对于学员对英语语言教学理论的掌握以及在实践中的应用能力的检验.学员在校的模拟教育实习的方法、步骤包括确定目标、看录相、教学设计、说课、讲课、评估等.     

提高H13压铸模寿命的热处理工艺

热处理是影响模具寿命的关键因素,起着决定的作用。本文以H13压铸模为例,从退火、淬火、回火到氮化处理,介绍了提高压铸模寿命的热处理工艺,并详细地分析了每一热处理工序目的及所应达到的温度指标。     

Scheduling aerial resource operations for the extinction of large-scale wildfires

The significant increase in large-scale wildfire events in recent decades, caused primarily by climate change, has resulted in a growing number of aerial resources being used in suppression efforts. Present-day management lacks efficient and scalable algorithms for complex aerial resource allocation and scheduling for the extinction of such fires, which is crucial to ensuring safety while maximizing the efficiency of operations. In this work, we present a Mixed Integer Linear Programming (MILP) optimization model tailored to large-scale wildfires for the daily scheduling of aerial operations. The main objective is to achieve a prioritized target water flow over all areas of operation and all time periods. Minimal target completion across individual areas and time periods and total water output are also maximized as secondary and ternary objectives, respectively. An efficient and scalable multi-start heuristic, combining a randomized greedy approach with simulated annealing employing large neighborhood search techniques, is proposed for larger instances. A diverse set of problem instances is generated with varying sizes and extinction strategies to test the approaches. Results indicate that the heuristic can achieve (near)-optimal solutions for smaller instances solvable by the MILP, and gives solutions approaching target water flows for larger problem sizes. The algorithm is parallelizable and has been shown to give promising results in a small number of iterations, making it applicable for both night-before planning and, more time-sensitive, early-morning scheduling.     

Steady-state ranked Gibbs sampler

Gibbs sampler as a computer-intensive algorithm is an important statistical tool both in application and in theoretical work. This algorithm, in many cases, is time-consuming; this paper extends the concept of using the steady-state ranked simulated sampling approach, utilized in Monte Carlo methods by Samawi [On the approximation of multiple integrals using steady state ranked simulated sampling, 2010, submitted for publication], to improve the well-known Gibbs sampling algorithm. It is demonstrated that this approach provides unbiased estimators, in the case of estimating the means and the distribution function, and substantially improves the performance of the Gibbs sampling algorithm and convergence, which results in a significant reduction in the costs and time required to attain a certain level of accuracy. Similar to Casella and George [Explaining the Gibbs sampler, Am. Statist. 46(3) (1992), pp. 167–174], we provide some analytical properties in simple cases and compare the performance of our method using the same illustrations.     

Updating a nonlinear discriminant function estimated from a mixture of two Burr Type III distributions

The main contribution of this paper is is updating a nonlinear discriminant function on the basis of data of unknown origin. Specifically a procedure is developed for updating the nonlinear discriminant function on the basis of two Burr Type III distributions (TBIIID) when the additional observations are mixed or classified. First the nonlinear discriminant function of the assumed model is obtained. Then the total probabilities of misclassification are calculated. In addition a Monte carlo simulation runs are used to compute the relative efficiencies in order to investigate the performance of the developed updating procedures. Finally the results obtained in this paper are illustrated through a real and simulated data set.     

模拟情景训练在《企业管理》教学中的应用

<企业管理>教学中,一个突出问题是如何更好地培养、提高学生的实践技能.开展模拟情景训练式教学,使学生身临其境地分析处理各类管理问题,能够较好地解决教学中理论联系实际的难题.     

提高非直喷柴油机热力学模型模拟精度的途径

本文探讨了非直喷式柴油机零维热力学模型计算精度的有关问题．指出了合理选择主、副室的代用燃烧函数和正确确定主、副室间连接通道瞬态流量系数，是提高模拟计算精度的有效途径；并在S195涡流室柴油机上得到实际验证．     

论南朝拟公文体俳谐文

南北朝时期,一些南朝文人模拟公文形式创作了许多俳谐文。这些俳谐文的出现并非偶然现象,可以从当时特定的时代背景下文体的发展变化、文人的思想观念等方面找到其原因。从创作目的上看,其中有的具有明显的现实针对性,有的纯为解颐之资,但在有意无意间也反映出现实的内容。在艺术风格和创作技巧上,它们独具特色,而又与当时整个文坛的风气有一致之处。     

Marginal maximum a posteriori estimation using Markov chain Monte Carlo

Markov chain Monte Carlo (MCMC) methods, while facilitating the solution of many complex problems in Bayesian inference, are not currently well adapted to the problem of marginal maximum a posteriori (MMAP) estimation, especially when the number of parameters is large. We present here a simple and novel MCMC strategy, called State-Augmentation for Marginal Estimation (SAME), which leads to MMAP estimates for Bayesian models. We illustrate the simplicity and utility of the approach for missing data interpolation in autoregressive time series and blind deconvolution of impulsive processes.     

Near-optimal designs for dual channel microarray studies

Summary.  Much biological and medical research employs microarray studies to monitor gene expression levels across a wide range of organisms and under many experimental conditions. Dual channel microarrays are a common platform and allow two samples to be measured simultaneously. A frequently used design uses a common reference sample to make conditions across different arrays comparable. Our aim is to formulate microarray experiments in the experimental design context and to use simulated annealing to search for near-optimal designs. We identify a subclass of designs, the so-called interwoven loop designs, that seems to have good optimality properties compared with the near-optimal designs that are found by simulated annealing. Commonly used reference designs and dye swap designs are shown to be highly inefficient.