创业营销策划模拟训练系统的设计构想

营销策划模拟训练系统是一个新课题,本文从采用的技术、营销策划模拟训练系统模块设计、营销策划模拟训练系统中模块信息的处理流程、营销策划模拟训练系统中模块信息的处理方法及页面效果,设计中应注意的问题五个方面,简要介绍了营销策划模拟训练系统的设计构想。希望给创业教育的实训研究提供一条研究途径,同时,营销策划设计能在计算机上模拟进行,会提高设计效率,引导学生学会怎样设计营销策划书,按照什么样的流程设计,设计中应注意哪些问题等,避免学生走弯路。     

运用模拟法庭教学提高法律人才素质

法学科学的实践性和法律工作的经验性及法学教育的特殊性 ,决定了模拟法庭是实践性法学教育的重要教学方法。模拟法庭教学给学生提供独立分析思考和发挥其创造性思维能力的空间 ,其教学形式的现场性、内容的丰富性、方法的灵活性和过程的趣味性 ,有利于吸引学生学习的注意力 ,调动学生学习的积极性     

催化剂对TiO2薄膜性能的影响

采用溶胶-凝胶法在普通载玻片上制备了均匀透明的TiO2薄膜。分析了催化剂在溶胶制备过程中的作用,以及其对制成的TiO2薄膜的性能的影响。主要分析了盐酸、乙酸、硝酸、硫酸等几种催化剂对TiO2薄膜的晶体结构、晶粒尺寸、光学性能的影响。实验结果表明,选择盐酸为催化剂,薄膜生长取向较好,晶粒尺寸较大,光透过率最好。     

能力与资源双重约束下的启发式组合生产计划研究

企业面向市场的产品交付能力,一般受约束于各制造环节的生产能力,而各制造环节的生产能力又受约束于其可得的制造资源。研究了在局部生产能力具有上限,且总体制造资源受约束的情况下,如何制定生产计划,以使总体利润最大的问题。建立了基于能力和资源双重约束下的生产计划组合优化模型,设计了一种"双线退火"的模拟退火算法,来启发式求解此类连续变量组合优化问题,并以大量算例计算验证了双线模拟退火算法的效率和正确性。最后结合某耐火材料企业进行了应用分析研究,展示了模型的应用原理和算法的求解效果。     

More Efficient Approximation of Multiple Integrals using Steady State Ranked Simulated Sampling

This article extends the concept of using the steady state ranked simulated sampling approach (SRSIS) by Al-Saleh and Samawi (2000) for improving Monte Carlo methods for single integration problem to multiple integration problems. We demonstrate that this approach provides unbiased estimators and substantially improves the performance of some Monte Carlo methods for bivariate integral approximations, which can be extended to multiple integrals’ approximations. This results in a significant reduction in costs and time required to attain a certain level of accuracy. In order to compare the performance of our method with the Samawi and Al-Saleh (2007) method, we use the same two illustrations for the bivariate case.     

Steady-state Gibbs sampler estimation for lung cancer data

This paper is based on the application of a Bayesian model to a clinical trial study to determine a more effective treatment to lower mortality rates and consequently to increase survival times among patients with lung cancer. In this study, Qian et al. [13 J. Qian, D.K. Stangl, and S. George, A Weibull model for survival data: Using prediction to decide when to stop a clinical trial, in Bayesian Biostatistics, D. Berry and D. Stangl, eds., Marcel Dekker, New York, 1996, pp. 187–205. [Google Scholar]] strived to determine if a Weibull survival model can be used to decide whether to stop a clinical trial. The traditional Gibbs sampler was used to estimate the model parameters. This paper proposes to use the independent steady-state Gibbs sampling (ISSGS) approach, introduced by Dunbar et al. [3 M. Dunbar, H.M. Samawi, R. Vogel, and L. Yu, A more efficient Gibbs sampler estimation using steady state simulation: Application to public health studies, J. Stat. Simul. Comput. 10.1080/00949655.2013.770857.[Taylor &; Francis Online] , [Google Scholar]], to improve the original Gibbs sampler in multidimensional problems. It is demonstrated that ISSGS provides accuracy with unbiased estimation and improves the performance and convergence of the Gibbs sampler in this application.     

Classification Error in Dynamic Discrete Choice Models: Implications for Female Labor Supply Behavior

Two key issues in the literature on female labor supply are (i) whether persistence in employment status is due to unobserved heterogeneity or state dependence, and (ii) whether fertility is exogenous to labor supply. Until recently, the consensus was that unobserved heterogeneity is very important and fertility is endogenous. Hyslop (1999) challenged this. Using a dynamic panel probit model of female labor supply including heterogeneity and state dependence, he found that adding autoregressive errors led to a substantial diminution in the importance of heterogeneity. This, in turn, meant he could not reject that fertility is exogenous. Here, we extend Hyslop (1999) to allow classification error in employment status, using an estimation procedure developed by Keane and Wolpin (2001) and Keane and Sauer (2005). We find that a fairly small amount of classification error is enough to overturn Hyslop's conclusions, leading to overwhelming rejection of the hypothesis of exogenous fertility.     

A more efficient Gibbs sampler estimation using steady-state simulation: applications to public health studies

Markov chain Monte Carlo methods, in particular, the Gibbs sampler, are widely used algorithms both in application and theoretical works in the classical and Bayesian paradigms. However, these algorithms are often computer intensive. Samawi et al. [Steady-state ranked Gibbs sampler. J. Stat. Comput. Simul. 2012;82(8), 1223–1238. doi:10.1080/00949655.2011.575378] demonstrate through theory and simulation that the dependent steady-state Gibbs sampler is more efficient and accurate in model parameter estimation than the original Gibbs sampler. This paper proposes the independent steady-state Gibbs sampler (ISSGS) approach to improve the original Gibbs sampler in multidimensional problems. It is demonstrated that ISSGS provides accuracy with unbiased estimation and improves the performance and convergence of the Gibbs sampler in multidimensional problems.     

Virtual World Interview Skills Training for Students Studying Health Professions

This study examined the effectiveness of a health professional virtual world interview skills trainer (IST), in comparison to classroom training via interview role-plays with peers. Students of psychology, physiotherapy, and general health science learned interviewing skills through role-play and virtual world training. Students were randomly allocated to a role-play-first, or IST-first condition. Interviewing self-efficacy was measured at baseline and after each of the learning experiences. In total, 72 students completed all surveys. Students’ reported an increase in interviewing self-efficacy significantly after the IST experience than after role-play.