土木工程虚拟仿真实验教学体系探索与构建

西安建筑科技大学土木工程虚拟仿真实验教学中心坚持以学生为主体,统筹协调理论教学和实验教学、虚拟教学与实体教学、虚拟技术与现实技术的结合,构建多层次、立体化、开放式、虚实结合的虚拟仿真实验教学体系。创新虚拟仿真实验教学新理念,开拓虚拟仿真实验教学的三维立体教学思路,促进了学生知识、能力、素质的全面发展,实现虚拟仿真实验教学的新发展,为实验教学的发展做出新的贡献。     

Phase I trial design for drug combinations with Bayesian model averaging

Various statistical models have been proposed for two‐dimensional dose finding in drug‐combination trials. However, it is often a dilemma to decide which model to use when conducting a particular drug‐combination trial. We make a comprehensive comparison of four dose‐finding methods, and for fairness, we apply the same dose‐finding algorithm under the four model structures. Through extensive simulation studies, we compare the operating characteristics of these methods in various practical scenarios. The results show that different models may lead to different design properties and that no single model performs uniformly better in all scenarios. As a result, we propose using Bayesian model averaging to overcome the arbitrariness of the model specification and enhance the robustness of the design. We assign a discrete probability mass to each model as the prior model probability and then estimate the toxicity probabilities of combined doses in the Bayesian model averaging framework. During the trial, we adaptively allocated each new cohort of patients to the most appropriate dose combination by comparing the posterior estimates of the toxicity probabilities with the prespecified toxicity target. The simulation results demonstrate that the Bayesian model averaging approach is robust under various scenarios. Copyright © 2015 John Wiley & Sons, Ltd.     

Model Selection Information Criteria in Latent Class Models with Missing Data and Contingency Question

Latent class analysis (LCA) has been found to have important applications in social and behavioral sciences for modeling categorical response variables, and nonresponse is typical when collecting data. In this study, the nonresponse mainly included “contingency questions” and real “missing data.” The primary objective of this research was to evaluate the effects of some potential factors on model selection indices in LCA with nonresponse data.

We simulated missing data with contingency questions and evaluated the accuracy rates of eight information criteria for selecting the correct models. The results showed that the main factors are latent class proportions, conditional probabilities, sample size, the number of items, the missing data rate, and the contingency data rate. Interactions of the conditional probabilities with class proportions, sample size, and the number of items are also significant. From our simulation results, the impact of missing data and contingency questions can be amended by increasing the sample size or the number of items.     

"积极教学法"融入高校思政课教学的探析

思政课在培养社会主义合格建设者的过程中发挥着无可替代的作用,要持之以恒重视高校思政课,关心高校思政课发展,大力推动高校思政课建设,努力探索高校思政课建设的好方法、好途径."积极教学法"以其独具特色的作用和效果在助力高校思政课教学方面是一个有益的尝试.该文结合高校学生和教学的实际情况,对"积极教学法"融入思政课教学进行了探索.     

Serious Leisure,Motivation to Volunteer and Subjective Well-Being of Volunteers in Recreational Events

In this paper, we examined the relationships between motivation to volunteer, serious leisure, and the subjective well-being of volunteers at the 2010 Taipei International Flora Exposition. This study used convenience sampling to recruit a total of 1,094 volunteers. Confirmatory factor analysis and structural equation modeling were conducted for data analysis. The results of this study revealed that serious leisure positively associated with both motivation to volunteer and volunteers’ subjective well-being, while the association between motivation to volunteer and subjective well-being, at a level of 0.5, was not significant. These results suggest that greater attention in future research should be paid to the relationship between motivation to volunteer and volunteers’ subjective well-being, with a focus placed on implications for volunteers’ subjective well-being.