基于Web教务管理系统的设计与实现

本文总结了采用UML建模与.NET平台下的教务管理系统的开发设计,并从教务管理流程、系统平台、系统体系结构、系统功能、数据库选择等方面论述了系统的构建过程及实现方法。     

长株潭城市群-中部新经济增长极的初步分析

本文对长株潭成为中部新的增长极进行了必然性分析、理论分析和现状分析,通过区位、经济总量、科教资源等方面与武汉、郑州等有可能成为新增长极的城市的比较,认为长株潭的条件更为充分。本文还分析了长株潭这个新的经济增长极形成后,对湖南省及我国中部地区经济和社会发展带来的积极影响。     

Bayesian Analysis of Mixture Structural Equation Models With an Unknown Number of Components

Multivariate heterogenous data with latent variables are common in many fields such as biological, medical, behavioral, and social-psychological sciences. Mixture structural equation models are multivariate techniques used to examine heterogeneous interrelationships among latent variables. In the analysis of mixture models, determination of the number of mixture components is always an important and challenging issue. This article aims to develop a full Bayesian approach with the use of reversible jump Markov chain Monte Carlo method to analyze mixture structural equation models with an unknown number of components. The proposed procedure can simultaneously and efficiently select the number of mixture components and conduct parameter estimation. Simulation studies show the satisfactory empirical performance of the method. The proposed method is applied to study risk factors of osteoporotic fractures in older people.     

对人力资本投资的理性思考

人力资本投资对经济增长具有特殊重要作用。然而，人力资本投资存在产权障碍和计量障碍，这导致其投资激励不足。因此，必须对人力资本产权制度和人力资本核算体制进行改革和创新。     

Exploratory and Confirmatory Factor Analysis of the School Level Environment Questionnaire (SLEQ)

The purpose of the present study was to validate an existing school environment instrument, the School Level Environment Questionnaire (SLEQ). The SLEQ consists of 56 items, with seven items in each of eight scales. One thousand, one hundred and six (1106) teachers in 59 elementary schools in a southwestern USA public school district completed the instrument. An exploratory factor analysis was undertaken for a random sample of half of the completed surveys. Using principal axis factoring with oblique rotation, this analysis suggested that 13 items should be dropped and that the remaining 43 items could best be represented by seven rather than eight factors. A confirmatory factor analysis was run with the other half of the original sample using structural equation modeling. Examination of the fit indices indicated that the model came close to fitting the data, with goodness-of-fit (GOF) coefficients just below recommended levels. A second model was then run with two of the seven factors, with their associated items removed. That left five factors with 35 items. Model fit was improved. A third model was tried, using the same five factors with 35 items but with correlated residuals between some of the items within a factor. This model seemed to fit the data well, with GOF coefficients in recommended ranges. These results led to a refined, more parsimonious version of the SLEQ that was then used in a larger study. Future research is needed to see if this model would fit other samples in different elementary schools and in secondary schools both in the USA and in other countries. This revised version was published online in July 2006 with corrections to the Cover Date.     

Fitting Structural Equation Model Trees and Latent Growth Curve Mixture Models in Longitudinal Designs: The Influence of Model Misspecification

When conducting longitudinal research, the investigation of between-individual differences in patterns of within-individual change can provide important insights. In this article, we use simulation methods to investigate the performance of a model-based exploratory data mining technique—structural equation model trees (SEM trees; Brandmaier, Oertzen, McArdle, & Lindenberger, 2013)—as a tool for detecting population heterogeneity. We use a latent-change score model as a data generation model and manipulate the precision of the information provided by a covariate about the true latent profile as well as other factors, including sample size, under the possible influences of model misspecifications. Simulation results show that, compared with latent growth curve mixture models, SEM trees might be very sensitive to model misspecification in estimating the number of classes. This can be attributed to the lower statistical power in identifying classes, resulting from smaller differences of parameters prescribed by the template model between classes.     

水浇地黄芩生育规律及栽培技术的研究

黄芩是应用较广的中药材 ,商品来源主要依靠野生资源 ,由于盲目采挖 ,资源濒临绝迹。在半干旱地区人工种植黄芩生长期长 ,产量低 ,质量差 ,不能满足内外销的需求。我们经过连续 3年的研究 ,基本摸清了黄芩的生育规律及对生态环境条件的要求 ,并探索发现了培育高产、优质水浇地 1年生黄芩的栽培及初加工技术 ,为黄芩的进一步推广应用提供了科学依据。     

Diversification in Argentine higher education: Dimensions and impact of private sector growth

Private education is a remarkably dynamic area of change in post-secondary education, particularly in Latin America. Evidence of growth in the number of private institutions and enrollment suggests that higher education is becoming increasingly diversified into two sectors – public and private. While this appears to be true throughout Latin America, and much of the developing world, recent evidence from Argentina casts doubt on the degree to which private sector growth trends may actually translate into a significant increase in the impact of private institutions in higher education, where impact is proxied by the relative share of student enrollment and graduates. This study explores the dimensions and impact of private expansion in Argentina, and places the findings in a comparative (regional) and theoretical framework. The analysis shows that, despite unprecedented growth in the number of private universities, the public sector remains the dominant provider of university education. Private institutions, while certainly more numerous and training a growing number of students, do not account for a larger share of university enrollment. They have, however, developed specific niches (e.g., in graduate level training and in urban areas). Significantly, following a pattern of institutional proliferation found throughout Latin America, some private universities offer elite alternatives to prestigious public institutions. The findings serve to qualify apparent `gains' in private higher education and to underscore the need for further research into the relevant intrasectoral (public and private) dimensions of change in post-secondary education.     

抓好"数学建模"推动高职数学教学改革

随着计算机的广泛使用，对高职数学教学提出了全新的要求。为了提高学生借助于计算机解决实际问题的能力，高职数学教学应结合教学内容，选集一些“数学建模”案例向学生介绍．使学生了解数学建模的含义，启迪学生的数学思维，促使他们更好地应用数学、品味数学、理解数学和热爱数学．促进学生创新能力的培养。     

论高等教育与区域经济的协调发展

在知识经济的时代浪潮中，高等教育与区域经济协调发展越来越凸显其双赢功能。在正视现状、分析问题的基础上，借鉴国外成功经验，从高等教育宏观管理体制创新、大中型企业的意识、国家政策激励等角度提出了建议和对策，为实现我国高等教育与区域经济的互动和可持续性发展提供了可行性思路。