区域科技基础与科技环境综合评价体系研究

通过对科技基础和科技环境的评价 ,提出了指标体系的设计原则以及设计思路 ,建立了区域科技基础与科技环境综合评价指标体系 ,并对陕西省和北京市的有关资料进行了对比研究     

高等学校本科生毕业论文存在的问题及解决方案

对本科生毕业论文的地位和作用、毕业论文存在的主要问题以及提高本科生毕业论文质量的措施和途径方面进行了论述。     

湖北省高校科技成果转化的现状调查与分析

通过对高校科技工作管理者、高校教师以及部分企业的调研发现,目前影响湖北省高校科技成果转化的因素主要是政府管理、资金投入、高校观念转变与机制创新、企业重视等方面,并提出相应的对策与建议.     

论十七年文学的忧患意识——兼与夏志清教授商榷

夏志清教授曾认为“感时忧国”精神是中国现代文学的主要特征,其他各历史阶段的文学是不存在该精神的。但是,如果仔细辨析“感时忧国”精神的源流,深入分析十七年文学相关文本,我们会发现该精神不过是积淀在中国知识分子思想深层的忧患意识在新的历史条件下的置换与发展,它在十七年文学中并没有全然消失而是得到了一定程度的继承。对此,夏志清的相关文章也是充满悖论的。     

白色念珠菌促进荷瘤鼠肿瘤生长作用机制的初步研究

白色念珠菌感染荷瘤鼠动物模型，检测瘤重，菌量及免疫功能．结果提示白色念珠菌与肿瘤能彼此促进生长，抑制机体T淋巴细胞，红细胞免疫功能．T淋巴细胞转化试验与红细胞免疫粘附作用的结果变化一致，表明两者之间存在相互影响与调控．     

基于结构方程建模的区域科技创新能力评价

现有区域科技创新能力评价方法大多忽视了指标体系中各因素之间可能存在的相关关系和层级差异。结构方程建模能够过滤误差、同时考察不同层级变量间的直接作用与间接作用,找出变量间存在的内在结构关系,在分析区域科技创新能力评价指标体系各种变量间多种关系方面具有可行性和必要性。应用SEM时除了要注意选取恰当指标、构建合适模型以外,还应注意对样本容量、缺失数据的处理和信度效度的检验。     

Food security, consumption diversification and foreign exchange balances in Indonesia: Results from a multi-commodity simulation

Many countries adopt economic development strategies, within which an important element is the maintenance of low and stable food prices. In Indonesia, this is achieved principally through government subsidies to consumers of imported rice, the total cost of which fluctuates considerably from year to year, depending on world price movements and domestic production performance. Higher and possibly less stable domestic food prices appear inevitable in Indonesia, however, as the spectre of reduced oil revenues increases the government's concern with the cost of its food policy. Results from a stochastic simulation model of the agricultural sector show that the food price risk to which consumers and producers would be exposed in the absence of the stabilizing component of Indonesia's food policy would be considerable, rendering this component an unlikely area for significant change. A viable policy option appears to be the continuance of rice and wheat price stabilization, but with a graduated increase in the relative price of rice, reaching a total of 10% by 1985. Such a policy could result in net self-sufficiency in foreign exchange from staple food trade by 1990 and an improvement in aggregate economic surplus, although the expected decade improvement in food-energy consumption per capita would fall from 10% to 8%.     

Rethinking industrial citizenship: the role and meaning of work in an age of austerity

T. H. Marshall in his famous tract Citizenship and Social Class wrote briefly about what he called ‘industrial citizenship’, a type of belonging rooted in the workplace. Here Marshall's ideas are developed alongside a consideration of Durkheim's Professional Ethics and Civic Morals together with research material from the Guinness Company. It shows the way the Company actively sought to create ‘Guinness citizenship’ within its London brewery. The article draws out the ways in which the significance and potential of work based citizenship for ameliorating the ills of industrial society are clearly articulated in mid‐twentieth century Britain and echo earlier neglected Durkheimian sociological ideas on work. These ideas have real potential to inform contemporary academic and policy debates about the nature of capitalism and the form and content of work now and in the future.     

Fixed T dynamic panel data estimators with multifactor errors

This article analyzes a growing group of fixed T dynamic panel data estimators with a multifactor error structure. We use a unified notational approach to describe these estimators and discuss their properties in terms of deviations from an underlying set of basic assumptions. Furthermore, we consider the extendability of these estimators to practical situations that may frequently arise, such as their ability to accommodate unbalanced panels and common observed factors. Using a large-scale simulation exercise, we consider scenarios that remain largely unexplored in the literature, albeit being of great empirical relevance. In particular, we examine (i) the effect of the presence of weakly exogenous covariates, (ii) the effect of changing the magnitude of the correlation between the factor loadings of the dependent variable and those of the covariates, (iii) the impact of the number of moment conditions on bias and size for GMM estimators, and finally (iv) the effect of sample size. We apply each of these estimators to a crime application using a panel data set of local government authorities in New South Wales, Australia; we find that the results bear substantially different policy implications relative to those potentially derived from standard dynamic panel GMM estimators. Thus, our study may serve as a useful guide to practitioners who wish to allow for multiplicative sources of unobserved heterogeneity in their model.     

Type-I-error rate inflation in mixed models for repeated measures caused by ambiguous or incomplete model specifications

Pre-specification of the primary analysis model is a pre-requisite to control the family-wise type-I-error rate (T1E) at the intended level in confirmatory clinical trials. However, mixed models for repeated measures (MMRM) have been shown to be poorly specified in study protocols. The magnitude of a resulting T1E rate inflation is still unknown. This investigation aims to quantify the magnitude of the T1E rate inflation depending on the type and number of unspecified model items as well as different trial characteristics. We simulated a randomized, double-blind, parallel group, phase III clinical trial under the assumption that there is no treatment effect at any time point. The simulated data was analysed using different clusters, each including several MMRMs that are compatible with the imprecise pre-specification of the MMRM. T1E rates for each cluster were estimated. A significant T1E rate inflation could be shown for ambiguous model specifications with a maximum T1E rate of 7.6% [7.1%; 8.1%]. The results show that the magnitude of the T1E rate inflation depends on the type and number of unspecified model items as well as the sample size and allocation ratio. The imprecise specification of nuisance parameters may not lead to a significant T1E rate inflation. However, the results of this simulation study rather underestimate the true T1E rate inflation. In conclusion, imprecise MMRM specifications may lead to a substantial inflation of the T1E rate and can damage the ability to generate confirmatory evidence in pivotal clinical trials.