十所高师院校通识课程设置现状分析

高师院校在进行通识教育实践的过程中,仍然面临着不少问题学生选择的自由度过小;学科领域划分不合理;课程设置过于随意;课程设置模式僵化。为此,高师院校应从以下几方面加以改进扩大学生选课自主权;构建良好的通识教育体系;完善主辅修与双学位制度;发挥自己的特色;加强高校之间的联合;搞好校园人文环境建设。     

简述宋代漕运中押纲武臣与舟卒的营私获利活动

宋代漕运由低级武臣押纲,又有舟卒随船,是其重要特点。押纲武臣和舟卒等同纲船上其他人员营私舞弊,从中获利的不法行为频频发生。营私获利活动包括纲运时夹带私货贩易、在与一般交装中营私舞弊、直接侵盗官物、擅自靠港、违程住滞及南宋时期的＂随纲＂等。     

"技术"课程的师资培养探讨

选取湛江师范学院机电技术、电子技术和计算机教育3个专业的在校师范生作为对象,对他们的"技术知识"和"技术素养"作了问卷调查.通过分析调查数据,针对新课程下中学"技术"课程的师资培养进行了探讨,进而对相关课程的分解与设置提出了初步的看法与建议.     

论我国社会主义时期党和国家的民族纲领

我国社会主义时期党和国家的民族政策的总原则是民族平等、民族团结、民族共同繁荣;民族政策的根本立场、根本宗旨是民族平等、团结、自治、发展。新世纪新阶段党和国家民族工作的主题是各民族共同团结奋斗、共同繁荣发展。     

无学科界面的大学通识教育模式及其构建

遵循整体观和相对性理念,在无学科界面的科学与人文整合模式的基础上,进一步提出无学科面的自然融合型的大学通识教育模式和内容结构.该内容结构包括:广义自然中,各层次系统的认知、共性的概念、理论和规律,各层次系统共性规律和理论的比较、评价.它融知识精华、素质教育和创新教育于一体,充分反映了通识教育的真谛.     

论人口老龄化进程与全科医学的互动关系

全科医学是 2 0世纪 6 0年代在北美兴起的一门综合性临床医学学科 ,它是以人为中心 ,以维护和促进健康为目标 ,向个人、家庭与社区提供连续、综合、便捷的基本卫生服务的新型医学学科。人口老龄化进程对全科医学形成和发展有重要影响。全科医学的发展对我国人口老龄化进程也有重大影响 ,有助于社区卫生工作的完善与发展、加快社区养老社会化服务的进程 ,有助于实现健康老龄化。     

Asymptotic expansions of density of normalized extremes from logarithmic general error distribution

Logarithmic general error distribution is an extension of the log-normal distribution. In this paper, the asymptotic expansions of densities of normalized maximum from logarithmic general error distribution are derived under two different kinds of normalized constants. By applying the main results, the higher-order expansions of moments of maxima are established.     

Goodness-of-fit test for exponentiality based on spacings for general progressive Type-II censored data

There have been numerous tests proposed to determine whether or not the exponential model is suitable for a given data set. In this article, we propose a new test statistic based on spacings to test whether the general progressive Type-II censored samples are from exponential distribution. The null distribution of the test statistic is discussed and it could be approximated by the standard normal distribution. Meanwhile, we propose an approximate method for calculating the expectation and variance of samples under null hypothesis and corresponding power function is also given. Then, a simulation study is conducted. We calculate the approximation of the power based on normality and compare the results with those obtained by Monte Carlo simulation under different alternatives with distinct types of hazard function. Results of simulation study disclose that the power properties of this statistic by using Monte Carlo simulation are better for the alternatives with monotone increasing hazard function, and otherwise, normal approximation simulation results are relatively better. Finally, two illustrative examples are presented.     

Total Economic Consequences of an Influenza Outbreak in the United States

Pandemic influenza represents a serious threat not only to the population of the United States, but also to its economy. In this study, we analyze the total economic consequences of potential influenza outbreaks in the United States for four cases based on the distinctions between disease severity and the presence/absence of vaccinations. The analysis is based on data and parameters on influenza obtained from the Centers for Disease Control and the general literature. A state‐of‐the‐art economic impact modeling approach, computable general equilibrium, is applied to analyze a wide range of potential impacts stemming from the outbreaks. This study examines the economic impacts from changes in medical expenditures and workforce participation, and also takes into consideration different types of avoidance behavior and resilience actions not previously fully studied. Our results indicate that, in the absence of avoidance and resilience effects, a pandemic influenza outbreak could result in a loss in U.S. GDP of $25.4 billion, but that vaccination could reduce the losses to $19.9 billion. When behavioral and resilience factors are taken into account, a pandemic influenza outbreak could result in GDP losses of $45.3 billion without vaccination and $34.4 billion with vaccination. These results indicate the importance of including a broader set of causal factors to achieve more accurate estimates of the total economic impacts of not just pandemic influenza but biothreats in general. The results also highlight a number of actionable items that government policymakers and public health officials can use to help reduce potential economic losses from the outbreaks.