论科学发展观对“科学”自然观的否定

科学发展观与传统的“科学”自然观不同的是，后者认为自然只是实现人类发展的工具以及人类进行理性统治的对象，人与自然之间是一种简单的技术理性的统治关系。前者则坚持人与自然协调发展，社会的和谐必然建立在人与自然和谐的基础之上。科学发展观对“科学”自然观辩证的否定，要求应该正确看待自然的内在价值与人类的主体地位，在实践活动中做到合目的性与合规律性的统一。为了实现人与自然的可持续发展，应该正确看待科学技术的作用，达成人与自然、人与人的和解，最终实现生态共同体的完整和美丽。     

道家人学的现代意义

虽然道家人学对人的命运作出了悲观的、否定性的结论 ,但其在特定范围内显现出来的现代意义却不可否定。具体体现在三个方面 :(1 )对仁义道德学说的否定深刻揭示了其虚伪及其为统治者服务的本质 ,不仅成为人们否定宗法制度和宗法观念的有力的思想武器 ,而且带有鲜明的提倡个性解放的色彩 ;(2 )对人类文化的否定深刻揭示了文化的二重性 ,成为启发人们改造文化、发展文化的强大的思想动力 ;(3)对人的否定深刻揭示了人生的悲剧本质 ,开辟了对人的更高层次的肯定的思路。我们不赞成道家对人的否定 ,却无法反驳它对人类命运的终极关怀。     

A Generalized View on Continuum Regression

ABSTRACT. We generalize the relationship between continuum regression (Stone & Brooks, 1990) and ridge regression, by showing that any optimization principle will yield a regressor proportional to a ridge regressor, provided only that the principle implies maximizing a function of the regressor's sample correlation coefficient and its sample variance. This relationship shows that continuum regression as defined via ridge regression ("least squares ridge regression") is a more generally valid methodology than previously realized, and also opens up for alternative choices of its second and subsequent factors.     

有限时域内部分缺货的变质品生产-定价策略研究

研究有限时域内对变质产品同时安排生产计划和制定定价策略的问题。有限时域被划分成同等长度的多个周期,产品以固定的生产率间歇生产,并以固定的速率发生变质。需求同时依赖于时间和产品价格,在每个周期内都允许缺货且短缺量部分延迟订购。目的是要寻求一个使有限时域内系统的平均利润最大化的生产计划和定价策略。在算例中,分别讨论了需求随时间增大和减小两种不同的需求模式,采用Box复合算法,通过数值计算求得相应的最优生产计划和定价策略。分析表明：对于成长期或销售季初的产品,系统应采用“小批量多批次”的生产方式;而对于衰退期或销售季末的产品,应采用“大批量小批次”的生产方式。此外,不同类型的产品在不同需求模式下的定价策略有所不同：对于有限时域较短或变质率较高的产品,处于衰退期或销售季末的定价要低于成长期或销售季初的定价;相反,对于有限时域相对较长或变质率较低的产品,在衰退期或销售季末的最优定价要高于在成长期或销售季初的定价。     

The heterogeneous impact of insurance on health care demand among young adults: a panel data analysis*

Success of the recently implemented Affordable Care Act hinges on previously uninsured young adults enrolling in coverage. How will increased coverage, in turn, affect health care utilization? This paper applies variable coefficient panel models to estimate the impact of insurance on health care utilization among young adults. The econometric setup, which accommodates nonlinear usage measures, attempts to address the potential endogeneity of insurance status. The main finding is that, for approximately one-fifth of young adults, insurance does not substantially alter health care consumption. On the other hand, another one-fifth of young adults have large moral hazard effects. Among that group, insurance increases the probability of having a routine checkup by 71–120%, relative to mean probabilities, and insurance increases the number of curative-based doctor office visits by 67–181%, relative to the mean number of visits.     

Bayesian inference for a partially observed birth–death process using data on proportions

Stochastic kinetic models are often used to describe complex biological processes. Typically these models are analytically intractable and have unknown parameters which need to be estimated from observed data. Ideally we would have measurements on all interacting chemical species in the process, observed continuously in time. However, in practice, measurements are taken only at a relatively few time‐points. In some situations, only very limited observation of the process is available, for example settings in which experimenters can only observe noisy observations on the proportion of cells that are alive. This makes the inference task even more problematic. We consider a range of data‐poor scenarios and investigate the performance of various computationally intensive Bayesian algorithms in determining the posterior distribution using data on proportions from a simple birth‐death process.     

Analytical expression for the integrated squared density partial derivative of a multivariate normal mixture distribution

This paper describes the derivation of the analytical expression for the integrated squared density partial derivative (ISDPD) in a multivariate normal mixture model. The analytical expression of the ISDPD is derived for arbitrary dimensions with partial derivative orders up to four. Although the value of the ISDPD can be obtained by using the common numerical integration via mathematical software (such as Maple, Mathematica, Matlab, etc), it suffers from the limitation of computation time when the dimension or the number of mixture components of the considered multivariate normal mixture model are large. Moreover, numerical comparison indicates the benefits of speed offered by our proposed analytical expression are far superior to the numerical integration performed by Maple. With this analytical expression, the ISDPD can apace be calculated with no assistance of numerical integration.     

论网络语言中谐音的运用

网络语言是网络时代出现的一种新型语篇类型,是语言的一种功能变体,其标志性语体特征是变异性和个性化.而许多网络词语和语句正是运用了谐音的手段,使网络语言呈现出其特有的魅力.最后,文章对网络语言的发展和规范化问题进行了探讨.     

广义Gamma分布簇广义线性混合模型的构建

 本文在广义Gamma分布簇基础上引入异质性来构建广义线性混合模型。本文构建的广义Gamma分布簇广义线性混合模型在广义线性混合模型的框架下分析,通过参数重整技术把广义Gamma分布簇变量的建模问题与指数分布簇变量的建模问题联系起来,模型推断可以方便地利用广义线性混合模型和广义线性模型的研究成果,同时也可以方便地推广到其他模型。三参数广义Gamma分布可以收缩到两参数的Gamma分布、Weibull分布或指数分布,能降低模型误设的风险,还能便利地分析误差结构。