发生认识论的哲学来源

皮亚杰的发生认识论并不是一个纯粹的发展心理学理论,而是一个关于认知的结构及其发生与发展的理论。发生认识论的建立有其深厚的哲学根源:它是在批判传统认识论中的经验主义和理性主义的基础上建立起来的。皮亚杰看到,无论是经验主义方法,还是理性主义方法对于认知的结构及其发生与发展的解释都是片面的,因为前者忽视了结构,后者假设了结构而没有注意到结构发展的自然进程。皮亚杰在对两者辨证综合的基础上,提出“发生学的结构主义”,指出认识的发生与发展是因为我们作为生物先天地就包含着这样的结构,而且是因为我们作为生物对结构进行主动建构的结果。     

What can we learn from twin studies? A comprehensive evaluation of the equal environments assumption

Twin studies are a major source of information about genetic effects on behavior, but they depend on a controversial assumption known as the equal environments assumption (EEA): that similarity in co-twins’ environments is not predictive of similarity in co-twin outcomes. Although evidence has largely supported the EEA, critics have claimed that environmental similarity has not been measured well, and most studies of the EEA have focused on outcomes related to health and psychology. This article addresses these limitations through (1) a reanalysis of data from the most cited study of the EEA, Loehlin and Nichols (1976), using better measures, and through (2) an analysis of nationally representative twin data from MIDUS using more comprehensive controls on a wider variety of outcomes than previous studies. Results support a middle ground position; it is likely that the EEA is not strictly valid for most outcomes, but the resulting bias is likely modest.     

Choosing summary statistics by least angle regression for approximate Bayesian computation

Bayesian statistical inference relies on the posterior distribution. Depending on the model, the posterior can be more or less difficult to derive. In recent years, there has been a lot of interest in complex settings where the likelihood is analytically intractable. In such situations, approximate Bayesian computation (ABC) provides an attractive way of carrying out Bayesian inference. For obtaining reliable posterior estimates however, it is important to keep the approximation errors small in ABC. The choice of an appropriate set of summary statistics plays a crucial role in this effort. Here, we report the development of a new algorithm that is based on least angle regression for choosing summary statistics. In two population genetic examples, the performance of the new algorithm is better than a previously proposed approach that uses partial least squares.     

提高遗传学教学效果的改革与实践

在教学时数压缩、生源构成复杂的新形势下,以细菌和病毒的遗传为例,总结了提高遗传学教学效果的课程改革方法：精选朱军《遗传学（第二版）》教材作为组织教学的蓝本,进行系统的知识体系调整与整合,对教学难点进行、巧妙设计,整体教学内容做到概念明确,重点突出,由浅入深,前后呼应,力争用简单的语言、明晰的逻辑关系展开遗传学教学。     

Computational methods for complex stochastic systems: a review of some alternatives to MCMC

We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situations they can be difficult to implement; and suffer from problems such as poor mixing, and the difficulty of diagnosing convergence. Here we review three alternatives to MCMC methods: importance sampling, the forward-backward algorithm, and sequential Monte Carlo (SMC). We discuss how to design good proposal densities for importance sampling, show some of the range of models for which the forward-backward algorithm can be applied, and show how resampling ideas from SMC can be used to improve the efficiency of the other two methods. We demonstrate these methods on a range of examples, including estimating the transition density of a diffusion and of a discrete-state continuous-time Markov chain; inferring structure in population genetics; and segmenting genetic divergence data.     

唐宋词女性化品格的发生学研究

与以刚健雄浑的男性化审美风格为最高理想的古典诗歌不同,唐宋词在整体上具有女性化的审美特征。从发生学的角度,这一特征的形成与三大因素有关:第一,传统文化本身具有的女性化或者说双性化因子是其前提条件;第二,中唐以后“不在马上,而在闺房”的时代精神提供了现实土壤;第三,词体作为一种音乐文学本身所具有的“要眇宜修”的文体特征是其内在因素。     

A survey on multivariate chi-square distributions and their applications in testing multiple hypotheses

We are concerned with three different types of multivariate chi-square distributions. Their members play important roles as limiting distributions of vectors of test statistics in several applications of multiple hypotheses testing. We explain these applications and consider the computation of multiplicity-adjusted p-values under the respective global hypothesis. By means of numerical examples, we demonstrate how much gain in level exhaustion or, equivalently, power can be achieved with corresponding multivariate multiple tests compared with approaches which are only based on univariate marginal distributions and do not take the dependence structure among the test statistics into account. As a further contribution of independent value, we provide an overview of essentially all analytic formulas for computing multivariate chi-square probabilities of the considered types which are available up to present. These formulas were scattered in the previous literature and are presented here in a unified manner.     

Korean Twins Reared Apart: Genetic and Cultural Influences on Behavior and Health

Monozygotic twins reared in different countries are rare. Data from several available cases have been combined in group findings, masking cultural effects on behavior. The present study compared behavioral and health-related findings for unusual monozygotic female twins raised apart in South Korea and the United States. The 37-year-old twins were exceptional in being reared under dramatically different circumstances with limited telephone and Internet contact. Primary outcome measures included life history events, physical and health-related characteristics, and diverse behavioral traits. Striking similarities and differences were noted. Findings are discussed with reference to genetic and cultural influences on health and behavior.     

Genetic Studies of Pathological Gambling: A Review of Methodology and Analyses of Data from the Vietnam Era Twin Registry

Twin studies represent an important and powerful approach to estimating the relative contributions of environmental and genetic factors to the expression of psychiatric illnesses. In this article, we first explain the rationale for using large populations of monozygotic and dizygotic twin pairs to estimate genetic and environmental contributions to a disorder and the statistical modeling associated with this approach. We then review results from studies of the Vietnam Era Twin Registry that use this methodology to examine the etiology of pathological gambling (PG) behaviors. The results provide strong evidence for genetic contributions to the development of PG in men and set the foundation for future studies aimed at identifying the manner in which specific genes and environmental factors individually and in conjunction contribute to PG.     

A new approach for the genetic algorithm

This paper proposes a new approach based on two explicit rules of Mendel experiments and Mendel's population genetics for the genetic algorithm (GA). These rules are the segregation and independent assortment of alleles, respectively. This new approach has been simulated for the optimization of certain test functions. The doctrinal sense of GA is conceptually improved by this approach using a Mendelian framework. The new approach is different than the conventional one in terms of crossover, recombination, and mutation operators. The results obtained here are in agreement with those of the conventional GA, and even better in some cases. These results suggest that the new approach is overall more sensitive and accurate than the conventional one. Possible ways of improving the approach by including more genetic formulae in the code are also discussed.