刑法身份诸问题研究

身份问题的研究在中外刑法中都受到一定重视。现代各国刑法普遍将身份作为设定刑事责任的存在或影响刑事责任程度的因素,以从犯罪主体的角度调整危害行为与刑事责任的关系,准确有效地打击犯罪。我国刑法理论虽重视身份的研究,但其研究的领域和层次相对泛化,对其分类、功能、身份获得途径以及研究意义中的诸多问题缺乏深入的价值探寻和分析。因此,在现有研究成果的基础上,提出新问题,进行新追问,构建新的研究体系是我们的初衷。     

图书分类与档案分类的互鉴研究

以图书与档案的共同属性为讨论的逻辑基点,对图书与档案分类的异同点进行比较分析,旨在通过图书档案资料更为系统的组织、整理和描述,达到推进其他服务的目的。     

PSC朗读评分中的语音缺陷问题

在2002年12月《普通话水平测试大纲》修订工作征求意见稿中,我们发现它增加了对短文朗读中语音缺陷扣分的规定。短文朗读中的"语音缺陷"在《普通话水平测试大纲》现行评分标准中一直处于被忽视的地位。笔者同意征求意见稿的观点,对短文朗读中存在的"语音缺陷"应该扣分。短文朗读中存在的"语音缺陷"不能归入语音错误,也不能把它们划入"方言语调"的范围,应该把它们并入"方言色彩"的测试中。为此,笔者提出了短文朗读里语音缺陷的评分办法。     

分类定位 整合资源：我国事业单位改革的关键

目前我国的改革开放已到了攻坚阶段,事业单位改革作为对计划经济体制核心部分改造的一项重要工程,改革难度极大.本文针对我国事业单位目前存在的问题,提出分类定位、整合事业单位资源是我国事业单位改革的关键.     

Racial classification in criminology: The reproduction of racialized crime

The (re)production of knowledge about crime is cultural in terms of the questions asked, the comparisons made, and the hypotheses selected to explain crime causation. Since criminologists do not operate in a vacuum, any prejudgments, biases, and beliefs acquired before their professional socialization may well persist and affect their approach to research over the course of their academic careers. Because American criminologists live in a society that racializes a number of problem behaviors, including crime, it is conceivable that widely held beliefs about race that predate graduate training will find their way into assumptions about the relationship between race and crime. Such preprofessional beliefs are transformed into facts when they meet with widespread agreement from other criminologists and thus come to be taken for granted in the objective pursuit of knowledge. Crime is racialized, for example, when the criminal behaviors of individual black offenders are understood in terms of racial traits, racial motives, or racial experiences. When traits, motives, or experiences are classified as the property of whole races or racial communities, these conceptions of race assume causal significance in explaining criminal behavior. Because these traits, motives, and experiences are supposedly shared by entire races or race-class categories, the predisposition to criminality becomes generalized beyond individual Black criminals to whole races or racial communities of noncriminal Blacks. When crime is thus racialized, whole communities or whole categories of phenotypically similar individuals are rendered precriminal and morally suspect. In addition, such racializations in academic criminology can be used to justify increased control of individual black criminals in the larger society; these controls can also legitimately be extended to encompass whole communities and whole categories of phenotypically similar persons who are not involved in crime. This paper will address the role that racializing assumptions play in traditional criminological theories.     

Modeling household fertility decisions with generalized Poisson regression

This paper models household fertility decisions by using a generalized Poisson regression model. Since the fertility data used in the paper exhibit under-dispersion, the generalized Poisson regression model has statistical advantages over both standard Poisson and negative binomial regression models, and is suitable for analysis of count data that exhibit either over-dispersion or under-dispersion. The model is estimated by the method of maximum likelihood. Approximate tests for the dispersion and goodness-of-fit measures for comparing alternative models are discussed. Based on observations from the Panel Study of Income Dynamics of 1989 interviewing year, the empirical results support the fertility hypothesis of Becker and Lewis (1973). Received January 7, 1997 /Accepted April 3, 1997     

基于ARTⅡ网络的煤炭资源资产分类研究

本文建立了用于煤炭资源资产分类的ARTⅡ神经网络模型,编制了相应的计算机和软件,并将ARTⅡ模型与模糊分类模型和基于BP网络的分类模型进行了对比分析,实例运行结果表明,用ARTⅡ网络进行分类具有分类稳定、结果可靠等特点。     

信息不完全确定的区域产品模糊区间聚类方法

区域产品分类与选择是区域经济发展中最重要和最基础的工作.在产品选择与分类时,需要确定指标权系数和分类阈值等参数,这在实际应用中是比较困难的.针对这种情况,提出了一种信息不完全确定的区域产品模糊区间聚类方法.该方法构建了指标权系数信息不完全确定的最优模糊区间聚类模型,利用遗传算法和改进的FCM算法联合求解所得优化模型,得到指标权系数、最优聚类中心和最优划分,进而确定各产品所属类别.最后将该方法应用于某区域的产品分类和主导产品的确定中,实例计算说明该方法的可行性和有效性.     

基于学习动机感知的学生主体分类及其影响因素探究——以江苏省普通高校为实证

以大样本问卷调查为基础,采用多种数理统计方法,进行基于学习动机主观感知为学生主体类型划分及影响因素的研究。发现学习动机表征因素不止于内在和外在,还会体现在近期和远期、物质和精神、自我和他者等其他复杂要素上,而且还会受到入校时间、学校类型、性别以及地缘背景等因素影响。构建与学生主体需求相匹配的教育资源供给梯次和分类指导对促进高校教育具有重要意义。     

Model-based clustering of multivariate skew data with circular components and missing values

Motivated by classification issues that arise in marine studies, we propose a latent-class mixture model for the unsupervised classification of incomplete quadrivariate data with two linear and two circular components. The model integrates bivariate circular densities and bivariate skew normal densities to capture the association between toroidal clusters of bivariate circular observations and planar clusters of bivariate linear observations. Maximum-likelihood estimation of the model is facilitated by an expectation maximization (EM) algorithm that treats unknown class membership and missing values as different sources of incomplete information. The model is exploited on hourly observations of wind speed and direction and wave height and direction to identify a number of sea regimes, which represent specific distributional shapes that the data take under environmental latent conditions.