论罪责刑相适应原则在刑法适用解释中的作用——以一起转化型抢劫案为视角

罪责刑相适应原则作为刑法的基本原则之一,在刑法中具有全局性的指导作用。当一个行为被认定为犯罪后,罪责刑相适应原则不仅能影响量刑,使得刑罚与犯罪相适应;在一些典型案件中根据犯罪可能判处的刑罚还可能影响定罪,从而做到罪责刑相适应。只有以罪责刑相适应原则为指导,才能正确地进行刑法的适用解释,进而合理地适用刑法。     

人物专题学习网站的建设

通过《邓演达思想研究》学习网站的设计案例和教学实践,分析人物专题学习网站的定位、系统结构和功能设计,为学习者提供一个完整的网络学习环境和特定的人物专题知识展示,实现基于专题网站的研究性学习模式。     

基于加权XML模型的XML数据与DTD模式匹配*

首先说明利用加权XML数据模型分别得到标准XML参考实例和XML数据实例的方法,并对DTD约束修饰符的表达方法进行介绍。其次,详细阐述相似度算法的实现方法,重点说明在XML数据实例中寻找与标准XML参考实例的匹配节点算法和计算标准 XML参考实例与XML数据实例的相似度算法。最后,对相关实验及其结论进行总结。     

国内主题图应用研究综述

论文在介绍国内主题图在专题知识组织、专题信息资源组织、主题图的自动构建和技术标准等方面的应用研究状况的基础上,分析了国内主题图应用的发展条件,并提出了发展的三个方向。     

An Evaluation of Latent Growth Models for Propensity Score Matched Groups

Because random assignment is not possible in observational studies, estimates of treatment effects might be biased due to selection on observable and unobservable variables. To strengthen causal inference in longitudinal observational studies of multiple treatments, we present 4 latent growth models for propensity score matched groups, and evaluate their performance with a Monte Carlo simulation study. We found that the 4 models performed similarly with respect to model fit, bias of parameter estimates, Type I error, and power to test the treatment effect. To demonstrate a multigroup latent growth model with dummy treatment indicators, we estimated the effect of students changing schools during elementary school years on their reading and mathematics achievement, using data from the Early Childhood Longitudinal Study Kindergarten Cohort.     

试论广告设计的色彩搭配

色彩的巧妙运用是现代广告设计中不可缺少的因素,它在广告中具有重要的艺术功能,能更好地阐述广告要表达的内涵,文章从分析色彩与消费者的感官心理出发,阐述色彩在广告设计中的艺术功能,讨论在广告设计中色彩的配色规律及应用原则。     

抛锚式教学模式在高职英语毕业论文选题中的应用

建立在建构主义学习理论下的抛锚式教学模式,强调以学生为中心,培养学生在真实情境中解决问题的能力。本文通过对近几年高职学生英语毕业论文选题的现状及原因进行分析,并探索抛锚式教学模式在高职学生英语毕业论文选题中的应用。     

Validation of a videogrammetry technique for analysing American football helmet kinematics

ABSTRACT

Professional American football games are recorded in digital video with multiple cameras, often at high resolution and high frame rates. The purpose of this study was to evaluate the accuracy of a videogrammetry technique to calculate translational and rotational helmet velocity before, during and after a helmet impact. In total, 10 football impacts were staged in a National Football League (NFL) stadium by propelling helmeted 50th percentile male crash test dummies into each other or the ground at speeds and orientations representative of concussive impacts for NFL players. The tests were recorded by experienced sports film crews to obtain video coverage and quality typically available for NFL games. A videogrammetry procedure was used to track the position and rotation of the helmet throughout the relevant time interval of the head impact. Compared with rigidly mounted retroreflective marker three dimensional (3-D) motion tracking that was concurrently collected in the experiments, videogrammetry accurately calculated changes in translational and rotational velocity of the helmet using high frame rate (two cameras at 240 Hz) video (7% and 15% error, respectively). Low frame rate (2 cameras at 60 Hz) video was adequate for calculating pre-impact translational velocity but not for calculating the translational or rotational velocity change of the helmet during impact.     

Is academic tracking related to gains in learning competence? Using propensity score matching and differential item change functioning analysis for better understanding of tracking implications

This study analyzes gains in cognitive components of learning competence with respect to cohorts based on ability tracking in a Czech longitudinal study. Propensity score matching is used to form parallelized samples of academic and non-academic track students and to eliminate the effect of selective school intake. We applied regression models on the total scores to test for the overall track effect. Furthermore, we analyze scores and gains on the subscores and check for differential item functioning in Grade 6 and in change to Grade 9. While after 3 years, no significant difference between the two tracks was apparent in the total learning competence score, we did, however, find significant differences in some subscores and in the functioning of some items. We argue that item-level analysis is important for deeper understanding of the tracking implications and may provide the basis for more precise evidence-based decisions regarding the tracking policy.     

Time gap analysis by the topic model-based temporal technique

This study proposes a temporal analysis method to utilize heterogeneous resources such as papers, patents, and web news articles in an integrated manner. We analyzed the time gap phenomena between three resources and two academic areas by conducting text mining-based content analysis. To this end, a topic modeling technique, Latent Dirichlet Allocation (LDA) was used to estimate the optimal time gaps among three resources (papers, patents, and web news articles) in two research domains. The contributions of this study are summarized as follows: firstly, we propose a new temporal analysis method to understand the content characteristics and trends of heterogeneous multiple resources in an integrated manner. We applied it to measure the exact time intervals between academic areas by understanding the time gap phenomena. The results of temporal analysis showed that the resources of the medical field had more up-to-date property than those of the computer field, and thus prompter disclosure to the public. Secondly, we adopted a power-law exponent measurement and content analysis to evaluate the proposed method. With the proposed method, we demonstrate how to analyze heterogeneous resources more precisely and comprehensively.