《红楼梦》与魔幻现实主义——《红楼梦》与《百年孤独》比较

《红楼梦》在艺术手法上与晚于它将近200年的拉丁美洲魔幻现实主义有许多的相似的特征：现实主义的世界与神话思维并存；对本民族历史深刻地宏观透视与预言式的圆形叙事结构平行。究其原因，一是中国化的多元性与拉丁美洲化的多元性在民族原始化心理层次上有着一定的类似或重合。二是中国古典神魔小说传统的影响。由于《红楼梦》有着深厚的中国化根基。所以它所体现出的魔幻现实主义的艺术内涵要比拉丁美洲的魔幻现实主义更加丰富。     

英语听力技能训练浅探

英语听力训练要从基本技能训练做起。要训练学生并要求他们在听力学习过程中掌握一些辅助学习基本技能，如：抓住主题并找出与主题相应的细节．运用信号词进行预测和判断．记笔记等。英语新闻听力技能训练有其特殊性．掌握必要的背景知识是提高英语新闻听力水平的关键。     

基于模糊集合的大学生阶段性学习状态检测模型探讨

大学生的学习行为表现多种多样,其阶段性的学习状态间接或直接地影响着他们所获取的知识的多少及学习成绩的好坏。为了更好地跟进教学,及时准确地检测出学生的阶段性学习状态,并进行相应的调整、引导是必要的。文章在调查分析的基础上,运用模糊集的理论建立数学模型,对大学生的学习状态进行预测。通过对比测试样本的预测成绩与期末真实成绩,自检模型的正确率达到为87.62%,实验表明该方法是较为有效的。     

用20-MST预测大学生最大吸氧量的研究

以103名(男52人,女51人)来自南方的大学生自愿者为受试,建立了用在塑胶跑道上进行的20-MST预测大学生的.VO2max的线性回归模型:.VO2max(ml.kg-1.min-1)=-21.960 5.739×MAS(km.h-1),r=0.888,P<0.000,全距10.0~15.0 km.h-1。统计学检验表明该模型满足线性回归模型独立、线性、正态和等方差的四个假设条件,具有良好的适合性。用该模型预测30名大学生自愿者的.VO2max,其结果也表明20-MST是预测大学生的.VO2max的有效方法。     

英语阅读中预测策略的心理过程及分类

预测是阅读中的一项常用的策略,它由引发预测的语言单元、先前知识、预测内容和预测产品四个部分组成;预测策略的发生具有较为模式化的心理过程,一次独立的预测活动由五步组成;在语篇中,预测可以分为源于语篇标题和小标题的预测、源于语篇首段的预测、源于段落首、尾句的预测、分句之间以及句间预测四类。     

高技术中小企业财务危机预警指标体系研究

高技术中小企业的快速发展已成为我国经济发展和产业变革的强大推动力量,如何对高技术中小企业的财务风险进行预警和控制,是消除危机、加快其发展进程的关键。本文在前人研究的基础上,将高技术中小企业的特点与财务指标结合起来,构建了一个切实有效的高技术中小企业财务危机预警指标体系。     

常微分方程在数学建模中的应用

随着应用微分方程的解法和理论的日臻完善,人们越来越关注用该理论建立数学模型解决实际问题。本文介绍了利用常微分方程理论建立生物种群数量模型、腐败分子人数预测模型的建立过程。     

Motivational patterns as an instrument for predicting success in promising young football players

Psychological characteristics are crucial to identifying talents, which is why these are being incorporated in today’s multidimensional talent models. In addition to multidimensionality, talent studies are increasingly drawing on holistic theories of development, leading to the use of person-oriented approaches. The present study adopts such an approach by looking at the influence that motivational characteristics have on the development of performance, in a person-oriented way. For this purpose, it looks at how the constructs achievement motive, achievement goal orientation and self-determination interact with one another, what patterns they form and how these patterns are linked to subsequent sports success. Ninety-seven top young football players were questioned twice. Another year later, it was enquired which of these players had been selected for the U15 national team. At both measuring points, four patterns were identified, which displayed a high degree of structural and individual stability. As expected, the highly intrinsically achievement-oriented players were significantly more likely to move up into the U15 national team. The results point to the importance of favourable patterns of motivational variables in the form of specific types, for medium-term performance development among promising football talents, and thus provide valuable clues for the selection and promotion of those.     

CS1: how will they do? How can we help? A decade of research and practice

ABSTRACT

Background and Context: Computer Science attrition rates (in the western world) are very concerning, with a large number of students failing to progress each year. It is well acknowledged that a significant factor of this attrition, is the students’ difficulty to master the introductory programming module, often referred to as CS1.

Objective: The objective of this article is to describe the evolution of a prediction model named PreSS (Predict Student Success) over a 13-year period (2005–2018).

Method: This article ties together, the PreSS prediction model; pilot studies; a longitudinal, multi-institutional re-validation and replication study; improvements to the model since its inception; and interventions to reduce attrition rates.

Findings: The outcome of this body of work is an end-to-end real-time web-based tool (PreSS#), which can predict student success early in an introductory programming module (CS1), with an accuracy of 71%. This tool is enhanced with interventions that were developed in conjunction with PreSS#, which improved student performance in CS1.

Implications: This work contributes significantly to the computer science education (CSEd) community and the ITiCSE 2015 working group’s call (in particular the second grand challenge), by re-validating and developing further the original PreSS model, 13 years after it was developed, on a modern, disparate, multi-institutional data set.     

基于R/S分析的GMDH自组织方法在用电量预测中的应用

将R/S分析方法引入用电量预测;并将R/S定性分析方法与GMDH定量预测方法结合,应用于成都市用电量预测。应用R/S分析方法从定性角度研究成都市历年用电量变化趋势的特性,得出成都市城市用电量Hurst指数;运用GMDH预测方法从定量角度对成都市近几年的城市用电量进行预测,进而验证Hurst指数所反映出的成都市用电量的增长趋势。