安徽省经济增长与环境污染的动态作用机制研究

文章基于安徽省1990-2013年的经济增长数据以及工业“三废”的排放量等环境污染指标,建立了向量自回归(VAR)模型。利用脉冲响应分析以及方差分解技术分析方法来研究经济增长与环境污染之间动态作用机制。结果显示：安徽省经济增长主要依赖于产生工业废气和废水的企业;经济增长对环境污染的解释力较强,而环境污染对经济增长的解释力相对较弱;环境污染对经济增长的推动只能在短期起作用,这种发展模式是不可持续的,并且会形成破坏环境的恶性循环;保护环境、惩治污染与经济增长并非是零和博弈,而是可以相互促进的。     

中国大陆地区2014年高校慕课课程建设情况调查

为了了解中国大陆地区高校对于慕课建设和利用的态度,特别是已经行动的高校的计划和定位,作者对中国大陆地区32所已经建设慕课且已经开展慕课教学的高校相关校级领导和项目主管人员进行了网络问卷调查,对调查结果进行了描述性统计分析,且与美国相关报告进行了同类数据对比。研究发现,大陆地区高校在慕课建设策略上有许多类似的地方,在慕课建设动机与定位方面与美国高校存在较大差异。最后,我们对部分高校的做法进行了点评,就高校建设慕课过程中可能出现的问题如何通过政策防范,做出了提醒。     

A Classroom Exercise to Examine the Trade‐off between Mission Capacity and Life Cycle Cost

This article presents a classroom exercise, centered on a simulation that has been used for 4 years in an MBA program to help students develop an understanding of the trade‐offs involved in managing capital assets in the public sector. Though often ignored in business schools, mission is a key criterion that must be considered when managing such assets, and acts as a surrogate for profit. The case presents a rich environment in which the impact of cost reductions (or additional investments) on mission can be quantified, and trade‐offs can be assessed and discussed. It gives students a chance to develop creative ideas for process improvement, and provides sufficient data for them to analyze the impact of their suggestions in a rigorous way.     

The roots of reading for pleasure: Recollections of reading and current habits

Children's early literacy experiences are critical, yet it remains unclear whether memories of early reading instruction continue to be associated with reading habits into adulthood. We examined the association between recollections of reading experiences and present-day reading habits in an adult population. University students responded in writing to three open-ended prompts asking about their memories of reading during early childhood, elementary school and high school. They also completed two questionnaires inquiring about reading enjoyment and frequency in elementary school and high school. For the concurrent measures of reading, participants described their current reading habits in an open-ended prompt and completed an author recognition test. Results showed positive links between favourable memories of reading during elementary and high school years and present-day reading habits. Conversely, unfavourable memories during high school were associated with unenthusiastic present-day reading habits. We found that reading instruction in school forms long-lasting memories, and these memories are linked in meaningful ways with print exposure during adulthood.     

基于无人机的安防监控系统在智慧城市中的应用前景与实现

本文阐述了无人机在安防监控领域的优势与背景。无人机安防监控系统的构建主要为三个模块:首先介绍了无人机的机体设计与内部系统设计;接着阐述了安防监控后台系统的主要功能,以及无人机如何与后台系统进行无线通信;最后总结了无人机安防监控系统的优势,并提出了该系统目前存在的缺陷与改进方法。     

江西农信对接财政支付电子化管理的探析

财政国库集中支付电子化管理是以信息技术为基础,覆盖所有财政资金,协调各参与方,操作规划、安全可控和高效便捷的无纸化运行体系,是当前我国财政信息化建设的一项重要内容。本文对江西农信对接财政国库集中支付电子化管理进行了深入探析。首先讨论江西农信实现对接的重要意义,其次介绍财政部会同人民银行统一规划设计开发的电子支付安全支撑体系,再从网络架构和业务流程两方面详细说明如何实现对接,最后简述江西农信在这方面的准备工作。     

Revisiting Cross-document Structure Theory for multi-document discourse parsing

Multi-document discourse parsing aims to automatically identify the relations among textual spans from different texts on the same topic. Recently, with the growing amount of information and the emergence of new technologies that deal with many sources of information, more precise and efficient parsing techniques are required. The most relevant theory to multi-document relationship, Cross-document Structure Theory (CST), has been used for parsing purposes before, though the results had not been satisfactory. CST has received many critics because of its subjectivity, which may lead to low annotation agreement and, consequently, to poor parsing performance. In this work, we propose a refinement of the original CST, which consists in (i) formalizing the relationship definitions, (ii) pruning and combining some relations based on their meaning, and (iii) organizing the relations in a hierarchical structure. The hypothesis for this refinement is that it will lead to better agreement in the annotation and consequently to better parsing results. For this aim, it was built an annotated corpus according to this refinement and it was observed an improvement in the annotation agreement. Based on this corpus, a parser was developed using machine learning techniques and hand-crafted rules. Specifically, hierarchical techniques were used to capture the hierarchical organization of the relations according to the proposed refinement of CST. These two approaches were used to identify the relations among texts spans and to generate multi-document annotation structure. Results outperformed other CST parsers, showing the adequacy of the proposed refinement in the theory.     

Prediction of stress levels in the workplace using surrounding stress

Occupational stress has a significant adverse effect on workers’ well-being, productivity, and performance and is becoming a major concern for both individual companies and the overall economy. To reduce negative consequences, early detection of stress is a key factor. In response several stress prediction methods have been proposed, whose primary aim is to analyse physiological and behavioural data. However, evidence suggests that solutions based on physiological and behavioural data alone might be challenging when implemented in real-world settings. These solutions are sensitive to data problems arising from losses in signal quality or alterations in body responses, which are common in everyday activities. The contagious nature of stress and its sensitivity to the surroundings can be used to improve these methods. In this study, we sought to investigate automatic stress prediction using both surrounding stress data, which we define as close colleagues’ stress levels and the stress level history of the individuals. We introduce a real-life, unconstrained study conducted with 30 workers monitored over 8 weeks. Furthermore, we propose a method to investigate the effect of stress levels of close colleagues on the prediction of an individual’s stress levels. Our method is also validated on an external, independent dataset. Our results show that surrounding stress can be used to improve stress prediction in the workplace, where we achieve 80% of F-score in predicting individuals’ stress levels from the surrounding stress data in a multiclass stress classification.     

随机模型中计算数学期望的一种新方法

本文通过计算带吸收状态的向量Markov过程平均吸收时间,给出了随机模型中计算数学期望的一种新方法,通过一些特例说明了该方法在随机模型性能分析中的具体应用。