高职院校思政课教学有效性研究——教学情景设计研究

长期以来,高职院校思想政治理论课教学一直面临一种尴尬的境地:一方面,学生对课程本身存在偏见和抵触,另一方面,课堂以教师为主体,学生被动地听,这种教学忽视了学生的自主学习和探究,使学生缺少独立思考的时间和空间,因而教学效果差。而情景教学法能较好地激发学生学习兴趣、发挥其主体性,因此,情景教学法成为职教院校思想政治课教学方法改革的重要内容之一。本文结合教学实践,从教学内容,教学开展方式等方面阐述了情景教学法在高职思政课教学中的应用。     

粮食移动式输送及装仓设备安全性评价方法

本文建立粮食移动式输送及装仓设备安全性评价方法,量化此类设备安全等级,以期对生产厂家在设计、制造上有一定的指导意义,对使用单位的选择上有借鉴意义。     

高职院校环境监测实践教学改革探索

本文分析了高职院校环境监测实践教学中存在的问题,从实践参与教学模式、实践教学方法及考核、评价方式等方面进行了一系列的探索和尝试。     

An examination of the effects of 2014 concealed weapons law in Illinois on property crimes in Chicago

The purpose of the present study is to determine the effects of ‘may issue’ Concealed Carry Weapons (CCW) law implemented in early 2014 in Chicago. Based on the daily community-level crime data from January 2006 to December 2015, using zero-inflated negative binomial difference-in-difference specification with Philadelphia as the control group, the property crimes in Chicago declined after the implementation of ‘may issue’ CCW law. The findings are robust to alternate treatment windows and to a placebo test using time windows before implementation of the law.     

钢铁行业成本核算制度研究

为了解决钢铁行业普遍亏损、经营困难等问题，对当前钢铁行业成本核算面临的各种问题进行分析，相应的提出新制度实施的必要性。而后详细阐述了钢铁行业成本核算制度的基本步骤，且针对行业现有问题说明了新制度的优越性，提出可以选择性使用的作业成本法，最后阐释了新制度可能会对钢铁行业产生的影响和企业在面对新制度想要改善目前严峻形势必须用辩证的眼光看待这一现象，具体问题具体分析，对症下药才是关键。     

Advancing tourism research through multilevel methods: research problem and agenda

Tourism research often encounters social phenomena and research problems that involve multiple levels. However, most researchers assume that the phenomena exist in a single level and perform analyses that do not reflect the hierarchical nature of social dynamics. This article heeds the call from Current Issues in Tourism by illustrating multilevel methods and proposing an agenda for multilevel research. In particular, this article seeks to reconcile the limitations of single-level analysis and to delineate how multilevel methods could be applied in tourism research. It further seeks to advance tourism theories by introducing more complex multilevel design with broader applications in various tourism settings. This article presents two common tourism research scenarios, critiques their limitations, and proposes how multilevel methods could not only address these limitations, but also how they could advance tourism theories. An empirical study is offered to demonstrate multilevel design and analytical techniques.     

The role of text-extracted investor sentiment in Chinese stock price prediction with the enhancement of deep learning

Whether investor sentiment affects stock prices is an issue of long-standing interest for economists. We conduct a comprehensive study of the predictability of investor sentiment, which is measured directly by extracting expectations from online user-generated content (UGC) on the stock message board of Eastmoney.com in the Chinese stock market. We consider the influential factors in prediction, including the selections of different text classification algorithms, price forecasting models, time horizons, and information update schemes. Using comparisons of the long short-term memory (LSTM) model, logistic regression, support vector machine, and Naïve Bayes model, the results show that daily investor sentiment contains predictive information only for open prices, while the hourly sentiment has two hours of leading predictability for closing prices. Investors do update their expectations during trading hours. Moreover, our results reveal that advanced models, such as LSTM, can provide more predictive power with investor sentiment only if the inputs of a model contain predictive information.     

Operational excellence in a green supply chain for environmental management: A case study

Nowadays, organizations have started to become more conscious about the environment in their supply chain operations. The greening process has guided supply chain practices into new ways of thinking according to green standards. The assessment of the performance of green supply chain management (GSCM) requires a holistic view for the whole supply chain. In this context, given that becoming green in the operational side of activities is essential, the performance assessment of operational activities also requires a holistic view to be taken. In this paper, an attempt has been made to improve the performance of GSCM by examining and evaluating the green operational excellence of a hot dip galvanizing company. The framework includes several green operational excellence key criteria, namely, quality management, efficiency management, green production/manufacturing, eco‐packaging, and green design. First, the weights of the criteria and the respective measurements were found by fuzzy analytic network process. Then, the overall operational performance score was found by a weighted scoring method. Finally, both managerial and theoretical implications were suggested according to the outcomes and findings of the case study.     

基于G1法的飞行签派员资质能力评估

为了强化飞行签派员的人员资质管理,提升签派员的运行控制能力,保证民航行业持续稳定安全,结合法规和国航西南分公司运行控制中心的考核制度,从知识、技能、从业经验、专业任职资格、业绩成果及工作态度等6个方面构建了飞行签派员能力评估体系,采用G1法确定指标权重并进行综合打分,以国航"7·10"误关组件导致座舱失压后继续飞行事件为例,对评估指标进行实例验证,为航空公司评估飞行签派员资质能力提供了一套实际可用的量化指标和系统化评估方法。     

因病致贫与缓冲效应的比较优势

当大病的自付医疗费用支出占家庭非食品支出的比例超过一定门槛值时，灾难性医疗支出发生，会增大因病致贫或返贫的概率。本文基于中国家庭追踪调查数据库（CFPS）2014年数据，利用A-F多维贫困测量方法有效识别贫困家庭，探究因病致贫发生率。大病冲击使贫困发生率增加15%，总财富减少6.9%。我们还发现医疗保险、社会资本及民间借贷对因病致贫都具有缓冲效应。这三种缓冲垫具有各自比较优势：医疗保险对中低收入家庭或中高疾病风险家庭缓冲效应显著；社会资本的缓冲效应只存在中高收入家庭或高风险疾病家庭；民间借贷只对低收入家庭具有缓冲效应。因此，家庭尤其是低收入家庭应合理利用缓冲垫，提高大病冲击的抵御能力，降低因病致贫的发生率。