浅析农网升级改造工程后台区线损管理

农村电网在升级改造完成后,如何降低线损便成为此后管理工作中的重中之重,这同时也是提高电力企业经济效益的迫切需要,本文就如何降低线损进行全方位,多方面的系统阐述并提出相应改进措施。     

高边坡滑坡分析及处理

在一些基础性开发的建设过程中存在许多地质灾害问题,其中高边坡滑坡现象尤为严重。本文针对高边坡滑坡现象的类型、成因等进行了分析,并提出了相应的解决措施。     

社会资本视角下我国环保市场的激励机制研究

社会资本是一种无形资本。本文通过分析我国环境保护市场的发展现状，明确社会资本视角下促进环境保护市场的意义，最终提出以内部社会资本为导向的环境产权激励措施，以外部社会资本为导向的财税激励措施，有利于我国环境保护市场的进一步完善。     

油田井下作业事故分析及应对措施探讨

石油行业是我国工业发展的命脉,能够为国家创造更高的经济价值。但是,这个行业也同样伴随着较高的安全风险。石油井下作业过程往往复杂多变,具有极高的危险性。本文首先列举了石油井下作业事故的类型,接着详细分析了安全事故的发生原因,最后针对发现的问题,提出了相应的应对措施,希望可以对油田井下作业安全防治问题有所帮助。     

谈路面表面排水和防水

路基是道路的基础,更是保证路面质量的关键。然而,在现实中,由于需要反复承受各种荷载和自然因素的作用,会导致路基的形状、边坡坡度发生改变,尤其路基表面排水不畅将严重影响路面的质量和稳定性。     

浅谈城中村用电困局及解决措施

随着城市的迅猛发展,大量外来人口迁入各地城中村,导致城中村用电负荷暴增,残旧的城中村电网以及各种违法用电行为使得城中村用电陷入频繁停电的困局。该文通过对城中村用电现状的描述,分析造成用电困局的原因,并在此基础上提出破解城中村用电困局的若干建议。     

浅谈建设工程资料的管理与常见问题

建设工程资料是建设工程的重要组成部分,工程资料的管理不仅对建设工程而且对工程后期的使用、维修、改扩建工程有着重要的意义。因此,有必要对工程资料的规范管理及常见问题进行阐述。     

A new approach to measuring riskiness in the equity market: Implications for the risk premium

We introduce a new approach to measuring riskiness in the equity market. We propose option implied and physical measures of riskiness and investigate their performance in predicting future market returns. The predictive regressions indicate a positive and significant relation between time-varying riskiness and expected market returns. The significantly positive link between aggregate riskiness and market risk premium remains intact after controlling for the S&P 500 index option implied volatility (VIX), aggregate idiosyncratic volatility, and a large set of macroeconomic variables. We also provide alternative explanations for the positive relation by showing that aggregate riskiness is higher during economic downturns characterized by high aggregate risk aversion and high expected returns.     

Observing viewers’ self-reported and neurophysiological responses to message appeal in social media advertisements

PurposeMarketing research mainly uses self-reported method to record respondents' perceptions of creativity, and while self-reported method has its own merits, there exists some critique, particularly in terms of its ability to adequately capture the influence of message appeal on creativity. This paper studies how viewers’ responses to message appeals in social media advertisement compare in terms of self-reported responses versus responses taken through a neurophysiological method of Electroencephalograph (EEG).MethodologyTwo social media advertisements are displayed through a laboratory experiment to 17 subjects observing the subjects' neurophysiological reactions as well as their self-reported responses with regard to the commercials’ emotional, informational, and brand-related content.FindingsResults show that neurophysiological method offers unique details about emotional appeal, which the self-reported method fails to reflect. Furthermore, the neurophysiological measure identifies differences across the two target commercials in the emotional content part, which again are not identified through the self-reported method.OriginalityThis paper advances advertising research in social media literature by comparing content evaluation within advertisement through neurophysiological and self-reported measure. These findings have implications for marketers to use and measure message appeals in advertisement on social media to influence consumer response.     

Are betting returns a useful measure of accuracy in (sports) forecasting?

In an economic context, forecasting models are judged in terms not only of accuracy, but also of profitability. The present paper analyses the counterintuitive relationship between accuracy and profitability in probabilistic (sports) forecasts in relation to betting markets. By making use of theoretical considerations, a simulation model, and real-world datasets from three different sports, we demonstrate the possibility of systematically or randomly generating positive betting returns in the absence of a superior model accuracy. The results have methodological implications for sports forecasting and other domains related to betting markets. Betting returns should not be treated as a valid measure of model accuracy, even though they can be regarded as an adequate measure of profitability. Hence, an improved predictive performance might be achieved by carefully considering the roles of both accuracy and profitability when designing models, or, more specifically, when assessing the in-sample fit of data and evaluating out-of-sample forecasting performances.