Mobilizing environmental sentiment through the media

ABSTRACT

Recent research into the best ways to mobilize people to act on climate change suggests that careful, and relatively positive, emotional framing is critical. However, environmental non-governmental organizations (ENGOs) need to not only mobilize publics, but also attract media coverage. If the media prefers negativity or is skeptical of ENGOs’ emotive appeals, are ENGOs’ emotional frames damaging their ability to gain media attention? Quantitative sentiment analysis is used to identify emotional framing in a targeted case study of 350.org’s public press releases and their subsequent media coverage. The results suggest that appropriate emotional frames for mobilization are not necessarily detrimental to gaining media attention, and that ENGO press releases influence media coverage, when they are used. Several concrete suggestions emerge for how ENGOs might use press releases more effectively, if they seek to influence the media’s emotional tone on climate change.     

Exploring the activation dimension of affect in organizations: A focus on trait‐level activation,climate‐level activation,and work‐related outcomes

This study explores the activation dimension of affect in organizations by focusing on both individual employees and their work climate. Drawing on affect research and demands‐abilities fit perspective, I have developed a model predicting that climate‐level activation would deplete employees' emotional resources and trait‐level action would function as an inner resource helping employees buffer themselves from their work demands. The results of a cross‐level study, conducted in a sample of 257 employees and their supervisors within 40 work units across 11 organizations, supported all but one of the hypotheses. Employees whose trait‐level activation was lower than the activation level of their work climate experienced higher levels of emotional exhaustion and thus were more likely to disengage from their work in forms of increased surface acting with their coworkers and psychological withdrawal, and reduced affective commitment to and intention to remain in their organization. Copyright © 2016 John Wiley & Sons, Ltd.     

Response to displaced neighbours in a territorial songbird with a large repertoire

Neighbour recognition allows territory owners to modulate their territorial response according to the threat posed by each neighbour and thus to reduce the costs associated with territorial defence. Individual acoustic recognition of neighbours has been shown in numerous bird species, but few of them had a large repertoire. Here, we tested individual vocal recognition in a songbird with a large repertoire, the skylark Alauda arvensis. We first examined the physical basis for recognition in the song, and we then experimentally tested recognition by playing back songs of adjacent neighbours and strangers. Males showed a lower territorial response to adjacent neighbours than to strangers when we broadcast songs from the shared boundary. However, when we broadcast songs from the opposite boundary, males showed a similar response to neighbours and strangers, indicating a spatial categorisation of adjacent neighbours’ songs. Acoustic analyses revealed that males could potentially use the syntactical arrangement of syllables in sequences to identify the songs of their neighbours. Neighbour interactions in skylarks are thus subtle relationships that can be modulated according to the spatial position of each neighbour.     

YOLOv4目标检测算法在煤矿工人口罩佩戴监测工作中的应用研究*

为防止煤矿工人吸入过量粉尘而导致职业性尘肺病,基于Keras框架利用YOLOv4 (you only look once)目标检测算法对井下人员佩戴防尘口罩情况进行高精度且快速的检测与识别,并与MTCNN(Multi-task convolutional neural network)和FaceNet构成的人脸识别算法相结合,进行煤矿工人口罩佩戴监测的研究。结果表明:模型对井下人员口罩佩戴有较高的检测精度,识别已佩戴口罩的矿井下作业人员的平均精度达到92.78%,识别未佩戴防尘口罩检测的平均精度为91.63%,与其他主流算法相比算法具有更好的鲁棒性和检测效果。研究结果为预防煤矿工人职业性尘肺病提供1种有效的技术手段。     

Light transmission through intraocular lenses with or without yellow chromophore (blue light filter) and its potential influence on functional vision in everyday environmental conditions

In this research the factors used to evaluate the light transmission through two types of acrylic hydrophobic intraocular lenses, one that contained yellow chromophore that blocks blue light transmission and the other which did not contain that filter, were defined according to various light condition, e.g., daylight and at night. The potential influence of light transmission trough intraocular lenses with or without yellow chromophore on functional vision in everyday environmental conditions was analysed.     

The place and role of (moral) anger in organizational behavior studies

The aim of this article is to conceptually delineate moral anger from other related constructs. Drawing upon social functional accounts of anger, we contend that distilling the finer nuances of morally motivated anger and its expression can increase the precision with which we examine prosocial forms of anger (e.g., redressing injustice), in general, and moral anger, in particular. Without this differentiation, we assert that (i) moral anger remains theoretically elusive, (ii) that this thwarts our ability to methodologically capture the unique variance moral anger can explain in important work outcomes, and that (iii) this can promote ill‐informed organizational policies and practice. We offer a four‐factor definition of moral anger and demonstrate the utility of this characterization as a distinct construct with application for workplace phenomena such as, but not limited to, whistle‐blowing. Next, we outline a future research agenda, including how to operationalize the construct and address issues of construct, discriminant, and convergent validity. Finally, we argue for greater appreciation of anger's prosocial functions and concomitant understanding that many anger displays can be justified and lack harmful intent. If allowed and addressed with interest and concern, these emotional displays can lead to improved organizational practice. © 2015 The Authors Journal of Organizational Behavior Published by John Wiley & Sons Ltd.     

应用属性识别模型评价洛阳市大气环境质量

通过将熵值法与属性识别理论相结合,建立了基于熵权的属性识别理论模型,并根据"大气环境质量标准"(GB3095-1996),对洛阳市2005年至2009年的大气环境质量进行了综合评价。结果表明:2005年至2009年洛阳市的大气环境质量均为Ⅱ级。评价结果与模糊数学综合评判法分析结果一致,说明运用属性识别理论应用于大气环境质量评价是合理可信的。     

碧流河水库水质状况的模糊模式识别及对策讨论

提出了确定污染指标权重的新方法,运用陈守煜建立的模糊模式识别理论模型对大连市碧流河水库连续３ａ的水质进行了综合评价,并探讨了水质保护对策      

地质动力区划预测煤与瓦斯突出

为了确定煤与瓦斯突出矿井的突出危险区域,威胁区域和安全区域,提出基于地质动力区划的多因素模式识别概率预测方法预测煤与瓦斯突出的新思路。以鸡西滴道矿立井为研究对象,利用地质动力区划方法确定不同尺度和级别构造运动的特征,建立板块构造学说与矿井工程实际的联系,将对矿井煤与瓦斯突出产生影响的因素为参数,采用多因素模式识别概率预测方法划分研究区域内的危险区域。研究表明该方法对煤与瓦斯突出区域预测的合理性与有效性,可以在实际工程中应用推广。     

基于ICEEMDAN和MC-CNN的矿山声发射信号识别分类方法

为精准识别地下矿山声发射事件,采用基于改进的完全集合经验模态分解模型(ICEEMDAN)和多通道卷积神经网络(MC-CNN)模型对声发射信号进行处理后得到分量图,根据各通道输入分量峭度值赋予不同权重,并利用卷积神经网络对输入数据进行训练,最终采用五折交叉实验方法验证该分类识别方法的可行性及有效性.结果表明:基于ICEE...