管理者的威权领导风格对矿工安全行为的影响研究

矿工安全行为是煤矿安全生产的基础保障,而管理者的领导风格对矿工安全行为有重要影响。引入调节焦点理论和认同理论,构建威权领导风格对安全行为影响关系的理论模型。以544份调查问卷的数据对理论模型进行检验,结果发现:威权领导风格是影响矿工安全行为的重要情境因素;威权领导风格会通过矿工对管理者认同而正向影响安全行为,矿工对管理者认同在二者间具有中介作用;管理者-矿工间的调节焦点适配在矿工对管理者认同和安全行为之间有调节效应,而且调节焦点的高适配度会强化矿工对管理者认同的中介效果。研究丰富了领导风格与矿工安全行为的作用机制和边界条件,对煤矿安全管理实践有一定的启示意义。     

Exploring the dark side of organizational citizenship behavior

In recent years, there has been increasing interest in positive organizational scholarship in general, including positive organizational behavior (POB) in particular. This work identifies organizational citizenship behavior (OCB) as a prototypical POB. Conceptualizing OCBs in this way is sensible in light of more than 30 years of research highlighting the desirable aspects of such behavior. At the same time, some researchers have raised questions about positive organizational scholarship and have called for a more balanced view of ostensibly positive behaviors. The purpose of this paper, then, is to take a more nuanced view of OCBs while highlighting the dark side of citizenship behavior. In doing so, we review conceptual and empirical work that has challenged the idea that OCBs are inherently positive. We also discuss research that seeks to develop a deeper understanding of the conditions under which OCB does more harm than good. Finally, important areas for future research and the practical realities facing scholars who seek to publish research investigating the dark side of citizenship are addressed as well. Copyright © 2012 John Wiley & Sons, Ltd.     

河南鸡冠洞洞穴水对极端气候的响应及其控制因素研究

为揭示洞穴水地球化学动态的变化特征及其控制因素,从2009年10月至2013年12月对黄土高原东南缘河南西部栾川县鸡冠洞洞穴水的水化学指标进行了4个完整水文年的动态监测.结果表明:1鸡冠洞洞穴水的化学类型主要是HCO-3-Ca2+-Mg2+和HCO-3-Mg2+-Ca2+型,阴离子中HCO-3占80%以上,阳离子中Ca2+、Mg2+是优势离子,地下河常年处于溶蚀状态,池水、滴水处于沉积状态.2鸡冠洞洞穴滴水、池水可以很好地响应外部气候环境的变化,其地球化学指标具有显著的季节效应.3Ca2+、Mg2+、SO2-4能够敏感地响应极端气候事件引起的年际降水量变化,Ca2+、Mg2+、SO2-4浓度洪涝年升高,干旱年降低.HCO-3主要受CO2浓度控制,对极端气候事件响应不明显.4鸡冠洞地下河中Ca2+、Mg2+、HCO-3、SO2-4浓度波动幅度较小,且无明显的季节变化规律.对2010年和2013年的极端降水事件响应不明显.     

行为控制方法在煤矿放炮事故预防中的应用研究

我国煤炭行业事故频发,而人的不安全动作引起了88％的事故,因此,运用行为控制方法来约束人的不安全动作对于减少煤矿事故有着重要意义。以煤矿放炮员不安全动作为统计指标,对我国2000—2011年41起煤矿重特大放炮事故进行统计,得到16种、48个不安全放炮动作。进一步分析,发现造成这些不安全动作的原因集中在放炮员安全知识、意识、习惯,组织安全管理体系,以及组织安全文化这三方面。根据这些原因提出了系统的行为控制方法,给出了放炮员不安全动作的综合解决对策,这样企业便采取了从安全文化到放炮员不安全动作的一整套行为控制措施,从而可以有效预防煤矿放炮员的不安全动作,减少煤矿企业放炮事故的发生。     

基于多智能体建模方法的人群应急疏散模型构建研究——以腾龙芳烃（漳州）有限公司“4·6”爆炸着火重大事故疏散为例*

为从更微观角度分析人群疏散过程中疏散行为及路网设计对疏散效果的影响,基于腾龙芳烃（漳州）有限公司“4·6”爆炸着火重大事故,构建多智能体人群应急疏散模型,模拟人群中个体群组、惯性、就近、从众、信息传播的行为决策及相互交互影响。结果表明:群组行为会严重影响应急疏散效果,在疏散路网两端避难所附近会出现明显拥堵现象,在疏散路网设计和避难所选择时,应尽可能避免出现极端汇流路段或节点;在应急培训中,应告知群众减少群组行为。研究结果可为人群应急疏散提供借鉴。     

Assessment of locomotion behavioral defects induced by acute toxicity from heavy metal exposure in nematode Caenorhabditis elegans

Locomotion behaviors are susceptible to disruption by a broad spectrum of chemicals and environmental stresses. However, no systematic testing of locomotion behavior defects induced by metal exposure has been conducted in the model organism of nematode Caenorhabditis elegans. In this study, the acute toxicity from heavy metal exposure on the locomotion behaviors was analyzed in nematodes. Endpoints of head thrash, body bend, forward turn, backward turn, and Omega/U turn were chosen to evaluate the locomotio...     

Assessing conservation opportunity on private land: socio-economic, behavioral, and spatial dimensions

This study presents a method for assessing conservation opportunity on private land based on landholders' socio-economic, behavioral, and farm characteristics. These characteristics include age, gender, education, level of off-farm income, farm size, proportion of remnant native vegetation on-farm, and ecological value of native vegetation on-farm. A sample of landholders who own greater than 2 ha of land in the South Australian Murray-Darling Basin region were sent a mail-based survey about their values and preferences for environmental management (N = 659, 52% response). Cross-tabulations and ANOVA statistical analysis techniques were used to compare the socio-economic attributes across three landholder classes: disengaged, moderately engaged, and highly engaged in native vegetation planting. Results indicate that highly engaged landholders were more likely to be female, formally educated, hobby farmers who managed small parcels of land and have high off-farm incomes, whereas disengaged landholders held significantly stronger farming connections (more farming experience, family have lived on the farm for more generations). Spatial analysis revealed area-specific differences in conservation opportunity and conservation priority. In some areas, properties of high ecological value were managed by highly engaged landholders, but nearby properties of high value were managed by moderately engaged or disengaged landholders. Environmental managers therefore cannot assume areas of high conservation priority will be areas of high conservation opportunity. At the regional scale, the potential for revegetation seems most promising within the moderately engaged landholder group considering the vast amount of land managed by this group in areas of high ecological value, particularly within the less represented Mallee and Coorong and Rangelands sub-regions. We suggest that incentive schemes which purchase conservation need to be targeted at disengaged landholders; mentoring schemes led by commercial farmers highly engaged in native vegetation planting should be directed at moderately engaged landholders, and; awards programs which acknowledge conservation successes should be targeted at highly engaged landholders.     

大亚湾和四十里湾附近海域表层沉积物中无机碳形态研究

采用连续浸取法对位于亚热带的大亚湾和温带的四十里湾附近海域的表层沉积物样品中无机碳的赋存形态进行了研究,将无机碳分为可交换态（NaCl相）、弱碱浸取态（NH.3H2O相）、强碱浸取态（NaOH相）、弱酸浸取态（NH2OH.HCl相）和残渣态,测定了相关地球化学参数粒度组成和总有机碳（TOC）.结果表明,NH2OH.HC...     

Analysis of behavioral changes of zebrafish (Danio rerio) in response to formaldehyde using Self-organizing map and a hidden Markov model

Two computational methods were applied to classification of movement patterns of zebrafish (Danio rerio) to elucidate Markov processes in behavioral changes before and after treatment of formaldehyde (0.1 mg/L) in semi-natural conditions. The complex data of the movement tracks were initially classified by the Self-organizing map (SOM) to present different behavioral states of test individuals. Transition probabilities between behavioral states were further evaluated to fit Markov processes by using the hidden Markov model (HMM). Emission transition probability was also obtained from the observed variables (i.e., speed) for training with the HMM. Experimental transition and emission probability matrices were successfully estimated with the HMM for recognizing sequences of behavioral states with accuracy rates in acceptable ranges at central and boundary zones before (77.3-81.2%) and after (70.1-76.5%) treatment. A heuristic algorithm and a Markov model were efficiently combined to analyze movement patterns and could be a means of in situ behavioral monitoring tool.