Exploratory analysis of the safety climate and safety behavior relationship

Problem: Safety climate refers to the degree to which employees believe true priority is given to organizational safety performance, and its measurement is thought to provide an “early warning” of potential safety system failure(s). However, researchers have struggled over the last 25 years to find empirical evidence to demonstrate actual links between safety climate and safety performance.Method: A safety climate measure was distributed to manufacturing employees at the beginning of a behavioral safety initiative and redistributed one year later.Results: Multiple regression analysis demonstrated that perceptions of the importance of safety training were predictive of actual levels of safety behavior. The results also demonstrate that the magnitude of change in perceptual safety climate scores will not necessarily match actual changes (r=0.56, n.s.) in employee's safety behavior.Discussion: This study obtained empirical links between safety climate scores and actual safety behavior. Confirming and contradicting findings within the extant safety climate literature, the results strongly suggest that the hypothesized climate-behavior-accident path is not as clear cut as commonly assumed.Summary: A statistical link between safety climate perceptions and safety behavior will be obtained when sufficient behavioral data is collected.Impact on Industry: The study further supports the use of safety climate measures as useful diagnostic tools in ascertaining employee's perceptions of the way that safety is being operationalized.     

微生物絮凝剂处理造纸中段废水的实验研究

实验从土壤中分离筛选出1株絮凝活性较高的絮凝剂产生菌,经鉴定为1株黑曲霉.采用其产生的微生物絮凝剂M-2处理造纸中段废水,对絮凝条件进行了优化,在最佳絮凝条件下,M-2对造纸中段废水的CODcr去除率可达70.6%,浊度去除率可达91.7%,其絮凝效果优于传统的絮凝剂.     

火电厂FGD装置性能试验有关问题的探讨

针对目前我国还没有专门针对烟气脱硫(FGD)装置性能试验规程的情况,对于火电厂FGD性能试验的内容和标准、现场测量的特点、测点布置和测量方法的选择、试验工况和试验时间的要求等问题,进行了介绍和探讨,以期为脱硫装置性能试验的实践提供一些建议和参考.     

核电站中处理人的行为问题的系统方法

引发事件的失误原因或者作为行为趋向的一部分统称为人的行为问题.总结出了核电站中处理人的行为问题的系统方法,即从问题的识别与描述、事件调研、原因分析到开发纠正行动这样一个过程.结合核电站实际,着重介绍了人误原因的识别,如根原因分析技术和起因树.     

空间视角下湖北省环境绩效评估及影响因素分析

以湖北省为例，基于压力-状态-响应（PSR）模型构建环境绩效评估指标体系，运用空间自相关和标准差椭圆对湖北省各地区绩效指数空间特征及影响因素进行探讨，结果显示：湖北省各地区环境绩效指数（EPI）均高于60，但普遍处于中等水平，良好及优秀所占比例低.EPI较高的地区主要位于湖北省西部和中部，压力和状态指数从西至东递减，响应指数则呈现东部高于西部高于中部的态势.状态指标绩效指数在空间上显著正相关，即环境质量状况较好（或较差）的地区在空间上集聚.EPI及二级指标绩效指数均以西北-东南为布局方向，且EPI椭圆重心较于基准重心偏向于西南方向.各地区环境指数除受到资源禀赋的影响外，还与城镇化率和人口密度显著相关.     

生石灰孔结构对高温脱硫性能的影响

喷钙脱硫工艺的炉内脱硫率 ,不仅受工艺参数的影响 ,还与石灰石分解生成的新生CaO或直接喷入的CaO的表面结构有关。本研究用同一石灰石经不同方法 (煅烧、过烧、煅烧 -水合 -脱水等 )制备了四种具有不同比表面积和孔结构的生石灰。高温脱硫研究表明 :这四种不同孔结构的生石灰 ,具有不同的脱硫率。通过对高温脱硫前后吸着剂宏观结构变化的对比 ,发现半径小于 30 的孔易被反应产物堵塞 ,因而脱硫能力有限 ,而半径大于 5 0 的孔对脱硫更有效。本研究将为提高炉内喷钙的脱硫率、研制和开发高效脱硫剂提供新的途径。     

Individual adaptive performance in organizations: A review

Modern work is frequently characterized by jobs where adaptive performance (AP) is crucial for employees to succeed in light of new or altered task demands. This recognition has fueled growing interest in AP as a dimension of workplace performance. To this point, however, research on AP has evolved from disparate perspectives and methods, resulting in fragmentation and a less than coherent knowledge base. This paper presents a comprehensive review of research studies regarding the nomological network of individual AP. In doing so, we synthesize the current knowledge base surrounding correlates of AP, elucidate current ambiguities, and suggest directions for future research efforts. We conclude that although the extant AP literature has amassed a critical body of studies linking various predictors to successful AP outcomes, much remains unknown, most critically regarding the implications of different methods of assessing AP, the effects of different types of changes in the task environment, the process of AP, and the steps organizations can take to foster AP among their employees. We hope that our synthesis and analysis paves the way for efforts to address these important questions. Copyright © 2014 John Wiley & Sons, Ltd.     

Framing an independent,integrated and evidence-based evaluation of the state of Australia's biophysical and human environments

A new approach was developed for Australia's 2011 national State of the Environment (SoE) report to integrate the assessment of biophysical and human elements of the environment. A Common Assessment and Reporting Framework (CARF) guided design and implementation, responding to jurisdictional complexity, outstanding natural diversity and ecosystem values, high levels of cultural and heritage diversity, and a paucity of national-scale data. The CARF provided a transparent response to the need for an independent, robust and evidence-based national SoE report. We conclude that this framework will be effective for subsequent national SoE assessments and other integrated national-scale assessments in data-poor regions.     

Modelling and Prediction of Diesel Engine Performance using Relevance Vector Machine

Diesel engines are being increasingly adopted by many car manufacturers today, yet no exact mathematical diesel engine model exists due to its highly nonlinear nature. In the current literature, black-box identification has been widely used for diesel engine modelling and many artificial neural network (ANN) based models have been developed. However, ANN has many drawbacks such as multiple local minima, user burden on selection of optimal network structure, large training data size, and over-fitting risk. To overcome these drawbacks, this article proposes to apply an emerging machine learning technique, relevance vector machine (RVM), to model and predict the diesel engine performance. The property of global optimal solution of RVM allows the model to be trained using only a few experimental data sets. In this study, the inputs of the model are engine speed, load, and cooling water temperature, while the output parameters are the brake-specific fuel consumption and the amount of exhaust emissions like nitrogen oxides and carbon dioxide. Experimental results show that the model accuracy is satisfactory even the training data is scarce. Moreover, the model accuracy is compared with that using typical ANN. Evaluation results also show that RVM is superior to typical ANN approach.     

Investigation of Nanoparticle Additives to Biodiesel for Improvement of the Performance and Exhaust Emissions in a Compression Ignition Engine

Worldwide energy demand has been growing steadily during the past five decades and most experts believe that this trend will continue to rise. The amount of emitted harmful emission gases increases in parallel with increasing energy consumption. This increase has forced many countries to take various precautions, and various restrictions on emitted emissions have been carried. In this study, effects of addition of oxygen containing nanoparticle additives to biodiesel on fuel properties and effects on diesel engine performance and exhaust emissions were investigated. Two different nanoparticle additives, namely MgO and SiO₂, were added to biodiesel at the addition dosage of 25 and 50 ppm. Fuel properties, engine performance, and exhaust emission characteristics of obtained modified fuels were examined. As a result of this study, engine emission values NO_x and CO were decreased and engine performance values slightly increased with the addition of nanoparticle additives.