Building capacity through action research: reflections on working with low-carbon communities in the UK

This paper describes a four-year programme of “action research” (AR) undertaken with six communities in the UK, referred to as the Evaluating Low-Carbon Communities (EVALOC) project. The research combined a programme of research events with phased household-level monitoring of energy and carbon-reduction interventions. The carbon-reduction interventions were funded by the UK’s Department of Energy and Climate Change prior to the onset of the research. AR has recently been adopted within the context of environmental behaviour change programmes in the UK, with a number of methodological challenges. The EVALOC project’s challenges included developing a collaborative research design; building reciprocity between the researchers and research participants; dealing with biases and burdens in the research process; ensuring analytical rigour in the interpretation of the primarily qualitative evidence and dealing with the long-term and process-driven outcomes that arise from such interactions. This paper explores and discusses the challenges of AR in relation to selected research outcomes from EVALOC. We conclude by suggesting that the AR approach has helped to build capacity in the participating low-carbon communities (LCCs), through supporting the design, delivery and evaluation of their energy and carbon-reduction activities.     

雾霾天气预测中支持向量机的应用分析

支持向量机在对非线性复杂问题进行处理的过程中,展现出来的优势特征非常突出,本文针对雾霾天气预测中支持向量机的应用做出了进一步探究,对支持向量机的概念、支持向量机的基本思想、建立雾霾预测模型、预测试验给出了详细的分析。     

Understanding crashes involving roadway objects with SHRP 2 naturalistic driving study data

Introduction: Crashes involving roadway objects and animals can cause severe injuries and property damages and are a major concern for the traveling public, state transportation agencies, and the automotive industry. This project involved an in-depth investigation of such crashes based on the second Strategic Highway Research Program (SHRP 2) Naturalistic Driving Study (NDS) data including detailed information and videos about 2,689 events. Methods: The research team conducted a variety of logistic regression analyses, complemented by Support Vector Machine (SVM) analyses and detailed case studies. Results: The logistic regression results indicated that driver behavior/errors, involvement of secondary tasks, roadway characteristics, lighting condition, and pavement surface condition are among the factors that contributed significantly to the occurrence and/or increased severity outcomes of crashes involving roadway objects and animals. Among these factors, improper turning movements (odds ratio = 88), avoiding animal or other vehicle (odds ratio = 38), and reaching/moving object in vehicle (odds ratio = 29) particularly increased the odds of crash occurrence. Factors such as open country roadways, sign/signal violation, unfamiliar with roadway, fatigue/drowsiness, and speeding significantly increased the severity outcomes when such crashes occurred. The sensitivity analysis of the three SVM classifiers confirmed that driver behavior/errors, critical speed, struck object type, and reaction time were major factors affecting the occurrence and severity outcomes of events involving roadway objects and animals. Practical Applications: The study provides insights on risk factors influencing safety events involving roadway objects, including their occurrence and the severity outcomes. The findings allow researchers and traffic engineers to better understand the causes of such crashes and therefore develop more effective roadway- and vehicle- based countermeasures.     

高职院校市场营销专业工学结合典型案例研究

通过对中国环境管理干部学院市场营销专业与北京2688电子商务有限公司开展的校企合作项目典型案例进行分析,指出该项目通过将企业真实任务引入校园市场,构建了基于完整工作流程的市场营销专业实践教学体系,并且打通了校内实践教学、顶岗实习与就业的人才培养通道,真正意义上实现了“订单式”培养。     

“多流程、多技能、多任务”式教学模式的研究与实践

基于"工作过程"教育教学理念,提出"多流程、多技能、多任务"的教育教学模式,将学生的学习课程进行分解、重组,按照"典型任务分析—学习领域设计—具体教学任务实施"的原则,研究了典型任务抽取、学习范围划分以及项目任务的情境教学与实施,并在实际教学过程中取得了良好的学习效果。     

从说课看高职高专院校学情

高职高专学生由于特定的生理和心理特点,在选修体育课程过程中出现随群现象,学习积极性不高。通过说课对高职高专院校的学情加以分析,以便科学地、有目地、有针对性地安排教学内容,增强学生的自信心,提高他们的心理素质和身体素质。     

Measurement, Collaborative Learning and Research for Sustainable Use of Ecosystem Services: Landscape Concepts and Europe as Laboratory

Policies at multiple levels pronounce the need to encompass both social and ecological systems in governance and management of natural capital in terms of resources and ecosystems. One approach to knowledge production and learning about landscapes as social–ecological systems is to compare multiple case studies consisting of large spaces and places. We first review the landscape concepts’ biophysical, anthropogenic, and intangible dimensions. Second, we exemplify how the different landscape concepts can be used to derive measurable variables for different sustainability indicators. Third, we review gradients in the three dimensions of the term landscape on the European continent, and propose to use them for the stratification of multiple case studies of social–ecological systems. We stress the benefits of the landscape concepts to measure sustainability, and how this can improve collaborative learning about development toward sustainability in social–ecological systems. Finally, analyses of multiple landscapes improve the understanding of context for governance and management.     

浅谈影响烧结机头电除尘器效率的主要因素

针对烧结机头烟气、烟尘的特点,对影响机头电除尘器运行效率的主要因素进行了分析,并提出了一些应付不利因素的对策,为提高烧结机机头除尘器除尘效率和使用寿命,进一步加强和改善除尘器运行效果,实现达标排放提供了理论依据及技术方案。     

锅炉烟道气脱硫除尘超重机的工程应用

中小型锅炉烟道气脱硫除尘超重机是一种新型的高效脱硫除尘一体化技术,该设备体积小、效率高,操作方便、维修简单。在此论述中小型锅炉烟道气脱硫除尘超重机的工程原理和设计方案,讨论在设计和操作过程中存在的一些主要问题及解决措施。     

火炸药企业重大事故隐患危险性评估的计算机自学习实现

通过对火炸药工厂重大事故隐患危险性评估方法的分析,以计算机自学习的基本结构为主线,详细探讨了以机械学习策略完成该评估程序中对新危险品源自学习的过程。对此过程中知识表示等几个应注意的问题进行了描述