Adaptive Process Control in Rubber Industry

This paper describes the problems and an adaptive solution for process control in rubber industry. We show that the human and economical benefits of an adaptive solution for the approximation of process parameters are very attractive.

The modeling of the industrial problem is done by the means of artificial neural networks. For the example of the extrusion of a rubber profile in tire production our method shows good resuits even using only a few training samples.     

Caring for country through participatory art: creating a boundary object for communicating Indigenous knowledge and values

The trend towards the inclusion of diverse groups in environmental decision-making has led to the need to explore new forms of communication to engage communities in expressing their values and aspirations. Participatory art as an emergent methodology was explored with Traditional Owner groups involved in policy development through the Girringun Aboriginal Corporation in northern Queensland, Australia. The works began with a moderated focus group exploring the theme What does caring for country mean to you? Participants then worked collaboratively on one canvas over some six weeks. Individual expressions were discussed with participants during and following their creation. Themes emerging from the focus group and painting workshop included those related to culture, well-being, environment, politics, and holism, which was central to the discussions. The common thread of the work was that people need to interact with country in order to care for country.     

Using Visual Impact Metaphors to Stimulate Environmentally Friendly Behavior: The Roles of Response Efficacy and Evaluative Persuasion Knowledge

ABSTRACT

Although people often are aware of the importance of adopting environmentally friendly lifestyles, they might be reluctant to do so as they believe that their actions do not make a difference (i.e. low response efficacy). Furthermore, they might experience reactance (e.g. negative attitudes) towards environmental messages that encourage them to adopt an environmentally friendly lifestyle. Therefore we experimentally tested whether it is possible to stimulate people to adopt an environmentally friendly lifestyle (i.e. recycle more clothing) by using visual impact metaphors that convey the message that old clothes deserve a new life. The findings show that a message in the form of a visual impact metaphor (vs. no visual impact metaphor) results in more positive attitudes towards recycling and stronger recycling intentions. This effect was mediated by two different underlying mechanisms: Response efficacy and more positive attitudes towards the persuasive attempt (i.e. positive evaluative persuasion knowledge).     

Hunger amidst plenty: farmworker food insecurity and coping strategies in California

Farmworkers are often overlooked as producers and consumers of food; although farmworkers in California labour in some of the most productive agricultural regions in the world, they are largely food insecure. This paper investigates approaches to relieving farmworker food insecurity in one of the most productive agricultural regions in North America, California's Northern Central Coast. I explore the structural causes for farmworker food insecurity, looking at how farmworker food insecurity is linked to international trade and immigration policies, as well as the systematic exploitation of workers in California agriculture. Investigating the various ways that farmworkers cope with food insecurity, I compare two different approaches, food assistance programmes and farmworker gardens. I discuss the linkages between farmworkers' place in the food system as both producers and consumers, as they simultaneously are exploited for their labour and create their own coping mechanisms utilising their embodied agricultural knowledge.     

基于模糊集理论和专家知识的互因失效分析

针对传统方法对系统内部各部件互相影响研究较少的现状,提出了互因失效数学模型。以陀螺仪信号处理模块为对象,用互因失效模型进行分析,利用模糊集理论和专家知识确定互因相关系数,计算了各部件的互因失效率并进行排序,找出了系统薄弱环节。     

A mixed methodology for evaluating use of evidence in conservation planning

Conservation practitioners widely recognize the importance of making decisions based on the best available evidence. However, the effectiveness of evidence use in conservation planning is rarely assessed, which limits opportunities to improve evidence-based practice. We devised a mixed methodology for empirically evaluating use of evidence that applies social science tools to systematically appraise what kinds of evidence are used in conservation planning, to what effect, and under what limitations. We applied our approach in a case study of the Nature Conservancy of Canada (NCC), a leading land conservation organization. We conducted qualitative and quantitative analyses of 65 NCC planning documents (n = 13 in-depth) to identify patterns in evidence use, and surveyed 35 conservation planners to examine experiences of and barriers to using evidence. Although claims in plans contained a wide range of evidence types, 26% of claims were not referenced or associated with an identifiable source. Lack of evidence use was particularly apparent in claims associated with direct threats, particularly those identified as low (71% coded as insufficient or lacking evidence) or medium (45%) threats. Survey participants described relying heavily on practitioner experience and highlighted capacity limitations and disciplinary gaps in expertise among planning teams as barriers to using evidence effectively. We found that although time-intensive, this approach yielded actionable recommendations for improving evidence use in NCC conservation plans. Similar mixed-method assessments may streamline the process by including interviews and refining the document analysis frames to target issues or sections of concern. We suggest our method provides an accessible and robust point of departure for conservation practitioners to evaluate whether the use of conservation planning reflects in-house standards and more broadly recognized best practices.     

The Boiling Liquid Expanding Vapour Explosion (BLEVE): A bibliometric review and futur trends

The phenomenon “Boiling Liquid Expanding Vapor Explosion” (BLEVE) is one of the most common accidental events in the chemical industry and in the transport of dangerous goods. A bibliographic search in the Web of Science Core Collection reported 375 publications related to BLEVEs from 1979 to the present (August 10, 2022). A bibliometric analysis was conducted using the VOSviewer tool to allow a better understanding of the scientific knowledge on this phenomenon. A comprehensive overview of BLEVE research is presented in terms of annual publication, top journals, countries/regions with the highest productivity, authors and their cooperation networks, key terms, and co-citation analysis. The 375 publications cover 691 authors, 83 journals, 44 countries or territories and 290 institutions. The key publication (highest number of citations and co-citations) for understanding the BLEVE phenomenon is. The results obtained constitute a snapshot of the current state of the art on BLEVEs and can be applied to improve the understanding of research on this topic and establish new trends of research.     

Socioeconomic development and ecological traits as predictors of human–bird conflicts

Because of the significant impacts on both human interests and bird conservation, it is imperative to identify patterns and anticipate drivers of human–bird conflicts (HBCs) worldwide. Through a global systematic review, following the PRISMA 2020 guidelines, we analyzed the socioeconomic factors and bird ecological traits driving the degree of knowledge and extent of HBCs. We included 166 articles published from 1971 to 2020 in our analyses through which we built a profile of the socioeconomic conditions of 52 countries with reported conflicts and the ecological traits of the 161 bird species involved in HBCs. Although HBC expanded worldwide, it had the greatest impact in less-developed countries (estimate 0. 66 [SE 0.13], p< 0.05), where agriculture is critical for rural livelihoods. Species with a relatively greater conflict extent had a relatively broader diet (estimate 0.80 [SE 0.22], p<0.05) and an increasing population trend (estimate 0.58 [SE 0.15], p<0.05) and affected human interests, such as agriculture and livestock raising. In countries with greater biodiversity, HBCs caused greater socioeconomic impacts than in more developed countries. Our results highlight the importance of understanding and addressing HBCs from multiple perspectives (ecological, sociocultural, and political) to effectively protect both biodiversity and local livelihoods.     

基于智能算法的大气污染防控知识图谱：研究方法、演化路径与应用展望

大气污染防控是保障人民健康与生命安全重要的研究课题，智能算法是大气污染防控及预测预警的重要工具手段。通过Citespace对Web of Science核心数据库中1998—2021年智能算法在大气污染防控中应用的文献进行可视化分析。结果表明：(1)智能算法在大气污染防控应用历经“数理统计-遥感监测-数字模拟-神经网络算法”四个阶段；(2)研究主题集聚为“神经网络模型”“智慧健康检测系统”和“城市空间的大气污染”三个核心聚类演变路径；(3)应用方式包括“大气污染时空分布”“大气污染因素相关性”“大气污染事件预测”“空气质量优劣评估”与“健康韧性城市应用”五个方面。未来智能算法在大气污染防控中的应用趋势，将体现“高精度预测-全周期评估-健康化理念”的特点。