由"第十名现象"谈大学生成功智力的培养

全文从"第十名现象"入手,以美国心理学家斯腾伯格教授的"成功智力理论"为依据,对当前高校在培养大学生成功智力教育中的弊端及其因素进行分析,重点介绍了当前大学生培养成功智力缺乏的原因及发展成功智力的措施,旨在学生及教育工作者中积极倡导"成功人生"的发展观,试图为推进高校人才培养适应性提供一种新的思路和人才培养的途径.     

对我国减灾战略的几点建议

本文从我国的灾害特点徊灾害防治中的困难的角度出发,参照灾害防治的经验教训,提出建立管理国家紧急事物的职能机构;设立防灾科研和教育基金;积极开展国际交流和协作;尽快成立灾害信息情报中心和进行必要的救灾物资储备。     

Decision-tree and rule-induction approach to integration of remotely sensed and GIS data in mapping vegetation in disturbed or hilly environments

The integration of Landsat TM and environmental GIS data sets using artificial intelligence rule-induction and decision-tree analysis is shown to facilitate the production of vegetation maps with both floristic and structural information. This technique is particularly suited to vegetation mapping in disturbed or hilly environments that are unsuited to either conventional remote sensing methods or GIS modeling using environmental data bases.     

“苏南模式”与可持续发展

“苏南模式”是我国目前经济发展模式之一，取得了巨大的成就，也面临着严峻的挑战。实施可持续发展战略是“苏南模式”摆脱传统再创辉煌的必然选择，可将苏南地区建成我国可持续发展示范区。     

Into the Field: Naturalistic Education and the Future of Conservation

Abstract:  Some educational psychologists and researchers have argued that there are multiple ways of being intelligent. In the early 1980s, Howard Gardner presented a theory of multiple intelligences by proposing that humans can be described not by a single kind of intelligence, or intelligence quotient score, but rather by a variety of kinds of intelligence. This idea of considering multiple views of intelligence has helped educators look at intelligence from a less rigid, more expansive perspective. I considered how the relatively new concept of naturalistic intelligence, which is the cognitive potential to process information that is exhibited by expert naturalists, might influence the design of undergraduate biology curricula. Naturalistic intelligence can be fostered in undergraduate biology students by emphasizing the need for well-rounded scientific naturalists; developing curricula that involves students in outdoor inquiry-based projects; and helping students learn how to observe both the natural world and their own learning, skills that are essential to developing expert naturalistic knowledge. Professors, graduate students, and administrators can improve the naturalistic intelligence of undergraduate biology students by giving these students opportunities to be involved in outdoor research. Time spent outdoors alone and among people with expertise in natural history, ecology, and conservation biology will have important influences on the knowledge and skills biology undergraduates learn, the careers they pursue, and the contributions they make to conserving Earth's biodiversity.     

Considering agro-ecosystems as ecological funds for collective design: New perspectives for environmental policy

Enhancing agro-ecosystem sustainability raises difficult challenges for environmental policy: it requires both increasing knowledge on these complex systems to design effective solutions and coordinating stakeholders with diverging interests. However, most existing environmental policies consider ecosystems’ desirable properties as given, leading ecosystem managers to favor “turnkey” solutions. How could public policy better support local collective initiatives aiming at reconciling agriculture and the environment? This paper presents an empirical case study from western France, in which a partnership between an agricultural cooperative and an ecological research center resulted in a collective design initiative. We conceptually model this initiative drawing upon recent design theories and Georgescu-Roegen’s ‘fund-flow’ model, defining ‘ecological funds’ as the starting point of a collective design process. The results highlight the importance of developing policy instruments that can better support local innovation processes through greater democratization. Adopting a design approach to sustainable agricultural landscape management could be particularly fruitful in situations where collective action is necessary but where there is no common good recognized as such, and no existing community identified.     

我国智慧碳监管建设的发展路径探究

智慧碳监管是政府、园区、企业实施碳减排的现代治理手段,通过运用大数据平台,对碳排放数据进行实时监控、追踪等,实现碳排放的监控预警、考核、评估、决策等,是推进“双碳”战略的重要保障。我国碳监管的应用尚处于初级阶段,推进实施智慧碳监管既是发展方向,也面临诸多挑战。本文分析了我国智慧碳监管的发展状况、实践进展和实践特征,围绕数据管理体系、政策支撑体系、系统技术体系、创新功能应用、服务保障体系等方面存在的关键问题,提出了相应的系统策略,助推我国碳监管的智慧化发展与创新实践。     

Opportunities for redistributed manufacturing and digital intelligence as enablers of a circular economy

The linear production of consumer goods is characterised by mass manufacture by multinational enterprises and globally dispersed supply chains. The current centralised model has created a distance between the manufacturer and end user, limiting the opportunity for intelligent circular approaches for production and consumption. Through a mixed method approach, opportunities of circularity are explored for the consumer goods sector. The study presents four lenses to analyse three enterprises through a multi-case study approach to explore the potential of digital intelligence and redistributed manufacturing (RDM) as enablers of circular business models. In addition, the study examines whether Discrete Event Simulation can be used to evaluate the circular scenarios identified through quantifying flows of material that determine traditional economic value (cost/tonne). The mixed method approach demonstrates that, a qualitative systemic analysis can reveal opportunities for circularity, gained through implementing ‘digital intelligence’ and distributed models of production and consumption. Furthermore, simulations can provide a quantified evaluation on the effects of introducing circular activities across a supply chain.     

A new intelligent electronic nose system for measuring and analysing livestock and poultry farm odours

This paper introduces a new portable intelligent electronic nose system developed especially for measuring and analysing livestock and poultry farm odours. It can be used in both laboratory and field. The sensor array of the proposed electronic nose consists of 14 gas sensors, a humidity sensor, and a temperature sensor. The gas sensors were especially selected for the main compounds from the livestock farm odours. An expert system called “Odour Expert” was developed to support researchers’ and farmers’ decision making on odour control strategies for livestock and poultry operations. “Odour Expert” utilises several advanced artificial intelligence technologies tailored to livestock and poultry farm odours. It can provide more advanced odour analysis than existing commercially available products. In addition, a rank of odour generation factors is provided, which refines the focus of odour control research. Field experiments were conducted downwind from the barns on 14 livestock and poultry farms. Experimental results show that the predicted odour strengths by the electronic nose yield higher consistency in comparison to the perceived odour intensity by human panel. The “Odour Expert” is a useful tool for assisting farmers’ odour management practises. Supported by Ontario Pork, Natural Sciences and Engineering Research Council (NSERC), and Ontario Ministry of Agriculture and Food (OMAF) of Canada.     

随机森林理论及其在水文地质领域的研究进展

随机森林理论是近年来快速发展的一种人工智能集成学习算法,由于其对数据系列中异常值的容忍度较高,且预测结果准确度显著高于其他常用算法,在以水文地质领域为代表的自然科学研究中的应用越来越广泛.本文在介绍随机森林算法理论和应用方法的基础上,结合国外内已有研究成果,分析其在地下水潜力评估、地表水-地下水转化、地下水水质评价和地下水污染预测等水文地质领域的应用效果,对随机森林理论在水文地质领域的应用前景和进一步发展的方向进行了讨论.结果表明,随机森林理论可以有效解决水文地质领域研究中的参数和过程不确定性问题,在水文地质结构精确刻画、水文地质参数准确反演、水文地质过程的描述均具有广阔的应用前景.