人工神经网络在水环境质量评价中的应用

为了将人工神经网络应用于水环境质量评价,应用了人工神经网络Ｂ—Ｐ算法,构造了水环境质量评价模型,该模型应用于实例评价结果表明,人工神经网络用于环境质量评价具有客观性,通用性和实用性。     

基于B-P神经网络的环境质量评价方法

提出可将环境质量评价的无论是定量指标还是定性参数转化成"二进制"的"1"或"0",进而将这种二进制数引入B-P网络.通过实例探讨,这种新的B-P网络既适用于定量指标的水质参数又适用于定性指标的水质参数.     

环境监测站INTRANET建设研究

研究探讨了环境监测站内部网络 (Intranet)建设方案、Web数据库开发应用方案、网站的规划方法、结构与内容 ,对其经济性、技术合理性、适用性作了阐述。     

Direct protein-protein interaction network for insecticide resistance based on subcellular localization analysis in Drosophila melanogaster

Abstract

In present study, we constructed the direct protein-protein interaction network of insecticide resistance based on subcellular localization analysis. Totally 177 of 528 resistance proteins were identified and they were located in 11 subcellular localizations. We further analyzed topological properties of the network and the biological characteristics of resistance proteins, such as k-core, neighborhood connectivity, instability index and aliphatic index. They can be used to predict the key proteins and potential mechanisms from macro-perspective. The problem of resistance has not been solved fundamentally, because the development of new insecticides can’t keep pace with the development speed of resistance, and the lack of understanding of molecular mechanism of resistance. As the further analysis to reduce data noise, we constructed the direct protein-protein interaction network of insecticide resistance based on subcellular localization analysis. The interaction between proteins located at the same subcellular location belongs to direct interactions, thus eliminating indirect interaction. Totally 177 of 528 resistance proteins were identified and they were located in 11 subcellular localizations. We further analyzed topological properties of the network and the biological characteristics of resistance proteins, such as k-core, neighborhood connectivity, instability index and aliphatic index. They can be used to predict the hub proteins and potential mechanisms from macro-perspective. This is the first study to explore the insecticide resistance molecular mechanism of Drosophila melanogaster based on subcellular localization analysis. It can provide the bioinformatics foundation for further understanding the mechanisms of insecticide resistance. It also provides a reference for the study of molecular mechanism of insecticide resistance of other insects.     

Identifying key needs for the integration of social–ecological outcomes in arctic wildlife monitoring

For effective monitoring in social–ecological systems to meet needs for biodiversity, science, and humans, desired outcomes must be clearly defined and routes from direct to derived outcomes understood. The Arctic is undergoing rapid climatic, ecological, social, and economic changes and requires effective wildlife monitoring to meet diverse stakeholder needs. To identify stakeholder priorities concerning desired outcomes of arctic wildlife monitoring, we conducted in-depth interviews with 29 arctic scientists, policy and decision makers, and representatives of indigenous organizations and nongovernmental organizations. Using qualitative content analysis, we identified and defined desired outcomes and documented links between outcomes. Using network analysis, we investigated the structure of perceived links between desired outcomes. We identified 18 desired outcomes from monitoring and classified them as either driven by monitoring information, monitoring process, or a combination of both. Highly cited outcomes were make decisions, conserve, detect change, disseminate, and secure food. These reflect key foci of arctic monitoring. Infrequently cited outcomes (e.g., govern) were emerging themes. Three modules comprised our outcome network. The modularity highlighted the low strength of perceived links between outcomes that were primarily information driven or more derived (e.g., detect change, make decisions, conserve, or secure food) and outcomes that were primarily process driven or more derived (e.g., cooperate, learn, educate). The outcomes expand monitoring community and disseminate created connections between these modules. Key desired outcomes are widely applicable to social–ecological systems within and outside the Arctic, particularly those with wildlife subsistence economies. Attributes and motivations associated with outcomes can guide development of integrated monitoring goals for biodiversity conservation and human needs. Our results demonstrated the disconnect between information- and process-driven goals and how expansion of the monitoring community and improved integration of monitoring stakeholders will help connect information- and process-derived outcomes for effective ecosystem stewardship.     

基于链路预测的安全隐患管理研究*

为探寻安全隐患的发生规律，揭示安全隐患的演化特点，为管理人员提供建议和参考。以潞安集团司马煤业有限公司2009—2015年安全隐患记录为数据源，建立无向加权安全隐患共词网络，利用链路预测技术，寻找安全隐患的内在联系及发展趋势。结果表明:相比于共同邻居、资源分配等基于局部信息的相似性指标，资源分配指标能够更好地预测安全隐患各个关键词之间的变化联系；通过分析关键词共现关系，证实预测的准确性，预测出部分未来存在但当前未产生的节点关系。安全管理人员可基于此方法采取有针对性的预防措施，减少相关隐患的发生。     

Quantitative sensitivity and reliability analysis of sensor networks for well kick detection based on dynamic Bayesian networks and Markov chain

Kick is considered as an early warning sign to the blowout that is among the most undesired and feared accidents during drilling operations. Kick detection system is commonly used to timely identify the occurrence of a kick. The method commonly used for kick detection relies on the proper selection of monitoring indicators. A kick detection system should not only have very high accuracy but also maintain reliable over a long time. Different from the existing studies focusing on improving the detection accuracy, this paper presents a frame emphasizing on quantitatively analyzing and enhancing the reliability of the kick detection sensor networks. The dynamic Bayesian network (DBN) for the sensor networks is established that employs Markov chain to obtain the reliability degradation of measurement sensors over time. The proposed method is applied and evaluated by case studies to conduct reliability and sensitivity analysis for kick detection sensor networks. The reliability analysis results demonstrate that the proposed method can quantitatively analyze the reliability of a kick detection sensor networks consisting of various sensors over given time periods. The sensitivity analysis results indicate that the proposed method is effective in identifying the critical sensors that have the greatest effect on the reliability of one certain kick detection system. Based on the analysis results, optimized logical combination of sensors of a kick detection system can be achieved. An improved sensor network for the unreliable case was proposed and evaluated.     

如何优化经济欠发达地区农村客运网

经济欠发达地区农村的道路情况和客运网络的建设相对落后,同时,由于受交通不便的制约,农村经济发展速度受到很大的影响,农民出行难的问题仍然没有得到根本上的解决。本文通过对经济欠发达地区农村客运网现状的分析,找出目前造成农村客运网络落后的原因,并提出相应的对策和建议。     

中国生物质能政策变迁研究:2000—2019年

生物质柴油和生物质沼气是生物质能发展的两大着力点,两者在性质上存在较大差异,相应的政策设计和发展也各有不同。以政策网络理论、政策变迁相关理论为理论基础,通过搜集整理中央层面关于生物质柴油和生物质沼气的政策文本,采用政策计量和内容分析法,分析政策的发文时间、文本类型等文本外部属性特征,且根据政策文本内容划分了5类政策目标和13类政策工具,深入比较不同生物质能源在变迁中政策目标、政策工具和政策主体网络的差异。研究结果表明,中国生物质能的政策变迁,呈现多元化的演进动态:(1)生物质柴油与沼气政策的发文单位与发文类型在各时间段有所异同,整体来看,生物质柴油与沼气发文最多的单位为国务院和国家发展和改革委员会,不同的是生物质柴油发文数量位于第三位的是国家能源局,而生物质沼气是生态环境部和农业农村部。在发文类型方面,"通知与意见"类型构成了主要占比。(2)同一生物质的政策目标与工具在不同时期的政策变迁中,有延续性和差异性。例如,生物质柴油在各阶段始终以技术创新、能源供应连续性为主要政策目标来保证政策延续性,但在不同阶段也会关注环境可持续性、工业发展等;在政策工具上,生物质柴油即使在变迁中也都会使用财政支持,而各阶段配合使用的工具重心也不一致。(3)不同生物质能源使用的政策工具在同一时期也存在异同。如在第二阶段生物质柴油和生物质沼气所聚焦的政策目标和政策工具完全不同,在第一和第三阶段两者则存在小部分相似。(4)不同生物质能源的政策网络在各阶段表现存在异同。全国人民代表大会和国务院始终是政策网络中的重要主体,各个阶段不同生物质能发文主体的角色和协调互动情况随政策变迁而变化。最后,在研究结论的基础上提出政策目标与政策工具统筹运用、建立有效的政策网络主体协同治理机制的启示。     

The environmental dimension of national security: A test of systems analysis methods

The systems approach permits us to analyze national security as a cluster of interconnected elements, in which the environmental dimension appears to be the most important one. The environmental problem is divided into two main aspects: environmental security per se and the impact of environment on the overall status of a nation's security. It is argued here that the quality of life and health serve as both the main objective and the principal criterion of environmental security in a social system. Indices of these two factors are used in this article as indicators of the state of this type of security. They confirm that vast areas of Russia, the Ukraine, and Central Asia (especially the Aral Sea region) should be considered as presenting a substantial risk to local people and even producing global impacts on both natural and man-made systems. Environmental factors that destabilize national security are also divided into two groups: those that impact social systems directly and negatively (mainly natural disasters) and technological and sociopolitical agents that cause indirect impacts, in both war and peace time, as well as in the civil and military sectors of the economy. Developments in the former Soviet Union (the Commonwealth of Independent States) are used as an illustration of the consequences that such impacts may have on the status of national security.