Characterization of humic substances of different origin by means of mass spectrometry and neural networks

Mass spectrometry fingerprinting of humic acids extracted from different soils has been carried out using laser desorption/ionization mass spectrometry (LDI-TOF MS). LDI-TOF MS provides characteristic mass spectra fingerprints for the humic acids of different origin. The information given in the fingerprints was evaluated for natural grouping trends in the samples by neural networks computing tools, such as self-organizing feature map (SOFM). This approach is efficient for recognizing patterns in the humic acids samples independently of their characteristic variability; variability characterizing natural products such as humic substances. The use of multi-layer perceptron artificial neural networks gave a successful classification of the samples.     

Homophily and Agency: Creating Effective Sustainable Development Networks

Community networks are self-organized groupings that form for many different reasons. Some networks, connected mainly through bonding ties, are based on personal interests and relationships; others, based mainly on bridging ties, centre around broader interests. These networks form to create collective agency for engaging with social, environmental, and other issues through the concentration of social capital. The multi-scaled and evolutionary nature of sustainable development issues requires that community groups dedicated to engaging with such issues be particularly diverse, resilient, and flexible. As such, they must build a large number of bridging ties leading to external resources and limit the potential for bonding ties to impose constraining norms upon the group. Over time, however, volunteer groups tend towards a state of homophily, the tendency of groups to form from similar actors and then become more similar with time. This tendency leads to a decrease in the number of the bridging ties that help to provide group agency. Homophily must be actively recognized within community sustainable development groups if they are to remain effective over the long term. This paper suggests methods to prevent and control group homophily drawn from experience in forming small, time-limited sustainable development networks. Readers should send their comments on this paper to: BhaskarNath@aol.com within 3 months of publication of this issue     

Field‐Scale Application of Three Types of Neural Networks to Predict Ground‐Water Levels1

Abstract: In this paper, a field‐scale applicability of three forms of artificial neural network algorithms in forecasting short‐term ground‐water levels at specific control points is presented. These algorithms are the feed‐forward back propagation (FFBP), radial basis networks (RBN), and generalized regression networks (GRN). Ground‐water level predictions from these algorithms are in turn to be used in an Optimized Regional Operations Plan that prescribes scheduled wellfield production for the coming four weeks. These models are up against each other for their accuracy of ground‐water level predictions on lead times ranging from a week to four weeks, ease of implementation, and execution times (mainly training time). In total, 208 networks of each of the three algorithms were developed for the study. It is shown that although learning algorithms have emerged as a viable solution at field scale much larger than previously studied, no single algorithm performs consistently better than others on all the criteria. On average, FFBP networks are 20 and 26%, respectively, more accurate than RBN and GRN in forecasting one week ahead water levels and this advantage drops to 5 and 9% accuracy in forecasting four weeks ahead water levels, whereas GRN posted a training time that is only 5% of the training time taken by that of FFBP networks. This may suggest that in field‐scale applications one may have to trade between the type of algorithm to be used and the degree to which a given objective is honored.     

专业保险公司介入建设工程项目监理研究

通过对工程项目特点的分析和对参与项目建设当事人对工程质量安全的影响归因分析,认为,制度安排的缺陷及诚信文化缺失是我国建设工程质量安全事故频繁发生的根本原因。根据我国国情并借鉴国际工程保险的经验,笔者指出,专业保险公司介入建设工程项目监理,是弥补制度缺陷和诚信文化缺失、提高工程的质量安全系数的最佳选择。     

基于贝叶斯网络的人因可靠性评价

提出一种贝叶斯网络的人因可靠性评价(HRABN)方法,其中的每个因子对应于贝叶斯网络中的节点,该方法可对人因可靠性作定量分析和定性分析。在定性分析上,节点的因果关系(HRA中的因子关系)及需要改进的薄弱节点都直观地显示在层次图中;在定量分析方面,对节点因子后验概率的推断通过HRA中的先验信息(包含仿真数据、现场操作及专家知识等)和最新信息得到。如果人因可靠性贝叶斯网络中的每个节点的先验概率分布和后验概率分布都已知,模型的可信性就可通过贝叶斯因子进行定量验证。贝叶斯网络扩展性好,当有新的节点因子需要考虑时,只需要补充对应的节点;笔者的方法也能很好地应用在不同行业的HRA。     

迎评促建期间大学生思想政治工作的开展与思考

搞好大学生思想政治工作对促进学校的建设工作意义重大.针对当前我院迎评促建工作中的学生思想上存在的误区,应进一步加强宣传、加强思想政治工作队伍建设以及不断总结过去和创新现在,根据当前迎评促建工作的实际,采取一定措施.     

The convergence of alternative food networks within “rural development” initiatives: the case of the New Rural Reconstruction Movement in China†

Rural sociologists and geographers have conceptualised different rural development trajectories including “the agri-industrial model”, “the post-productivist model” and “the rural development model”. Alternative food networks (AFNs) are increasingly recognised as a “forerunner” and a critical component of the emerging “rural development model” in the West. Meanwhile, Marsden and Franklin [2013. Replacing neoliberalism: theoretical implications of the rise of local food movements. Local Environment, 18 (5), 636–641] pointed out that there is a “local trap” in the current conceptualisation of AFNs that overemphasises their local embeddedness and heterogeneity. This “local trap” marginalises AFNs and, therefore, hinders their potential for transforming the industrialised conventional food system. The convergence and scaling-up of fragmented AFNs have been recognised as important ways to address this marginalisation issue and thus have attracted considerable attention. However, current studies of the convergence of AFNs focus mainly on the role of food-centred organisations without recognising the role of the emerging “rural development” initiatives in the convergence of AFNs. Based on in-depth interviews with key stakeholders and analysis of secondary data, this paper uses the New Rural Reconstruction Movement (NRRM), an emerging alternative rural development movement in China, as an example to illustrate how the NRRM opens up a novel space for the convergence of AFNs. We argue that the interrelationship between AFNs and rural development is indeed reciprocal. The NRRM, following the “rural development” trajectory, functions as a hub for the convergence and scaling-up of various alternative food initiatives. Strategies for achieving convergence include constructing a “common ground” for these initiatives, establishing national alliances and organisations, sharing knowledge and exchanging personnel among them.     

Exploring Environmentalism amidst the Clamor of Networks: A Social Network Analysis of Utah Environmental Organizations

Dwelling in a world awash in multiple environmental crises while science and social theory erode the last vestiges of the subject of humanism, it makes sense to imagine our world beyond the lens of humanism and turn to diverse methodologies in order to explore what is going on and how to promote changes that nurture ecological sustainability. In this essay we take on this task in relation to environmental communication. In what follows we explore the contours of the age after humanism, what we term the Age of the Animate Earth. In the wake of the theoretical and actual deconstruction of the subject, we offer networks as a key unit of analysis. From this perspective, we suggest social network analysis (SNA) as one viable method for doing environmental communication studies and perform this move through a SNA of Utah environmental groups.     

Assessing the population-level conservation effects of marine protected areas

Marine protected areas (MPAs) cover 3–7% of the world's ocean, and international organizations call for 30% coverage by 2030. Although numerous studies show that MPAs produce conservation benefits inside their borders, many MPAs are also justified on the grounds that they confer conservation benefits to the connected populations that span beyond their borders. A network of MPAs covering roughly 20% of the Channel Islands National Marine Sanctuary was established in 2003, with a goal of providing regional conservation and fishery benefits. We used a spatially explicit bioeconomic simulation model and a Bayesian difference-in-difference regression to examine the conditions under which MPAs can provide population-level conservation benefits inside and outside their borders and to assess evidence of those benefits in the Channel Islands. As of 2017, we estimated that biomass densities of targeted fin-fish had a median value 81% higher (90% credible interval: 23–148) inside the Channel Island MPAs than outside. However, we found no clear effect of these MPAs on mean total biomass densities at the population level: estimated median effect was –7% (90% credible interval: –31 to 23) from 2015 to 2017. Our simulation model showed that effect sizes of MPAs of <30% were likely to be difficult to detect (even when they were present); smaller effect sizes (which are likely to be common) were even harder to detect. Clearly, communicating expectations and uncertainties around MPAs is critical to ensuring that MPAs are effective. We provide a novel assessment of the population-level effects of a large MPA network across many different species of targeted fin-fish, and our results offer guidance for communities charged with monitoring and adapting MPAs.