Waging the struggle for healthy eating: food environments,dietary regimes and Brazil's dietary guidelines

The struggle for healthy eating is a nascent social movement that represents active resistance to the hostile food environments created by multinational food and beverage corporations. Using a political economy approach and leveraging Winson's [2013. The industrial diet: the degradation of food and the struggle for healthy eating. Vancouver: UBC Press] concepts of dietary regimes and the industrial diet, this paper will examine the strengths and limitations of Brazil's new dietary guidelines and discuss its role as a precursor to a new dietary regime that incorporates social justice and sustainability.     

应急状态下矿井瓦斯爆炸致灾因子传播快速分类器研究*

为了在矿井瓦斯爆炸灾变发生后，快速确定瓦斯爆炸冲击波的压力、温度、有毒有害气体等致灾因子在井巷网络中的传播情况。利用CFD数值模拟或爆炸实验获得瓦斯爆炸冲击波的压力、温度、有毒有害气体等致灾因子传播大数据，将影响瓦斯爆炸传播的因素以及观测点等参数作为人工神经网络的输入节点，压力、温度等致灾因子作为输出节点，建立瓦斯爆炸致灾因子传播快速预测机器学习模型，解决CFD数值模拟的建模、计算及数据分析处理等过程耗时大、不适应灾变应急的快速响应等问题。研究结果表明:在给定爆炸位置和爆炸当量的均直巷道，获得任一点的爆炸冲击波压力、温度以及有毒有害气体所需时间是瞬时的，人工神经网络平均训练误差为6.92 %，有训练样本的验证误差为5.24 %，无训练样本的验证误差为6.88 %。     

遗传禁忌搜索的能量均衡深井安全监测WSN分簇路由算法

针对深井巷道无线传感器网络（Wireless Sensor Networks，WSN）安全监测中节点能量消耗不均匀导致网络生命周期较短的问题，在分析低功耗自适应集簇分层型算法（Low Energy Adaptive Clustering Hierarchy，LEACH）、遗传算法（Genetic Algorithm，GA）和禁忌搜索算法（Tabu Search Algorithm，TS）的基础上，提出遗传禁忌搜索的能量均衡深井安全监测WSN分簇路由算法（GTSR-EB），以分簇方式来减少数据发送量与寻优开销，利用优化GA算法和TS算法进行多路径搜索以选出一条能耗均衡、路径传输距离最短的最优路径。仿真实验表明:GTSR-EB算法网络存活周期为LEACH算法的2.17倍、GA算法的1.18倍，GTSR-EB网络能量利用率更高、生存周期更长。     

欧盟碳价影响因素研究及其对中国的启示

作为一项市场创新和政策创新,即将启动的中国全国性碳市场备受国内外关注。为保证其成功建立与平稳发展,相关经验借鉴已刻不容缓,但作为投石问路的7大试点碳市场发展层次不齐,可供参考的模式有限,因此研究全球第一大碳市场——欧盟碳排放交易体系(EU ETS)及其对中国的可参照性尤为迫切;而作为市场是否成熟的风向标,碳价规律性特征的挖掘尤为重要。前期国内外学者分别发现CER价格、原油价格、煤炭价格、天然气价格、欧洲工业指数、联合国气候变化大会、政府政策、极寒天气、暖冬天气、自然灾害、重大事件等多种因素都有可能引起EUA期货价格波动。本研究通过引入MIV-BP神经网络模型,对EU ETS二期和三期的EUA期货价格进行训练和测试,模拟了上述11个因素对EUA价格的影响,弥补了传统计量模型难以同时处理较多变量及不能整合定性与定量变量等缺点。通过对EU ETS二期1 149组和三期775组数据的挖掘,得出了各变量对EUA期货价格的影响程度。其中,二期运行阶段各变量影响程度从大到小排序为:自然灾害COPCER极寒天气Coal重大事件Brent政府政策Stock600Gas暖冬天气;三期运行阶段各变量影响程度从大到小排序为:COPStock600Coal自然灾害极寒天气重大事件政府政策BrentGasCER暖冬天气。最后,本研究对二、三期各变量对碳价影响程度的变化进行了解释,并对中国未来建立全国性碳市场提出了以下四点建议:(1)稳定碳市场参与主体预期;(2)完善核证减排抵消机制,保持政策稳定;(3)配额分配考虑区域差异;(4)建立配额应急机制。     

Experimental investigation into different selectively coated receivers and silver-coated selective surface compound parabolic reflector using regression modelling for industrial heating

The paper explores the experimental results of the prototype compound parabolic trough made of mild steel and silver-coated selective surface. This prototype has been tested with top cover. The performance of the collector has been evaluated with two kinds of receivers coated with three types of black coatings. First receiver is of copper coated with black copper, second receiver is of mild steel coated with black copper and third receiver is of copper coated with black zinc. From actual field experiments, it has been observed that the efficiency of the system achieved with copper receiver coated with black copper is comparatively higher than the other two types of receivers. A simple regression analysis is used to correlate the thermal performance parameters of the system.     

Non-linear autoregressive neural network approach for inside air temperature prediction of a pillar cooler

The volcanic plate made pillar cooler system is designed for outdoor spaces as a heat exchanging medium and reduces the outcoming air temperature which flows through the exhaust port. This paper proposes the use of artificial neural networks (ANNs) to predict inside air temperature of a pillar cooler. For this purpose, at first, three statistically significant factors (outside temperature, airing and watering) influencing the inside air temperature of the pillar cooler are identified as input parameters for predicting the output (inside air temperature) and then an ANN was employed to predict the output. In addition, 70%, 15% and 15% data was chosen from a previously obtained data set during the field trial of the pillar cooler for training, testing and validation, respectively, and then an ANN was employed to predict inside air temperature. The training (0.99918), testing (0.99799) and validation errors (0.99432) obtained from the model indicate that the artificial neural network model (NARX) may be used to predict inside air temperature of pillar cooler. This study reveals that, an ANN approach can be used successfully for predicting the performance of pillar cooler.     

工业污染源产排污系数存在问题分析及修订建议

通过对基层环境统计部门工业源产排污系数实际应用调研,结合当前环境保护重点工作和相关资料查阅等,分析了工业污染源产排污系数存在的主要问题:部分工业源产排污系数缺失,部分工业源产排污系数与实际偏差较大等。针对存在的主要问题提出了有优先顺序的修订建议,以期对第二次全国污染源普查工作提供有益参考。     

Changes in the structure of chortobiont invertebrate community exposed to emissions from a copper smelter

The aboveground phytomass of meadow plants and the density of chortobiont invertebrates in secondary upland meadows were estimated using a biocenometer in three areas differing in the level of pollution with emissions from the Middle Ural Copper Smelter (Revda, Sverdlovsk oblast) in 2006 and 2007. As the smelter is approached, the total amount of phytomass (dry weight) decreases by a factor of 1.3–1.9, with the proportion of grasses reaching 100%; the total abundance of invertebrates increases two-to threefold due to sucking phytophages, which account for up to 80% of the invertebrate community. The abundance of gnawing phytophages near the smelter is reduced, with some taxa entirely missing (e.g., mollusks and phalangiid harvestmen). Rearrangements in chortobiont community structure are attributable to changes in the physiological state of plants and in the species diversity and architecture of the herbaceous layer, with consequent modification of hydrothermal conditions in it, as well as by the direct toxic effect of heavy metals.     

Scale Mismatches,Conservation Planning,and the Value of Social‐Network Analyses

Many of the challenges conservation professionals face can be framed as scale mismatches. The problem of scale mismatch occurs when the planning for and implementation of conservation actions is at a scale that does not reflect the scale of the conservation problem. The challenges in conservation planning related to scale mismatch include ecosystem or ecological process transcendence of governance boundaries; limited availability of fine‐resolution data; lack of operational capacity for implementation; lack of understanding of social‐ecological system components; threats to ecological diversity that operate at diverse spatial and temporal scales; mismatch between funding and the long‐term nature of ecological processes; rate of action implementation that does not reflect the rate of change of the ecological system; lack of appropriate indicators for monitoring activities; and occurrence of ecological change at scales smaller or larger than the scale of implementation or monitoring. Not recognizing and accounting for these challenges when planning for conservation can result in actions that do not address the multiscale nature of conservation problems and that do not achieve conservation objectives. Social networks link organizations and individuals across space and time and determine the scale of conservation actions; thus, an understanding of the social networks associated with conservation planning will help determine the potential for implementing conservation actions at the required scales. Social‐network analyses can be used to explore whether these networks constrain or enable key social processes and how multiple scales of action are linked. Results of network analyses can be used to mitigate scale mismatches in assessing, planning, implementing, and monitoring conservation projects. Discordancia de Escalas, Planificación de la Conservación y el Valor del Análisis de Redes Sociales     

线路交换开关级联失效的评估

本文主要针对信号线路交换网络设计中的失效问题展开讨论，对输出信号在传输网络中失效性进行了评估，根据失效评估在设备可靠性设计方面做了相应的考虑。