Les Reciproqueteurs: post-regulatory corporatism

ABSTRACT

Reflexive governance can be understood as an emergent encapsulated trust-building corporatism where network participants are neither state functionaries nor market entrepreneurs but network reciproqueteurs. This paper argues that such reflexive network governance results in a post-regulatory corporatism (PRC)—a more adaptable, less formalized, and flexible mode of interest intermediation, policy-making, and policy-implementation than previous modes of corporatist intermediation. Functional differentiation processes engender ‘negotiated connected contracts' in rescaled space in between inter-regional assemblages, a mode of structurally coupling new social partners in the emergent transnational knowledge-based economy. This involves the building of new social capital of network trust-building manifested in the norms of reciprocity and reflexive law constituted as a new mode of protocolism: one associated with the social learning and policy designing necessary for ecological systems' autopoeisis, resilience, and sustainability. This paper conceptualizes reflexive network governance as protocolism in constellations of PRC and discusses examples from the area of environmental policy-making. PRC is understood as a new mode of negotiated rule-making: as a recursive protocolism of multi-stakeholder social pacts constituted by frame agreements and negotiated connected network contracts.     

Is Learning without teaching possible? The productive tension between network governance and reflexivity

ABSTRACT

Theories of reflexive governance are closely linked with the claim that more traditional modes of coordination have been replaced by networked structures, allowing reflexivity to emerge and reflexive learning to function as a steering mechanism in rapidly changing policy contexts. This paper explores this connection between reflexivity, governance, learning and networks in societal transitions, focusing particularly on the claim that networks will deliver reflexive learning. Using network theories from both policy networks and network governance and a case study of the Canadian agricultural biotechnology (agbiotech) policy network, it suggests that the kind of learning produced in networks will be a function of network structure. In particular, higher order reflexive learning will be compromised by the inevitability of the political struggle for nodality or central place in networks and the ensuing distribution of opportunities for bridging and bonding activities. Networks such as the Canadian agbiotech policy network that may promote learning but not necessarily reflexive learning are increasingly disadvantaged in contemporary policy settings.     

Design and optimization of new La1−xCexNi1−yFeyO3 (x,y = 0–0.4) nano catalysts in dry reforming of methane

The paper reports the production of syngas from dry reforming of methane (DRM) over La_1?xCe_xNi_1?yFe_yO₃ (x, y = 0–0.4) perovskites. A series of La_1?xCe_xNi_1?yFe_yO₃ were designed by central composite design (CCD) and synthesized by a sol–gel auto combustion method. Artificial neural network (ANN) approach was used to determine the relationship between preparation and operational parameters on the performance of the catalysts in the DRM process. Nickel mole fraction, lanthanum mole fraction, calcination temperature, and reaction temperature were considered as input variables, and conversion of methane was considered as the output variable. An ANN model with nine neurons in the hidden layer was the suitable in predicting conversion of methane. The genetic algorithm (GA) was subsequently used to determine the optimal preparation condition for enhancing the conversion of methane. La_0.6Ce_0.4Ni_0.99Fe_0.01O₃ catalyst, calcined at 756°C was obtained to be the most active catalyst owing to the optimal composition of nickel and lanthanum in the catalyst formulation.     

基于步降应力加速贮存试验的电缆网贮存寿命评估

目的针对某型电缆网开展加速贮存试验设计,并通过试验预测产品贮存寿命。方法基于步降应力加速贮存试验方法,结合Arrhenius模型,利用对数正态分布的极大似然估计法,对试验结果进行评估。结果根据加速贮存试验结果,在较短时间内评估得到电缆网的贮存寿命,评估得到电缆网在25℃下的平均寿命点估计值在20年以上,并获得其加速模型和加速因子。结论为电缆网贮存寿命的定量评估提供了一种参考方法,为武器装备延寿整修提供依据。     

海南岛潜在震源区的研究

本文应用人工神经网络原理,以地震构造和地震活动性为主要特征,对我国海南岛进行了潜在震源区的定量划分。这种划分既反映了当前人们对地震发生规律的认识水平,又为城建部门按照工程重要性和使用年限选取相应的抗震设计参数提供了依据。     

耐候ABS材料研究

通过自然气候老化和紫外老化试验UV-B,研究了ABS塑料外观颜色、力学性能在老化实验过程中的变化.试验结果表明:光稳定剂的加入,ABS耐候性能提高,相较未加光稳定剂ABS体系,AE值下降,冲击保持率提高,受阻胺光稳定剂A和紫外光吸收剂B、C并用有协同作用,光屏蔽剂的使用可以提高耐候性,从而降低成本.此外我们讨论了自然气...     

基于BP神经网络与马尔可夫链的污水处理厂脱氮效果模拟预测

在实际污水处理厂运行过程中,其最终出水水质会受多种因素影响制约,而基于生物反应机理的活性污泥数学模型(ASM)并未将这些生物反应以外的因素考虑在内,由此带来一些不足.对此,本文提出可通过基于数据挖掘技术的黑箱模型对污水厂处理效果进行模拟预测.结合具体实际分析,提出可将BP神经网络与马尔可夫链组合应用于污水处理脱氮效果预测中.首先,通过BP神经网络模型对北京某大型污水处理厂实际进出水数据和工艺参数进行粗略拟合;其次,利用马尔可夫链对拟合结果及误差进行状态划分以进一步提高预测精确度;最后,运用基于BP神经网络与马尔可夫链的组合模型预测分析了该厂的实际出水水质.试验结果表明,BP神经网络适用于污水处理脱氮过程的拟合计算,而通过与马尔可夫链组合,可以提高模拟预测的精度和可靠性.     

苏州水网地区河道底泥的重金属分布特征与污染风险

苏州100 km²水网地区采样点的底泥中重金属Cd、 Cu、 Cr、 As、 Ni、 Pb和Zn含量的平均值分别为1.4、127.4、83.2、18.2、51.7、145.1和350.7 mg·kg^-1,分别是背景值的13.7、5.7、1.1、1.7、1.9、5.5和5.6倍,超过GB 15618-2018标准风险筛选值的点位比例分别为100.0%、97.3%、38.4%、83.6%、97.3%、90.4%和100.0%.采用改进的地累积指数法评价单种重金属元素的污染程度,可知苏州水网地区底泥中7种重金属元素污染程度依次为：Cd>Cu>Pb>Zn>As>Cr>Ni,其中,Cd属于极强污染,Cu和Pb属于强度到极强污染,Zn属于强度污染,As属于中度到强度污染,Cr和Ni属于中度污染.古城区、西北部、西南部和东部底泥样品中Cd、 Pb、 Cu和Zn均是高污染贡献的重金属元素,重金属潜在生态风险程度从大到小依次为：西北部、西南部、古城区和东部.相关性分析和主成分分析表明,Cd、 Cu、 Cr、 As、 Ni、 ...     

瓦斯爆炸在角联通风管网中的传播特性研究*

为研究真实通风工况下瓦斯爆炸冲击波在复杂管网内的超压演化规律及高温传播规律,采用数值模拟方法,研究角联通风管网模型中各个监测点在不同通风条件下对瓦斯爆炸冲击波超压及高温的影响规律,研究结果表明:瓦斯爆炸冲击波在角联管网传播过程中产生3个局部高压区域,高温气体主要在左、右通路内传播,斜角联分支内只受到微弱影响;管网入口风流的存在,使得爆炸初期冲击波超压经相同距离传播用时更短,峰值更大,破坏力更强;风流的存在使得管网内高温气体传播状态发生改变,斜角联分支与左通路尾部热量发生积聚,温度峰值更大。     

BP神经网络在城市建成区面积预测中的应用——以江苏省为例

城市建成区规模的迅速扩张是目前江苏省土地利用变化中的一个显著特点，其面积从1985年的426 km2扩大到2003年的2 200 km2，平均年增加98.56 km2。城市建成区规模的扩张受到社会、经济、人口等多种因素的影响，用传统方法对其进行预测比较困难。鉴于BP神经网络在非线性领域预测中的广泛应用，以江苏省为研究对象，构建一个11-3-1结构的BP神经网络预测模型，以1985~2001年和2002年的相关数据作为模型的训练和测试样本，以2003年的社会、经济数据作为网络的预测输入，对该年的建成区面积进行预测。结果表明，BP神经网络预测结果与实际面积的相对误差为3.96%，其预测精度与多元回归预测模型相比有较大改善。