新型城镇化背景下工业型城镇空间规划引导初探——以慈溪市观海卫镇为例

推进新型城镇化是新时期的重要战略任务,是各城镇走向健康、可持续发展的主要路径之一.为此,以慈溪市观海卫镇为例,通过实地调研和问题思考,分析工业型城镇的空间发展历程及特征,指出其存在以外延扩张式发展为主导、开发模式亟待转变、用地布局杂乱、缺乏有序引导、公建设施与公共空间不足等问题.新型城镇化战略下,工业型城镇应加快城镇产业转型和城乡产业协同发展,促进城镇发展动力多元化;转变城镇发展模式,注重城镇内涵式发展;以人为本,提高城镇品质,建设现代化城镇.     

Modeling of Anionic Polymerization of Isoprene in an Industrial Reactor

One of the most important reasons for modeling polymerization processes is to provide a tool for estimating the risks of runaway reactions in polymer industry. This is especially important for batch processes, such as anionic polymerization of isoprene or butadiene. This work presents a theoretical and experimental research of the anionic polymerization of isoprene using cyclohexane as solvent and n‐butyllithium as initiator. In the first part, a phenomenological kinetic expression is obtained that describes the anionic polymerization of isoprene initiated by n‐butyllithium in cyclohexane. In the second, the mass and energy balance equations are solved to model the anionic polymerization of isoprene in a quasi‐adiabatic batch reactor. Adjustment of reactor parameters is made using the data obtained from a laboratory reactor. The proposed model predicts adequately the obtained temperature, pressure, and conversion profiles from this set of experiments. Finally, a mathematical model is developed to predict the behavior for the anionic polymerization of isoprene in an industrial reactor.     

Effect of hemp surface modification on the morphological and tensile properties of linear medium density polyethylene (LMDPE) composites

This work investigates different hemp surface modifications (mercerization, maleated polyethylene (MAPE) addition in solution or in melt blending) to improve the properties of linear medium density polyethylene (LMDPE). From the composites produced, a complete morphological and tensile characterization was performed for a fixed hemp content (30% wt.). The morphological analysis showed that both the direct (melt blending) and solution modifications were able to significantly improve the composites interface quality and therefore the tensile properties (151% increase in modulus and 36% increase in strength over the neat matrix) within the range of conditions tested.     

Computational Modeling of Organizations Comes of Age

As they are maturing—i.e., as they are becoming validated, calibrated and refined—computational emulation models of organizations are evolving into: powerful new kinds of organizational design tools for predicting and mitigating organizational risks; and flexible new kinds of organizational theorem-provers for validating extant organization theory and developing new theory. Over the past 50 years, computational modeling and simulation have had enormous impacts on the rate of advancement of knowledge in fields like physics, chemistry and, more recently, biology; and their subsequent application has enabled whole new areas of engineering practice. In the same way, as our young discipline comes of age, computational organizational models are beginning to impact behavioral, organizational and economic science, and management consulting practice. This paper attempts to draw parallels between computational modeling in natural sciences and computational modeling of organizations as a contributor to both social science and management practice.To illustrate the lifecycle of a computational organizational model that is now relatively mature, this paper traces the evolution of the Virtual Design Team (VDT) computational modeling and simulation research project at Stanford University from its origins in 1988 to the present. It lays out the steps in the process of validating VDT as a computational emulation model of organizations to the point that VDT began to influence management practice and, subsequently, to advance organizational science. We discuss alternate research trajectories that can be taken by computational and mathematical modelers who prefer the typical natural science validation trajectory—i.e., who attempt to impact organizational science first and, perhaps subsequently, to impact management practice.The paper concludes with a discussion of the current state-of-the-art of computational modeling of organizations and some thoughts about where, and how rapidly, the field is headed.     

Computer-Aided Screening for Potential Coronavirus 3-Chymotrypsin-like Protease (3CLpro) Inhibitory Peptides from Putative Hemp Seed Trypsinized Peptidome

To control the COVID-19 pandemic, antivirals that specifically target the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are urgently required. The 3-chymotrypsin-like protease (3CLpro) is a promising drug target since it functions as a catalytic dyad in hydrolyzing polyprotein during the viral life cycle. Bioactive peptides, especially food-derived peptides, have a variety of functional activities, including antiviral activity, and also have a potential therapeutic effect against COVID-19. In this study, the hemp seed trypsinized peptidome was subjected to computer-aided screening against the 3CLpro of SARS-CoV-2. Using predictive trypsinized products of the five major proteins in hemp seed (i.e., edestin 1, edestin 2, edestin 3, albumin, and vicilin), the putative hydrolyzed peptidome was established and used as the input dataset. To select the Cannabis sativa antiviral peptides (csAVPs), a predictive bioinformatic analysis was performed by three webserver screening programs: iAMPpred, AVPpred, and Meta-iAVP. The amino acid composition profile comparison was performed by COPid to screen for the non-toxic and non-allergenic candidates, ToxinPred and AllerTOP and AllergenFP, respectively. GalaxyPepDock and HPEPDOCK were employed to perform the molecular docking of all selected csAVPs to the 3CLpro of SARS-CoV-2. Only the top docking-scored candidate (csAVP4) was further analyzed by molecular dynamics simulation for 150 nanoseconds. Molecular docking and molecular dynamics revealed the potential ability and stability of csAVP4 to inhibit the 3CLpro catalytic domain with hydrogen bond formation in domain 2 with short bonding distances. In addition, these top ten candidate bioactive peptides contained hydrophilic amino acid residues and exhibited a positive net charge. We hope that our results may guide the future development of alternative therapeutics against COVID-19.     

煤粉再燃对600 MW锅炉NOx排放的影响

在国内某台燃用褐煤的600 MW机组锅炉上进行了煤粉再燃技术示范并进行了工业试验.机组在600 MW负荷下运行时,NOx排放可控制在274 mg/m3(烟气中氧量折算到6%,下同)的水平,比改造前下降了65.36%,同时燃烧效率没有降低.进行了常规通风、空气分级和煤粉再燃三个工况下的试验,结果表明,煤粉再燃对NOx的控制效果最好,其次为空气分级.再燃煤粉比例对NOx排放也有明显的影响,在试验条件下,随着再燃燃料比例的增加,NOx排放呈降低趋势.     

基于变分不等式的生态工业链网络均衡问题研究

以变分不等式为基础提出生态工业链网络均衡模型。生态工业链是通过仿照自然生态系统中的物质循环方式与生物群体之间的竞争与共生模式,使不同企业之间形成共享资源和互换副产品从而实现园区各企业经济与环境效益的最大化。针对生态工业链网络的多产品(主副产品和废弃物)多层次的网络结构,模仿自然生态系统中的生产者、消费者和分解者,分别对各层决策者的独立优化决策行为及其相互作用进行分析,利用变分不等式分析各层均衡条件进而构建生态工业链网络均衡模型,得到系统达到均衡的条件并给出相应的经济解释。在证明系统变分不等式的解存在的基础上,通过数值算例验证模型的合理性与有效性。     

基于传染病模型的集群内异质企业间知识传播机理分析与仿真

知识传播是产业集群内知识资源动态累积的过程,是新时期产业集群竞争优势的重要源泉之一。本文根据企业规模及其在产业集群内地位的差异将集群企业划分大小两类异质企业,构建了基于传染病模型的产业集群内异质企业间的知识传播模型,通过模型分析推导出了知识传播再生数的一般表达式,验证了知识传播平衡点的存在性与稳定性。进一步结合仿真分析发现,企业间接触率、学习成功率、大小企业比例均会影响到知识传播的再生率,进而影响集群知识传播的平衡点,且在知识传播再生数大于1的情况下,随着集群内大企业占比的上升,知识传播再生数将相应下降,集群内知识交流氛围的活跃性也将下降。     

高技术产业技术创新与产业集聚协同发展实证研究——基于京津冀、长三角、珠三角的比较

运用复合系统协同度模型, 测算了2010~2018年京津冀、长三角、珠三角高技术产业及其细分行业的技术创新与产业集聚协同度. 结果表明 在研究期内, 高技术产业技术创新与产业集聚协同度总体在低位运行, 大部分处于未协同和较低水平协同, 且技术创新发展在2014年后明显快于产业集聚; 京津冀、长三角均处于初始阶段向成长阶段过渡时期, 珠三角则相对领先, 逐渐向协作阶段跨越; 京津冀在航空、航天器及设备制造业上最具协同优势, 长三角在医药制造业、医疗仪器设备及仪器仪表制造业上向协作阶段过渡的优势明显, 珠三角在电子及通信设备制造业、医疗仪器设备及仪器仪表制造业上有向协作阶段发展的势头.     

Industrial Applications of Gold Catalysis

Gold catalysis has recently found its first large‐scale applications in the chemical industry. This Minireview provides a critical analysis of the success factors and of the main obstacles that had to be overcome on the long way from the discovery to the commercialization of gold catalysts. The insights should be useful to researchers in both academia and industry working on the development of tomorrow's gold catalysts to tackle significant environmental and economic issues.