7种化学杀菌剂和拮抗菌代谢物对苹果斑点落叶病菌的抑制活性及增效组合筛选

目的 为苹果斑点落叶病的防控提供新颖的杀菌剂及其增效组合。方法 采用菌丝生长速率法测定了7种化学杀菌剂、拮抗菌发酵代谢物及其复配剂对苹果斑点落叶病菌的抑制活性。结果 7种化学杀菌剂均对病菌有较强的抑制活性,其中戊唑醇、苯醚甲环唑和丙环唑3种药剂对病菌抑制效果最佳,EC₅₀分别达0.21、0.30和0.81 μg/mL,其次为吡唑醚菌酯、代森锰锌和嘧菌酯。多菌灵的抑菌效果最差,EC₅₀为15.03 μg/mL。生防菌发酵上清液和发酵上清粗提物对病菌的EC₅₀分别为2.38 μL/mL和0.53 μL/mL。发酵上清液粗提物和代森锰锌、吡唑醚菌酯的复配均表现为增效作用,其中体积比6∶4和7∶3达最大毒性比,分别为1.39和1.41。结论 戊唑醇、苯醚甲环唑和丙环唑对苹果斑点落叶病菌的毒力最大。解淀粉芽孢杆菌SJ1606所产粗提物对化学杀菌剂代森锰锌和吡唑醚菌酯具有增效作用,为后续农药新制剂研发提供了参考数据。     

Cluster Synchronization in a Complex Dynamical Network with Two Nonidentical Clusters

This paper further investigates cluster synchronization in a complex dynamical network with two-cluster. Each cluster contains a number of identical dynamical systems, however, the subsystems composing the two clusters can be different, i.e., the individual dynamical system in one cluster can differ from that in the other cluster. Complete synchronization within each cluster is possible only if each node from one cluster receives the same input from nodes in other cluster. In this case, the stability condition of one-cluster synchronization is known to contain two terms： the first accounts for the contribution of the inner-cluster coupling structure while the second is simply an extra linear term, which can be deduced by the ＂same-input＂ condition. Applying the connection graph stability method, the authors obtain an upper bound of input strength for one cluster if the first account is known, by which the synchronizability of cluster can be scaled. For different clusters, there are different upper bound of input strength by virtue of different dynamics and the corresponding cluster structure. Moreover, two illustrative examples are presented and the numerical simulations coincide with the theoretical analysis.     

存货质押融资业务最优清算策略

研究了存货质押融资业务中企业违约后银行高效率、低成本清算质押存货的最优清算策略.构建了银行的损失效用函数,使用最优控制理论,获得了使得银行损失效用函数最小化的最优清算策略,并给出了相关参数的敏感性分析及算例分析.研究得出针对不同数量的质押存货所应采取的最优清算策略以及内生的最优清算时间.     

Analysis for gene networks based on logic relationships

The reverse construction and analysis of the networks of molecular interactions are essential for understanding their functions within cells. In this paper, a logic network model is constructed to investigate the complicated regulation mechanism of shoot genes of Arabidopsis Thaliana in response to stimuli. The dynamics of the complicated logic network is analyzed, discussed, and simulated. The simulation results show that the logic network of the active genes of shoot eventually evolves into eleven attractors under the stimuli, including five 1-periodic and six 2-periodic attractors. Our work provides valuable reference and guidance for biologists to understand and explain Arabidopsis’ response to external stimuli by experiments.     

基于混沌差分进化算法的飞机等效系统拟配研究

提出了基于Tent映射的混沌差分进化算法。以某飞机纵向短周期系统为例,首次研究了基于混沌差分进化算法的飞机等效系统的拟配,克服了一些传统的拟配算法存在的一些缺点。仿真结果表明,基于混沌差分进化算法拟配得到的等效系统满足等效系统拟配的各项要求和一级飞行品质的要求,取得了更好的拟配效果。证明该算法在飞机等效系统拟配中的有效性和高效性。

Abstract：

Chaotic differential evolution algorithm based on Tent map was introduced. Taking aircraft longitudinal short period system as an example,the analog-matching of the aircraft longitudinal equivalent system based on chaotic differential evolution algorithm was studied firstly and overcome the disadvantages of the conventional algorithms in the analog-matching of equivalent system. The simulation results show that the equivalent system by chaotic differential evolution algorithm is satisfied the various requirements in the analog-matching of equivalent system and the requirement of level 1 flight qualities,and has obtained better analog-matching results. The usefulness and high effectiveness of the chaotic differential evolution algorithm in the analog-matching of aircraft equivalent system is proved.     

Interaction model of artificial fish in virtual environment

Conventional artificial fish has some shortages on the interaction with environment, other fish, and the animator. This article proposes a multi-tier interaction control model of artificial fish, realizes the interaction model through integration of virtual reality technology and Markov sequence, and provides a virtual marine world to describe the interaction between artificial fish and the virtual environment and the interaction between the artificial fish and the animator. Simulation results show that the interaction model owns not only the basic characteristics of virtual biology, but also has high trueness interaction function.     

A STAGE-STRUCTURED SI ECO-EPIDEMIOLOGICAL MODEL WITH TIME DELAY AND IMPULSIVE CONTROLLING*

This paper formulates a robust stage-structured SI eco-epidemiological model with periodic constant pulse releasing of infectious pests with pathogens. The authors show that the conditions for global attractivity of the ＇pest-eradication＇ periodic solution and permanence of the system depend on time delay, hence, the authors call it ＂profitless＂. Further, the authors present a pest management strategy in which the pest population is kept under the economic threshold level （ETL） when the pest population is uniformly persistent. By numerical analysis, the authors also show that constant maturation time delay for the susceptible pests and pulse releasing of the infectious pests can bring obvious effects on the dynamics of system.     

仿青蛙跳跃机器人运动学研究

提出了仿青蛙跳跃机器人机构模型及运动学研究的方法。基于对青蛙运动的研究,提出了仿青蛙机器人单侧跳跃机构的分析模型,采用D-H法,建立了机器人起跳与腾空两个阶段,其前肢和后肢的运动学方程,进行了正、逆运动学研究。分析机器人四肢的运动空间,并通过实例计算,验证了研究结果和生物学实测结果相一致,从而证明了这一仿生跳跃机构模型的可行性和仿生机构运动研究方法的有效性。得出的结论将为仿青蛙跳跃机器人的设计及控制提供理论基础。     

Optimizing Concurrent Product Development Process Using Genetic Algorithm

0　IntroductionTimesaving,timetomarketandcycletimereductionarethenewgoalsandaimsforenterprisesinordertosuccessfullycompeteintothemodernglobalmarket[1].Thereisnodoubtthatconcurrentconsiderationofproductandprocessdesignimprovesproductqualityandreducesthere-designwork,whichleadstoshorterproductlead-time.Buttheconcurrentdevelopmentfashionbringsaboutmoreobstaclessuchascomplextimeorder,informationandresourceconstrainednatureofrelationshipsbetweenactivitiestothedesignprocess,whichleadtothefactthatiti…     

基于BFM算法的空间有形目标识别方法

为了对具有复杂边缘的目标进行更准确的检测识别,提出了一种基于边界片段模板(boundary frag-ment model)训练模式的目标识别方法.方法首先提取目标的边界片段组成弱分类器,然后使用AdaBoost算法将它们提升训练成为强分类器,并用其进行检测和识别目标.仿真实验表明,该方法对有形目标,特别是对具有复杂边缘的空间有形目标有较好的识别效果.